{ "slug": "doe", "canonical_name": "Doe", "website": "https://doe.so", "ats": "ashby", "top_startup": true, "top_startup_sources": [ "yc" ], "total_active_jobs": 3, "verified_benefits": { "parental_leave_weeks": null, "non_birth_parent_leave_weeks": null, "source_url": null, "source_label": null, "verified_count": 0, "last_verified": null }, "awards": null, "jobs": [ { "id": "d201523a25583aa88ed339226e810d0b", "title": "Machine Learning Researcher", "employer_name": "Doe", "employer_slug": "doe", "location_text": "San Francisco | OnSite", "country": "US", "employment_type": "unknown", "remote_status": "onsite", "remote_status_source": null, "remote_status_enriched_at": null, "days_in_office": 5, "timezone_overlap_hours": 6, "salary_min": null, "salary_max": null, "salary_min_source": null, "salary_max_source": null, "salary_currency": "UNSPECIFIED", "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, "learning_budget_offered": null, "relocation_assistance": null, "top_startup_sources": [ "yc" ], "posted_at": "2026-06-10T03:52:15.000Z", "apply_url": "https://jobs.ashbyhq.com/doe/4172185d-5035-460f-840f-2fd0ce5cd009", "apply_url_verified": false, "ats": "ashby", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Machine Learning Researcher San Francisco | OnSite At Doe, we're building an AI workforce that operates mission-critical workflows across private equity-backed rollups - starting with DSOs. These agents need to be fast, resilient, auditable, and secure. Here's why we might not be the right fit for you: • We work hard and have a high-velocity environment with lots of growth opportunities. • We value exceptional performance and continuous improvement. We believe that if you aren't constantly learning, you aren't growing. • You will be responsible and accountable for making high-impact decisions that determine Who we're looking for: - Someone who has a deep understanding of the ML development cycle, focusing on iteration speed and identifying bottlenecks - Someone who is goal-oriented and driven. You must be comfortable being given a goal and doing whatever is necessary to achieve the goal - Proficient in Python, Tensorflow or PyTorch", "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, "llm_signals_at": null, "llm_extraction_run_id": null, "llm_extraction_extracted_at": null, "llm_extraction_field_sources": {}, "seniority": "mid", "seniority_source": null, "years_experience_min": 3, "years_experience_max": 7, "role_function": "data", "role_function_source": null, "company_stage": null, "company_stage_source": null, "employer_industry": null, "employer_industry_source": 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": [], "parental_leave_source_label": null, "k401_match_source_label": null, "k401_contribution_source_label": null, "apply_url_checked_at": null, "apply_url_verification_status": "not_reachable_or_not_checked", "apply_url_verification_label": "Not checked or not reachable at last crawl", "field_source_signals": { "remote_status": { "tier": "inferred", "verified": false, "label": "Inferred - source not recorded", "source_label": "source not recorded", "href": null, "source_values": [], "checked_at": null }, "equity_included": { "tier": "inferred", "verified": false, "label": "Inferred - source not recorded", "source_label": "source not recorded", "href": null, "source_values": [], "checked_at": null }, "seniority": { "tier": "inferred", "verified": false, "label": "Inferred - source not recorded", "source_label": "source not recorded", "href": null, "source_values": [], "checked_at": null }, "role_function": { "tier": "inferred", "verified": false, "label": "Inferred - source not recorded", "source_label": "source not recorded", "href": null, "source_values": [], "checked_at": null } } }, { "id": "329ffaf9979e885474ce7af017217b8a", "title": "Software Engineer - Systems", "employer_name": "Doe", "employer_slug": "doe", "location_text": "San Francisco | OnSite", "country": "US", "employment_type": "unknown", "remote_status": "onsite", "remote_status_source": null, "remote_status_enriched_at": null, "days_in_office": 5, "timezone_overlap_hours": 6, "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, "learning_budget_offered": null, "relocation_assistance": null, "top_startup_sources": [ "yc" ], "posted_at": "2026-06-10T03:52:15.000Z", "apply_url": "https://jobs.ashbyhq.com/doe/11e8bca9-1df2-46fc-8a88-a9492302db5a", "apply_url_verified": false, "ats": "ashby", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Software Engineer - Systems San Francisco | OnSite If you have personally made over $100,000 via trading (manual / algo) or have a github repo with 500+ stars, please email founders@doe.so tom@chai-research.com directly to have your application fast-tracked. At Doe, we're building an AI workforce that operates mission-critical workflows across private equity-backed rollups - starting with DSOs. These agents need to be fast, resilient, auditable, and secure. Here's why we might not be the right fit for you: • We work hard and have a high-velocity environment with lots of growth opportunities. • We value exceptional performance and continuous improvement. We believe that if you aren't constantly learning, you aren't growing. • You will be responsible and accountable for making high-impact decisions that determine Ideal candidate credentials: - Expert-level understanding of systems programming (C++ or Rust, concurrency, databases, operating systems) - Previous experience founding or working at startups is a plus - Has written prompts / tinkered with GPT models and apps What you'll do: As a systems engineer at Doe, you'll help build the core systems powering our agents' ability to process and query massive volumes of unstructured data at enterprise scale.", "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, "llm_signals_at": null, "llm_extraction_run_id": null, "llm_extraction_extracted_at": null, "llm_extraction_field_sources": {}, "seniority": "mid", "seniority_source": null, "years_experience_min": 3, "years_experience_max": 7, "role_function": "engineering", "role_function_source": null, "company_stage": null, "company_stage_source": null, "employer_industry": null, "employer_industry_source": 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": [], "parental_leave_source_label": null, "k401_match_source_label": null, "k401_contribution_source_label": null, "apply_url_checked_at": null, "apply_url_verification_status": "not_reachable_or_not_checked", "apply_url_verification_label": "Not checked or not reachable at last crawl", "field_source_signals": { "remote_status": { "tier": "inferred", "verified": false, "label": "Inferred - source not recorded", "source_label": "source not recorded", "href": null, "source_values": [], "checked_at": null }, "equity_included": { "tier": "inferred", "verified": false, "label": "Inferred - source not recorded", "source_label": "source not recorded", "href": null, "source_values": [], "checked_at": null }, "seniority": { "tier": "inferred", "verified": false, "label": "Inferred - source not recorded", "source_label": "source not recorded", "href": null, "source_values": [], "checked_at": null }, "role_function": { "tier": "inferred", "verified": false, "label": "Inferred - source not recorded", "source_label": "source not recorded", "href": null, "source_values": [], "checked_at": null } } }, { "id": "0384ebf8069e36f5dd9c151583515ff3", "title": "Software Engineer - Product", "employer_name": "Doe", "employer_slug": "doe", "location_text": "San Francisco | OnSite", "country": "US", "employment_type": "unknown", "remote_status": "onsite", "remote_status_source": null, "remote_status_enriched_at": null, "days_in_office": 5, "timezone_overlap_hours": 6, "salary_min": null, "salary_max": null, "salary_min_source": null, "salary_max_source": null, "salary_currency": "UNSPECIFIED", "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, "learning_budget_offered": null, "relocation_assistance": null, "top_startup_sources": [ "yc" ], "posted_at": "2026-06-10T03:52:15.000Z", "apply_url": "https://jobs.ashbyhq.com/doe/17a1ba77-144d-4061-b408-f0597e314439", "apply_url_verified": false, "ats": "ashby", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Software Engineer - Product San Francisco | OnSite If you have a github repo with 500+ stars or have built a product with 10k+ users, please email founders@doe.so tom@chai-research.com directly to have your application fast-tracked. At Doe, we're building an AI workforce that operates mission-critical workflows across private equity-backed rollups - starting with DSOs. These agents need to be fast, resilient, auditable, and secure. Here's why we might not be the right fit for you: • We work hard and have a high-velocity environment with lots of growth opportunities. • We value exceptional performance and continuous improvement. We believe that if you aren't constantly learning, you aren't growing. • You will be responsible and accountable for making high-impact decisions that determine the future of Doe. Ideal candidate credentials: - Expert-level understanding of Typescript, React, HTML, CSS, SQL, NextJS - Previous experience founding or working at startups is a plus - Has written prompts / tinkered with GPT models and apps What you'll do: - Build performant and beautiful experiences - Set the standard for UX of agent products - Push through technical walls - Talk to customers!", "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, "llm_signals_at": null, "llm_extraction_run_id": null, "llm_extraction_extracted_at": null, "llm_extraction_field_sources": {}, "seniority": "mid", "seniority_source": null, "years_experience_min": 3, "years_experience_max": 7, "role_function": "engineering", "role_function_source": null, "company_stage": null, "company_stage_source": null, "employer_industry": null, "employer_industry_source": 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": [], "parental_leave_source_label": null, "k401_match_source_label": null, "k401_contribution_source_label": null, "apply_url_checked_at": null, "apply_url_verification_status": "not_reachable_or_not_checked", "apply_url_verification_label": "Not checked or not reachable at last crawl", "field_source_signals": { "remote_status": { "tier": "inferred", "verified": false, "label": "Inferred - source not recorded", "source_label": "source not recorded", "href": null, "source_values": [], "checked_at": null }, "equity_included": { "tier": "inferred", "verified": false, "label": "Inferred - source not recorded", "source_label": "source not recorded", "href": null, "source_values": [], "checked_at": null }, "seniority": { "tier": "inferred", "verified": false, "label": "Inferred - source not recorded", "source_label": "source not recorded", "href": null, "source_values": [], "checked_at": null }, "role_function": { "tier": "inferred", "verified": false, "label": "Inferred - source not recorded", "source_label": "source not recorded", "href": null, "source_values": [], "checked_at": null } } } ], "json_ld": [ { "@context": "https://schema.org", "@type": "Organization", "name": "Doe", "url": "https://doe.so", "sameAs": [] }, { "@context": "https://schema.org", "@type": "ItemList", "name": "Doe open jobs", "itemListElement": [ { "@type": "ListItem", "position": 1, "url": "https://fewerjobs.com/jobs/doe/machine-learning-researcher-d201523a", "item": { "@context": "https://schema.org", "@type": "JobPosting", "title": "Machine Learning Researcher", "description": "

Machine Learning Researcher at Doe - San Francisco | OnSite - Machine Learning Researcher San Francisco | OnSite At Doe, we're building an AI workforce that operates mission-critical workflows across private equity-backed rollups - starting with DSOs. These agents need to be fast, resilient, auditable, and secure. Here's why we might not be the right fit for you: • We work hard and have a high-velocity environment with lots of growth opportunities. • We value exceptional performance and continuous improvement. We believe that if you aren't constantly learning, you aren't growing. • You will be responsible and accountable for making high-impact decisions that determine Who we're looking for: - Someone who has a deep understanding of the ML development cycle, focusing on iteration speed and identifying bottlenecks - Someone who is goal-oriented and driven. You must be comfortable being given a goal and doing whatever is necessary to achieve the goal - Proficient in Python, Tensorflow or PyTorch

", "datePosted": "2026-06-10T03:52:15.000Z", "employmentType": "OTHER", "identifier": { "@type": "PropertyValue", "name": "Doe", "value": "d201523a25583aa88ed339226e810d0b" }, "hiringOrganization": { "@type": "Organization", "name": "Doe" }, "jobLocation": { "@type": "Place", "address": { "@type": "PostalAddress", "addressCountry": "US" } }, "directApply": false, "incentiveCompensation": "Equity (Options)", "experienceRequirements": { "@type": "OccupationalExperienceRequirements", "monthsOfExperience": 36 }, "educationRequirements": "no requirements", "url": "https://fewerjobs.com/jobs/doe/machine-learning-researcher-d201523a" } }, { "@type": "ListItem", "position": 2, "url": "https://fewerjobs.com/jobs/doe/software-engineer-systems-329ffaf9", "item": { "@context": "https://schema.org", "@type": "JobPosting", "title": "Software Engineer - Systems", "description": "

Software Engineer - Systems at Doe - San Francisco | OnSite - Software Engineer - Systems San Francisco | OnSite If you have personally made over $100,000 via trading (manual / algo) or have a github repo with 500+ stars, please email founders@doe.so tom@chai-research.com directly to have your application fast-tracked. At Doe, we're building an AI workforce that operates mission-critical workflows across private equity-backed rollups - starting with DSOs. These agents need to be fast, resilient, auditable, and secure. Here's why we might not be the right fit for you: • We work hard and have a high-velocity environment with lots of growth opportunities. • We value exceptional performance and continuous improvement. We believe that if you aren't constantly learning, you aren't growing. • You will be responsible and accountable for making high-impact decisions that determine Ideal candidate credentials: - Expert-level understanding of systems programming (C++ or Rust, concurrency, databases, operating systems) - Previous experience founding or working at startups is a plus - Has written prompts / tinkered with GPT models and apps What you'll do: As a systems engineer at Doe, you'll help build the core systems powering our agents' ability to process and query massive volumes of unstructured data at enterprise scale.

", "datePosted": "2026-06-10T03:52:15.000Z", "employmentType": "OTHER", "identifier": { "@type": "PropertyValue", "name": "Doe", "value": "329ffaf9979e885474ce7af017217b8a" }, "hiringOrganization": { "@type": "Organization", "name": "Doe" }, "jobLocation": { "@type": "Place", "address": { "@type": "PostalAddress", "addressCountry": "US" } }, "directApply": false, "incentiveCompensation": "Equity (Options)", "experienceRequirements": { "@type": "OccupationalExperienceRequirements", "monthsOfExperience": 36 }, "educationRequirements": "no requirements", "url": "https://fewerjobs.com/jobs/doe/software-engineer-systems-329ffaf9" } }, { "@type": "ListItem", "position": 3, "url": "https://fewerjobs.com/jobs/doe/software-engineer-product-0384ebf8", "item": { "@context": "https://schema.org", "@type": "JobPosting", "title": "Software Engineer - Product", "description": "

Software Engineer - Product at Doe - San Francisco | OnSite - Software Engineer - Product San Francisco | OnSite If you have a github repo with 500+ stars or have built a product with 10k+ users, please email founders@doe.so tom@chai-research.com directly to have your application fast-tracked. At Doe, we're building an AI workforce that operates mission-critical workflows across private equity-backed rollups - starting with DSOs. These agents need to be fast, resilient, auditable, and secure. Here's why we might not be the right fit for you: • We work hard and have a high-velocity environment with lots of growth opportunities. • We value exceptional performance and continuous improvement. We believe that if you aren't constantly learning, you aren't growing. • You will be responsible and accountable for making high-impact decisions that determine the future of Doe. Ideal candidate credentials: - Expert-level understanding of Typescript, React, HTML, CSS, SQL, NextJS - Previous experience founding or working at startups is a plus - Has written prompts / tinkered with GPT models and apps What you'll do: - Build performant and beautiful experiences - Set the standard for UX of agent products - Push through technical walls - Talk to customers!

", "datePosted": "2026-06-10T03:52:15.000Z", "employmentType": "OTHER", "identifier": { "@type": "PropertyValue", "name": "Doe", "value": "0384ebf8069e36f5dd9c151583515ff3" }, "hiringOrganization": { "@type": "Organization", "name": "Doe" }, "jobLocation": { "@type": "Place", "address": { "@type": "PostalAddress", "addressCountry": "US" } }, "directApply": false, "incentiveCompensation": "Equity (Options)", "experienceRequirements": { "@type": "OccupationalExperienceRequirements", "monthsOfExperience": 36 }, "educationRequirements": "no requirements", "url": "https://fewerjobs.com/jobs/doe/software-engineer-product-0384ebf8" } } ] } ] }