{ "results": [ { "id": "5cba118835c348cbf6e40e6757b5d1e9", "title": "Data Technical Trainer", "employer_name": "Multiverse", "employer_slug": "multiverse", "location_text": "London, England, UK, Remote (UK)", "country": "GB", "employment_type": "full_time", "remote_status": "remote", "remote_status_source": null, "remote_status_enriched_at": null, "days_in_office": 0, "timezone_overlap_hours": 3, "salary_min": null, "salary_max": null, "salary_min_source": null, "salary_max_source": null, "salary_currency": "USD", "salary_type": "unknown", "salary_type_source": null, "salary_type_enriched_at": null, "salary_period": null, "base_salary_min": null, "base_salary_max": null, "salary_disclosed": false, "equity_included": true, "equity_included_source": null, "equity_type": [ "options" ], "k401_match": null, "match_401k_pct": null, "match_401k_pct_source": null, "k401_match_source_url": null, "k401_match_source_fields": [], "k401_contribution_source_url": null, "k401_contribution_source_fields": [], "profit_sharing": false, "bonus_offered": false, "mental_health_support": null, "childcare_subsidy": null, "fertility_family_building_benefits": null, "adoption_assistance_offered": null, "surrogacy_assistance_offered": null, "student_loan_repayment_offered": null, "learning_budget_offered": null, "relocation_assistance": null, "top_startup_sources": [ "cbinsights_unicorn" ], "posted_at": "2026-03-12T12:46:23.744Z", "apply_url": "https://jobs.ashbyhq.com/multiverse/53e92ccb-dbff-4dac-9eb6-2fad81532137", "apply_url_verified": false, "ats": "ashby", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Data Technical Trainer London, England, UK, Remote (UK) Multiverse is the upskilling platform for AI and Tech adoption. We have partnered with 1,500+ companies to deliver a new kind of learning that's transforming today's workforce. Our upskilling apprenticeships are designed for people of any age and career stage to build critical AI, data, and tech skills. Our learners have driven $2bn+ ROI for their employers, using the skills they've learned to improve productivity and measurable performance. In June 2022, we announced a $220 million Series D funding round co-led by StepStone Group, Lightspeed Venture Partners and General Catalyst. With a post-money valuation of $1.7bn, the round makes us the UK's first EdTech unicorn. But we aren't stopping there. With a strong operational footprint and 800+ employees, we have ambitious plans to continue scaling. We're building a world where tech skills unlock people's potential and output. Join Multiverse and power our mission to equip the workforce to win in the AI era. The Opportunity As an instructor, you will be responsible for the delivery of our technical content and supporting our apprentices in upskilling in these technical areas through workshops and drop in sessions. You will help apprentices develop the appropriate Knowledge, Skills & Behaviours throughout their programme. The Multiverse delivery team is a diverse mix of industry experts, educators, and academics, working together to build the future of work. You will be part of this team, reporting to a Delivery Lead who will guide your development. To ensure a strong", "parental_leave_weeks": null, "non_birth_parent_leave_weeks": null, "parental_leave_weeks_source": null, "non_birth_parent_leave_weeks_source": null, "parental_leave_source_url": null, "pto_days": null, "unlimited_pto": false, "sabbatical_eligible": false, "family_friendly_score": 51, "benefit_verified": false, "benefit_last_verified": null, "hire_states_allowed": [], "state_eligibility_source": null, "state_eligibility_enriched_at": null, "llm_quality_pass_at": null, "seniority": "mid", "years_experience_min": 3, "years_experience_max": 7, "role_function": "data", "employer_industry": null, "employer_size": "51-200", "quality_score": 45, "travel_pct": null, "requires_shift": null, "shift_type": "unknown", "shift_type_source": null, "weekend_work": "unknown", "weekend_work_source": null, "relocation_assistance_source": null, "contractor_w2": "unknown", "required_timezone": null, "fertility_family_building_benefits_source": null, "mental_health_support_source": null, "adoption_assistance_offered_source": null, "childcare_subsidy_source": null, "learning_budget_offered_source": null, "surrogacy_assistance_offered_source": null, "cover_letter_required": null, "cover_letter_required_source": null, "assessment_required": null, "assessment_required_source": null, "application_deadline": null, "application_deadline_source": null, "visa_sponsorship": false, "us_citizenship_required": false, "security_clearance": "none", "education_required": "none", "roll_up_count": null, "roll_up_total_locations": null, "explanations": [ { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.description_excerpt.5914bc9c2df340b77b", "query_id": "gq_d53b1e344183fcf53efb", "job_id": "5cba118835c348cbf6e40e6757b5d1e9", "signal_type": "query_match", "display_text": "Description: \"multiverse\"", "tooltip": "Description matched \"multiverse\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "description_excerpt", "source_value": "Data Technical Trainer London, England, UK, Remote (UK) Multiverse is the upskilling platform for AI and Tech adoption. We have partnered with 1,500+ companies to deliver a new kind of learning that's transforming today's workforce. Our upskilling apprenticeships are designed for people of any age and career stage to build critical AI, data, and tech skills. Our learners have driven $2bn+ ROI for their employers, using the skills they've learned to improve productivity and measurable performance. In June 2022, we announced a $220 million Series D funding round co-led by StepStone Group, Lightspeed Venture Partners and General Catalyst. With a post-money valuation of $1.7bn, the round makes us the UK's first EdTech unicorn. But we aren't stopping there. With a strong operational footprint and 800+ employees, we have ambitious plans to continue scaling. We're building a world where tech skills unlock people's potential and output. Join Multiverse and power our mission to equip the workforce to win in the AI era. The Opportunity As an instructor, you will be responsible for the delivery of our technical content and supporting our apprentices in upskilling in these technical areas through workshops and drop in sessions. You will help apprentices develop the appropriate Knowledge, Skills & Behaviours throughout their programme. The Multiverse delivery team is a diverse mix of industry experts, educators, and academics, working together to build the future of work. You will be part of this team, reporting to a Delivery Lead who will guide your development. To ensure a strong", "matched_input": "multiverse", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_d53b1e344183fcf53efb:5cba118835c348cbf6e40e6757b5d1e9:description:multiverse", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 90, "mobile_priority": 1, "ui": { "icon": "Search", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.employer_name.5f45702361f3f4b7c1", "query_id": "gq_d53b1e344183fcf53efb", "job_id": "5cba118835c348cbf6e40e6757b5d1e9", "signal_type": "query_match", "display_text": "Employer: \"multiverse\"", "tooltip": "Employer matched \"multiverse\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "employer_name", "source_value": "Multiverse", "matched_input": "multiverse", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_d53b1e344183fcf53efb:5cba118835c348cbf6e40e6757b5d1e9:employer:multiverse", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 90, "mobile_priority": 1, "ui": { "icon": "Search", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.semantic.employer_name.a0bfcf46c890b8afcd", "query_id": "gq_d53b1e344183fcf53efb", "job_id": "5cba118835c348cbf6e40e6757b5d1e9", "signal_type": "query_match", "display_text": "Employer: semantic match", "tooltip": "Employer provided semantic evidence for your search intent.", "source_binding": "reranker_semantic_evidence", "source_field": "employer_name", "source_value": "Multiverse", "matched_input": "multiverse", "derivation_source": "rerank_result.semantic_evidence", "candidate_evidence_id": null, "rerank_evidence_id": "rerank:66a0695cea7180e6abc6123d", "taxonomy_alias_id": null, "oracle_verification_method": "reranker_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": false, "priority": 86, "mobile_priority": 2, "ui": { "icon": "Sparkles", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.employer_name.e6b8cd5b93df4a9dfc", "query_id": "gq_d53b1e344183fcf53efb", "job_id": "5cba118835c348cbf6e40e6757b5d1e9", "signal_type": "query_match", "display_text": "Employer: \"multiverse\"", "tooltip": "Employer contains \"multiverse\" from your search.", "source_binding": "token_match", "source_field": "employer_name", "source_value": "Multiverse", "matched_input": "multiverse", "derivation_source": "row_field", "candidate_evidence_id": null, "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "row_field_contains", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 80, "mobile_priority": 2, "ui": { "icon": "SearchCheck", "tone": "match", "href": null } } ] }, { "id": "35ff0f2b1cbb698c99f8f7d66793f011", "title": "Data Coach", "employer_name": "Multiverse", "employer_slug": "multiverse", "location_text": "Remote (UK), UK, London", "country": "GB", "employment_type": "unknown", "remote_status": "remote", "remote_status_source": null, "remote_status_enriched_at": null, "days_in_office": 0, "timezone_overlap_hours": 3, "salary_min": null, "salary_max": null, "salary_min_source": null, "salary_max_source": null, "salary_currency": "USD", "salary_type": "unknown", "salary_type_source": null, "salary_type_enriched_at": null, "salary_period": null, "base_salary_min": null, "base_salary_max": null, "salary_disclosed": false, "equity_included": true, "equity_included_source": null, "equity_type": [ "options" ], "k401_match": null, "match_401k_pct": null, "match_401k_pct_source": null, "k401_match_source_url": null, "k401_match_source_fields": [], "k401_contribution_source_url": null, "k401_contribution_source_fields": [], "profit_sharing": false, "bonus_offered": false, "mental_health_support": null, "childcare_subsidy": null, "fertility_family_building_benefits": null, "adoption_assistance_offered": null, "surrogacy_assistance_offered": null, "student_loan_repayment_offered": null, "learning_budget_offered": null, "relocation_assistance": null, "top_startup_sources": [ "cbinsights_unicorn" ], "posted_at": "2026-05-18T15:00:39.828Z", "apply_url": "https://jobs.ashbyhq.com/multiverse/dd2c4b8f-e781-49e9-a520-7c5536e26646", "apply_url_verified": false, "ats": "ashby", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Data Coach Remote (UK), UK, London Multiverse is the upskilling platform for AI and Tech adoption. We have partnered with 1,500+ companies to deliver a new kind of learning that's transforming today's workforce. Our upskilling apprenticeships are designed for people of any age and career stage to build critical AI, data, and tech skills. Our learners have driven $2bn+ ROI for their employers, using the skills they've learned to improve productivity and measurable performance. In June 2022, we announced a $220 million Series D funding round co-led by StepStone Group, Lightspeed Venture Partners and General Catalyst. With a post-money valuation of $1.7bn, the round makes us the UK's first EdTech unicorn. But we aren't stopping there. With a strong operational footprint and 800+ employees, we have ambitious plans to continue scaling. We're building a world where tech skills unlock people's potential and output. Join Multiverse and power our mission to equip the workforce to win in the AI era. The Opportunity As a Data Cohort Coach you will be responsible for guiding the learning experience for apprentices and helping them reach their full potential. Your role will be focusing on personalised coaching, where you'll be supporting apprentices across multiple businesses to become the next generation of business leaders. Specifically, You Will - Guide apprentices to successful, timely completion of their programme. - Master group and individualised coaching techniques to enhance apprentice learning. - Adhere to coach quality frameworks to ensure a consistent level of quality for every coaching session and", "parental_leave_weeks": null, "non_birth_parent_leave_weeks": null, "parental_leave_weeks_source": null, "non_birth_parent_leave_weeks_source": null, "parental_leave_source_url": null, "pto_days": null, "unlimited_pto": false, "sabbatical_eligible": false, "family_friendly_score": 51, "benefit_verified": false, "benefit_last_verified": null, "hire_states_allowed": [], "state_eligibility_source": null, "state_eligibility_enriched_at": null, "llm_quality_pass_at": null, "seniority": "mid", "years_experience_min": 3, "years_experience_max": 7, "role_function": "data", "employer_industry": null, "employer_size": "51-200", "quality_score": 45, "travel_pct": null, "requires_shift": null, "shift_type": "unknown", "shift_type_source": null, "weekend_work": "unknown", "weekend_work_source": null, "relocation_assistance_source": null, "contractor_w2": "unknown", "required_timezone": null, "fertility_family_building_benefits_source": null, "mental_health_support_source": null, "adoption_assistance_offered_source": null, "childcare_subsidy_source": null, "learning_budget_offered_source": null, "surrogacy_assistance_offered_source": null, "cover_letter_required": null, "cover_letter_required_source": null, "assessment_required": null, "assessment_required_source": null, "application_deadline": null, "application_deadline_source": null, "visa_sponsorship": false, "us_citizenship_required": false, "security_clearance": "none", "education_required": "masters", "roll_up_count": null, "roll_up_total_locations": null, "explanations": [ { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.description_excerpt.273755fb08693ff781", "query_id": "gq_d53b1e344183fcf53efb", "job_id": "35ff0f2b1cbb698c99f8f7d66793f011", "signal_type": "query_match", "display_text": "Description: \"multiverse\"", "tooltip": "Description matched \"multiverse\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "description_excerpt", "source_value": "Data Coach Remote (UK), UK, London Multiverse is the upskilling platform for AI and Tech adoption. We have partnered with 1,500+ companies to deliver a new kind of learning that's transforming today's workforce. Our upskilling apprenticeships are designed for people of any age and career stage to build critical AI, data, and tech skills. Our learners have driven $2bn+ ROI for their employers, using the skills they've learned to improve productivity and measurable performance. In June 2022, we announced a $220 million Series D funding round co-led by StepStone Group, Lightspeed Venture Partners and General Catalyst. With a post-money valuation of $1.7bn, the round makes us the UK's first EdTech unicorn. But we aren't stopping there. With a strong operational footprint and 800+ employees, we have ambitious plans to continue scaling. We're building a world where tech skills unlock people's potential and output. Join Multiverse and power our mission to equip the workforce to win in the AI era. The Opportunity As a Data Cohort Coach you will be responsible for guiding the learning experience for apprentices and helping them reach their full potential. Your role will be focusing on personalised coaching, where you'll be supporting apprentices across multiple businesses to become the next generation of business leaders. Specifically, You Will - Guide apprentices to successful, timely completion of their programme. - Master group and individualised coaching techniques to enhance apprentice learning. - Adhere to coach quality frameworks to ensure a consistent level of quality for every coaching session and", "matched_input": "multiverse", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_d53b1e344183fcf53efb:35ff0f2b1cbb698c99f8f7d66793f011:description:multiverse", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 90, "mobile_priority": 1, "ui": { "icon": "Search", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.employer_name.d856f13b4eea1f1c2b", "query_id": "gq_d53b1e344183fcf53efb", "job_id": "35ff0f2b1cbb698c99f8f7d66793f011", "signal_type": "query_match", "display_text": "Employer: \"multiverse\"", "tooltip": "Employer matched \"multiverse\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "employer_name", "source_value": "Multiverse", "matched_input": "multiverse", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_d53b1e344183fcf53efb:35ff0f2b1cbb698c99f8f7d66793f011:employer:multiverse", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 90, "mobile_priority": 1, "ui": { "icon": "Search", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.semantic.employer_name.3c54452f70ec15dab9", "query_id": "gq_d53b1e344183fcf53efb", "job_id": "35ff0f2b1cbb698c99f8f7d66793f011", "signal_type": "query_match", "display_text": "Employer: semantic match", "tooltip": "Employer provided semantic evidence for your search intent.", "source_binding": "reranker_semantic_evidence", "source_field": "employer_name", "source_value": "Multiverse", "matched_input": "multiverse", "derivation_source": "rerank_result.semantic_evidence", "candidate_evidence_id": null, "rerank_evidence_id": "rerank:9500f956f18db279d5780991", "taxonomy_alias_id": null, "oracle_verification_method": "reranker_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": false, "priority": 86, "mobile_priority": 2, "ui": { "icon": "Sparkles", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.employer_name.39f301abc8e2b5eff9", "query_id": "gq_d53b1e344183fcf53efb", "job_id": "35ff0f2b1cbb698c99f8f7d66793f011", "signal_type": "query_match", "display_text": "Employer: \"multiverse\"", "tooltip": "Employer contains \"multiverse\" from your search.", "source_binding": "token_match", "source_field": "employer_name", "source_value": "Multiverse", "matched_input": "multiverse", "derivation_source": "row_field", "candidate_evidence_id": null, "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "row_field_contains", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 80, "mobile_priority": 2, "ui": { "icon": "SearchCheck", "tone": "match", "href": null } } ] }, { "id": "35770900184e468eb16648cfd80dcb52", "title": "AI - Technical Trainer", "employer_name": "Multiverse", "employer_slug": "multiverse", "location_text": "London, England, UK, Remote (UK)", "country": "GB", "employment_type": "unknown", "remote_status": "remote", "remote_status_source": null, "remote_status_enriched_at": null, "days_in_office": 0, "timezone_overlap_hours": 3, "salary_min": null, "salary_max": null, "salary_min_source": null, "salary_max_source": null, "salary_currency": "USD", "salary_type": "unknown", "salary_type_source": null, "salary_type_enriched_at": null, "salary_period": null, "base_salary_min": null, "base_salary_max": null, "salary_disclosed": false, "equity_included": true, "equity_included_source": null, "equity_type": [ "options" ], "k401_match": null, "match_401k_pct": null, "match_401k_pct_source": null, "k401_match_source_url": null, "k401_match_source_fields": [], "k401_contribution_source_url": null, "k401_contribution_source_fields": [], "profit_sharing": false, "bonus_offered": false, "mental_health_support": null, "childcare_subsidy": null, "fertility_family_building_benefits": null, "adoption_assistance_offered": null, "surrogacy_assistance_offered": null, "student_loan_repayment_offered": null, "learning_budget_offered": null, "relocation_assistance": null, "top_startup_sources": [ "cbinsights_unicorn" ], "posted_at": "2026-03-12T12:43:00.213Z", "apply_url": "https://jobs.ashbyhq.com/multiverse/9b270fc2-7887-4f4f-8d8c-07eb3d90c811", "apply_url_verified": false, "ats": "ashby", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "AI - Technical Trainer London, England, UK, Remote (UK) Multiverse is the upskilling platform for AI and Tech adoption. We have partnered with 1,500+ companies to deliver a new kind of learning that's transforming today's workforce. Our upskilling apprenticeships are designed for people of any age and career stage to build critical AI, data, and tech skills. Our learners have driven $2bn+ ROI for their employers, using the skills they've learned to improve productivity and measurable performance. In June 2022, we announced a $220 million Series D funding round co-led by StepStone Group, Lightspeed Venture Partners and General Catalyst. With a post-money valuation of $1.7bn, the round makes us the UK's first EdTech unicorn. But we aren't stopping there. With a strong operational footprint and 800+ employees, we have ambitious plans to continue scaling. We're building a world where tech skills unlock people's potential and output. Join Multiverse and power our mission to equip the workforce to win in the AI era. The Opportunity We are seeking a passionate and knowledgeable AI Technical Trainer with working knowledge in training, tuning, deploying, and monitoring classical and deep Machine Learning models. As an AI Technical Trainer you will be responsible for delivering high-quality curriculum and mentoring learners, guiding them professionally and will be involved in continuous improvement of relevant learning products. You can expect to cover learning products such as AI & Machine Learning Fellowship and support delivering Machine Learning-related content in higher-level apprenticeship programmes such as Advanced Data Fellowship and AI", "parental_leave_weeks": null, "non_birth_parent_leave_weeks": null, "parental_leave_weeks_source": null, "non_birth_parent_leave_weeks_source": null, "parental_leave_source_url": null, "pto_days": null, "unlimited_pto": false, "sabbatical_eligible": false, "family_friendly_score": 51, "benefit_verified": false, "benefit_last_verified": null, "hire_states_allowed": [], "state_eligibility_source": null, "state_eligibility_enriched_at": null, "llm_quality_pass_at": null, "seniority": "mid", "years_experience_min": 3, "years_experience_max": 7, "role_function": "engineering", "employer_industry": null, "employer_size": "51-200", "quality_score": 45, "travel_pct": null, "requires_shift": null, "shift_type": "unknown", "shift_type_source": null, "weekend_work": "unknown", "weekend_work_source": null, "relocation_assistance_source": null, "contractor_w2": "unknown", "required_timezone": null, "fertility_family_building_benefits_source": null, "mental_health_support_source": null, "adoption_assistance_offered_source": null, "childcare_subsidy_source": null, "learning_budget_offered_source": null, "surrogacy_assistance_offered_source": null, "cover_letter_required": null, "cover_letter_required_source": null, "assessment_required": null, "assessment_required_source": null, "application_deadline": null, "application_deadline_source": null, "visa_sponsorship": false, "us_citizenship_required": false, "security_clearance": "none", "education_required": "none", "roll_up_count": null, "roll_up_total_locations": null, "explanations": [ { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.description_excerpt.9adb79a2089caa22d5", "query_id": "gq_d53b1e344183fcf53efb", "job_id": "35770900184e468eb16648cfd80dcb52", "signal_type": "query_match", "display_text": "Description: \"multiverse\"", "tooltip": "Description matched \"multiverse\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "description_excerpt", "source_value": "AI - Technical Trainer London, England, UK, Remote (UK) Multiverse is the upskilling platform for AI and Tech adoption. We have partnered with 1,500+ companies to deliver a new kind of learning that's transforming today's workforce. Our upskilling apprenticeships are designed for people of any age and career stage to build critical AI, data, and tech skills. Our learners have driven $2bn+ ROI for their employers, using the skills they've learned to improve productivity and measurable performance. In June 2022, we announced a $220 million Series D funding round co-led by StepStone Group, Lightspeed Venture Partners and General Catalyst. With a post-money valuation of $1.7bn, the round makes us the UK's first EdTech unicorn. But we aren't stopping there. With a strong operational footprint and 800+ employees, we have ambitious plans to continue scaling. We're building a world where tech skills unlock people's potential and output. Join Multiverse and power our mission to equip the workforce to win in the AI era. The Opportunity We are seeking a passionate and knowledgeable AI Technical Trainer with working knowledge in training, tuning, deploying, and monitoring classical and deep Machine Learning models. As an AI Technical Trainer you will be responsible for delivering high-quality curriculum and mentoring learners, guiding them professionally and will be involved in continuous improvement of relevant learning products. You can expect to cover learning products such as AI & Machine Learning Fellowship and support delivering Machine Learning-related content in higher-level apprenticeship programmes such as Advanced Data Fellowship and AI", "matched_input": "multiverse", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_d53b1e344183fcf53efb:35770900184e468eb16648cfd80dcb52:description:multiverse", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 90, "mobile_priority": 1, "ui": { "icon": "Search", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.employer_name.4c48dc02f586053b14", "query_id": "gq_d53b1e344183fcf53efb", "job_id": "35770900184e468eb16648cfd80dcb52", "signal_type": "query_match", "display_text": "Employer: \"multiverse\"", "tooltip": "Employer matched \"multiverse\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "employer_name", "source_value": "Multiverse", "matched_input": "multiverse", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_d53b1e344183fcf53efb:35770900184e468eb16648cfd80dcb52:employer:multiverse", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 90, "mobile_priority": 1, "ui": { "icon": "Search", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.semantic.employer_name.65fc7420134244d47b", "query_id": "gq_d53b1e344183fcf53efb", "job_id": "35770900184e468eb16648cfd80dcb52", "signal_type": "query_match", "display_text": "Employer: semantic match", "tooltip": "Employer provided semantic evidence for your search intent.", "source_binding": "reranker_semantic_evidence", "source_field": "employer_name", "source_value": "Multiverse", "matched_input": "multiverse", "derivation_source": "rerank_result.semantic_evidence", "candidate_evidence_id": null, "rerank_evidence_id": "rerank:7a6d513d046a91c111bd40d2", "taxonomy_alias_id": null, "oracle_verification_method": "reranker_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": false, "priority": 86, "mobile_priority": 2, "ui": { "icon": "Sparkles", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.employer_name.37d63df1ce9e3761a2", "query_id": "gq_d53b1e344183fcf53efb", "job_id": "35770900184e468eb16648cfd80dcb52", "signal_type": "query_match", "display_text": "Employer: \"multiverse\"", "tooltip": "Employer contains \"multiverse\" from your search.", "source_binding": "token_match", "source_field": "employer_name", "source_value": "Multiverse", "matched_input": "multiverse", "derivation_source": "row_field", "candidate_evidence_id": null, "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "row_field_contains", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 80, "mobile_priority": 2, "ui": { "icon": "SearchCheck", "tone": "match", "href": null } } ] }, { "id": "165f1c9d8093fb5bb5ba085a2f5f90aa", "title": "AI Coach", "employer_name": "Multiverse", "employer_slug": "multiverse", "location_text": "Remote (UK), UK, London", "country": "GB", "employment_type": "unknown", "remote_status": "remote", "remote_status_source": null, "remote_status_enriched_at": null, "days_in_office": 0, "timezone_overlap_hours": 3, "salary_min": null, "salary_max": null, "salary_min_source": null, "salary_max_source": null, "salary_currency": "USD", "salary_type": "unknown", "salary_type_source": null, "salary_type_enriched_at": null, "salary_period": null, "base_salary_min": null, "base_salary_max": null, "salary_disclosed": false, "equity_included": true, "equity_included_source": null, "equity_type": [ "options" ], "k401_match": null, "match_401k_pct": null, "match_401k_pct_source": null, "k401_match_source_url": null, "k401_match_source_fields": [], "k401_contribution_source_url": null, "k401_contribution_source_fields": [], "profit_sharing": false, "bonus_offered": false, "mental_health_support": null, "childcare_subsidy": null, "fertility_family_building_benefits": null, "adoption_assistance_offered": null, "surrogacy_assistance_offered": null, "student_loan_repayment_offered": null, "learning_budget_offered": null, "relocation_assistance": null, "top_startup_sources": [ "cbinsights_unicorn" ], "posted_at": "2026-05-18T15:00:31.725Z", "apply_url": "https://jobs.ashbyhq.com/multiverse/17a97d3e-6037-43e4-8224-306b1a81324b", "apply_url_verified": false, "ats": "ashby", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "AI Coach Remote (UK), UK, London Multiverse is the upskilling platform for AI and Tech adoption. We have partnered with 1,500+ companies to deliver a new kind of learning that's transforming today's workforce. Our upskilling apprenticeships are designed for people of any age and career stage to build critical AI, data, and tech skills. Our learners have driven $2bn+ ROI for their employers, using the skills they've learned to improve productivity and measurable performance. In June 2022, we announced a $220 million Series D funding round co-led by StepStone Group, Lightspeed Venture Partners and General Catalyst. With a post-money valuation of $1.7bn, the round makes us the UK's first EdTech unicorn. But we aren't stopping there. With a strong operational footprint and 800+ employees, we have ambitious plans to continue scaling. We're building a world where tech skills unlock people's potential and output. Join Multiverse and power our mission to equip the workforce to win in the AI era. The Opportunity As an AI Cohort Coach you will be responsible for guiding the learning experience for apprentices and helping them reach their full potential. Your role will be focusing on personalised coaching, where you'll be supporting apprentices across multiple businesses to become the next generation of business leaders. Specifically, You Will - Guide apprentices to successful, timely completion of their programme. - Master group and individualised coaching techniques to enhance apprentice learning. - Adhere to coach quality frameworks to ensure a consistent level of quality for every coaching session and", "parental_leave_weeks": null, "non_birth_parent_leave_weeks": null, "parental_leave_weeks_source": null, "non_birth_parent_leave_weeks_source": null, "parental_leave_source_url": null, "pto_days": null, "unlimited_pto": false, "sabbatical_eligible": false, "family_friendly_score": 51, "benefit_verified": false, "benefit_last_verified": null, "hire_states_allowed": [], "state_eligibility_source": null, "state_eligibility_enriched_at": null, "llm_quality_pass_at": null, "seniority": "mid", "years_experience_min": 3, "years_experience_max": 7, "role_function": "operations", "employer_industry": null, "employer_size": "51-200", "quality_score": 45, "travel_pct": null, "requires_shift": null, "shift_type": "unknown", "shift_type_source": null, "weekend_work": "unknown", "weekend_work_source": null, "relocation_assistance_source": null, "contractor_w2": "unknown", "required_timezone": null, "fertility_family_building_benefits_source": null, "mental_health_support_source": null, "adoption_assistance_offered_source": null, "childcare_subsidy_source": null, "learning_budget_offered_source": null, "surrogacy_assistance_offered_source": null, "cover_letter_required": null, "cover_letter_required_source": null, "assessment_required": null, "assessment_required_source": null, "application_deadline": null, "application_deadline_source": null, "visa_sponsorship": false, "us_citizenship_required": false, "security_clearance": "none", "education_required": "masters", "roll_up_count": null, "roll_up_total_locations": null, "explanations": [ { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.description_excerpt.c4996e3fc4e05550fa", "query_id": "gq_d53b1e344183fcf53efb", "job_id": "165f1c9d8093fb5bb5ba085a2f5f90aa", "signal_type": "query_match", "display_text": "Description: \"multiverse\"", "tooltip": "Description matched \"multiverse\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "description_excerpt", "source_value": "AI Coach Remote (UK), UK, London Multiverse is the upskilling platform for AI and Tech adoption. We have partnered with 1,500+ companies to deliver a new kind of learning that's transforming today's workforce. Our upskilling apprenticeships are designed for people of any age and career stage to build critical AI, data, and tech skills. Our learners have driven $2bn+ ROI for their employers, using the skills they've learned to improve productivity and measurable performance. In June 2022, we announced a $220 million Series D funding round co-led by StepStone Group, Lightspeed Venture Partners and General Catalyst. With a post-money valuation of $1.7bn, the round makes us the UK's first EdTech unicorn. But we aren't stopping there. With a strong operational footprint and 800+ employees, we have ambitious plans to continue scaling. We're building a world where tech skills unlock people's potential and output. Join Multiverse and power our mission to equip the workforce to win in the AI era. The Opportunity As an AI Cohort Coach you will be responsible for guiding the learning experience for apprentices and helping them reach their full potential. Your role will be focusing on personalised coaching, where you'll be supporting apprentices across multiple businesses to become the next generation of business leaders. Specifically, You Will - Guide apprentices to successful, timely completion of their programme. - Master group and individualised coaching techniques to enhance apprentice learning. - Adhere to coach quality frameworks to ensure a consistent level of quality for every coaching session and", "matched_input": "multiverse", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_d53b1e344183fcf53efb:165f1c9d8093fb5bb5ba085a2f5f90aa:description:multiverse", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 90, "mobile_priority": 1, "ui": { "icon": "Search", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.employer_name.bec54ee05d9f6ee2de", "query_id": "gq_d53b1e344183fcf53efb", "job_id": "165f1c9d8093fb5bb5ba085a2f5f90aa", "signal_type": "query_match", "display_text": "Employer: \"multiverse\"", "tooltip": "Employer matched \"multiverse\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "employer_name", "source_value": "Multiverse", "matched_input": "multiverse", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_d53b1e344183fcf53efb:165f1c9d8093fb5bb5ba085a2f5f90aa:employer:multiverse", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 90, "mobile_priority": 1, "ui": { "icon": "Search", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.semantic.employer_name.f264578b4c646fa06c", "query_id": "gq_d53b1e344183fcf53efb", "job_id": "165f1c9d8093fb5bb5ba085a2f5f90aa", "signal_type": "query_match", "display_text": "Employer: semantic match", "tooltip": "Employer provided semantic evidence for your search intent.", "source_binding": "reranker_semantic_evidence", "source_field": "employer_name", "source_value": "Multiverse", "matched_input": "multiverse", "derivation_source": "rerank_result.semantic_evidence", "candidate_evidence_id": null, "rerank_evidence_id": "rerank:d0c7fd4758f226b931b590c4", "taxonomy_alias_id": null, "oracle_verification_method": "reranker_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": false, "priority": 86, "mobile_priority": 2, "ui": { "icon": "Sparkles", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.employer_name.b8ce037668cd162a8d", "query_id": "gq_d53b1e344183fcf53efb", "job_id": "165f1c9d8093fb5bb5ba085a2f5f90aa", "signal_type": "query_match", "display_text": "Employer: \"multiverse\"", "tooltip": "Employer contains \"multiverse\" from your search.", "source_binding": "token_match", "source_field": "employer_name", "source_value": "Multiverse", "matched_input": "multiverse", "derivation_source": "row_field", "candidate_evidence_id": null, "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "row_field_contains", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 80, "mobile_priority": 2, "ui": { "icon": "SearchCheck", "tone": "match", "href": null } } ] }, { "id": "75e899edc38e6275004eed98347d4fe7", "title": "Internal Communications Manager", "employer_name": "Multiverse", "employer_slug": "multiverse", "location_text": "London, England, UK", "country": "GB", "employment_type": "unknown", "remote_status": "unspecified", "remote_status_source": null, "remote_status_enriched_at": null, "days_in_office": null, "timezone_overlap_hours": 3, "salary_min": null, "salary_max": null, "salary_min_source": null, "salary_max_source": null, "salary_currency": "USD", "salary_type": "unknown", "salary_type_source": null, "salary_type_enriched_at": null, "salary_period": null, "base_salary_min": null, "base_salary_max": null, "salary_disclosed": false, "equity_included": true, "equity_included_source": null, "equity_type": [ "options" ], "k401_match": null, "match_401k_pct": null, "match_401k_pct_source": null, "k401_match_source_url": null, "k401_match_source_fields": [], "k401_contribution_source_url": null, "k401_contribution_source_fields": [], "profit_sharing": false, "bonus_offered": false, "mental_health_support": null, "childcare_subsidy": null, "fertility_family_building_benefits": null, "adoption_assistance_offered": null, "surrogacy_assistance_offered": null, "student_loan_repayment_offered": null, "learning_budget_offered": null, "relocation_assistance": null, "top_startup_sources": [ "cbinsights_unicorn" ], "posted_at": "2026-06-08T14:33:18.455Z", "apply_url": "https://jobs.ashbyhq.com/multiverse/46e691c0-3042-4118-8d2e-9a80f615f802", "apply_url_verified": false, "ats": "ashby", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Internal Communications Manager London, England, UK Multiverse is the upskilling platform for AI and Tech adoption. We have partnered with 1,500+ companies to deliver a new kind of learning that's transforming today's workforce. Our upskilling apprenticeships are designed for people of any age and career stage to build critical AI, data, and tech skills. Our learners have driven $2bn+ ROI for their employers, using the skills they've learned to improve productivity and measurable performance. In June 2022, we announced a $220 million Series D funding round co-led by StepStone Group, Lightspeed Venture Partners and General Catalyst. With a post-money valuation of $1.7bn, the round makes us the UK's first EdTech unicorn. But we aren't stopping there. With a strong operational footprint and 800+ employees, we have ambitious plans to continue scaling. We're building a world where tech skills unlock people's potential and output. Join Multiverse and power our mission to equip the workforce to win in the AI era. The Opportunity Internal communications at Multiverse isn't a downstream function. It's a strategic one. You'll own the story Multiverse tells itself - making sure every colleague understands who we are, why it matters, and where we're going. That means shaping All Hands, advising the exec team, translating data into narratives people can actually repeat, and building the rhythms that keep colleagues informed week to week - not just when something big happens. We operate in a fast-moving space with real external scrutiny. You'll need to be a strong instinctive writer, calm", "parental_leave_weeks": null, "non_birth_parent_leave_weeks": null, "parental_leave_weeks_source": null, "non_birth_parent_leave_weeks_source": null, "parental_leave_source_url": null, "pto_days": null, "unlimited_pto": false, "sabbatical_eligible": false, "family_friendly_score": 43, "benefit_verified": false, "benefit_last_verified": null, "hire_states_allowed": [], "state_eligibility_source": null, "state_eligibility_enriched_at": null, "llm_quality_pass_at": null, "seniority": "senior", "years_experience_min": 5, "years_experience_max": 9, "role_function": "marketing", "employer_industry": null, "employer_size": "51-200", "quality_score": 45, "travel_pct": null, "requires_shift": null, "shift_type": "unknown", "shift_type_source": null, "weekend_work": "unknown", "weekend_work_source": null, "relocation_assistance_source": null, "contractor_w2": "unknown", "required_timezone": null, "fertility_family_building_benefits_source": null, "mental_health_support_source": null, "adoption_assistance_offered_source": null, "childcare_subsidy_source": null, "learning_budget_offered_source": null, "surrogacy_assistance_offered_source": null, "cover_letter_required": null, "cover_letter_required_source": null, "assessment_required": null, "assessment_required_source": null, "application_deadline": null, "application_deadline_source": null, "visa_sponsorship": false, "us_citizenship_required": false, "security_clearance": "none", "education_required": "none", "roll_up_count": null, "roll_up_total_locations": null, "explanations": [ { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.description_excerpt.9a1869c4f672f42cf8", "query_id": "gq_d53b1e344183fcf53efb", "job_id": "75e899edc38e6275004eed98347d4fe7", "signal_type": "query_match", "display_text": "Description: \"multiverse\"", "tooltip": "Description matched \"multiverse\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "description_excerpt", "source_value": "Internal Communications Manager London, England, UK Multiverse is the upskilling platform for AI and Tech adoption. We have partnered with 1,500+ companies to deliver a new kind of learning that's transforming today's workforce. Our upskilling apprenticeships are designed for people of any age and career stage to build critical AI, data, and tech skills. Our learners have driven $2bn+ ROI for their employers, using the skills they've learned to improve productivity and measurable performance. In June 2022, we announced a $220 million Series D funding round co-led by StepStone Group, Lightspeed Venture Partners and General Catalyst. With a post-money valuation of $1.7bn, the round makes us the UK's first EdTech unicorn. But we aren't stopping there. With a strong operational footprint and 800+ employees, we have ambitious plans to continue scaling. We're building a world where tech skills unlock people's potential and output. Join Multiverse and power our mission to equip the workforce to win in the AI era. The Opportunity Internal communications at Multiverse isn't a downstream function. It's a strategic one. You'll own the story Multiverse tells itself - making sure every colleague understands who we are, why it matters, and where we're going. That means shaping All Hands, advising the exec team, translating data into narratives people can actually repeat, and building the rhythms that keep colleagues informed week to week - not just when something big happens. We operate in a fast-moving space with real external scrutiny. You'll need to be a strong instinctive writer, calm", "matched_input": "multiverse", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_d53b1e344183fcf53efb:75e899edc38e6275004eed98347d4fe7:description:multiverse", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 90, "mobile_priority": 1, "ui": { "icon": "Search", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.employer_name.10e2934607909badd2", "query_id": "gq_d53b1e344183fcf53efb", "job_id": "75e899edc38e6275004eed98347d4fe7", "signal_type": "query_match", "display_text": "Employer: \"multiverse\"", "tooltip": "Employer matched \"multiverse\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "employer_name", "source_value": "Multiverse", "matched_input": "multiverse", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_d53b1e344183fcf53efb:75e899edc38e6275004eed98347d4fe7:employer:multiverse", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 90, "mobile_priority": 1, "ui": { "icon": "Search", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.semantic.employer_name.e3fc5a1a49f38c5b3c", "query_id": "gq_d53b1e344183fcf53efb", "job_id": "75e899edc38e6275004eed98347d4fe7", "signal_type": "query_match", "display_text": "Employer: semantic match", "tooltip": "Employer provided semantic evidence for your search intent.", "source_binding": "reranker_semantic_evidence", "source_field": "employer_name", "source_value": "Multiverse", "matched_input": "multiverse", "derivation_source": "rerank_result.semantic_evidence", "candidate_evidence_id": null, "rerank_evidence_id": "rerank:5d8203716f99bdb64dfb1c4a", "taxonomy_alias_id": null, "oracle_verification_method": "reranker_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": false, "priority": 86, "mobile_priority": 2, "ui": { "icon": "Sparkles", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.employer_name.23dbc31da7b6d4169b", "query_id": "gq_d53b1e344183fcf53efb", "job_id": "75e899edc38e6275004eed98347d4fe7", "signal_type": "query_match", "display_text": "Employer: \"multiverse\"", "tooltip": "Employer contains \"multiverse\" from your search.", "source_binding": "token_match", "source_field": "employer_name", "source_value": "Multiverse", "matched_input": "multiverse", "derivation_source": "row_field", "candidate_evidence_id": null, "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "row_field_contains", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 80, "mobile_priority": 2, "ui": { "icon": "SearchCheck", "tone": "match", "href": null } } ] }, { "id": "4ac21f92428116f8610616079b8c6c00", "title": "Analytics Engineer", "employer_name": "Multiverse", "employer_slug": "multiverse", "location_text": "London, England, UK", "country": "GB", "employment_type": "unknown", "remote_status": "unspecified", "remote_status_source": null, "remote_status_enriched_at": null, "days_in_office": null, "timezone_overlap_hours": 3, "salary_min": null, "salary_max": null, "salary_min_source": null, "salary_max_source": null, "salary_currency": "USD", "salary_type": "unknown", "salary_type_source": null, "salary_type_enriched_at": null, "salary_period": null, "base_salary_min": null, "base_salary_max": null, "salary_disclosed": false, "equity_included": true, "equity_included_source": null, "equity_type": [ "options" ], "k401_match": null, "match_401k_pct": null, "match_401k_pct_source": null, "k401_match_source_url": null, "k401_match_source_fields": [], "k401_contribution_source_url": null, "k401_contribution_source_fields": [], "profit_sharing": false, "bonus_offered": false, "mental_health_support": null, "childcare_subsidy": null, "fertility_family_building_benefits": null, "adoption_assistance_offered": null, "surrogacy_assistance_offered": null, "student_loan_repayment_offered": null, "learning_budget_offered": null, "relocation_assistance": null, "top_startup_sources": [ "cbinsights_unicorn" ], "posted_at": "2026-05-12T09:26:08.044Z", "apply_url": "https://jobs.ashbyhq.com/multiverse/16c2d2f9-9837-4a33-8a27-6a700b463b89", "apply_url_verified": false, "ats": "ashby", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Analytics Engineer London, England, UK Multiverse is the upskilling platform for AI and Tech adoption. We have partnered with 1,500+ companies to deliver a new kind of learning that's transforming today's workforce. Our upskilling apprenticeships are designed for people of any age and career stage to build critical AI, data, and tech skills. Our learners have driven $2bn+ ROI for their employers, using the skills they've learned to improve productivity and measurable performance. In June 2022, we announced a $220 million Series D funding round co-led by StepStone Group, Lightspeed Venture Partners and General Catalyst. With a post-money valuation of $1.7bn, the round makes us the UK's first EdTech unicorn. But we aren't stopping there. With a strong operational footprint and 800+ employees, we have ambitious plans to continue scaling. We're building a world where tech skills unlock people's potential and output. Join Multiverse and power our mission to equip the workforce to win in the AI era. What we need We're looking for an Analytics Engineer to help build and maintain the data models that power analytics and data science across the business. You'll focus on developing robust and scalable dbt pipelines and contributing to the evolution of our data platform, ensuring that data is accessible, trusted, and well-structured. This role is hands-on and ideal for someone with a strong technical foundation who enjoys solving data problems, writing clean and efficient SQL, and collaborating with analysts, business stakeholders and product teams. This role sits within the Data & Insight", "parental_leave_weeks": null, "non_birth_parent_leave_weeks": null, "parental_leave_weeks_source": null, "non_birth_parent_leave_weeks_source": null, "parental_leave_source_url": null, "pto_days": null, "unlimited_pto": false, "sabbatical_eligible": false, "family_friendly_score": 43, "benefit_verified": false, "benefit_last_verified": null, "hire_states_allowed": [], "state_eligibility_source": null, "state_eligibility_enriched_at": null, "llm_quality_pass_at": null, "seniority": "mid", "years_experience_min": 3, "years_experience_max": 7, "role_function": "data", "employer_industry": null, "employer_size": "51-200", "quality_score": 45, "travel_pct": null, "requires_shift": null, "shift_type": "unknown", "shift_type_source": null, "weekend_work": "unknown", "weekend_work_source": null, "relocation_assistance_source": null, "contractor_w2": "unknown", "required_timezone": null, "fertility_family_building_benefits_source": null, "mental_health_support_source": null, "adoption_assistance_offered_source": null, "childcare_subsidy_source": null, "learning_budget_offered_source": null, "surrogacy_assistance_offered_source": null, "cover_letter_required": null, "cover_letter_required_source": null, "assessment_required": null, "assessment_required_source": null, "application_deadline": null, "application_deadline_source": null, "visa_sponsorship": false, "us_citizenship_required": false, "security_clearance": "none", "education_required": "none", "roll_up_count": null, "roll_up_total_locations": null, "explanations": [ { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.description_excerpt.52b207b8a88f7e0565", "query_id": "gq_d53b1e344183fcf53efb", "job_id": "4ac21f92428116f8610616079b8c6c00", "signal_type": "query_match", "display_text": "Description: \"multiverse\"", "tooltip": "Description matched \"multiverse\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "description_excerpt", "source_value": "Analytics Engineer London, England, UK Multiverse is the upskilling platform for AI and Tech adoption. We have partnered with 1,500+ companies to deliver a new kind of learning that's transforming today's workforce. Our upskilling apprenticeships are designed for people of any age and career stage to build critical AI, data, and tech skills. Our learners have driven $2bn+ ROI for their employers, using the skills they've learned to improve productivity and measurable performance. In June 2022, we announced a $220 million Series D funding round co-led by StepStone Group, Lightspeed Venture Partners and General Catalyst. With a post-money valuation of $1.7bn, the round makes us the UK's first EdTech unicorn. But we aren't stopping there. With a strong operational footprint and 800+ employees, we have ambitious plans to continue scaling. We're building a world where tech skills unlock people's potential and output. Join Multiverse and power our mission to equip the workforce to win in the AI era. What we need We're looking for an Analytics Engineer to help build and maintain the data models that power analytics and data science across the business. You'll focus on developing robust and scalable dbt pipelines and contributing to the evolution of our data platform, ensuring that data is accessible, trusted, and well-structured. This role is hands-on and ideal for someone with a strong technical foundation who enjoys solving data problems, writing clean and efficient SQL, and collaborating with analysts, business stakeholders and product teams. This role sits within the Data & Insight", "matched_input": "multiverse", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_d53b1e344183fcf53efb:4ac21f92428116f8610616079b8c6c00:description:multiverse", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 90, "mobile_priority": 1, "ui": { "icon": "Search", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.employer_name.57adec25ae6efece11", "query_id": "gq_d53b1e344183fcf53efb", "job_id": "4ac21f92428116f8610616079b8c6c00", "signal_type": "query_match", "display_text": "Employer: \"multiverse\"", "tooltip": "Employer matched \"multiverse\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "employer_name", "source_value": "Multiverse", "matched_input": "multiverse", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_d53b1e344183fcf53efb:4ac21f92428116f8610616079b8c6c00:employer:multiverse", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 90, "mobile_priority": 1, "ui": { "icon": "Search", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.semantic.employer_name.21b337c5d2ff32f924", "query_id": "gq_d53b1e344183fcf53efb", "job_id": "4ac21f92428116f8610616079b8c6c00", "signal_type": "query_match", "display_text": "Employer: semantic match", "tooltip": "Employer provided semantic evidence for your search intent.", "source_binding": "reranker_semantic_evidence", "source_field": "employer_name", "source_value": "Multiverse", "matched_input": "multiverse", "derivation_source": "rerank_result.semantic_evidence", "candidate_evidence_id": null, "rerank_evidence_id": "rerank:e92dedb0689bbdd2d55bb6a5", "taxonomy_alias_id": null, "oracle_verification_method": "reranker_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": false, "priority": 86, "mobile_priority": 2, "ui": { "icon": "Sparkles", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.employer_name.20250f17df236b3b28", "query_id": "gq_d53b1e344183fcf53efb", "job_id": "4ac21f92428116f8610616079b8c6c00", "signal_type": "query_match", "display_text": "Employer: \"multiverse\"", "tooltip": "Employer contains \"multiverse\" from your search.", "source_binding": "token_match", "source_field": "employer_name", "source_value": "Multiverse", "matched_input": "multiverse", "derivation_source": "row_field", "candidate_evidence_id": null, "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "row_field_contains", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 80, "mobile_priority": 2, "ui": { "icon": "SearchCheck", "tone": "match", "href": null } } ] }, { "id": "4027485cc3d83717d8ed2ac0cd6141b8", "title": "Analytics Developer", "employer_name": "Multiverse", "employer_slug": "multiverse", "location_text": "London, England, UK", "country": "GB", "employment_type": "unknown", "remote_status": "unspecified", "remote_status_source": null, "remote_status_enriched_at": null, "days_in_office": null, "timezone_overlap_hours": 3, "salary_min": null, "salary_max": null, "salary_min_source": null, "salary_max_source": null, "salary_currency": "USD", "salary_type": "unknown", "salary_type_source": null, "salary_type_enriched_at": null, "salary_period": null, "base_salary_min": null, "base_salary_max": null, "salary_disclosed": false, "equity_included": true, "equity_included_source": null, "equity_type": [ "options" ], "k401_match": null, "match_401k_pct": null, "match_401k_pct_source": null, "k401_match_source_url": null, "k401_match_source_fields": [], "k401_contribution_source_url": null, "k401_contribution_source_fields": [], "profit_sharing": false, "bonus_offered": false, "mental_health_support": null, "childcare_subsidy": null, "fertility_family_building_benefits": null, "adoption_assistance_offered": null, "surrogacy_assistance_offered": null, "student_loan_repayment_offered": null, "learning_budget_offered": null, "relocation_assistance": null, "top_startup_sources": [ "cbinsights_unicorn" ], "posted_at": "2026-06-02T07:57:25.264Z", "apply_url": "https://jobs.ashbyhq.com/multiverse/8adb787a-cc6e-4597-bf54-473453204fb0", "apply_url_verified": false, "ats": "ashby", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Analytics Developer London, England, UK Multiverse is the upskilling platform for AI and Tech adoption. We have partnered with 1,500+ companies to deliver a new kind of learning that's transforming today's workforce. Our upskilling apprenticeships are designed for people of any age and career stage to build critical AI, data, and tech skills. Our learners have driven $2bn+ ROI for their employers, using the skills they've learned to improve productivity and measurable performance. In June 2022, we announced a $220 million Series D funding round co-led by StepStone Group, Lightspeed Venture Partners and General Catalyst. With a post-money valuation of $1.7bn, the round makes us the UK's first EdTech unicorn. But we aren't stopping there. With a strong operational footprint and 800+ employees, we have ambitious plans to continue scaling. We're building a world where tech skills unlock people's potential and output. Join Multiverse and power our mission to equip the workforce to win in the AI era. What we need As an Analytics Developer, you will design, build and manage analytics products that serve teams across the business - shaping how commercial, operations and learner outcomes decisions get made. We expect you to work with significant autonomy, owning product roadmaps end-to-end and serving as the go-to resource for your teammates on both tooling and domain questions. The role sits within the Data & Insight team, reporting to the Director of Data Products. You will be collaborative and user-centric, with a bias for action and a high bar for quality.", "parental_leave_weeks": null, "non_birth_parent_leave_weeks": null, "parental_leave_weeks_source": null, "non_birth_parent_leave_weeks_source": null, "parental_leave_source_url": null, "pto_days": null, "unlimited_pto": false, "sabbatical_eligible": false, "family_friendly_score": 43, "benefit_verified": false, "benefit_last_verified": null, "hire_states_allowed": [], "state_eligibility_source": null, "state_eligibility_enriched_at": null, "llm_quality_pass_at": null, "seniority": "mid", "years_experience_min": 3, "years_experience_max": 7, "role_function": "data", "employer_industry": null, "employer_size": "51-200", "quality_score": 45, "travel_pct": null, "requires_shift": null, "shift_type": "unknown", "shift_type_source": null, "weekend_work": "unknown", "weekend_work_source": null, "relocation_assistance_source": null, "contractor_w2": "unknown", "required_timezone": null, "fertility_family_building_benefits_source": null, "mental_health_support_source": null, "adoption_assistance_offered_source": null, "childcare_subsidy_source": null, "learning_budget_offered_source": null, "surrogacy_assistance_offered_source": null, "cover_letter_required": null, "cover_letter_required_source": null, "assessment_required": null, "assessment_required_source": null, "application_deadline": null, "application_deadline_source": null, "visa_sponsorship": false, "us_citizenship_required": false, "security_clearance": "none", "education_required": "none", "roll_up_count": null, "roll_up_total_locations": null, "explanations": [ { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.description_excerpt.206ed4a791fa84cfb3", "query_id": "gq_d53b1e344183fcf53efb", "job_id": "4027485cc3d83717d8ed2ac0cd6141b8", "signal_type": "query_match", "display_text": "Description: \"multiverse\"", "tooltip": "Description matched \"multiverse\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "description_excerpt", "source_value": "Analytics Developer London, England, UK Multiverse is the upskilling platform for AI and Tech adoption. We have partnered with 1,500+ companies to deliver a new kind of learning that's transforming today's workforce. Our upskilling apprenticeships are designed for people of any age and career stage to build critical AI, data, and tech skills. Our learners have driven $2bn+ ROI for their employers, using the skills they've learned to improve productivity and measurable performance. In June 2022, we announced a $220 million Series D funding round co-led by StepStone Group, Lightspeed Venture Partners and General Catalyst. With a post-money valuation of $1.7bn, the round makes us the UK's first EdTech unicorn. But we aren't stopping there. With a strong operational footprint and 800+ employees, we have ambitious plans to continue scaling. We're building a world where tech skills unlock people's potential and output. Join Multiverse and power our mission to equip the workforce to win in the AI era. What we need As an Analytics Developer, you will design, build and manage analytics products that serve teams across the business - shaping how commercial, operations and learner outcomes decisions get made. We expect you to work with significant autonomy, owning product roadmaps end-to-end and serving as the go-to resource for your teammates on both tooling and domain questions. The role sits within the Data & Insight team, reporting to the Director of Data Products. You will be collaborative and user-centric, with a bias for action and a high bar for quality.", "matched_input": "multiverse", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_d53b1e344183fcf53efb:4027485cc3d83717d8ed2ac0cd6141b8:description:multiverse", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 90, "mobile_priority": 1, "ui": { "icon": "Search", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.employer_name.b20b7e3cdd94ad95bf", "query_id": "gq_d53b1e344183fcf53efb", "job_id": "4027485cc3d83717d8ed2ac0cd6141b8", "signal_type": "query_match", "display_text": "Employer: \"multiverse\"", "tooltip": "Employer matched \"multiverse\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "employer_name", "source_value": "Multiverse", "matched_input": "multiverse", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_d53b1e344183fcf53efb:4027485cc3d83717d8ed2ac0cd6141b8:employer:multiverse", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 90, "mobile_priority": 1, "ui": { "icon": "Search", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.semantic.employer_name.038d0164ca6bf34d7c", "query_id": "gq_d53b1e344183fcf53efb", "job_id": "4027485cc3d83717d8ed2ac0cd6141b8", "signal_type": "query_match", "display_text": "Employer: semantic match", "tooltip": "Employer provided semantic evidence for your search intent.", "source_binding": "reranker_semantic_evidence", "source_field": "employer_name", "source_value": "Multiverse", "matched_input": "multiverse", "derivation_source": "rerank_result.semantic_evidence", "candidate_evidence_id": null, "rerank_evidence_id": "rerank:b2aef557f6df7f3e17b16050", "taxonomy_alias_id": null, "oracle_verification_method": "reranker_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": false, "priority": 86, "mobile_priority": 2, "ui": { "icon": "Sparkles", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.employer_name.277c0d55534d3a92f6", "query_id": "gq_d53b1e344183fcf53efb", "job_id": "4027485cc3d83717d8ed2ac0cd6141b8", "signal_type": "query_match", "display_text": "Employer: \"multiverse\"", "tooltip": "Employer contains \"multiverse\" from your search.", "source_binding": "token_match", "source_field": "employer_name", "source_value": "Multiverse", "matched_input": "multiverse", "derivation_source": "row_field", "candidate_evidence_id": null, "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "row_field_contains", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 80, "mobile_priority": 2, "ui": { "icon": "SearchCheck", "tone": "match", "href": null } } ] }, { "id": "5cb6900bf5ca52f92811200d7d1f0aff", "title": "Senior Software Engineer", "employer_name": "Multiverse", "employer_slug": "multiverse", "location_text": "London, England, UK", "country": "GB", "employment_type": "unknown", "remote_status": "unspecified", "remote_status_source": null, "remote_status_enriched_at": null, "days_in_office": null, "timezone_overlap_hours": 3, "salary_min": null, "salary_max": null, "salary_min_source": null, "salary_max_source": null, "salary_currency": "USD", "salary_type": "unknown", "salary_type_source": null, "salary_type_enriched_at": null, "salary_period": null, "base_salary_min": null, "base_salary_max": null, "salary_disclosed": false, "equity_included": true, "equity_included_source": null, "equity_type": [ "options" ], "k401_match": null, "match_401k_pct": null, "match_401k_pct_source": null, "k401_match_source_url": null, "k401_match_source_fields": [], "k401_contribution_source_url": null, "k401_contribution_source_fields": [], "profit_sharing": false, "bonus_offered": false, "mental_health_support": null, "childcare_subsidy": null, "fertility_family_building_benefits": null, "adoption_assistance_offered": null, "surrogacy_assistance_offered": null, "student_loan_repayment_offered": null, "learning_budget_offered": null, "relocation_assistance": null, "top_startup_sources": [ "cbinsights_unicorn" ], "posted_at": "2026-06-02T10:03:33.943Z", "apply_url": "https://jobs.ashbyhq.com/multiverse/8597cd50-2fd7-417d-bf94-abdd2e8bc2e3", "apply_url_verified": false, "ats": "ashby", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Senior Software Engineer London, England, UK Multiverse is the upskilling platform for AI and Tech adoption. We have partnered with 1,500+ companies to deliver a new kind of learning that's transforming today's workforce. Our upskilling apprenticeships are designed for people of any age and career stage to build critical AI, data, and tech skills. Our learners have driven $2bn+ ROI for their employers, using the skills they've learned to improve productivity and measurable performance. In June 2022, we announced a $220 million Series D funding round co-led by StepStone Group, Lightspeed Venture Partners and General Catalyst. With a post-money valuation of $1.7bn, the round makes us the UK's first EdTech unicorn. But we aren't stopping there. With a strong operational footprint and 800+ employees, we have ambitious plans to continue scaling. We're building a world where tech skills unlock people's potential and output. Join Multiverse and power our mission to equip the workforce to win in the AI era. What you'll be building We're looking for a Senior Software Engineer to join our Trusted Enterprise Platform team - the group that keeps Multiverse secure, scalable, and architecturally sound as we grow. You'll build and maintain the foundational services every product team depends on: authentication, single sign-on, safe release tooling, notification delivery, and the systems that turn regulatory obligations like GDPR into working, reliable code. Your work won't always be visible to end users, but it's what lets our engineers ship with confidence and our customers trust us with their data.", "parental_leave_weeks": null, "non_birth_parent_leave_weeks": null, "parental_leave_weeks_source": null, "non_birth_parent_leave_weeks_source": null, "parental_leave_source_url": null, "pto_days": null, "unlimited_pto": false, "sabbatical_eligible": false, "family_friendly_score": 43, "benefit_verified": false, "benefit_last_verified": null, "hire_states_allowed": [], "state_eligibility_source": null, "state_eligibility_enriched_at": null, "llm_quality_pass_at": null, "seniority": "senior", "years_experience_min": 5, "years_experience_max": 9, "role_function": "data", "employer_industry": null, "employer_size": "51-200", "quality_score": 45, "travel_pct": null, "requires_shift": null, "shift_type": "unknown", "shift_type_source": null, "weekend_work": "unknown", "weekend_work_source": null, "relocation_assistance_source": null, "contractor_w2": "unknown", "required_timezone": null, "fertility_family_building_benefits_source": null, "mental_health_support_source": null, "adoption_assistance_offered_source": null, "childcare_subsidy_source": null, "learning_budget_offered_source": null, "surrogacy_assistance_offered_source": null, "cover_letter_required": null, "cover_letter_required_source": null, "assessment_required": null, "assessment_required_source": null, "application_deadline": null, "application_deadline_source": null, "visa_sponsorship": false, "us_citizenship_required": false, "security_clearance": "none", "education_required": "none", "roll_up_count": null, "roll_up_total_locations": null, "explanations": [ { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.description_excerpt.0750ee57f8ee69cf40", "query_id": "gq_d53b1e344183fcf53efb", "job_id": "5cb6900bf5ca52f92811200d7d1f0aff", "signal_type": "query_match", "display_text": "Description: \"multiverse\"", "tooltip": "Description matched \"multiverse\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "description_excerpt", "source_value": "Senior Software Engineer London, England, UK Multiverse is the upskilling platform for AI and Tech adoption. We have partnered with 1,500+ companies to deliver a new kind of learning that's transforming today's workforce. Our upskilling apprenticeships are designed for people of any age and career stage to build critical AI, data, and tech skills. Our learners have driven $2bn+ ROI for their employers, using the skills they've learned to improve productivity and measurable performance. In June 2022, we announced a $220 million Series D funding round co-led by StepStone Group, Lightspeed Venture Partners and General Catalyst. With a post-money valuation of $1.7bn, the round makes us the UK's first EdTech unicorn. But we aren't stopping there. With a strong operational footprint and 800+ employees, we have ambitious plans to continue scaling. We're building a world where tech skills unlock people's potential and output. Join Multiverse and power our mission to equip the workforce to win in the AI era. What you'll be building We're looking for a Senior Software Engineer to join our Trusted Enterprise Platform team - the group that keeps Multiverse secure, scalable, and architecturally sound as we grow. You'll build and maintain the foundational services every product team depends on: authentication, single sign-on, safe release tooling, notification delivery, and the systems that turn regulatory obligations like GDPR into working, reliable code. Your work won't always be visible to end users, but it's what lets our engineers ship with confidence and our customers trust us with their data.", "matched_input": "multiverse", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_d53b1e344183fcf53efb:5cb6900bf5ca52f92811200d7d1f0aff:description:multiverse", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 90, "mobile_priority": 1, "ui": { "icon": "Search", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.employer_name.a7fae49e1f43a9a840", "query_id": "gq_d53b1e344183fcf53efb", "job_id": "5cb6900bf5ca52f92811200d7d1f0aff", "signal_type": "query_match", "display_text": "Employer: \"multiverse\"", "tooltip": "Employer matched \"multiverse\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "employer_name", "source_value": "Multiverse", "matched_input": "multiverse", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_d53b1e344183fcf53efb:5cb6900bf5ca52f92811200d7d1f0aff:employer:multiverse", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 90, "mobile_priority": 1, "ui": { "icon": "Search", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.semantic.employer_name.d96400c1fd5f9cd6af", "query_id": "gq_d53b1e344183fcf53efb", "job_id": "5cb6900bf5ca52f92811200d7d1f0aff", "signal_type": "query_match", "display_text": "Employer: semantic match", "tooltip": "Employer provided semantic evidence for your search intent.", "source_binding": "reranker_semantic_evidence", "source_field": "employer_name", "source_value": "Multiverse", "matched_input": "multiverse", "derivation_source": "rerank_result.semantic_evidence", "candidate_evidence_id": null, "rerank_evidence_id": "rerank:0393ea65cb50df3c5e270a1c", "taxonomy_alias_id": null, "oracle_verification_method": "reranker_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": false, "priority": 86, "mobile_priority": 2, "ui": { "icon": "Sparkles", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.employer_name.ac9b2dd877b2b9ec11", "query_id": "gq_d53b1e344183fcf53efb", "job_id": "5cb6900bf5ca52f92811200d7d1f0aff", "signal_type": "query_match", "display_text": "Employer: \"multiverse\"", "tooltip": "Employer contains \"multiverse\" from your search.", "source_binding": "token_match", "source_field": "employer_name", "source_value": "Multiverse", "matched_input": "multiverse", "derivation_source": "row_field", "candidate_evidence_id": null, "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "row_field_contains", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 80, "mobile_priority": 2, "ui": { "icon": "SearchCheck", "tone": "match", "href": null } } ] }, { "id": "4efe5d425001cac6c88dad9f54fe3a8e", "title": "Senior Legal Counsel", "employer_name": "Multiverse", "employer_slug": "multiverse", "location_text": "London, England, UK", "country": "GB", "employment_type": "contract", "remote_status": "unspecified", "remote_status_source": null, "remote_status_enriched_at": null, "days_in_office": null, "timezone_overlap_hours": 3, "salary_min": null, "salary_max": null, "salary_min_source": null, "salary_max_source": null, "salary_currency": "USD", "salary_type": "unknown", "salary_type_source": null, "salary_type_enriched_at": null, "salary_period": null, "base_salary_min": null, "base_salary_max": null, "salary_disclosed": false, "equity_included": true, "equity_included_source": null, "equity_type": [ "options" ], "k401_match": null, "match_401k_pct": null, "match_401k_pct_source": null, "k401_match_source_url": null, "k401_match_source_fields": [], "k401_contribution_source_url": null, "k401_contribution_source_fields": [], "profit_sharing": false, "bonus_offered": false, "mental_health_support": null, "childcare_subsidy": null, "fertility_family_building_benefits": null, "adoption_assistance_offered": null, "surrogacy_assistance_offered": null, "student_loan_repayment_offered": null, "learning_budget_offered": null, "relocation_assistance": null, "top_startup_sources": [ "cbinsights_unicorn" ], "posted_at": "2026-04-17T10:55:32.882Z", "apply_url": "https://jobs.ashbyhq.com/multiverse/0f4df3d2-a1c1-4360-a57d-41daf643ef69", "apply_url_verified": false, "ats": "ashby", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Senior Legal Counsel London, England, UK Multiverse is the upskilling platform for AI and Tech adoption. We have partnered with 1,500+ companies to deliver a new kind of learning that's transforming today's workforce. Our upskilling apprenticeships are designed for people of any age and career stage to build critical AI, data, and tech skills. Our learners have driven $2bn+ ROI for their employers, using the skills they've learned to improve productivity and measurable performance. In June 2022, we announced a $220 million Series D funding round co-led by StepStone Group, Lightspeed Venture Partners and General Catalyst. With a post-money valuation of $1.7bn, the round makes us the UK's first EdTech unicorn. But we aren't stopping there. With a strong operational footprint and 800+ employees, we have ambitious plans to continue scaling. We're building a world where tech skills unlock people's potential and output. Join Multiverse and power our mission to equip the workforce to win in the AI era. International Legal Counsel (UK & Germany) The Role This is a newly created position within Multiverse's Legal team, reporting directly to the General Counsel. As we expand our international footprint, this role is vital in establishing our in-house legal capability across both the UK and German markets. You will serve as the primary legal partner for our German operations-including StackFuel GmbH and future acquisitions-while providing commercial legal support to the UK business. We are looking for a collaborative professional who enjoys working across cultures and is excited to contribute to a", "parental_leave_weeks": null, "non_birth_parent_leave_weeks": null, "parental_leave_weeks_source": null, "non_birth_parent_leave_weeks_source": null, "parental_leave_source_url": null, "pto_days": null, "unlimited_pto": false, "sabbatical_eligible": false, "family_friendly_score": 43, "benefit_verified": false, "benefit_last_verified": null, "hire_states_allowed": [], "state_eligibility_source": null, "state_eligibility_enriched_at": null, "llm_quality_pass_at": null, "seniority": "senior", "years_experience_min": 5, "years_experience_max": 9, "role_function": "legal", "employer_industry": null, "employer_size": "51-200", "quality_score": 45, "travel_pct": null, "requires_shift": null, "shift_type": "unknown", "shift_type_source": null, "weekend_work": "unknown", "weekend_work_source": null, "relocation_assistance_source": null, "contractor_w2": "unknown", "required_timezone": null, "fertility_family_building_benefits_source": null, "mental_health_support_source": null, "adoption_assistance_offered_source": null, "childcare_subsidy_source": null, "learning_budget_offered_source": null, "surrogacy_assistance_offered_source": null, "cover_letter_required": null, "cover_letter_required_source": null, "assessment_required": null, "assessment_required_source": null, "application_deadline": null, "application_deadline_source": null, "visa_sponsorship": false, "us_citizenship_required": false, "security_clearance": "none", "education_required": "none", "roll_up_count": null, "roll_up_total_locations": null, "explanations": [ { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.description_excerpt.bc31a9f53835399531", "query_id": "gq_d53b1e344183fcf53efb", "job_id": "4efe5d425001cac6c88dad9f54fe3a8e", "signal_type": "query_match", "display_text": "Description: \"multiverse\"", "tooltip": "Description matched \"multiverse\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "description_excerpt", "source_value": "Senior Legal Counsel London, England, UK Multiverse is the upskilling platform for AI and Tech adoption. We have partnered with 1,500+ companies to deliver a new kind of learning that's transforming today's workforce. Our upskilling apprenticeships are designed for people of any age and career stage to build critical AI, data, and tech skills. Our learners have driven $2bn+ ROI for their employers, using the skills they've learned to improve productivity and measurable performance. In June 2022, we announced a $220 million Series D funding round co-led by StepStone Group, Lightspeed Venture Partners and General Catalyst. With a post-money valuation of $1.7bn, the round makes us the UK's first EdTech unicorn. But we aren't stopping there. With a strong operational footprint and 800+ employees, we have ambitious plans to continue scaling. We're building a world where tech skills unlock people's potential and output. Join Multiverse and power our mission to equip the workforce to win in the AI era. International Legal Counsel (UK & Germany) The Role This is a newly created position within Multiverse's Legal team, reporting directly to the General Counsel. As we expand our international footprint, this role is vital in establishing our in-house legal capability across both the UK and German markets. You will serve as the primary legal partner for our German operations-including StackFuel GmbH and future acquisitions-while providing commercial legal support to the UK business. We are looking for a collaborative professional who enjoys working across cultures and is excited to contribute to a", "matched_input": "multiverse", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_d53b1e344183fcf53efb:4efe5d425001cac6c88dad9f54fe3a8e:description:multiverse", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 90, "mobile_priority": 1, "ui": { "icon": "Search", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.employer_name.db699d933e364c318c", "query_id": "gq_d53b1e344183fcf53efb", "job_id": "4efe5d425001cac6c88dad9f54fe3a8e", "signal_type": "query_match", "display_text": "Employer: \"multiverse\"", "tooltip": "Employer matched \"multiverse\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "employer_name", "source_value": "Multiverse", "matched_input": "multiverse", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_d53b1e344183fcf53efb:4efe5d425001cac6c88dad9f54fe3a8e:employer:multiverse", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 90, "mobile_priority": 1, "ui": { "icon": "Search", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.semantic.employer_name.8782a58a6f30ca8ac3", "query_id": "gq_d53b1e344183fcf53efb", "job_id": "4efe5d425001cac6c88dad9f54fe3a8e", "signal_type": "query_match", "display_text": "Employer: semantic match", "tooltip": "Employer provided semantic evidence for your search intent.", "source_binding": "reranker_semantic_evidence", "source_field": "employer_name", "source_value": "Multiverse", "matched_input": "multiverse", "derivation_source": "rerank_result.semantic_evidence", "candidate_evidence_id": null, "rerank_evidence_id": "rerank:b9d55bf84e4fa1b28ccf78d7", "taxonomy_alias_id": null, "oracle_verification_method": "reranker_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": false, "priority": 86, "mobile_priority": 2, "ui": { "icon": "Sparkles", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.employer_name.c56d171dfc76995937", "query_id": "gq_d53b1e344183fcf53efb", "job_id": "4efe5d425001cac6c88dad9f54fe3a8e", "signal_type": "query_match", "display_text": "Employer: \"multiverse\"", "tooltip": "Employer contains \"multiverse\" from your search.", "source_binding": "token_match", "source_field": "employer_name", "source_value": "Multiverse", "matched_input": "multiverse", "derivation_source": "row_field", "candidate_evidence_id": null, "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "row_field_contains", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 80, "mobile_priority": 2, "ui": { "icon": "SearchCheck", "tone": "match", "href": null } } ] }, { "id": "b199df04eb1c93c5e443a76f8a05d59a", "title": "IT Implementation Specialist", "employer_name": "Multiverse", "employer_slug": "multiverse", "location_text": "London, England, UK", "country": "GB", "employment_type": "unknown", "remote_status": "unspecified", "remote_status_source": null, "remote_status_enriched_at": null, "days_in_office": null, "timezone_overlap_hours": 3, "salary_min": null, "salary_max": null, "salary_min_source": null, "salary_max_source": null, "salary_currency": "USD", "salary_type": "unknown", "salary_type_source": null, "salary_type_enriched_at": null, "salary_period": null, "base_salary_min": null, "base_salary_max": null, "salary_disclosed": false, "equity_included": true, "equity_included_source": null, "equity_type": [ "options" ], "k401_match": null, "match_401k_pct": null, "match_401k_pct_source": null, "k401_match_source_url": null, "k401_match_source_fields": [], "k401_contribution_source_url": null, "k401_contribution_source_fields": [], "profit_sharing": false, "bonus_offered": true, "mental_health_support": null, "childcare_subsidy": null, "fertility_family_building_benefits": null, "adoption_assistance_offered": null, "surrogacy_assistance_offered": null, "student_loan_repayment_offered": null, "learning_budget_offered": null, "relocation_assistance": null, "top_startup_sources": [ "cbinsights_unicorn" ], "posted_at": "2026-06-05T07:45:48.362Z", "apply_url": "https://jobs.ashbyhq.com/multiverse/ce3af672-5b06-45c6-8902-248be4fb37cf", "apply_url_verified": false, "ats": "ashby", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "IT Implementation Specialist London, England, UK Multiverse is the upskilling platform for AI and Tech adoption. We have partnered with 1,500+ companies to deliver a new kind of learning that's transforming today's workforce. Our upskilling apprenticeships are designed for people of any age and career stage to build critical AI, data, and tech skills. Our learners have driven $2bn+ ROI for their employers, using the skills they've learned to improve productivity and measurable performance. In June 2022, we announced a $220 million Series D funding round co-led by StepStone Group, Lightspeed Venture Partners and General Catalyst. With a post-money valuation of $1.7bn, the round makes us the UK's first EdTech unicorn. But we aren't stopping there. With a strong operational footprint and 800+ employees, we have ambitious plans to continue scaling. We're building a world where tech skills unlock people's potential and output. Join Multiverse and power our mission to equip the workforce to win in the AI era. The Opportunity We're looking for an IT Implementation Lead to take ownership of the technical programmes that keep our Enterprise Technology function moving - and to be the steady hand that turns complex, cross-functional work into delivered outcomes. This is a delivery and stakeholder role, not a break-fix one. You'll own major programmes end-to-end - coordinating the technical specialists, keeping leadership informed, and making sure compliance and audit readiness are built in from day one. You won't need to write the automation yourself, but you'll be technical enough to challenge it,", "parental_leave_weeks": null, "non_birth_parent_leave_weeks": null, "parental_leave_weeks_source": null, "non_birth_parent_leave_weeks_source": null, "parental_leave_source_url": null, "pto_days": null, "unlimited_pto": false, "sabbatical_eligible": false, "family_friendly_score": 43, "benefit_verified": false, "benefit_last_verified": null, "hire_states_allowed": [], "state_eligibility_source": null, "state_eligibility_enriched_at": null, "llm_quality_pass_at": null, "seniority": "mid", "years_experience_min": 3, "years_experience_max": 7, "role_function": "customer_success", "employer_industry": null, "employer_size": "51-200", "quality_score": 45, "travel_pct": null, "requires_shift": null, "shift_type": "unknown", "shift_type_source": null, "weekend_work": "unknown", "weekend_work_source": null, "relocation_assistance_source": null, "contractor_w2": "unknown", "required_timezone": null, "fertility_family_building_benefits_source": null, "mental_health_support_source": null, "adoption_assistance_offered_source": null, "childcare_subsidy_source": null, "learning_budget_offered_source": null, "surrogacy_assistance_offered_source": null, "cover_letter_required": null, "cover_letter_required_source": null, "assessment_required": null, "assessment_required_source": null, "application_deadline": null, "application_deadline_source": null, "visa_sponsorship": false, "us_citizenship_required": false, "security_clearance": "none", "education_required": "none", "roll_up_count": null, "roll_up_total_locations": null, "explanations": [ { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.description_excerpt.e2d0ccff7d7124b3b5", "query_id": "gq_d53b1e344183fcf53efb", "job_id": "b199df04eb1c93c5e443a76f8a05d59a", "signal_type": "query_match", "display_text": "Description: \"multiverse\"", "tooltip": "Description matched \"multiverse\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "description_excerpt", "source_value": "IT Implementation Specialist London, England, UK Multiverse is the upskilling platform for AI and Tech adoption. We have partnered with 1,500+ companies to deliver a new kind of learning that's transforming today's workforce. Our upskilling apprenticeships are designed for people of any age and career stage to build critical AI, data, and tech skills. Our learners have driven $2bn+ ROI for their employers, using the skills they've learned to improve productivity and measurable performance. In June 2022, we announced a $220 million Series D funding round co-led by StepStone Group, Lightspeed Venture Partners and General Catalyst. With a post-money valuation of $1.7bn, the round makes us the UK's first EdTech unicorn. But we aren't stopping there. With a strong operational footprint and 800+ employees, we have ambitious plans to continue scaling. We're building a world where tech skills unlock people's potential and output. Join Multiverse and power our mission to equip the workforce to win in the AI era. The Opportunity We're looking for an IT Implementation Lead to take ownership of the technical programmes that keep our Enterprise Technology function moving - and to be the steady hand that turns complex, cross-functional work into delivered outcomes. This is a delivery and stakeholder role, not a break-fix one. You'll own major programmes end-to-end - coordinating the technical specialists, keeping leadership informed, and making sure compliance and audit readiness are built in from day one. You won't need to write the automation yourself, but you'll be technical enough to challenge it,", "matched_input": "multiverse", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_d53b1e344183fcf53efb:b199df04eb1c93c5e443a76f8a05d59a:description:multiverse", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 90, "mobile_priority": 1, "ui": { "icon": "Search", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.employer_name.eb357da7cdecd9c015", "query_id": "gq_d53b1e344183fcf53efb", "job_id": "b199df04eb1c93c5e443a76f8a05d59a", "signal_type": "query_match", "display_text": "Employer: \"multiverse\"", "tooltip": "Employer matched \"multiverse\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "employer_name", "source_value": "Multiverse", "matched_input": "multiverse", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_d53b1e344183fcf53efb:b199df04eb1c93c5e443a76f8a05d59a:employer:multiverse", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 90, "mobile_priority": 1, "ui": { "icon": "Search", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.semantic.employer_name.6685105543029626fb", "query_id": "gq_d53b1e344183fcf53efb", "job_id": "b199df04eb1c93c5e443a76f8a05d59a", "signal_type": "query_match", "display_text": "Employer: semantic match", "tooltip": "Employer provided semantic evidence for your search intent.", "source_binding": "reranker_semantic_evidence", "source_field": "employer_name", "source_value": "Multiverse", "matched_input": "multiverse", "derivation_source": "rerank_result.semantic_evidence", "candidate_evidence_id": null, "rerank_evidence_id": "rerank:fc6328d4a105956108fbfbc9", "taxonomy_alias_id": null, "oracle_verification_method": "reranker_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": false, "priority": 86, "mobile_priority": 2, "ui": { "icon": "Sparkles", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.employer_name.f80f1319d3ecc66d67", "query_id": "gq_d53b1e344183fcf53efb", "job_id": "b199df04eb1c93c5e443a76f8a05d59a", "signal_type": "query_match", "display_text": "Employer: \"multiverse\"", "tooltip": "Employer contains \"multiverse\" from your search.", "source_binding": "token_match", "source_field": "employer_name", "source_value": "Multiverse", "matched_input": "multiverse", "derivation_source": "row_field", "candidate_evidence_id": null, "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "row_field_contains", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 80, "mobile_priority": 2, "ui": { "icon": "SearchCheck", "tone": "match", "href": null } } ] }, { "id": "4a056f05660887657874a552d19c7712", "title": "Strategic Account Executive, UK", "employer_name": "Multiverse", "employer_slug": "multiverse", "location_text": "London, England, UK", "country": "GB", "employment_type": "unknown", "remote_status": "unspecified", "remote_status_source": null, "remote_status_enriched_at": null, "days_in_office": null, "timezone_overlap_hours": 3, "salary_min": null, "salary_max": null, "salary_min_source": null, "salary_max_source": null, "salary_currency": "GBP", "salary_type": "unknown", "salary_type_source": null, "salary_type_enriched_at": null, "salary_period": null, "base_salary_min": null, "base_salary_max": null, "salary_disclosed": false, "equity_included": true, "equity_included_source": null, "equity_type": [ "options" ], "k401_match": null, "match_401k_pct": null, "match_401k_pct_source": null, "k401_match_source_url": null, "k401_match_source_fields": [], "k401_contribution_source_url": null, "k401_contribution_source_fields": [], "profit_sharing": false, "bonus_offered": false, "mental_health_support": null, "childcare_subsidy": null, "fertility_family_building_benefits": null, "adoption_assistance_offered": null, "surrogacy_assistance_offered": null, "student_loan_repayment_offered": null, "learning_budget_offered": null, "relocation_assistance": null, "top_startup_sources": [ "cbinsights_unicorn" ], "posted_at": "2025-11-26T12:16:54.466Z", "apply_url": "https://jobs.ashbyhq.com/multiverse/b8af61df-b9ab-4a20-89a1-165673b110df", "apply_url_verified": false, "ats": "ashby", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Strategic Account Executive, UK London, England, UK Multiverse is the upskilling platform for AI and Tech adoption. We have partnered with 1,500+ companies to deliver a new kind of learning that's transforming today's workforce. Our upskilling apprenticeships are designed for people of any age and career stage to build critical AI, data, and tech skills. Our learners have driven $2bn+ ROI for their employers, using the skills they've learned to improve productivity and measurable performance. In June 2022, we announced a $220 million Series D funding round co-led by StepStone Group, Lightspeed Venture Partners and General Catalyst. With a post-money valuation of $1.7bn, the round makes us the UK's first EdTech unicorn. But we aren't stopping there. With a strong operational footprint and 800+ employees, we have ambitious plans to continue scaling. We're building a world where tech skills unlock people's potential and output. Join Multiverse and power our mission to equip the workforce to win in the AI era. The Opportunity A big part of achieving our £1.7Bn valuation was scaling our world-class Go-to-market team. We are just getting started, and are looking for exceptional sales individuals to help drive continued growth in the UK. We are expanding our Strategic Accounts team to accelerate growth across our largest and most complex customers and accounts Once here, you will: - Own some of our most important enterprise relationships. You'll focus on multi-million-pound, multi-stakeholder accounts where strategic influence and long-term value creation are essential. - Work to drive new opportunities in", "parental_leave_weeks": null, "non_birth_parent_leave_weeks": null, "parental_leave_weeks_source": null, "non_birth_parent_leave_weeks_source": null, "parental_leave_source_url": null, "pto_days": null, "unlimited_pto": false, "sabbatical_eligible": false, "family_friendly_score": 43, "benefit_verified": false, "benefit_last_verified": null, "hire_states_allowed": [], "state_eligibility_source": null, "state_eligibility_enriched_at": null, "llm_quality_pass_at": null, "seniority": "senior", "years_experience_min": 5, "years_experience_max": 9, "role_function": "sales", "employer_industry": null, "employer_size": "51-200", "quality_score": 45, "travel_pct": null, "requires_shift": null, "shift_type": "unknown", "shift_type_source": null, "weekend_work": "unknown", "weekend_work_source": null, "relocation_assistance_source": null, "contractor_w2": "unknown", "required_timezone": null, "fertility_family_building_benefits_source": null, "mental_health_support_source": null, "adoption_assistance_offered_source": null, "childcare_subsidy_source": null, "learning_budget_offered_source": null, "surrogacy_assistance_offered_source": null, "cover_letter_required": null, "cover_letter_required_source": null, "assessment_required": null, "assessment_required_source": null, "application_deadline": null, "application_deadline_source": null, "visa_sponsorship": false, "us_citizenship_required": false, "security_clearance": "none", "education_required": "none", "roll_up_count": null, "roll_up_total_locations": null, "explanations": [ { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.description_excerpt.b242da4568bccc9206", "query_id": "gq_d53b1e344183fcf53efb", "job_id": "4a056f05660887657874a552d19c7712", "signal_type": "query_match", "display_text": "Description: \"multiverse\"", "tooltip": "Description matched \"multiverse\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "description_excerpt", "source_value": "Strategic Account Executive, UK London, England, UK Multiverse is the upskilling platform for AI and Tech adoption. We have partnered with 1,500+ companies to deliver a new kind of learning that's transforming today's workforce. Our upskilling apprenticeships are designed for people of any age and career stage to build critical AI, data, and tech skills. Our learners have driven $2bn+ ROI for their employers, using the skills they've learned to improve productivity and measurable performance. In June 2022, we announced a $220 million Series D funding round co-led by StepStone Group, Lightspeed Venture Partners and General Catalyst. With a post-money valuation of $1.7bn, the round makes us the UK's first EdTech unicorn. But we aren't stopping there. With a strong operational footprint and 800+ employees, we have ambitious plans to continue scaling. We're building a world where tech skills unlock people's potential and output. Join Multiverse and power our mission to equip the workforce to win in the AI era. The Opportunity A big part of achieving our £1.7Bn valuation was scaling our world-class Go-to-market team. We are just getting started, and are looking for exceptional sales individuals to help drive continued growth in the UK. We are expanding our Strategic Accounts team to accelerate growth across our largest and most complex customers and accounts Once here, you will: - Own some of our most important enterprise relationships. You'll focus on multi-million-pound, multi-stakeholder accounts where strategic influence and long-term value creation are essential. - Work to drive new opportunities in", "matched_input": "multiverse", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_d53b1e344183fcf53efb:4a056f05660887657874a552d19c7712:description:multiverse", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 90, "mobile_priority": 1, "ui": { "icon": "Search", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.employer_name.feac2f7b875182911b", "query_id": "gq_d53b1e344183fcf53efb", "job_id": "4a056f05660887657874a552d19c7712", "signal_type": "query_match", "display_text": "Employer: \"multiverse\"", "tooltip": "Employer matched \"multiverse\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "employer_name", "source_value": "Multiverse", "matched_input": "multiverse", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_d53b1e344183fcf53efb:4a056f05660887657874a552d19c7712:employer:multiverse", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 90, "mobile_priority": 1, "ui": { "icon": "Search", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.semantic.employer_name.a32c721d29e274b9fe", "query_id": "gq_d53b1e344183fcf53efb", "job_id": "4a056f05660887657874a552d19c7712", "signal_type": "query_match", "display_text": "Employer: semantic match", "tooltip": "Employer provided semantic evidence for your search intent.", "source_binding": "reranker_semantic_evidence", "source_field": "employer_name", "source_value": "Multiverse", "matched_input": "multiverse", "derivation_source": "rerank_result.semantic_evidence", "candidate_evidence_id": null, "rerank_evidence_id": "rerank:3ff134ed6ff83bdda080307d", "taxonomy_alias_id": null, "oracle_verification_method": "reranker_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": false, "priority": 86, "mobile_priority": 2, "ui": { "icon": "Sparkles", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.employer_name.49010218912dc2c579", "query_id": "gq_d53b1e344183fcf53efb", "job_id": "4a056f05660887657874a552d19c7712", "signal_type": "query_match", "display_text": "Employer: \"multiverse\"", "tooltip": "Employer contains \"multiverse\" from your search.", "source_binding": "token_match", "source_field": "employer_name", "source_value": "Multiverse", "matched_input": "multiverse", "derivation_source": "row_field", "candidate_evidence_id": null, "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "row_field_contains", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 80, "mobile_priority": 2, "ui": { "icon": "SearchCheck", "tone": "match", "href": null } } ] }, { "id": "8799511b2e71221bd36f577fd8bf42c5", "title": "Senior Software Engineer (Atlas)", "employer_name": "Multiverse", "employer_slug": "multiverse", "location_text": "London, England, UK", "country": "GB", "employment_type": "unknown", "remote_status": "unspecified", "remote_status_source": null, "remote_status_enriched_at": null, "days_in_office": null, "timezone_overlap_hours": 3, "salary_min": null, "salary_max": null, "salary_min_source": null, "salary_max_source": null, "salary_currency": "USD", "salary_type": "unknown", "salary_type_source": null, "salary_type_enriched_at": null, "salary_period": null, "base_salary_min": null, "base_salary_max": null, "salary_disclosed": false, "equity_included": true, "equity_included_source": null, "equity_type": [ "options" ], "k401_match": null, "match_401k_pct": null, "match_401k_pct_source": null, "k401_match_source_url": null, "k401_match_source_fields": [], "k401_contribution_source_url": null, "k401_contribution_source_fields": [], "profit_sharing": false, "bonus_offered": false, "mental_health_support": null, "childcare_subsidy": null, "fertility_family_building_benefits": null, "adoption_assistance_offered": null, "surrogacy_assistance_offered": null, "student_loan_repayment_offered": null, "learning_budget_offered": null, "relocation_assistance": null, "top_startup_sources": [ "cbinsights_unicorn" ], "posted_at": "2026-04-22T13:38:32.824Z", "apply_url": "https://jobs.ashbyhq.com/multiverse/d671de58-42a2-466c-982f-93fbb844d692", "apply_url_verified": false, "ats": "ashby", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Senior Software Engineer (Atlas) London, England, UK Multiverse is the upskilling platform for AI and Tech adoption. We have partnered with 1,500+ companies to deliver a new kind of learning that's transforming today's workforce. Our upskilling apprenticeships are designed for people of any age and career stage to build critical AI, data, and tech skills. Our learners have driven $2bn+ ROI for their employers, using the skills they've learned to improve productivity and measurable performance. In June 2022, we announced a $220 million Series D funding round co-led by StepStone Group, Lightspeed Venture Partners and General Catalyst. With a post-money valuation of $1.7bn, the round makes us the UK's first EdTech unicorn. But we aren't stopping there. With a strong operational footprint and 800+ employees, we have ambitious plans to continue scaling. We're building a world where tech skills unlock people's potential and output. Join Multiverse and power our mission to equip the workforce to win in the AI era. The Opportunity It's an incredible time to join the Engineering team at Multiverse, the UK's first edtech unicorn, as we equip the workforce to win in an AI era. You have a real opportunity to impact the lives of 1,000s of people. The Mission: Multiverse is reshaping the future of workforce development. You will join a domain team to gain deep knowledge of our products and play a key role in delivering scalable, user-focused solutions across the platform. The Environment: This is a high-trust, hands-on building environment. You won't just", "parental_leave_weeks": null, "non_birth_parent_leave_weeks": null, "parental_leave_weeks_source": null, "non_birth_parent_leave_weeks_source": null, "parental_leave_source_url": null, "pto_days": null, "unlimited_pto": false, "sabbatical_eligible": false, "family_friendly_score": 43, "benefit_verified": false, "benefit_last_verified": null, "hire_states_allowed": [], "state_eligibility_source": null, "state_eligibility_enriched_at": null, "llm_quality_pass_at": null, "seniority": "senior", "years_experience_min": 5, "years_experience_max": 9, "role_function": "data", "employer_industry": null, "employer_size": "51-200", "quality_score": 45, "travel_pct": null, "requires_shift": true, "shift_type": "unknown", "shift_type_source": null, "weekend_work": "unknown", "weekend_work_source": null, "relocation_assistance_source": null, "contractor_w2": "unknown", "required_timezone": null, "fertility_family_building_benefits_source": null, "mental_health_support_source": null, "adoption_assistance_offered_source": null, "childcare_subsidy_source": null, "learning_budget_offered_source": null, "surrogacy_assistance_offered_source": null, "cover_letter_required": null, "cover_letter_required_source": null, "assessment_required": null, "assessment_required_source": null, "application_deadline": null, "application_deadline_source": null, "visa_sponsorship": false, "us_citizenship_required": false, "security_clearance": "none", "education_required": "masters", "roll_up_count": null, "roll_up_total_locations": null, "explanations": [ { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.description_excerpt.e19c643bd5ac473da9", "query_id": "gq_d53b1e344183fcf53efb", "job_id": "8799511b2e71221bd36f577fd8bf42c5", "signal_type": "query_match", "display_text": "Description: \"multiverse\"", "tooltip": "Description matched \"multiverse\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "description_excerpt", "source_value": "Senior Software Engineer (Atlas) London, England, UK Multiverse is the upskilling platform for AI and Tech adoption. We have partnered with 1,500+ companies to deliver a new kind of learning that's transforming today's workforce. Our upskilling apprenticeships are designed for people of any age and career stage to build critical AI, data, and tech skills. Our learners have driven $2bn+ ROI for their employers, using the skills they've learned to improve productivity and measurable performance. In June 2022, we announced a $220 million Series D funding round co-led by StepStone Group, Lightspeed Venture Partners and General Catalyst. With a post-money valuation of $1.7bn, the round makes us the UK's first EdTech unicorn. But we aren't stopping there. With a strong operational footprint and 800+ employees, we have ambitious plans to continue scaling. We're building a world where tech skills unlock people's potential and output. Join Multiverse and power our mission to equip the workforce to win in the AI era. The Opportunity It's an incredible time to join the Engineering team at Multiverse, the UK's first edtech unicorn, as we equip the workforce to win in an AI era. You have a real opportunity to impact the lives of 1,000s of people. The Mission: Multiverse is reshaping the future of workforce development. You will join a domain team to gain deep knowledge of our products and play a key role in delivering scalable, user-focused solutions across the platform. The Environment: This is a high-trust, hands-on building environment. You won't just", "matched_input": "multiverse", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_d53b1e344183fcf53efb:8799511b2e71221bd36f577fd8bf42c5:description:multiverse", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 90, "mobile_priority": 1, "ui": { "icon": "Search", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.employer_name.7967ab6ffc603d2151", "query_id": "gq_d53b1e344183fcf53efb", "job_id": "8799511b2e71221bd36f577fd8bf42c5", "signal_type": "query_match", "display_text": "Employer: \"multiverse\"", "tooltip": "Employer matched \"multiverse\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "employer_name", "source_value": "Multiverse", "matched_input": "multiverse", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_d53b1e344183fcf53efb:8799511b2e71221bd36f577fd8bf42c5:employer:multiverse", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 90, "mobile_priority": 1, "ui": { "icon": "Search", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.semantic.employer_name.e14866be9244592559", "query_id": "gq_d53b1e344183fcf53efb", "job_id": "8799511b2e71221bd36f577fd8bf42c5", "signal_type": "query_match", "display_text": "Employer: semantic match", "tooltip": "Employer provided semantic evidence for your search intent.", "source_binding": "reranker_semantic_evidence", "source_field": "employer_name", "source_value": "Multiverse", "matched_input": "multiverse", "derivation_source": "rerank_result.semantic_evidence", "candidate_evidence_id": null, "rerank_evidence_id": "rerank:0c4dded6ad1f60b7b5a0637d", "taxonomy_alias_id": null, "oracle_verification_method": "reranker_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": false, "priority": 86, "mobile_priority": 2, "ui": { "icon": "Sparkles", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.employer_name.1159c19a1638ca96d4", "query_id": "gq_d53b1e344183fcf53efb", "job_id": "8799511b2e71221bd36f577fd8bf42c5", "signal_type": "query_match", "display_text": "Employer: \"multiverse\"", "tooltip": "Employer contains \"multiverse\" from your search.", "source_binding": "token_match", "source_field": "employer_name", "source_value": "Multiverse", "matched_input": "multiverse", "derivation_source": "row_field", "candidate_evidence_id": null, "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "row_field_contains", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 80, "mobile_priority": 2, "ui": { "icon": "SearchCheck", "tone": "match", "href": null } } ] }, { "id": "55d4b5d8c89ab32a40c3bfa1383bdb13", "title": "Senior Data Scientist", "employer_name": "Multiverse", "employer_slug": "multiverse", "location_text": "London, England, UK", "country": "GB", "employment_type": "unknown", "remote_status": "unspecified", "remote_status_source": null, "remote_status_enriched_at": null, "days_in_office": null, "timezone_overlap_hours": 3, "salary_min": null, "salary_max": null, "salary_min_source": null, "salary_max_source": null, "salary_currency": "USD", "salary_type": "unknown", "salary_type_source": null, "salary_type_enriched_at": null, "salary_period": null, "base_salary_min": null, "base_salary_max": null, "salary_disclosed": false, "equity_included": true, "equity_included_source": null, "equity_type": [ "options" ], "k401_match": null, "match_401k_pct": null, "match_401k_pct_source": null, "k401_match_source_url": null, "k401_match_source_fields": [], "k401_contribution_source_url": null, "k401_contribution_source_fields": [], "profit_sharing": false, "bonus_offered": false, "mental_health_support": null, "childcare_subsidy": null, "fertility_family_building_benefits": null, "adoption_assistance_offered": null, "surrogacy_assistance_offered": null, "student_loan_repayment_offered": null, "learning_budget_offered": null, "relocation_assistance": null, "top_startup_sources": [ "cbinsights_unicorn" ], "posted_at": "2026-06-04T15:41:09.918Z", "apply_url": "https://jobs.ashbyhq.com/multiverse/84545270-ee74-4963-a571-fdea15ccb8b9", "apply_url_verified": false, "ats": "ashby", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Senior Data Scientist London, England, UK Multiverse is the upskilling platform for AI and Tech adoption. We have partnered with 1,500+ companies to deliver a new kind of learning that's transforming today's workforce. Our upskilling apprenticeships are designed for people of any age and career stage to build critical AI, data, and tech skills. Our learners have driven $2bn+ ROI for their employers, using the skills they've learned to improve productivity and measurable performance. In June 2022, we announced a $220 million Series D funding round co-led by StepStone Group, Lightspeed Venture Partners and General Catalyst. With a post-money valuation of $1.7bn, the round makes us the UK's first EdTech unicorn. But we aren't stopping there. With a strong operational footprint and 800+ employees, we have ambitious plans to continue scaling. We're building a world where tech skills unlock people's potential and output. Join Multiverse and power our mission to equip the workforce to win in the AI era. What we need: At Multiverse, the models we build don't just sit in notebooks - they drive the decisions that shape our business every day. From predicting learner outcomes to forecasting operational demand and optimising how we allocate resources, this work sits at the very core of how we run the company. As a Senior Data Scientist, you'll own these models end to end. You'll develop a deep understanding of how Multiverse operates across our customer, learner and operational domains - and translate that understanding into rigorous, production-grade ML models that", "parental_leave_weeks": null, "non_birth_parent_leave_weeks": null, "parental_leave_weeks_source": null, "non_birth_parent_leave_weeks_source": null, "parental_leave_source_url": null, "pto_days": null, "unlimited_pto": false, "sabbatical_eligible": false, "family_friendly_score": 43, "benefit_verified": false, "benefit_last_verified": null, "hire_states_allowed": [], "state_eligibility_source": null, "state_eligibility_enriched_at": null, "llm_quality_pass_at": null, "seniority": "senior", "years_experience_min": 5, "years_experience_max": 9, "role_function": "data", "employer_industry": null, "employer_size": "51-200", "quality_score": 45, "travel_pct": null, "requires_shift": null, "shift_type": "unknown", "shift_type_source": null, "weekend_work": "unknown", "weekend_work_source": null, "relocation_assistance_source": null, "contractor_w2": "unknown", "required_timezone": null, "fertility_family_building_benefits_source": null, "mental_health_support_source": null, "adoption_assistance_offered_source": null, "childcare_subsidy_source": null, "learning_budget_offered_source": null, "surrogacy_assistance_offered_source": null, "cover_letter_required": null, "cover_letter_required_source": null, "assessment_required": null, "assessment_required_source": null, "application_deadline": null, "application_deadline_source": null, "visa_sponsorship": false, "us_citizenship_required": false, "security_clearance": "none", "education_required": "none", "roll_up_count": null, "roll_up_total_locations": null, "explanations": [ { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.description_excerpt.20f6a7e2723718a794", "query_id": "gq_d53b1e344183fcf53efb", "job_id": "55d4b5d8c89ab32a40c3bfa1383bdb13", "signal_type": "query_match", "display_text": "Description: \"multiverse\"", "tooltip": "Description matched \"multiverse\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "description_excerpt", "source_value": "Senior Data Scientist London, England, UK Multiverse is the upskilling platform for AI and Tech adoption. We have partnered with 1,500+ companies to deliver a new kind of learning that's transforming today's workforce. Our upskilling apprenticeships are designed for people of any age and career stage to build critical AI, data, and tech skills. Our learners have driven $2bn+ ROI for their employers, using the skills they've learned to improve productivity and measurable performance. In June 2022, we announced a $220 million Series D funding round co-led by StepStone Group, Lightspeed Venture Partners and General Catalyst. With a post-money valuation of $1.7bn, the round makes us the UK's first EdTech unicorn. But we aren't stopping there. With a strong operational footprint and 800+ employees, we have ambitious plans to continue scaling. We're building a world where tech skills unlock people's potential and output. Join Multiverse and power our mission to equip the workforce to win in the AI era. What we need: At Multiverse, the models we build don't just sit in notebooks - they drive the decisions that shape our business every day. From predicting learner outcomes to forecasting operational demand and optimising how we allocate resources, this work sits at the very core of how we run the company. As a Senior Data Scientist, you'll own these models end to end. You'll develop a deep understanding of how Multiverse operates across our customer, learner and operational domains - and translate that understanding into rigorous, production-grade ML models that", "matched_input": "multiverse", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_d53b1e344183fcf53efb:55d4b5d8c89ab32a40c3bfa1383bdb13:description:multiverse", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 90, "mobile_priority": 1, "ui": { "icon": "Search", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.employer_name.666e941cc68e83f311", "query_id": "gq_d53b1e344183fcf53efb", "job_id": "55d4b5d8c89ab32a40c3bfa1383bdb13", "signal_type": "query_match", "display_text": "Employer: \"multiverse\"", "tooltip": "Employer matched \"multiverse\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "employer_name", "source_value": "Multiverse", "matched_input": "multiverse", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_d53b1e344183fcf53efb:55d4b5d8c89ab32a40c3bfa1383bdb13:employer:multiverse", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 90, "mobile_priority": 1, "ui": { "icon": "Search", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.semantic.employer_name.e0ce4fbc6e2f875452", "query_id": "gq_d53b1e344183fcf53efb", "job_id": "55d4b5d8c89ab32a40c3bfa1383bdb13", "signal_type": "query_match", "display_text": "Employer: semantic match", "tooltip": "Employer provided semantic evidence for your search intent.", "source_binding": "reranker_semantic_evidence", "source_field": "employer_name", "source_value": "Multiverse", "matched_input": "multiverse", "derivation_source": "rerank_result.semantic_evidence", "candidate_evidence_id": null, "rerank_evidence_id": "rerank:6b0dd8d70c3885426edac3aa", "taxonomy_alias_id": null, "oracle_verification_method": "reranker_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": false, "priority": 86, "mobile_priority": 2, "ui": { "icon": "Sparkles", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.employer_name.84f5bf5d70bc6513e7", "query_id": "gq_d53b1e344183fcf53efb", "job_id": "55d4b5d8c89ab32a40c3bfa1383bdb13", "signal_type": "query_match", "display_text": "Employer: \"multiverse\"", "tooltip": "Employer contains \"multiverse\" from your search.", "source_binding": "token_match", "source_field": "employer_name", "source_value": "Multiverse", "matched_input": "multiverse", "derivation_source": "row_field", "candidate_evidence_id": null, "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "row_field_contains", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 80, "mobile_priority": 2, "ui": { "icon": "SearchCheck", "tone": "match", "href": null } } ] }, { "id": "d2e477a1bc4474620633bb807564240b", "title": "Enterprise Account Executive, UK", "employer_name": "Multiverse", "employer_slug": "multiverse", "location_text": "London, England, UK", "country": "GB", "employment_type": "unknown", "remote_status": "unspecified", "remote_status_source": null, "remote_status_enriched_at": null, "days_in_office": null, "timezone_overlap_hours": 3, "salary_min": null, "salary_max": null, "salary_min_source": null, "salary_max_source": null, "salary_currency": "USD", "salary_type": "unknown", "salary_type_source": null, "salary_type_enriched_at": null, "salary_period": null, "base_salary_min": null, "base_salary_max": null, "salary_disclosed": false, "equity_included": true, "equity_included_source": null, "equity_type": [ "options" ], "k401_match": null, "match_401k_pct": null, "match_401k_pct_source": null, "k401_match_source_url": null, "k401_match_source_fields": [], "k401_contribution_source_url": null, "k401_contribution_source_fields": [], "profit_sharing": false, "bonus_offered": false, "mental_health_support": null, "childcare_subsidy": null, "fertility_family_building_benefits": null, "adoption_assistance_offered": null, "surrogacy_assistance_offered": null, "student_loan_repayment_offered": null, "learning_budget_offered": null, "relocation_assistance": null, "top_startup_sources": [ "cbinsights_unicorn" ], "posted_at": "2023-10-02T10:20:16.160Z", "apply_url": "https://jobs.ashbyhq.com/multiverse/4a48ae46-fb64-4ebf-878c-66c4db54ab26", "apply_url_verified": false, "ats": "ashby", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Enterprise Account Executive, UK London, England, UK Multiverse is the upskilling platform for AI and Tech adoption. We have partnered with 1,500+ companies to deliver a new kind of learning that's transforming today's workforce. Our upskilling apprenticeships are designed for people of any age and career stage to build critical AI, data, and tech skills. Our learners have driven $2bn+ ROI for their employers, using the skills they've learned to improve productivity and measurable performance. In June 2022, we announced a $220 million Series D funding round co-led by StepStone Group, Lightspeed Venture Partners and General Catalyst. With a post-money valuation of $1.7bn, the round makes us the UK's first EdTech unicorn. But we aren't stopping there. With a strong operational footprint and 800+ employees, we have ambitious plans to continue scaling. We're building a world where tech skills unlock people's potential and output. Join Multiverse and power our mission to equip the workforce to win in the AI era. The Opportunity In 2021, we set out to become a mission-driven unicorn and in June 2022 we broke the EdTech funding record by announcing our $220m Series D raise, valuing Multiverse at $1.7bn. We are just getting started, and we're looking for exceptional sales individuals to help drive continued growth with enterprise clients in the UK. Once here, you will: - Learn the world-class Multiverse GTM playbook supported by industry-leading sales training and a true development culture - Master MEDDIC to drive and grow your opportunities - Drive new business", "parental_leave_weeks": null, "non_birth_parent_leave_weeks": null, "parental_leave_weeks_source": null, "non_birth_parent_leave_weeks_source": null, "parental_leave_source_url": null, "pto_days": null, "unlimited_pto": false, "sabbatical_eligible": false, "family_friendly_score": 43, "benefit_verified": false, "benefit_last_verified": null, "hire_states_allowed": [], "state_eligibility_source": null, "state_eligibility_enriched_at": null, "llm_quality_pass_at": null, "seniority": "senior", "years_experience_min": 5, "years_experience_max": 9, "role_function": "sales", "employer_industry": null, "employer_size": "51-200", "quality_score": 45, "travel_pct": null, "requires_shift": null, "shift_type": "unknown", "shift_type_source": null, "weekend_work": "unknown", "weekend_work_source": null, "relocation_assistance_source": null, "contractor_w2": "unknown", "required_timezone": null, "fertility_family_building_benefits_source": null, "mental_health_support_source": null, "adoption_assistance_offered_source": null, "childcare_subsidy_source": null, "learning_budget_offered_source": null, "surrogacy_assistance_offered_source": null, "cover_letter_required": null, "cover_letter_required_source": null, "assessment_required": null, "assessment_required_source": null, "application_deadline": null, "application_deadline_source": null, "visa_sponsorship": false, "us_citizenship_required": false, "security_clearance": "none", "education_required": "masters", "roll_up_count": null, "roll_up_total_locations": null, "explanations": [ { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.description_excerpt.d9c09a718a81b4acf2", "query_id": "gq_d53b1e344183fcf53efb", "job_id": "d2e477a1bc4474620633bb807564240b", "signal_type": "query_match", "display_text": "Description: \"multiverse\"", "tooltip": "Description matched \"multiverse\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "description_excerpt", "source_value": "Enterprise Account Executive, UK London, England, UK Multiverse is the upskilling platform for AI and Tech adoption. We have partnered with 1,500+ companies to deliver a new kind of learning that's transforming today's workforce. Our upskilling apprenticeships are designed for people of any age and career stage to build critical AI, data, and tech skills. Our learners have driven $2bn+ ROI for their employers, using the skills they've learned to improve productivity and measurable performance. In June 2022, we announced a $220 million Series D funding round co-led by StepStone Group, Lightspeed Venture Partners and General Catalyst. With a post-money valuation of $1.7bn, the round makes us the UK's first EdTech unicorn. But we aren't stopping there. With a strong operational footprint and 800+ employees, we have ambitious plans to continue scaling. We're building a world where tech skills unlock people's potential and output. Join Multiverse and power our mission to equip the workforce to win in the AI era. The Opportunity In 2021, we set out to become a mission-driven unicorn and in June 2022 we broke the EdTech funding record by announcing our $220m Series D raise, valuing Multiverse at $1.7bn. We are just getting started, and we're looking for exceptional sales individuals to help drive continued growth with enterprise clients in the UK. Once here, you will: - Learn the world-class Multiverse GTM playbook supported by industry-leading sales training and a true development culture - Master MEDDIC to drive and grow your opportunities - Drive new business", "matched_input": "multiverse", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_d53b1e344183fcf53efb:d2e477a1bc4474620633bb807564240b:description:multiverse", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 90, "mobile_priority": 1, "ui": { "icon": "Search", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.employer_name.ab52ef61c303910266", "query_id": "gq_d53b1e344183fcf53efb", "job_id": "d2e477a1bc4474620633bb807564240b", "signal_type": "query_match", "display_text": "Employer: \"multiverse\"", "tooltip": "Employer matched \"multiverse\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "employer_name", "source_value": "Multiverse", "matched_input": "multiverse", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_d53b1e344183fcf53efb:d2e477a1bc4474620633bb807564240b:employer:multiverse", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 90, "mobile_priority": 1, "ui": { "icon": "Search", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.semantic.employer_name.f35291d77ae81793ad", "query_id": "gq_d53b1e344183fcf53efb", "job_id": "d2e477a1bc4474620633bb807564240b", "signal_type": "query_match", "display_text": "Employer: semantic match", "tooltip": "Employer provided semantic evidence for your search intent.", "source_binding": "reranker_semantic_evidence", "source_field": "employer_name", "source_value": "Multiverse", "matched_input": "multiverse", "derivation_source": "rerank_result.semantic_evidence", "candidate_evidence_id": null, "rerank_evidence_id": "rerank:b9834ddaaa1c5c8b89159f9f", "taxonomy_alias_id": null, "oracle_verification_method": "reranker_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": false, "priority": 86, "mobile_priority": 2, "ui": { "icon": "Sparkles", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.employer_name.2dcf920b516b253fc3", "query_id": "gq_d53b1e344183fcf53efb", "job_id": "d2e477a1bc4474620633bb807564240b", "signal_type": "query_match", "display_text": "Employer: \"multiverse\"", "tooltip": "Employer contains \"multiverse\" from your search.", "source_binding": "token_match", "source_field": "employer_name", "source_value": "Multiverse", "matched_input": "multiverse", "derivation_source": "row_field", "candidate_evidence_id": null, "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "row_field_contains", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 80, "mobile_priority": 2, "ui": { "icon": "SearchCheck", "tone": "match", "href": null } } ] }, { "id": "dad84a15a8a28fb41a522ff1aebfd70d", "title": "Finance Operations Manager", "employer_name": "Multiverse", "employer_slug": "multiverse", "location_text": "London, England, UK", "country": "GB", "employment_type": "unknown", "remote_status": "unspecified", "remote_status_source": null, "remote_status_enriched_at": null, "days_in_office": null, "timezone_overlap_hours": 3, "salary_min": null, "salary_max": null, "salary_min_source": null, "salary_max_source": null, "salary_currency": "USD", "salary_type": "unknown", "salary_type_source": null, "salary_type_enriched_at": null, "salary_period": null, "base_salary_min": null, "base_salary_max": null, "salary_disclosed": false, "equity_included": true, "equity_included_source": null, "equity_type": [ "options" ], "k401_match": null, "match_401k_pct": null, "match_401k_pct_source": null, "k401_match_source_url": null, "k401_match_source_fields": [], "k401_contribution_source_url": null, "k401_contribution_source_fields": [], "profit_sharing": false, "bonus_offered": false, "mental_health_support": null, "childcare_subsidy": null, "fertility_family_building_benefits": null, "adoption_assistance_offered": null, "surrogacy_assistance_offered": null, "student_loan_repayment_offered": null, "learning_budget_offered": null, "relocation_assistance": null, "top_startup_sources": [ "cbinsights_unicorn" ], "posted_at": "2026-05-11T16:17:23.234Z", "apply_url": "https://jobs.ashbyhq.com/multiverse/94bc04dd-a52e-4b8e-96bb-81f5186079e5", "apply_url_verified": false, "ats": "ashby", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Finance Operations Manager London, England, UK Multiverse is the upskilling platform for AI and Tech adoption. We have partnered with 1,500+ companies to deliver a new kind of learning that's transforming today's workforce. Our upskilling apprenticeships are designed for people of any age and career stage to build critical AI, data, and tech skills. Our learners have driven $2bn+ ROI for their employers, using the skills they've learned to improve productivity and measurable performance. In June 2022, we announced a $220 million Series D funding round co-led by StepStone Group, Lightspeed Venture Partners and General Catalyst. With a post-money valuation of $1.7bn, the round makes us the UK's first EdTech unicorn. But we aren't stopping there. With a strong operational footprint and 800+ employees, we have ambitious plans to continue scaling. We're building a world where tech skills unlock people's potential and output. Join Multiverse and power our mission to equip the workforce to win in the AI era. The Opportunity We're looking for a Finance Operations Manager to join our Group Finance team at Multiverse. This is a high-ownership role at the intersection of Finance, Sales, and Operations. You'll take full responsibility for the end-to-end commissions process for our UK sales organisation - from calculation and payment through to reporting, controls, and system administration. It's a role that demands technical rigour and commercial judgement in equal measure, and one that gives you a genuine seat at the table with Sales leadership and FP&A. For someone coming from an audit", "parental_leave_weeks": null, "non_birth_parent_leave_weeks": null, "parental_leave_weeks_source": null, "non_birth_parent_leave_weeks_source": null, "parental_leave_source_url": null, "pto_days": null, "unlimited_pto": false, "sabbatical_eligible": false, "family_friendly_score": 43, "benefit_verified": false, "benefit_last_verified": null, "hire_states_allowed": [], "state_eligibility_source": null, "state_eligibility_enriched_at": null, "llm_quality_pass_at": null, "seniority": "senior", "years_experience_min": 6, "years_experience_max": 10, "role_function": "operations", "employer_industry": null, "employer_size": "51-200", "quality_score": 45, "travel_pct": null, "requires_shift": null, "shift_type": "unknown", "shift_type_source": null, "weekend_work": "unknown", "weekend_work_source": null, "relocation_assistance_source": null, "contractor_w2": "unknown", "required_timezone": null, "fertility_family_building_benefits_source": null, "mental_health_support_source": null, "adoption_assistance_offered_source": null, "childcare_subsidy_source": null, "learning_budget_offered_source": null, "surrogacy_assistance_offered_source": null, "cover_letter_required": null, "cover_letter_required_source": null, "assessment_required": null, "assessment_required_source": null, "application_deadline": null, "application_deadline_source": null, "visa_sponsorship": false, "us_citizenship_required": false, "security_clearance": "none", "education_required": "none", "roll_up_count": null, "roll_up_total_locations": null, "explanations": [ { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.description_excerpt.253b5dd8abe1b13cef", "query_id": "gq_d53b1e344183fcf53efb", "job_id": "dad84a15a8a28fb41a522ff1aebfd70d", "signal_type": "query_match", "display_text": "Description: \"multiverse\"", "tooltip": "Description matched \"multiverse\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "description_excerpt", "source_value": "Finance Operations Manager London, England, UK Multiverse is the upskilling platform for AI and Tech adoption. We have partnered with 1,500+ companies to deliver a new kind of learning that's transforming today's workforce. Our upskilling apprenticeships are designed for people of any age and career stage to build critical AI, data, and tech skills. Our learners have driven $2bn+ ROI for their employers, using the skills they've learned to improve productivity and measurable performance. In June 2022, we announced a $220 million Series D funding round co-led by StepStone Group, Lightspeed Venture Partners and General Catalyst. With a post-money valuation of $1.7bn, the round makes us the UK's first EdTech unicorn. But we aren't stopping there. With a strong operational footprint and 800+ employees, we have ambitious plans to continue scaling. We're building a world where tech skills unlock people's potential and output. Join Multiverse and power our mission to equip the workforce to win in the AI era. The Opportunity We're looking for a Finance Operations Manager to join our Group Finance team at Multiverse. This is a high-ownership role at the intersection of Finance, Sales, and Operations. You'll take full responsibility for the end-to-end commissions process for our UK sales organisation - from calculation and payment through to reporting, controls, and system administration. It's a role that demands technical rigour and commercial judgement in equal measure, and one that gives you a genuine seat at the table with Sales leadership and FP&A. For someone coming from an audit", "matched_input": "multiverse", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_d53b1e344183fcf53efb:dad84a15a8a28fb41a522ff1aebfd70d:description:multiverse", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 90, "mobile_priority": 1, "ui": { "icon": "Search", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.employer_name.8af71cbc77c7d8cd95", "query_id": "gq_d53b1e344183fcf53efb", "job_id": "dad84a15a8a28fb41a522ff1aebfd70d", "signal_type": "query_match", "display_text": "Employer: \"multiverse\"", "tooltip": "Employer matched \"multiverse\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "employer_name", "source_value": "Multiverse", "matched_input": "multiverse", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_d53b1e344183fcf53efb:dad84a15a8a28fb41a522ff1aebfd70d:employer:multiverse", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 90, "mobile_priority": 1, "ui": { "icon": "Search", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.semantic.employer_name.f5262ac7d756a9767f", "query_id": "gq_d53b1e344183fcf53efb", "job_id": "dad84a15a8a28fb41a522ff1aebfd70d", "signal_type": "query_match", "display_text": "Employer: semantic match", "tooltip": "Employer provided semantic evidence for your search intent.", "source_binding": "reranker_semantic_evidence", "source_field": "employer_name", "source_value": "Multiverse", "matched_input": "multiverse", "derivation_source": "rerank_result.semantic_evidence", "candidate_evidence_id": null, "rerank_evidence_id": "rerank:30a9feaa5a44bf71bb4b5e49", "taxonomy_alias_id": null, "oracle_verification_method": "reranker_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": false, "priority": 86, "mobile_priority": 2, "ui": { "icon": "Sparkles", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.employer_name.d58ae6637f445f7089", "query_id": "gq_d53b1e344183fcf53efb", "job_id": "dad84a15a8a28fb41a522ff1aebfd70d", "signal_type": "query_match", "display_text": "Employer: \"multiverse\"", "tooltip": "Employer contains \"multiverse\" from your search.", "source_binding": "token_match", "source_field": "employer_name", "source_value": "Multiverse", "matched_input": "multiverse", "derivation_source": "row_field", "candidate_evidence_id": null, "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "row_field_contains", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 80, "mobile_priority": 2, "ui": { "icon": "SearchCheck", "tone": "match", "href": null } } ] }, { "id": "4d9a13b23bdc76d76c2b97e125943a5d", "title": "IT Systems Engineer", "employer_name": "Multiverse", "employer_slug": "multiverse", "location_text": "London, England, UK", "country": "GB", "employment_type": "unknown", "remote_status": "unspecified", "remote_status_source": null, "remote_status_enriched_at": null, "days_in_office": null, "timezone_overlap_hours": 3, "salary_min": null, "salary_max": null, "salary_min_source": null, "salary_max_source": null, "salary_currency": "USD", "salary_type": "unknown", "salary_type_source": null, "salary_type_enriched_at": null, "salary_period": null, "base_salary_min": null, "base_salary_max": null, "salary_disclosed": false, "equity_included": true, "equity_included_source": null, "equity_type": [ "options" ], "k401_match": null, "match_401k_pct": null, "match_401k_pct_source": null, "k401_match_source_url": null, "k401_match_source_fields": [], "k401_contribution_source_url": null, "k401_contribution_source_fields": [], "profit_sharing": false, "bonus_offered": true, "mental_health_support": null, "childcare_subsidy": null, "fertility_family_building_benefits": null, "adoption_assistance_offered": null, "surrogacy_assistance_offered": null, "student_loan_repayment_offered": null, "learning_budget_offered": null, "relocation_assistance": null, "top_startup_sources": [ "cbinsights_unicorn" ], "posted_at": "2026-03-10T12:33:50.425Z", "apply_url": "https://jobs.ashbyhq.com/multiverse/516fcc55-6457-4b9c-91ca-37a3a8ae5545", "apply_url_verified": false, "ats": "ashby", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "IT Systems Engineer London, England, UK Multiverse is the upskilling platform for AI and Tech adoption. We have partnered with 1,500+ companies to deliver a new kind of learning that's transforming today's workforce. Our upskilling apprenticeships are designed for people of any age and career stage to build critical AI, data, and tech skills. Our learners have driven $2bn+ ROI for their employers, using the skills they've learned to improve productivity and measurable performance. In June 2022, we announced a $220 million Series D funding round co-led by StepStone Group, Lightspeed Venture Partners and General Catalyst. With a post-money valuation of $1.7bn, the round makes us the UK's first EdTech unicorn. But we aren't stopping there. With a strong operational footprint and 800+ employees, we have ambitious plans to continue scaling. We're building a world where tech skills unlock people's potential and output. Join Multiverse and power our mission to equip the workforce to win in the AI era. The Role We're looking for a technically strong IT Systems Engineer to join our lean Enterprise Technology team and build the automation and integrations that keep a fast-scaling business running smoothly. This is a deep, hands-on build role. You'll spend your time in APIs, webhooks, and scripts - designing and shipping automation that genuinely removes toil, integrating our core platforms, and providing the technical horsepower behind our major programmes. We care about what you build and how well it holds up, not how loud you are about it - \"headphones on,", "parental_leave_weeks": null, "non_birth_parent_leave_weeks": null, "parental_leave_weeks_source": null, "non_birth_parent_leave_weeks_source": null, "parental_leave_source_url": null, "pto_days": null, "unlimited_pto": false, "sabbatical_eligible": false, "family_friendly_score": 43, "benefit_verified": false, "benefit_last_verified": null, "hire_states_allowed": [], "state_eligibility_source": null, "state_eligibility_enriched_at": null, "llm_quality_pass_at": null, "seniority": "mid", "years_experience_min": 3, "years_experience_max": 7, "role_function": "data", "employer_industry": null, "employer_size": "51-200", "quality_score": 45, "travel_pct": null, "requires_shift": null, "shift_type": "unknown", "shift_type_source": null, "weekend_work": "unknown", "weekend_work_source": null, "relocation_assistance_source": null, "contractor_w2": "unknown", "required_timezone": null, "fertility_family_building_benefits_source": null, "mental_health_support_source": null, "adoption_assistance_offered_source": null, "childcare_subsidy_source": null, "learning_budget_offered_source": null, "surrogacy_assistance_offered_source": null, "cover_letter_required": null, "cover_letter_required_source": null, "assessment_required": null, "assessment_required_source": null, "application_deadline": null, "application_deadline_source": null, "visa_sponsorship": false, "us_citizenship_required": false, "security_clearance": "none", "education_required": "none", "roll_up_count": null, "roll_up_total_locations": null, "explanations": [ { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.description_excerpt.12c0b4cb62d97b7ba6", "query_id": "gq_d53b1e344183fcf53efb", "job_id": "4d9a13b23bdc76d76c2b97e125943a5d", "signal_type": "query_match", "display_text": "Description: \"multiverse\"", "tooltip": "Description matched \"multiverse\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "description_excerpt", "source_value": "IT Systems Engineer London, England, UK Multiverse is the upskilling platform for AI and Tech adoption. We have partnered with 1,500+ companies to deliver a new kind of learning that's transforming today's workforce. Our upskilling apprenticeships are designed for people of any age and career stage to build critical AI, data, and tech skills. Our learners have driven $2bn+ ROI for their employers, using the skills they've learned to improve productivity and measurable performance. In June 2022, we announced a $220 million Series D funding round co-led by StepStone Group, Lightspeed Venture Partners and General Catalyst. With a post-money valuation of $1.7bn, the round makes us the UK's first EdTech unicorn. But we aren't stopping there. With a strong operational footprint and 800+ employees, we have ambitious plans to continue scaling. We're building a world where tech skills unlock people's potential and output. Join Multiverse and power our mission to equip the workforce to win in the AI era. The Role We're looking for a technically strong IT Systems Engineer to join our lean Enterprise Technology team and build the automation and integrations that keep a fast-scaling business running smoothly. This is a deep, hands-on build role. You'll spend your time in APIs, webhooks, and scripts - designing and shipping automation that genuinely removes toil, integrating our core platforms, and providing the technical horsepower behind our major programmes. We care about what you build and how well it holds up, not how loud you are about it - \"headphones on,", "matched_input": "multiverse", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_d53b1e344183fcf53efb:4d9a13b23bdc76d76c2b97e125943a5d:description:multiverse", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 90, "mobile_priority": 1, "ui": { "icon": "Search", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.employer_name.4b3ca818343b9d4750", "query_id": "gq_d53b1e344183fcf53efb", "job_id": "4d9a13b23bdc76d76c2b97e125943a5d", "signal_type": "query_match", "display_text": "Employer: \"multiverse\"", "tooltip": "Employer matched \"multiverse\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "employer_name", "source_value": "Multiverse", "matched_input": "multiverse", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_d53b1e344183fcf53efb:4d9a13b23bdc76d76c2b97e125943a5d:employer:multiverse", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 90, "mobile_priority": 1, "ui": { "icon": "Search", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.semantic.employer_name.5491c09e689a52c4ad", "query_id": "gq_d53b1e344183fcf53efb", "job_id": "4d9a13b23bdc76d76c2b97e125943a5d", "signal_type": "query_match", "display_text": "Employer: semantic match", "tooltip": "Employer provided semantic evidence for your search intent.", "source_binding": "reranker_semantic_evidence", "source_field": "employer_name", "source_value": "Multiverse", "matched_input": "multiverse", "derivation_source": "rerank_result.semantic_evidence", "candidate_evidence_id": null, "rerank_evidence_id": "rerank:8e1bb12bf9627d191f8f0dc2", "taxonomy_alias_id": null, "oracle_verification_method": "reranker_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": false, "priority": 86, "mobile_priority": 2, "ui": { "icon": "Sparkles", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.employer_name.bfd14131db57293df7", "query_id": "gq_d53b1e344183fcf53efb", "job_id": "4d9a13b23bdc76d76c2b97e125943a5d", "signal_type": "query_match", "display_text": "Employer: \"multiverse\"", "tooltip": "Employer contains \"multiverse\" from your search.", "source_binding": "token_match", "source_field": "employer_name", "source_value": "Multiverse", "matched_input": "multiverse", "derivation_source": "row_field", "candidate_evidence_id": null, "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "row_field_contains", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 80, "mobile_priority": 2, "ui": { "icon": "SearchCheck", "tone": "match", "href": null } } ] }, { "id": "2cd26c34f1782125e7050fbaba313777", "title": "AI Portfolio Lead", "employer_name": "Multiverse", "employer_slug": "multiverse", "location_text": "London, England, UK", "country": "GB", "employment_type": "unknown", "remote_status": "unspecified", "remote_status_source": null, "remote_status_enriched_at": null, "days_in_office": null, "timezone_overlap_hours": 3, "salary_min": null, "salary_max": null, "salary_min_source": null, "salary_max_source": null, "salary_currency": "USD", "salary_type": "unknown", "salary_type_source": null, "salary_type_enriched_at": null, "salary_period": null, "base_salary_min": null, "base_salary_max": null, "salary_disclosed": false, "equity_included": true, "equity_included_source": null, "equity_type": [ "options" ], "k401_match": null, "match_401k_pct": null, "match_401k_pct_source": null, "k401_match_source_url": null, "k401_match_source_fields": [], "k401_contribution_source_url": null, "k401_contribution_source_fields": [], "profit_sharing": false, "bonus_offered": false, "mental_health_support": null, "childcare_subsidy": null, "fertility_family_building_benefits": null, "adoption_assistance_offered": null, "surrogacy_assistance_offered": null, "student_loan_repayment_offered": null, "learning_budget_offered": null, "relocation_assistance": null, "top_startup_sources": [ "cbinsights_unicorn" ], "posted_at": "2026-04-24T15:21:09.456Z", "apply_url": "https://jobs.ashbyhq.com/multiverse/e87fa2d9-0871-4eb4-9182-8ee8cab6eb60", "apply_url_verified": false, "ats": "ashby", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "AI Portfolio Lead London, England, UK Multiverse is the upskilling platform for AI and Tech adoption. We have partnered with 1,500+ companies to deliver a new kind of learning that's transforming today's workforce. Our upskilling apprenticeships are designed for people of any age and career stage to build critical AI, data, and tech skills. Our learners have driven $2bn+ ROI for their employers, using the skills they've learned to improve productivity and measurable performance. In June 2022, we announced a $220 million Series D funding round co-led by StepStone Group, Lightspeed Venture Partners and General Catalyst. With a post-money valuation of $1.7bn, the round makes us the UK's first EdTech unicorn. But we aren't stopping there. With a strong operational footprint and 800+ employees, we have ambitious plans to continue scaling. We're building a world where tech skills unlock people's potential and output. Join Multiverse and power our mission to equip the workforce to win in the AI era. The Opportunity The Portfolio Lead curates a world-class UK apprenticeship product set focused on AI upskilling. Working as one of two dedicated leads within our AI vertical, you are an AI-literate strategist who isn't shy about your passion for how generative AI, agentic workshops and complex AI transformative initiatives are reshaping the workforce. You have a deep understanding of the AI tooling market, both now and how it will continue to evolve. Practically, you will own the roadmap and key performance metrics for a set of products, proactively scoping new UK", "parental_leave_weeks": null, "non_birth_parent_leave_weeks": null, "parental_leave_weeks_source": null, "non_birth_parent_leave_weeks_source": null, "parental_leave_source_url": null, "pto_days": null, "unlimited_pto": false, "sabbatical_eligible": false, "family_friendly_score": 43, "benefit_verified": false, "benefit_last_verified": null, "hire_states_allowed": [], "state_eligibility_source": null, "state_eligibility_enriched_at": null, "llm_quality_pass_at": null, "seniority": "senior", "years_experience_min": 5, "years_experience_max": 9, "role_function": "other", "employer_industry": null, "employer_size": "51-200", "quality_score": 45, "travel_pct": null, "requires_shift": null, "shift_type": "unknown", "shift_type_source": null, "weekend_work": "unknown", "weekend_work_source": null, "relocation_assistance_source": null, "contractor_w2": "unknown", "required_timezone": null, "fertility_family_building_benefits_source": null, "mental_health_support_source": null, "adoption_assistance_offered_source": null, "childcare_subsidy_source": null, "learning_budget_offered_source": null, "surrogacy_assistance_offered_source": null, "cover_letter_required": null, "cover_letter_required_source": null, "assessment_required": null, "assessment_required_source": null, "application_deadline": null, "application_deadline_source": null, "visa_sponsorship": false, "us_citizenship_required": false, "security_clearance": "none", "education_required": "none", "roll_up_count": null, "roll_up_total_locations": null, "explanations": [ { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.description_excerpt.18fb71a192438a15d4", "query_id": "gq_d53b1e344183fcf53efb", "job_id": "2cd26c34f1782125e7050fbaba313777", "signal_type": "query_match", "display_text": "Description: \"multiverse\"", "tooltip": "Description matched \"multiverse\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "description_excerpt", "source_value": "AI Portfolio Lead London, England, UK Multiverse is the upskilling platform for AI and Tech adoption. We have partnered with 1,500+ companies to deliver a new kind of learning that's transforming today's workforce. Our upskilling apprenticeships are designed for people of any age and career stage to build critical AI, data, and tech skills. Our learners have driven $2bn+ ROI for their employers, using the skills they've learned to improve productivity and measurable performance. In June 2022, we announced a $220 million Series D funding round co-led by StepStone Group, Lightspeed Venture Partners and General Catalyst. With a post-money valuation of $1.7bn, the round makes us the UK's first EdTech unicorn. But we aren't stopping there. With a strong operational footprint and 800+ employees, we have ambitious plans to continue scaling. We're building a world where tech skills unlock people's potential and output. Join Multiverse and power our mission to equip the workforce to win in the AI era. The Opportunity The Portfolio Lead curates a world-class UK apprenticeship product set focused on AI upskilling. Working as one of two dedicated leads within our AI vertical, you are an AI-literate strategist who isn't shy about your passion for how generative AI, agentic workshops and complex AI transformative initiatives are reshaping the workforce. You have a deep understanding of the AI tooling market, both now and how it will continue to evolve. Practically, you will own the roadmap and key performance metrics for a set of products, proactively scoping new UK", "matched_input": "multiverse", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_d53b1e344183fcf53efb:2cd26c34f1782125e7050fbaba313777:description:multiverse", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 90, "mobile_priority": 1, "ui": { "icon": "Search", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.employer_name.c4e14fd7d293036010", "query_id": "gq_d53b1e344183fcf53efb", "job_id": "2cd26c34f1782125e7050fbaba313777", "signal_type": "query_match", "display_text": "Employer: \"multiverse\"", "tooltip": "Employer matched \"multiverse\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "employer_name", "source_value": "Multiverse", "matched_input": "multiverse", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_d53b1e344183fcf53efb:2cd26c34f1782125e7050fbaba313777:employer:multiverse", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 90, "mobile_priority": 1, "ui": { "icon": "Search", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.semantic.employer_name.2acb3544de52cb5411", "query_id": "gq_d53b1e344183fcf53efb", "job_id": "2cd26c34f1782125e7050fbaba313777", "signal_type": "query_match", "display_text": "Employer: semantic match", "tooltip": "Employer provided semantic evidence for your search intent.", "source_binding": "reranker_semantic_evidence", "source_field": "employer_name", "source_value": "Multiverse", "matched_input": "multiverse", "derivation_source": "rerank_result.semantic_evidence", "candidate_evidence_id": null, "rerank_evidence_id": "rerank:b63905098c7c25ab444daa70", "taxonomy_alias_id": null, "oracle_verification_method": "reranker_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": false, "priority": 86, "mobile_priority": 2, "ui": { "icon": "Sparkles", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.employer_name.e300014b8c397a70f7", "query_id": "gq_d53b1e344183fcf53efb", "job_id": "2cd26c34f1782125e7050fbaba313777", "signal_type": "query_match", "display_text": "Employer: \"multiverse\"", "tooltip": "Employer contains \"multiverse\" from your search.", "source_binding": "token_match", "source_field": "employer_name", "source_value": "Multiverse", "matched_input": "multiverse", "derivation_source": "row_field", "candidate_evidence_id": null, "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "row_field_contains", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 80, "mobile_priority": 2, "ui": { "icon": "SearchCheck", "tone": "match", "href": null } } ] }, { "id": "7f2c5e9f930965f3cd6eeab2d96a24ab", "title": "People Operations Architect", "employer_name": "Multiverse", "employer_slug": "multiverse", "location_text": "London, England, UK", "country": "GB", "employment_type": "unknown", "remote_status": "unspecified", "remote_status_source": null, "remote_status_enriched_at": null, "days_in_office": null, "timezone_overlap_hours": 3, "salary_min": null, "salary_max": null, "salary_min_source": null, "salary_max_source": null, "salary_currency": "USD", "salary_type": "unknown", "salary_type_source": null, "salary_type_enriched_at": null, "salary_period": null, "base_salary_min": null, "base_salary_max": null, "salary_disclosed": false, "equity_included": true, "equity_included_source": null, "equity_type": [ "options" ], "k401_match": null, "match_401k_pct": null, "match_401k_pct_source": null, "k401_match_source_url": null, "k401_match_source_fields": [], "k401_contribution_source_url": null, "k401_contribution_source_fields": [], "profit_sharing": false, "bonus_offered": false, "mental_health_support": null, "childcare_subsidy": null, "fertility_family_building_benefits": null, "adoption_assistance_offered": null, "surrogacy_assistance_offered": null, "student_loan_repayment_offered": null, "learning_budget_offered": null, "relocation_assistance": null, "top_startup_sources": [ "cbinsights_unicorn" ], "posted_at": "2026-04-17T15:04:18.748Z", "apply_url": "https://jobs.ashbyhq.com/multiverse/691e54ce-caf2-4648-bb56-48bbd946c5a4", "apply_url_verified": false, "ats": "ashby", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "People Operations Architect London, England, UK Multiverse is the upskilling platform for AI and Tech adoption. We have partnered with 1,500+ companies to deliver a new kind of learning that's transforming today's workforce. Our upskilling apprenticeships are designed for people of any age and career stage to build critical AI, data, and tech skills. Our learners have driven $2bn+ ROI for their employers, using the skills they've learned to improve productivity and measurable performance. In June 2022, we announced a $220 million Series D funding round co-led by StepStone Group, Lightspeed Venture Partners and General Catalyst. With a post-money valuation of $1.7bn, the round makes us the UK's first EdTech unicorn. But we aren't stopping there. With a strong operational footprint and 800+ employees, we have ambitious plans to continue scaling. We're building a world where tech skills unlock people's potential and output. Join Multiverse and power our mission to equip the workforce to win in the AI era. WHY WE'RE HIRING Multiverse's People function is scaling in complexity. As we grow headcount, integrate new geographies, and raise the bar on employee experience, we need a People Operations Architect who can: - Own and continuously evolve our HR technology ecosystem - with HiBob as the cornerstone - Build the operational infrastructure that makes the full employee lifecycle seamless, compliant, and data-driven - Think like a builder - interrogating broken processes and fixing them properly, not patching them - Bring AI and agentic workflow thinking into People Ops - this is", "parental_leave_weeks": null, "non_birth_parent_leave_weeks": null, "parental_leave_weeks_source": null, "non_birth_parent_leave_weeks_source": null, "parental_leave_source_url": null, "pto_days": null, "unlimited_pto": false, "sabbatical_eligible": false, "family_friendly_score": 43, "benefit_verified": false, "benefit_last_verified": null, "hire_states_allowed": [], "state_eligibility_source": null, "state_eligibility_enriched_at": null, "llm_quality_pass_at": null, "seniority": "mid", "years_experience_min": 3, "years_experience_max": 7, "role_function": "engineering", "employer_industry": null, "employer_size": "51-200", "quality_score": 45, "travel_pct": null, "requires_shift": null, "shift_type": "unknown", "shift_type_source": null, "weekend_work": "unknown", "weekend_work_source": null, "relocation_assistance_source": null, "contractor_w2": "unknown", "required_timezone": null, "fertility_family_building_benefits_source": null, "mental_health_support_source": null, "adoption_assistance_offered_source": null, "childcare_subsidy_source": null, "learning_budget_offered_source": null, "surrogacy_assistance_offered_source": null, "cover_letter_required": null, "cover_letter_required_source": null, "assessment_required": null, "assessment_required_source": null, "application_deadline": null, "application_deadline_source": null, "visa_sponsorship": false, "us_citizenship_required": false, "security_clearance": "none", "education_required": "none", "roll_up_count": null, "roll_up_total_locations": null, "explanations": [ { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.description_excerpt.ebfcff2d13330f4680", "query_id": "gq_d53b1e344183fcf53efb", "job_id": "7f2c5e9f930965f3cd6eeab2d96a24ab", "signal_type": "query_match", "display_text": "Description: \"multiverse\"", "tooltip": "Description matched \"multiverse\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "description_excerpt", "source_value": "People Operations Architect London, England, UK Multiverse is the upskilling platform for AI and Tech adoption. We have partnered with 1,500+ companies to deliver a new kind of learning that's transforming today's workforce. Our upskilling apprenticeships are designed for people of any age and career stage to build critical AI, data, and tech skills. Our learners have driven $2bn+ ROI for their employers, using the skills they've learned to improve productivity and measurable performance. In June 2022, we announced a $220 million Series D funding round co-led by StepStone Group, Lightspeed Venture Partners and General Catalyst. With a post-money valuation of $1.7bn, the round makes us the UK's first EdTech unicorn. But we aren't stopping there. With a strong operational footprint and 800+ employees, we have ambitious plans to continue scaling. We're building a world where tech skills unlock people's potential and output. Join Multiverse and power our mission to equip the workforce to win in the AI era. WHY WE'RE HIRING Multiverse's People function is scaling in complexity. As we grow headcount, integrate new geographies, and raise the bar on employee experience, we need a People Operations Architect who can: - Own and continuously evolve our HR technology ecosystem - with HiBob as the cornerstone - Build the operational infrastructure that makes the full employee lifecycle seamless, compliant, and data-driven - Think like a builder - interrogating broken processes and fixing them properly, not patching them - Bring AI and agentic workflow thinking into People Ops - this is", "matched_input": "multiverse", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_d53b1e344183fcf53efb:7f2c5e9f930965f3cd6eeab2d96a24ab:description:multiverse", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 90, "mobile_priority": 1, "ui": { "icon": "Search", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.employer_name.0d24a4b41d4c051aa2", "query_id": "gq_d53b1e344183fcf53efb", "job_id": "7f2c5e9f930965f3cd6eeab2d96a24ab", "signal_type": "query_match", "display_text": "Employer: \"multiverse\"", "tooltip": "Employer matched \"multiverse\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "employer_name", "source_value": "Multiverse", "matched_input": "multiverse", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_d53b1e344183fcf53efb:7f2c5e9f930965f3cd6eeab2d96a24ab:employer:multiverse", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 90, "mobile_priority": 1, "ui": { "icon": "Search", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.semantic.employer_name.ac8da8ca5308c4ab7b", "query_id": "gq_d53b1e344183fcf53efb", "job_id": "7f2c5e9f930965f3cd6eeab2d96a24ab", "signal_type": "query_match", "display_text": "Employer: semantic match", "tooltip": "Employer provided semantic evidence for your search intent.", "source_binding": "reranker_semantic_evidence", "source_field": "employer_name", "source_value": "Multiverse", "matched_input": "multiverse", "derivation_source": "rerank_result.semantic_evidence", "candidate_evidence_id": null, "rerank_evidence_id": "rerank:7843b14cde54db1272829a97", "taxonomy_alias_id": null, "oracle_verification_method": "reranker_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": false, "priority": 86, "mobile_priority": 2, "ui": { "icon": "Sparkles", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.employer_name.e53c6e7300949ee465", "query_id": "gq_d53b1e344183fcf53efb", "job_id": "7f2c5e9f930965f3cd6eeab2d96a24ab", "signal_type": "query_match", "display_text": "Employer: \"multiverse\"", "tooltip": "Employer contains \"multiverse\" from your search.", "source_binding": "token_match", "source_field": "employer_name", "source_value": "Multiverse", "matched_input": "multiverse", "derivation_source": "row_field", "candidate_evidence_id": null, "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "row_field_contains", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 80, "mobile_priority": 2, "ui": { "icon": "SearchCheck", "tone": "match", "href": null } } ] }, { "id": "6eb69477a06772d76c16ee7298257c43", "title": "Data Portfolio Lead", "employer_name": "Multiverse", "employer_slug": "multiverse", "location_text": "London, England, UK", "country": "GB", "employment_type": "unknown", "remote_status": "unspecified", "remote_status_source": null, "remote_status_enriched_at": null, "days_in_office": null, "timezone_overlap_hours": 3, "salary_min": null, "salary_max": null, "salary_min_source": null, "salary_max_source": null, "salary_currency": "USD", "salary_type": "unknown", "salary_type_source": null, "salary_type_enriched_at": null, "salary_period": null, "base_salary_min": null, "base_salary_max": null, "salary_disclosed": false, "equity_included": true, "equity_included_source": null, "equity_type": [ "options" ], "k401_match": null, "match_401k_pct": null, "match_401k_pct_source": null, "k401_match_source_url": null, "k401_match_source_fields": [], "k401_contribution_source_url": null, "k401_contribution_source_fields": [], "profit_sharing": false, "bonus_offered": false, "mental_health_support": null, "childcare_subsidy": null, "fertility_family_building_benefits": null, "adoption_assistance_offered": null, "surrogacy_assistance_offered": null, "student_loan_repayment_offered": null, "learning_budget_offered": null, "relocation_assistance": null, "top_startup_sources": [ "cbinsights_unicorn" ], "posted_at": "2026-03-10T16:28:48.114Z", "apply_url": "https://jobs.ashbyhq.com/multiverse/3b1b7262-fa14-4be1-b69b-44535886ac86", "apply_url_verified": false, "ats": "ashby", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Data Portfolio Lead London, England, UK Multiverse is the upskilling platform for AI and Tech adoption. We have partnered with 1,500+ companies to deliver a new kind of learning that's transforming today's workforce. Our upskilling apprenticeships are designed for people of any age and career stage to build critical AI, data, and tech skills. Our learners have driven $2bn+ ROI for their employers, using the skills they've learned to improve productivity and measurable performance. In June 2022, we announced a $220 million Series D funding round co-led by StepStone Group, Lightspeed Venture Partners and General Catalyst. With a post-money valuation of $1.7bn, the round makes us the UK's first EdTech unicorn. But we aren't stopping there. With a strong operational footprint and 800+ employees, we have ambitious plans to continue scaling. We're building a world where tech skills unlock people's potential and output. Join Multiverse and power our mission to equip the workforce to win in the AI era. The Portfolio Lead curates a world-class UK apprenticeship product set focused on Data upskilling. Working as one of two dedicated leads within our Data vertical, you are a data-literate strategist who isn't shy about your passion for how data literacy, machine learning and advanced analytics are reshaping the workforce. You have a deep understanding of the data tooling market, both now and how it will continue to evolve. Practically, you will own the roadmap and key performance metrics for a set of products, proactively scoping new UK releases to grow bookings", "parental_leave_weeks": null, "non_birth_parent_leave_weeks": null, "parental_leave_weeks_source": null, "non_birth_parent_leave_weeks_source": null, "parental_leave_source_url": null, "pto_days": null, "unlimited_pto": false, "sabbatical_eligible": false, "family_friendly_score": 43, "benefit_verified": false, "benefit_last_verified": null, "hire_states_allowed": [], "state_eligibility_source": null, "state_eligibility_enriched_at": null, "llm_quality_pass_at": null, "seniority": "senior", "years_experience_min": 5, "years_experience_max": 9, "role_function": "data", "employer_industry": null, "employer_size": "51-200", "quality_score": 45, "travel_pct": null, "requires_shift": null, "shift_type": "unknown", "shift_type_source": null, "weekend_work": "unknown", "weekend_work_source": null, "relocation_assistance_source": null, "contractor_w2": "unknown", "required_timezone": null, "fertility_family_building_benefits_source": null, "mental_health_support_source": null, "adoption_assistance_offered_source": null, "childcare_subsidy_source": null, "learning_budget_offered_source": null, "surrogacy_assistance_offered_source": null, "cover_letter_required": null, "cover_letter_required_source": null, "assessment_required": null, "assessment_required_source": null, "application_deadline": null, "application_deadline_source": null, "visa_sponsorship": false, "us_citizenship_required": false, "security_clearance": "none", "education_required": "none", "roll_up_count": null, "roll_up_total_locations": null, "explanations": [ { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.description_excerpt.e693071e84bc0dc6de", "query_id": "gq_d53b1e344183fcf53efb", "job_id": "6eb69477a06772d76c16ee7298257c43", "signal_type": "query_match", "display_text": "Description: \"multiverse\"", "tooltip": "Description matched \"multiverse\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "description_excerpt", "source_value": "Data Portfolio Lead London, England, UK Multiverse is the upskilling platform for AI and Tech adoption. We have partnered with 1,500+ companies to deliver a new kind of learning that's transforming today's workforce. Our upskilling apprenticeships are designed for people of any age and career stage to build critical AI, data, and tech skills. Our learners have driven $2bn+ ROI for their employers, using the skills they've learned to improve productivity and measurable performance. In June 2022, we announced a $220 million Series D funding round co-led by StepStone Group, Lightspeed Venture Partners and General Catalyst. With a post-money valuation of $1.7bn, the round makes us the UK's first EdTech unicorn. But we aren't stopping there. With a strong operational footprint and 800+ employees, we have ambitious plans to continue scaling. We're building a world where tech skills unlock people's potential and output. Join Multiverse and power our mission to equip the workforce to win in the AI era. The Portfolio Lead curates a world-class UK apprenticeship product set focused on Data upskilling. Working as one of two dedicated leads within our Data vertical, you are a data-literate strategist who isn't shy about your passion for how data literacy, machine learning and advanced analytics are reshaping the workforce. You have a deep understanding of the data tooling market, both now and how it will continue to evolve. Practically, you will own the roadmap and key performance metrics for a set of products, proactively scoping new UK releases to grow bookings", "matched_input": "multiverse", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_d53b1e344183fcf53efb:6eb69477a06772d76c16ee7298257c43:description:multiverse", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 90, "mobile_priority": 1, "ui": { "icon": "Search", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.employer_name.4a5fada028bdd0cc91", "query_id": "gq_d53b1e344183fcf53efb", "job_id": "6eb69477a06772d76c16ee7298257c43", "signal_type": "query_match", "display_text": "Employer: \"multiverse\"", "tooltip": "Employer matched \"multiverse\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "employer_name", "source_value": "Multiverse", "matched_input": "multiverse", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_d53b1e344183fcf53efb:6eb69477a06772d76c16ee7298257c43:employer:multiverse", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 90, "mobile_priority": 1, "ui": { "icon": "Search", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.semantic.employer_name.7d0b44a25c7ce2c317", "query_id": "gq_d53b1e344183fcf53efb", "job_id": "6eb69477a06772d76c16ee7298257c43", "signal_type": "query_match", "display_text": "Employer: semantic match", "tooltip": "Employer provided semantic evidence for your search intent.", "source_binding": "reranker_semantic_evidence", "source_field": "employer_name", "source_value": "Multiverse", "matched_input": "multiverse", "derivation_source": "rerank_result.semantic_evidence", "candidate_evidence_id": null, "rerank_evidence_id": "rerank:759f742cef092f7f08148654", "taxonomy_alias_id": null, "oracle_verification_method": "reranker_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": false, "priority": 86, "mobile_priority": 2, "ui": { "icon": "Sparkles", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.employer_name.4a480c37a39e236895", "query_id": "gq_d53b1e344183fcf53efb", "job_id": "6eb69477a06772d76c16ee7298257c43", "signal_type": "query_match", "display_text": "Employer: \"multiverse\"", "tooltip": "Employer contains \"multiverse\" from your search.", "source_binding": "token_match", "source_field": "employer_name", "source_value": "Multiverse", "matched_input": "multiverse", "derivation_source": "row_field", "candidate_evidence_id": null, "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "row_field_contains", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 80, "mobile_priority": 2, "ui": { "icon": "SearchCheck", "tone": "match", "href": null } } ] }, { "id": "87620ad392142ab5c29680b07058a174", "title": "Enterprise Customer Value Partner", "employer_name": "Multiverse", "employer_slug": "multiverse", "location_text": "London, England, UK", "country": "GB", "employment_type": "contract", "remote_status": "unspecified", "remote_status_source": null, "remote_status_enriched_at": null, "days_in_office": null, "timezone_overlap_hours": 3, "salary_min": null, "salary_max": null, "salary_min_source": null, "salary_max_source": null, "salary_currency": "USD", "salary_type": "unknown", "salary_type_source": null, "salary_type_enriched_at": null, "salary_period": null, "base_salary_min": null, "base_salary_max": null, "salary_disclosed": false, "equity_included": true, "equity_included_source": null, "equity_type": [ "options" ], "k401_match": null, "match_401k_pct": null, "match_401k_pct_source": null, "k401_match_source_url": null, "k401_match_source_fields": [], "k401_contribution_source_url": null, "k401_contribution_source_fields": [], "profit_sharing": false, "bonus_offered": false, "mental_health_support": null, "childcare_subsidy": null, "fertility_family_building_benefits": null, "adoption_assistance_offered": null, "surrogacy_assistance_offered": null, "student_loan_repayment_offered": null, "learning_budget_offered": null, "relocation_assistance": null, "top_startup_sources": [ "cbinsights_unicorn" ], "posted_at": "2026-05-18T12:29:22.092Z", "apply_url": "https://jobs.ashbyhq.com/multiverse/1b808a4f-28e2-4f1c-ad82-658d41ce9c97", "apply_url_verified": false, "ats": "ashby", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Enterprise Customer Value Partner London, England, UK Multiverse is the upskilling platform for AI and Tech adoption. We have partnered with 1,500+ companies to deliver a new kind of learning that's transforming today's workforce. Our upskilling apprenticeships are designed for people of any age and career stage to build critical AI, data, and tech skills. Our learners have driven $2bn+ ROI for their employers, using the skills they've learned to improve productivity and measurable performance. In June 2022, we announced a $220 million Series D funding round co-led by StepStone Group, Lightspeed Venture Partners and General Catalyst. With a post-money valuation of $1.7bn, the round makes us the UK's first EdTech unicorn. But we aren't stopping there. With a strong operational footprint and 800+ employees, we have ambitious plans to continue scaling. We're building a world where tech skills unlock people's potential and output. Join Multiverse and power our mission to equip the workforce to win in the AI era. At Multiverse, we are building a tech-first institution that combines work and learning to close the critical skills gap. The Customer Value Partner (CVP) is the primary architect of this transformation. In the Enterprise segment, you are the single point of accountability for our customers from the moment a contract is signed. You will lead the end-to-end journey - ensuring every launch is flawless, every program delivers measurable business impact, and every partnership has a clear, data-backed roadmap for expansion. This is a role for an operator who is as", "parental_leave_weeks": null, "non_birth_parent_leave_weeks": null, "parental_leave_weeks_source": null, "non_birth_parent_leave_weeks_source": null, "parental_leave_source_url": null, "pto_days": null, "unlimited_pto": false, "sabbatical_eligible": false, "family_friendly_score": 43, "benefit_verified": false, "benefit_last_verified": null, "hire_states_allowed": [], "state_eligibility_source": null, "state_eligibility_enriched_at": null, "llm_quality_pass_at": null, "seniority": "senior", "years_experience_min": 3, "years_experience_max": 7, "role_function": "sales", "employer_industry": null, "employer_size": "51-200", "quality_score": 45, "travel_pct": null, "requires_shift": null, "shift_type": "unknown", "shift_type_source": null, "weekend_work": "unknown", "weekend_work_source": null, "relocation_assistance_source": null, "contractor_w2": "unknown", "required_timezone": null, "fertility_family_building_benefits_source": null, "mental_health_support_source": null, "adoption_assistance_offered_source": null, "childcare_subsidy_source": null, "learning_budget_offered_source": null, "surrogacy_assistance_offered_source": null, "cover_letter_required": null, "cover_letter_required_source": null, "assessment_required": null, "assessment_required_source": null, "application_deadline": null, "application_deadline_source": null, "visa_sponsorship": false, "us_citizenship_required": false, "security_clearance": "none", "education_required": "none", "roll_up_count": null, "roll_up_total_locations": null, "explanations": [ { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.description_excerpt.9bd48480bde586a6af", "query_id": "gq_d53b1e344183fcf53efb", "job_id": "87620ad392142ab5c29680b07058a174", "signal_type": "query_match", "display_text": "Description: \"multiverse\"", "tooltip": "Description matched \"multiverse\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "description_excerpt", "source_value": "Enterprise Customer Value Partner London, England, UK Multiverse is the upskilling platform for AI and Tech adoption. We have partnered with 1,500+ companies to deliver a new kind of learning that's transforming today's workforce. Our upskilling apprenticeships are designed for people of any age and career stage to build critical AI, data, and tech skills. Our learners have driven $2bn+ ROI for their employers, using the skills they've learned to improve productivity and measurable performance. In June 2022, we announced a $220 million Series D funding round co-led by StepStone Group, Lightspeed Venture Partners and General Catalyst. With a post-money valuation of $1.7bn, the round makes us the UK's first EdTech unicorn. But we aren't stopping there. With a strong operational footprint and 800+ employees, we have ambitious plans to continue scaling. We're building a world where tech skills unlock people's potential and output. Join Multiverse and power our mission to equip the workforce to win in the AI era. At Multiverse, we are building a tech-first institution that combines work and learning to close the critical skills gap. The Customer Value Partner (CVP) is the primary architect of this transformation. In the Enterprise segment, you are the single point of accountability for our customers from the moment a contract is signed. You will lead the end-to-end journey - ensuring every launch is flawless, every program delivers measurable business impact, and every partnership has a clear, data-backed roadmap for expansion. This is a role for an operator who is as", "matched_input": "multiverse", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_d53b1e344183fcf53efb:87620ad392142ab5c29680b07058a174:description:multiverse", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 90, "mobile_priority": 1, "ui": { "icon": "Search", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.employer_name.e2e14e58e1142a201e", "query_id": "gq_d53b1e344183fcf53efb", "job_id": "87620ad392142ab5c29680b07058a174", "signal_type": "query_match", "display_text": "Employer: \"multiverse\"", "tooltip": "Employer matched \"multiverse\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "employer_name", "source_value": "Multiverse", "matched_input": "multiverse", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_d53b1e344183fcf53efb:87620ad392142ab5c29680b07058a174:employer:multiverse", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 90, "mobile_priority": 1, "ui": { "icon": "Search", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.semantic.employer_name.12e5bd61f1d7c72901", "query_id": "gq_d53b1e344183fcf53efb", "job_id": "87620ad392142ab5c29680b07058a174", "signal_type": "query_match", "display_text": "Employer: semantic match", "tooltip": "Employer provided semantic evidence for your search intent.", "source_binding": "reranker_semantic_evidence", "source_field": "employer_name", "source_value": "Multiverse", "matched_input": "multiverse", "derivation_source": "rerank_result.semantic_evidence", "candidate_evidence_id": null, "rerank_evidence_id": "rerank:5253effa4b2dc63d35a3f48c", "taxonomy_alias_id": null, "oracle_verification_method": "reranker_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": false, "priority": 86, "mobile_priority": 2, "ui": { "icon": "Sparkles", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.employer_name.6b0b373ab6f4638875", "query_id": "gq_d53b1e344183fcf53efb", "job_id": "87620ad392142ab5c29680b07058a174", "signal_type": "query_match", "display_text": "Employer: \"multiverse\"", "tooltip": "Employer contains \"multiverse\" from your search.", "source_binding": "token_match", "source_field": "employer_name", "source_value": "Multiverse", "matched_input": "multiverse", "derivation_source": "row_field", "candidate_evidence_id": null, "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "row_field_contains", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 80, "mobile_priority": 2, "ui": { "icon": "SearchCheck", "tone": "match", "href": null } } ] }, { "id": "21075c5275658cbb994a55983f426f19", "title": "Instructor in DevOps", "employer_name": "Multiverse", "employer_slug": "multiverse", "location_text": "London, England, UK", "country": "GB", "employment_type": "unknown", "remote_status": "unspecified", "remote_status_source": null, "remote_status_enriched_at": null, "days_in_office": null, "timezone_overlap_hours": 3, "salary_min": null, "salary_max": null, "salary_min_source": null, "salary_max_source": null, "salary_currency": "USD", "salary_type": "unknown", "salary_type_source": null, "salary_type_enriched_at": null, "salary_period": null, "base_salary_min": null, "base_salary_max": null, "salary_disclosed": false, "equity_included": true, "equity_included_source": null, "equity_type": [ "options" ], "k401_match": null, "match_401k_pct": null, "match_401k_pct_source": null, "k401_match_source_url": null, "k401_match_source_fields": [], "k401_contribution_source_url": null, "k401_contribution_source_fields": [], "profit_sharing": false, "bonus_offered": false, "mental_health_support": null, "childcare_subsidy": null, "fertility_family_building_benefits": null, "adoption_assistance_offered": null, "surrogacy_assistance_offered": null, "student_loan_repayment_offered": null, "learning_budget_offered": null, "relocation_assistance": null, "top_startup_sources": [ "cbinsights_unicorn" ], "posted_at": "2026-03-12T07:16:51.742Z", "apply_url": "https://jobs.ashbyhq.com/multiverse/dc844208-7c9f-4404-80a1-07478ca157d2", "apply_url_verified": false, "ats": "ashby", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Instructor in DevOps London, England, UK Multiverse is the upskilling platform for AI and Tech adoption. We have partnered with 1,500+ companies to deliver a new kind of learning that's transforming today's workforce. Our upskilling apprenticeships are designed for people of any age and career stage to build critical AI, data, and tech skills. Our learners have driven $2bn+ ROI for their employers, using the skills they've learned to improve productivity and measurable performance. In June 2022, we announced a $220 million Series D funding round co-led by StepStone Group, Lightspeed Venture Partners and General Catalyst. With a post-money valuation of $1.7bn, the round makes us the UK's first EdTech unicorn. But we aren't stopping there. With a strong operational footprint and 800+ employees, we have ambitious plans to continue scaling. We're building a world where tech skills unlock people's potential and output. Join Multiverse and power our mission to equip the workforce to win in the AI era. The Opportunity (Please only apply if you have experience in training / teaching / coaching online in DevOps) As an instructor, you will be responsible for the delivery of our technical content across our Level 4 DevOps apprenticeship programme . You'll support our apprentices in growing their understanding of how to implement continuous integration, continuous delivery, and robust infrastructure solutions through workshops and drop-in sessions. You will help apprentices develop knowledge relating to the appropriate KSBs throughout their programme. The Multiverse delivery team is a diverse mix of industry experts, educators,", "parental_leave_weeks": null, "non_birth_parent_leave_weeks": null, "parental_leave_weeks_source": null, "non_birth_parent_leave_weeks_source": null, "parental_leave_source_url": null, "pto_days": null, "unlimited_pto": false, "sabbatical_eligible": false, "family_friendly_score": 43, "benefit_verified": false, "benefit_last_verified": null, "hire_states_allowed": [], "state_eligibility_source": null, "state_eligibility_enriched_at": null, "llm_quality_pass_at": null, "seniority": "mid", "years_experience_min": 2, "years_experience_max": 6, "role_function": "teaching_education", "employer_industry": null, "employer_size": "51-200", "quality_score": 45, "travel_pct": null, "requires_shift": null, "shift_type": "unknown", "shift_type_source": null, "weekend_work": "unknown", "weekend_work_source": null, "relocation_assistance_source": null, "contractor_w2": "unknown", "required_timezone": null, "fertility_family_building_benefits_source": null, "mental_health_support_source": null, "adoption_assistance_offered_source": null, "childcare_subsidy_source": null, "learning_budget_offered_source": null, "surrogacy_assistance_offered_source": null, "cover_letter_required": null, "cover_letter_required_source": null, "assessment_required": null, "assessment_required_source": null, "application_deadline": null, "application_deadline_source": null, "visa_sponsorship": false, "us_citizenship_required": false, "security_clearance": "none", "education_required": "masters", "roll_up_count": null, "roll_up_total_locations": null, "explanations": [ { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.description_excerpt.9ba5fc562c0a9104d6", "query_id": "gq_d53b1e344183fcf53efb", "job_id": "21075c5275658cbb994a55983f426f19", "signal_type": "query_match", "display_text": "Description: \"multiverse\"", "tooltip": "Description matched \"multiverse\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "description_excerpt", "source_value": "Instructor in DevOps London, England, UK Multiverse is the upskilling platform for AI and Tech adoption. We have partnered with 1,500+ companies to deliver a new kind of learning that's transforming today's workforce. Our upskilling apprenticeships are designed for people of any age and career stage to build critical AI, data, and tech skills. Our learners have driven $2bn+ ROI for their employers, using the skills they've learned to improve productivity and measurable performance. In June 2022, we announced a $220 million Series D funding round co-led by StepStone Group, Lightspeed Venture Partners and General Catalyst. With a post-money valuation of $1.7bn, the round makes us the UK's first EdTech unicorn. But we aren't stopping there. With a strong operational footprint and 800+ employees, we have ambitious plans to continue scaling. We're building a world where tech skills unlock people's potential and output. Join Multiverse and power our mission to equip the workforce to win in the AI era. The Opportunity (Please only apply if you have experience in training / teaching / coaching online in DevOps) As an instructor, you will be responsible for the delivery of our technical content across our Level 4 DevOps apprenticeship programme . You'll support our apprentices in growing their understanding of how to implement continuous integration, continuous delivery, and robust infrastructure solutions through workshops and drop-in sessions. You will help apprentices develop knowledge relating to the appropriate KSBs throughout their programme. The Multiverse delivery team is a diverse mix of industry experts, educators,", "matched_input": "multiverse", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_d53b1e344183fcf53efb:21075c5275658cbb994a55983f426f19:description:multiverse", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 90, "mobile_priority": 1, "ui": { "icon": "Search", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.employer_name.9e246735984d760447", "query_id": "gq_d53b1e344183fcf53efb", "job_id": "21075c5275658cbb994a55983f426f19", "signal_type": "query_match", "display_text": "Employer: \"multiverse\"", "tooltip": "Employer matched \"multiverse\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "employer_name", "source_value": "Multiverse", "matched_input": "multiverse", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_d53b1e344183fcf53efb:21075c5275658cbb994a55983f426f19:employer:multiverse", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 90, "mobile_priority": 1, "ui": { "icon": "Search", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.semantic.employer_name.3ff1ab99644e29a9a8", "query_id": "gq_d53b1e344183fcf53efb", "job_id": "21075c5275658cbb994a55983f426f19", "signal_type": "query_match", "display_text": "Employer: semantic match", "tooltip": "Employer provided semantic evidence for your search intent.", "source_binding": "reranker_semantic_evidence", "source_field": "employer_name", "source_value": "Multiverse", "matched_input": "multiverse", "derivation_source": "rerank_result.semantic_evidence", "candidate_evidence_id": null, "rerank_evidence_id": "rerank:79ad9d992c82fa01424898f1", "taxonomy_alias_id": null, "oracle_verification_method": "reranker_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": false, "priority": 86, "mobile_priority": 2, "ui": { "icon": "Sparkles", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.employer_name.d4435156a059ad254b", "query_id": "gq_d53b1e344183fcf53efb", "job_id": "21075c5275658cbb994a55983f426f19", "signal_type": "query_match", "display_text": "Employer: \"multiverse\"", "tooltip": "Employer contains \"multiverse\" from your search.", "source_binding": "token_match", "source_field": "employer_name", "source_value": "Multiverse", "matched_input": "multiverse", "derivation_source": "row_field", "candidate_evidence_id": null, "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "row_field_contains", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 80, "mobile_priority": 2, "ui": { "icon": "SearchCheck", "tone": "match", "href": null } } ] }, { "id": "8900375c50bebddade1128c2818c9e9e", "title": "Digital Comms & Content Manager", "employer_name": "Multiverse", "employer_slug": "multiverse", "location_text": "London, England, UK", "country": "GB", "employment_type": "unknown", "remote_status": "unspecified", "remote_status_source": null, "remote_status_enriched_at": null, "days_in_office": null, "timezone_overlap_hours": 3, "salary_min": null, "salary_max": null, "salary_min_source": null, "salary_max_source": null, "salary_currency": "USD", "salary_type": "unknown", "salary_type_source": null, "salary_type_enriched_at": null, "salary_period": null, "base_salary_min": null, "base_salary_max": null, "salary_disclosed": false, "equity_included": true, "equity_included_source": null, "equity_type": [ "options" ], "k401_match": null, "match_401k_pct": null, "match_401k_pct_source": null, "k401_match_source_url": null, "k401_match_source_fields": [], "k401_contribution_source_url": null, "k401_contribution_source_fields": [], "profit_sharing": false, "bonus_offered": false, "mental_health_support": null, "childcare_subsidy": null, "fertility_family_building_benefits": null, "adoption_assistance_offered": null, "surrogacy_assistance_offered": null, "student_loan_repayment_offered": null, "learning_budget_offered": null, "relocation_assistance": null, "top_startup_sources": [ "cbinsights_unicorn" ], "posted_at": "2026-06-08T14:32:25.735Z", "apply_url": "https://jobs.ashbyhq.com/multiverse/1e9520a5-44c6-4fcd-8e19-b14cfd1c7d0d", "apply_url_verified": false, "ats": "ashby", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Digital Comms & Content Manager London, England, UK Multiverse is the upskilling platform for AI and Tech adoption. We have partnered with 1,500+ companies to deliver a new kind of learning that's transforming today's workforce. Our upskilling apprenticeships are designed for people of any age and career stage to build critical AI, data, and tech skills. Our learners have driven $2bn+ ROI for their employers, using the skills they've learned to improve productivity and measurable performance. In June 2022, we announced a $220 million Series D funding round co-led by StepStone Group, Lightspeed Venture Partners and General Catalyst. With a post-money valuation of $1.7bn, the round makes us the UK's first EdTech unicorn. But we aren't stopping there. With a strong operational footprint and 800+ employees, we have ambitious plans to continue scaling. We're building a world where tech skills unlock people's potential and output. Join Multiverse and power our mission to equip the workforce to win in the AI era. The Opportunity As our Digital Comms & Content Manager, you'll own how Multiverse shows up online - across social, search, and the fast-emerging landscape of AI-generated information. That means building a consistent drumbeat of content that tells real learner and employer stories, leading our SEO and AEO strategy, and making sure that when someone searches for Multiverse - or asks an AI about us - they find an accurate picture of the quality of what we do. This isn't a scheduling role. You'll build the strategy, own the channels,", "parental_leave_weeks": null, "non_birth_parent_leave_weeks": null, "parental_leave_weeks_source": null, "non_birth_parent_leave_weeks_source": null, "parental_leave_source_url": null, "pto_days": null, "unlimited_pto": false, "sabbatical_eligible": false, "family_friendly_score": 43, "benefit_verified": false, "benefit_last_verified": null, "hire_states_allowed": [], "state_eligibility_source": null, "state_eligibility_enriched_at": null, "llm_quality_pass_at": null, "seniority": "senior", "years_experience_min": 5, "years_experience_max": 9, "role_function": "marketing", "employer_industry": null, "employer_size": "51-200", "quality_score": 45, "travel_pct": 60, "requires_shift": null, "shift_type": "unknown", "shift_type_source": null, "weekend_work": "unknown", "weekend_work_source": null, "relocation_assistance_source": null, "contractor_w2": "unknown", "required_timezone": null, "fertility_family_building_benefits_source": null, "mental_health_support_source": null, "adoption_assistance_offered_source": null, "childcare_subsidy_source": null, "learning_budget_offered_source": null, "surrogacy_assistance_offered_source": null, "cover_letter_required": null, "cover_letter_required_source": null, "assessment_required": null, "assessment_required_source": null, "application_deadline": null, "application_deadline_source": null, "visa_sponsorship": false, "us_citizenship_required": false, "security_clearance": "none", "education_required": "none", "roll_up_count": null, "roll_up_total_locations": null, "explanations": [ { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.description_excerpt.8c50890fa79eb37d3b", "query_id": "gq_d53b1e344183fcf53efb", "job_id": "8900375c50bebddade1128c2818c9e9e", "signal_type": "query_match", "display_text": "Description: \"multiverse\"", "tooltip": "Description matched \"multiverse\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "description_excerpt", "source_value": "Digital Comms & Content Manager London, England, UK Multiverse is the upskilling platform for AI and Tech adoption. We have partnered with 1,500+ companies to deliver a new kind of learning that's transforming today's workforce. Our upskilling apprenticeships are designed for people of any age and career stage to build critical AI, data, and tech skills. Our learners have driven $2bn+ ROI for their employers, using the skills they've learned to improve productivity and measurable performance. In June 2022, we announced a $220 million Series D funding round co-led by StepStone Group, Lightspeed Venture Partners and General Catalyst. With a post-money valuation of $1.7bn, the round makes us the UK's first EdTech unicorn. But we aren't stopping there. With a strong operational footprint and 800+ employees, we have ambitious plans to continue scaling. We're building a world where tech skills unlock people's potential and output. Join Multiverse and power our mission to equip the workforce to win in the AI era. The Opportunity As our Digital Comms & Content Manager, you'll own how Multiverse shows up online - across social, search, and the fast-emerging landscape of AI-generated information. That means building a consistent drumbeat of content that tells real learner and employer stories, leading our SEO and AEO strategy, and making sure that when someone searches for Multiverse - or asks an AI about us - they find an accurate picture of the quality of what we do. This isn't a scheduling role. You'll build the strategy, own the channels,", "matched_input": "multiverse", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_d53b1e344183fcf53efb:8900375c50bebddade1128c2818c9e9e:description:multiverse", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 90, "mobile_priority": 1, "ui": { "icon": "Search", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.employer_name.0d2e82b1c079a9cb45", "query_id": "gq_d53b1e344183fcf53efb", "job_id": "8900375c50bebddade1128c2818c9e9e", "signal_type": "query_match", "display_text": "Employer: \"multiverse\"", "tooltip": "Employer matched \"multiverse\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "employer_name", "source_value": "Multiverse", "matched_input": "multiverse", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_d53b1e344183fcf53efb:8900375c50bebddade1128c2818c9e9e:employer:multiverse", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 90, "mobile_priority": 1, "ui": { "icon": "Search", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.semantic.employer_name.81666f55c3036f5512", "query_id": "gq_d53b1e344183fcf53efb", "job_id": "8900375c50bebddade1128c2818c9e9e", "signal_type": "query_match", "display_text": "Employer: semantic match", "tooltip": "Employer provided semantic evidence for your search intent.", "source_binding": "reranker_semantic_evidence", "source_field": "employer_name", "source_value": "Multiverse", "matched_input": "multiverse", "derivation_source": "rerank_result.semantic_evidence", "candidate_evidence_id": null, "rerank_evidence_id": "rerank:a764aa0d01aef76b96d7825d", "taxonomy_alias_id": null, "oracle_verification_method": "reranker_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": false, "priority": 86, "mobile_priority": 2, "ui": { "icon": "Sparkles", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.employer_name.06dddfd6c76396dfec", "query_id": "gq_d53b1e344183fcf53efb", "job_id": "8900375c50bebddade1128c2818c9e9e", "signal_type": "query_match", "display_text": "Employer: \"multiverse\"", "tooltip": "Employer contains \"multiverse\" from your search.", "source_binding": "token_match", "source_field": "employer_name", "source_value": "Multiverse", "matched_input": "multiverse", "derivation_source": "row_field", "candidate_evidence_id": null, "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "row_field_contains", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 80, "mobile_priority": 2, "ui": { "icon": "SearchCheck", "tone": "match", "href": null } } ] }, { "id": "8fdda008f9ce7c32a09c6e50e63646e0", "title": "Director, Coach Platform", "employer_name": "Multiverse", "employer_slug": "multiverse", "location_text": "London, England, UK", "country": "GB", "employment_type": "unknown", "remote_status": "unspecified", "remote_status_source": null, "remote_status_enriched_at": null, "days_in_office": null, "timezone_overlap_hours": 3, "salary_min": null, "salary_max": null, "salary_min_source": null, "salary_max_source": null, "salary_currency": "USD", "salary_type": "unknown", "salary_type_source": null, "salary_type_enriched_at": null, "salary_period": null, "base_salary_min": null, "base_salary_max": null, "salary_disclosed": false, "equity_included": true, "equity_included_source": null, "equity_type": [ "options" ], "k401_match": null, "match_401k_pct": null, "match_401k_pct_source": null, "k401_match_source_url": null, "k401_match_source_fields": [], "k401_contribution_source_url": null, "k401_contribution_source_fields": [], "profit_sharing": false, "bonus_offered": true, "mental_health_support": null, "childcare_subsidy": null, "fertility_family_building_benefits": null, "adoption_assistance_offered": null, "surrogacy_assistance_offered": null, "student_loan_repayment_offered": null, "learning_budget_offered": null, "relocation_assistance": null, "top_startup_sources": [ "cbinsights_unicorn" ], "posted_at": "2026-05-21T14:25:05.639Z", "apply_url": "https://jobs.ashbyhq.com/multiverse/5bb39759-3729-4a64-9d90-b3f7c70a0a45", "apply_url_verified": false, "ats": "ashby", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Director, Coach Platform London, England, UK Multiverse is the upskilling platform for AI and Tech adoption. We have partnered with 1,500+ companies to deliver a new kind of learning that's transforming today's workforce. Our upskilling apprenticeships are designed for people of any age and career stage to build critical AI, data, and tech skills. Our learners have driven $2bn+ ROI for their employers, using the skills they've learned to improve productivity and measurable performance. In June 2022, we announced a $220 million Series D funding round co-led by StepStone Group, Lightspeed Venture Partners and General Catalyst. With a post-money valuation of $1.7bn, the round makes us the UK's first EdTech unicorn. But we aren't stopping there. With a strong operational footprint and 800+ employees, we have ambitious plans to continue scaling. We're building a world where tech skills unlock people's potential and output. Join Multiverse and power our mission to equip the workforce to win in the AI era. The Opportunity Multiverse is evolving from a services-led organisation into an AI-first, platform-led workforce transformation company. Our 200+ coaches and instructors are the heart of the Multiverse experience. To scale to $1bn+ in bookings, we need to stop our coaches from fighting our systems and empower them to focus on learner impact and value creation. Sidekick is our proprietary Retool-based platform designed to eliminate the admin burden, information overload, and data fragmentation currently facing our coaching teams. Today it is a collection of useful tools built through reactive heroics. We need", "parental_leave_weeks": null, "non_birth_parent_leave_weeks": null, "parental_leave_weeks_source": null, "non_birth_parent_leave_weeks_source": null, "parental_leave_source_url": null, "pto_days": null, "unlimited_pto": false, "sabbatical_eligible": false, "family_friendly_score": 43, "benefit_verified": false, "benefit_last_verified": null, "hire_states_allowed": [], "state_eligibility_source": null, "state_eligibility_enriched_at": null, "llm_quality_pass_at": null, "seniority": "staff_plus", "years_experience_min": 9, "years_experience_max": null, "role_function": "operations", "employer_industry": null, "employer_size": "51-200", "quality_score": 45, "travel_pct": null, "requires_shift": null, "shift_type": "unknown", "shift_type_source": null, "weekend_work": "unknown", "weekend_work_source": null, "relocation_assistance_source": null, "contractor_w2": "unknown", "required_timezone": null, "fertility_family_building_benefits_source": null, "mental_health_support_source": null, "adoption_assistance_offered_source": null, "childcare_subsidy_source": null, "learning_budget_offered_source": null, "surrogacy_assistance_offered_source": null, "cover_letter_required": null, "cover_letter_required_source": null, "assessment_required": null, "assessment_required_source": null, "application_deadline": null, "application_deadline_source": null, "visa_sponsorship": false, "us_citizenship_required": false, "security_clearance": "none", "education_required": "none", "roll_up_count": null, "roll_up_total_locations": null, "explanations": [ { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.description_excerpt.a7a1ce7bb096b40d1f", "query_id": "gq_d53b1e344183fcf53efb", "job_id": "8fdda008f9ce7c32a09c6e50e63646e0", "signal_type": "query_match", "display_text": "Description: \"multiverse\"", "tooltip": "Description matched \"multiverse\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "description_excerpt", "source_value": "Director, Coach Platform London, England, UK Multiverse is the upskilling platform for AI and Tech adoption. We have partnered with 1,500+ companies to deliver a new kind of learning that's transforming today's workforce. Our upskilling apprenticeships are designed for people of any age and career stage to build critical AI, data, and tech skills. Our learners have driven $2bn+ ROI for their employers, using the skills they've learned to improve productivity and measurable performance. In June 2022, we announced a $220 million Series D funding round co-led by StepStone Group, Lightspeed Venture Partners and General Catalyst. With a post-money valuation of $1.7bn, the round makes us the UK's first EdTech unicorn. But we aren't stopping there. With a strong operational footprint and 800+ employees, we have ambitious plans to continue scaling. We're building a world where tech skills unlock people's potential and output. Join Multiverse and power our mission to equip the workforce to win in the AI era. The Opportunity Multiverse is evolving from a services-led organisation into an AI-first, platform-led workforce transformation company. Our 200+ coaches and instructors are the heart of the Multiverse experience. To scale to $1bn+ in bookings, we need to stop our coaches from fighting our systems and empower them to focus on learner impact and value creation. Sidekick is our proprietary Retool-based platform designed to eliminate the admin burden, information overload, and data fragmentation currently facing our coaching teams. Today it is a collection of useful tools built through reactive heroics. We need", "matched_input": "multiverse", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_d53b1e344183fcf53efb:8fdda008f9ce7c32a09c6e50e63646e0:description:multiverse", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 90, "mobile_priority": 1, "ui": { "icon": "Search", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.employer_name.4e347456d7f4b22220", "query_id": "gq_d53b1e344183fcf53efb", "job_id": "8fdda008f9ce7c32a09c6e50e63646e0", "signal_type": "query_match", "display_text": "Employer: \"multiverse\"", "tooltip": "Employer matched \"multiverse\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "employer_name", "source_value": "Multiverse", "matched_input": "multiverse", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_d53b1e344183fcf53efb:8fdda008f9ce7c32a09c6e50e63646e0:employer:multiverse", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 90, "mobile_priority": 1, "ui": { "icon": "Search", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.semantic.employer_name.eecd3e35849f4646d4", "query_id": "gq_d53b1e344183fcf53efb", "job_id": "8fdda008f9ce7c32a09c6e50e63646e0", "signal_type": "query_match", "display_text": "Employer: semantic match", "tooltip": "Employer provided semantic evidence for your search intent.", "source_binding": "reranker_semantic_evidence", "source_field": "employer_name", "source_value": "Multiverse", "matched_input": "multiverse", "derivation_source": "rerank_result.semantic_evidence", "candidate_evidence_id": null, "rerank_evidence_id": "rerank:9a1e0c6fa27a96037b6f3684", "taxonomy_alias_id": null, "oracle_verification_method": "reranker_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": false, "priority": 86, "mobile_priority": 2, "ui": { "icon": "Sparkles", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.employer_name.7745063ffc77515fda", "query_id": "gq_d53b1e344183fcf53efb", "job_id": "8fdda008f9ce7c32a09c6e50e63646e0", "signal_type": "query_match", "display_text": "Employer: \"multiverse\"", "tooltip": "Employer contains \"multiverse\" from your search.", "source_binding": "token_match", "source_field": "employer_name", "source_value": "Multiverse", "matched_input": "multiverse", "derivation_source": "row_field", "candidate_evidence_id": null, "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "row_field_contains", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 80, "mobile_priority": 2, "ui": { "icon": "SearchCheck", "tone": "match", "href": null } } ] }, { "id": "d049b4d6d85dd5bac7439a397cc18711", "title": "Regional Director, Enterprise Sales", "employer_name": "Multiverse", "employer_slug": "multiverse", "location_text": "London, England, UK", "country": "GB", "employment_type": "unknown", "remote_status": "unspecified", "remote_status_source": null, "remote_status_enriched_at": null, "days_in_office": null, "timezone_overlap_hours": 3, "salary_min": null, "salary_max": null, "salary_min_source": null, "salary_max_source": null, "salary_currency": "GBP", "salary_type": "unknown", "salary_type_source": null, "salary_type_enriched_at": null, "salary_period": null, "base_salary_min": null, "base_salary_max": null, "salary_disclosed": false, "equity_included": true, "equity_included_source": null, "equity_type": [ "options" ], "k401_match": null, "match_401k_pct": null, "match_401k_pct_source": null, "k401_match_source_url": null, "k401_match_source_fields": [], "k401_contribution_source_url": null, "k401_contribution_source_fields": [], "profit_sharing": false, "bonus_offered": false, "mental_health_support": null, "childcare_subsidy": null, "fertility_family_building_benefits": null, "adoption_assistance_offered": null, "surrogacy_assistance_offered": null, "student_loan_repayment_offered": null, "learning_budget_offered": null, "relocation_assistance": null, "top_startup_sources": [ "cbinsights_unicorn" ], "posted_at": "2025-10-31T10:09:47.898Z", "apply_url": "https://jobs.ashbyhq.com/multiverse/05092cac-c950-4c74-ae40-ea36332b6511", "apply_url_verified": false, "ats": "ashby", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Regional Director, Enterprise Sales London, England, UK Multiverse is the upskilling platform for AI and Tech adoption. We have partnered with 1,500+ companies to deliver a new kind of learning that's transforming today's workforce. Our upskilling apprenticeships are designed for people of any age and career stage to build critical AI, data, and tech skills. Our learners have driven $2bn+ ROI for their employers, using the skills they've learned to improve productivity and measurable performance. In June 2022, we announced a $220 million Series D funding round co-led by StepStone Group, Lightspeed Venture Partners and General Catalyst. With a post-money valuation of $1.7bn, the round makes us the UK's first EdTech unicorn. But we aren't stopping there. With a strong operational footprint and 800+ employees, we have ambitious plans to continue scaling. We're building a world where tech skills unlock people's potential and output. Join Multiverse and power our mission to equip the workforce to win in the AI era. The Opportunity A big part of achieving our £1.7Bn valuation was scaling our world-class Go-to-market team. We are just getting started, and are looking for exceptional sales individuals to help drive continued growth in the UK. For the first time, we are now hiring externally for a Regional Director position. Once here you will - Learn and lead the Multiverse GTM playbook supported by an industry-renowned sales training and a true development culture - Grow and manage a team of up to 7 Enterprise Account Executives - Maintain a hands", "parental_leave_weeks": null, "non_birth_parent_leave_weeks": null, "parental_leave_weeks_source": null, "non_birth_parent_leave_weeks_source": null, "parental_leave_source_url": null, "pto_days": null, "unlimited_pto": false, "sabbatical_eligible": false, "family_friendly_score": 43, "benefit_verified": false, "benefit_last_verified": null, "hire_states_allowed": [], "state_eligibility_source": null, "state_eligibility_enriched_at": null, "llm_quality_pass_at": null, "seniority": "staff_plus", "years_experience_min": 2, "years_experience_max": null, "role_function": "sales", "employer_industry": null, "employer_size": "51-200", "quality_score": 45, "travel_pct": null, "requires_shift": null, "shift_type": "unknown", "shift_type_source": null, "weekend_work": "unknown", "weekend_work_source": null, "relocation_assistance_source": null, "contractor_w2": "unknown", "required_timezone": null, "fertility_family_building_benefits_source": null, "mental_health_support_source": null, "adoption_assistance_offered_source": null, "childcare_subsidy_source": null, "learning_budget_offered_source": null, "surrogacy_assistance_offered_source": null, "cover_letter_required": null, "cover_letter_required_source": null, "assessment_required": null, "assessment_required_source": null, "application_deadline": null, "application_deadline_source": null, "visa_sponsorship": false, "us_citizenship_required": false, "security_clearance": "none", "education_required": "none", "roll_up_count": null, "roll_up_total_locations": null, "explanations": [ { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.description_excerpt.303974bf8ecf04f54a", "query_id": "gq_d53b1e344183fcf53efb", "job_id": "d049b4d6d85dd5bac7439a397cc18711", "signal_type": "query_match", "display_text": "Description: \"multiverse\"", "tooltip": "Description matched \"multiverse\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "description_excerpt", "source_value": "Regional Director, Enterprise Sales London, England, UK Multiverse is the upskilling platform for AI and Tech adoption. We have partnered with 1,500+ companies to deliver a new kind of learning that's transforming today's workforce. Our upskilling apprenticeships are designed for people of any age and career stage to build critical AI, data, and tech skills. Our learners have driven $2bn+ ROI for their employers, using the skills they've learned to improve productivity and measurable performance. In June 2022, we announced a $220 million Series D funding round co-led by StepStone Group, Lightspeed Venture Partners and General Catalyst. With a post-money valuation of $1.7bn, the round makes us the UK's first EdTech unicorn. But we aren't stopping there. With a strong operational footprint and 800+ employees, we have ambitious plans to continue scaling. We're building a world where tech skills unlock people's potential and output. Join Multiverse and power our mission to equip the workforce to win in the AI era. The Opportunity A big part of achieving our £1.7Bn valuation was scaling our world-class Go-to-market team. We are just getting started, and are looking for exceptional sales individuals to help drive continued growth in the UK. For the first time, we are now hiring externally for a Regional Director position. Once here you will - Learn and lead the Multiverse GTM playbook supported by an industry-renowned sales training and a true development culture - Grow and manage a team of up to 7 Enterprise Account Executives - Maintain a hands", "matched_input": "multiverse", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_d53b1e344183fcf53efb:d049b4d6d85dd5bac7439a397cc18711:description:multiverse", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 90, "mobile_priority": 1, "ui": { "icon": "Search", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.employer_name.d54413a0a0387bdf0b", "query_id": "gq_d53b1e344183fcf53efb", "job_id": "d049b4d6d85dd5bac7439a397cc18711", "signal_type": "query_match", "display_text": "Employer: \"multiverse\"", "tooltip": "Employer matched \"multiverse\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "employer_name", "source_value": "Multiverse", "matched_input": "multiverse", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_d53b1e344183fcf53efb:d049b4d6d85dd5bac7439a397cc18711:employer:multiverse", "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "candidate_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 90, "mobile_priority": 1, "ui": { "icon": "Search", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.semantic.employer_name.7eecb4c012b4c0102e", "query_id": "gq_d53b1e344183fcf53efb", "job_id": "d049b4d6d85dd5bac7439a397cc18711", "signal_type": "query_match", "display_text": "Employer: semantic match", "tooltip": "Employer provided semantic evidence for your search intent.", "source_binding": "reranker_semantic_evidence", "source_field": "employer_name", "source_value": "Multiverse", "matched_input": "multiverse", "derivation_source": "rerank_result.semantic_evidence", "candidate_evidence_id": null, "rerank_evidence_id": "rerank:b6357b2db6e6c0bfab2c14c5", "taxonomy_alias_id": null, "oracle_verification_method": "reranker_evidence_exists", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": false, "priority": 86, "mobile_priority": 2, "ui": { "icon": "Sparkles", "tone": "match", "href": null } }, { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.employer_name.996727cd1063b0a47a", "query_id": "gq_d53b1e344183fcf53efb", "job_id": "d049b4d6d85dd5bac7439a397cc18711", "signal_type": "query_match", "display_text": "Employer: \"multiverse\"", "tooltip": "Employer contains \"multiverse\" from your search.", "source_binding": "token_match", "source_field": "employer_name", "source_value": "Multiverse", "matched_input": "multiverse", "derivation_source": "row_field", "candidate_evidence_id": null, "rerank_evidence_id": null, "taxonomy_alias_id": null, "oracle_verification_method": "row_field_contains", "counts_for_non_trivial_query": true, "truth_verified": true, "exact": true, "priority": 80, "mobile_priority": 2, "ui": { "icon": "SearchCheck", "tone": "match", "href": null } } ] } ], "total": 30, "page": 1, "per_page": 24, "applied_filters": { "q": "Multiverse" }, "hidden_unknown_benefits_count": 0, "hidden_quality_floor_count": 0, "quality_floor": "default", "search_profile": { "profile_id": "inv382.d6.pg_textsearch_bge_small_rrf.v1", "bm25_extension": "pg_textsearch", "vector_model": "BAAI/bge-small-en-v1.5", "vector_model_version": "v1.5", "fusion_method": "rrf" }, "explanation_context": { "non_trivial_query": false, "query_terms": [ "multiverse" ], "active_filter_keys": [], "visible_signal_limit": 3, "visible_trust_limit": 2 }, "event_context": null }