{ "slug": "faire", "canonical_name": "Faire", "website": "https://faire.com", "ats": "greenhouse", "top_startup": true, "top_startup_sources": [ "yc", "cbinsights_unicorn", "sequoia", "foundersfund" ], "total_active_jobs": 60, "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": { "top_award_count": 1, "tier_a_award_count": 0, "tier_b_award_count": 1, "any_award": true, "awards": [ { "source": "builtin_bestplaces", "year": 2026, "rank": null, "citation_url": "https://builtin.com/company/faire", "award_category": "Built In Atlanta Best Places To Work" } ], "raw_ratings": [] }, "jobs": [ { "id": "af68fffa950a8a7470f6222c95278be8", "title": "Marketing Analytics Senior Associate", "employer_name": "Faire", "employer_slug": "faire", "location_text": "New York City, NY; San Francisco, CA", "country": "US", "employment_type": "unknown", "remote_status": "unspecified", "remote_status_source": null, "remote_status_enriched_at": null, "days_in_office": null, "timezone_overlap_hours": 6, "salary_min": 128000, "salary_max": 176000, "salary_min_source": null, "salary_max_source": null, "salary_currency": "USD", "salary_type": "base", "salary_type_source": null, "salary_type_enriched_at": null, "salary_period": "year", "base_salary_min": 128000, "base_salary_max": 176000, "salary_disclosed": true, "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", "cbinsights_unicorn", "sequoia", "foundersfund" ], "posted_at": "2026-06-12T10:25:24.000Z", "apply_url": "https://boards.greenhouse.io/faire/jobs/8585014002?gh_jid=8585014002", "apply_url_verified": false, "ats": "greenhouse", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Marketing Analytics Senior Associate New York City, NY; San Francisco, CA About Faire Faire is a technology wholesale platform built on the belief that the future is local. Independent retailers around the globe collectively represent a multi-hundred-billion-dollar wholesale market that has historically been fragmented and offline. At Faire, we're using the power of tech, data, and machine learning to connect this thriving community of entrepreneurs across the globe. Picture your favorite boutique in town - we help them discover the best products from around the world to sell in their stores. With the right tools and insights, we believe that we can level the playing field so businesses can grow and local communities can thrive. We're looking for smart, resourceful and passionate people to join us as we power the shop local movement. If you believe in community, come join ours. About this role We're looking for a stellar marketing data analyst to use data to drive growth strategies and maximize ROI of growth channels across Faire. This person will serve as a key partner to strategic finance & marketing managers, owning things like marketing payback framework, planning and forecasting, lifecycle experimentation, marketing channel analyses, A/B testing and attribution over time. Specifically, this individual will work on brand and retailer marketing analytics using attribution, A/B testing, and strategic analysis to either uncover opportunity areas for growth for marketing or to increase efficiency. What you'll do Be an expert on Marketing Attribution. Manage attribution and data ETLs and partner across the", "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": 47, "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": "senior", "seniority_source": null, "years_experience_min": 4, "years_experience_max": 8, "role_function": "marketing", "role_function_source": null, "company_stage": null, "company_stage_source": null, "employer_industry": null, "employer_industry_source": null, "employer_size": "51-200", "quality_score": 55, "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": "bachelors", "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": { "salary_min": { "tier": "inferred", "verified": false, "label": "Inferred - source not recorded", "source_label": "source not recorded", "href": null, "source_values": [], "checked_at": null }, "salary_max": { "tier": "inferred", "verified": false, "label": "Inferred - source not recorded", "source_label": "source not recorded", "href": null, "source_values": [], "checked_at": null }, "salary_type": { "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": "87e30bcbefe2867f8a98d220237b6852", "title": "Tax Senior Analyst", "employer_name": "Faire", "employer_slug": "faire", "location_text": "San Francisco, CA", "country": "US", "employment_type": "unknown", "remote_status": "unspecified", "remote_status_source": null, "remote_status_enriched_at": null, "days_in_office": null, "timezone_overlap_hours": 6, "salary_min": 125500, "salary_max": 172500, "salary_min_source": null, "salary_max_source": null, "salary_currency": "USD", "salary_type": "base", "salary_type_source": null, "salary_type_enriched_at": null, "salary_period": "year", "base_salary_min": 125500, "base_salary_max": 172500, "salary_disclosed": true, "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", "cbinsights_unicorn", "sequoia", "foundersfund" ], "posted_at": "2026-06-10T03:52:15.000Z", "apply_url": "https://boards.greenhouse.io/faire/jobs/8584437002?gh_jid=8584437002", "apply_url_verified": false, "ats": "greenhouse", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Tax Senior Analyst San Francisco, CA About Faire Faire is a technology wholesale platform built on the belief that the future is local. Independent retailers around the globe collectively represent a multi-hundred-billion-dollar wholesale market that has historically been fragmented and offline. At Faire, we're using the power of tech, data, and machine learning to connect this thriving community of entrepreneurs across the globe. Picture your favorite boutique in town - we help them discover the best products from around the world to sell in their stores. With the right tools and insights, we believe that we can level the playing field so businesses can grow and local communities can thrive. We're looking for smart, resourceful and passionate people to join us as we power the shop local movement. If you believe in community, come join ours. About this role This position will be a key contributor to the tax team and will be responsible for providing income tax provision and direct and indirect tax compliance support, as well as process improvements to scale tax operations. This candidate should expect to work cross-functionally and collaboratively and manage multiple deliverables in a fast-paced environment. This position will report to the Head of Tax Reporting and Compliance. What you'll do The successful candidate will assist with domestic and international tax reporting and compliance. The role will also involve assisting with the tax aspects of business initiatives and product launches. Support the monthly close process, including the preparation of tax account reconciliations and transfer", "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": 47, "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": "senior", "seniority_source": null, "years_experience_min": 4, "years_experience_max": 9, "role_function": "finance", "role_function_source": null, "company_stage": null, "company_stage_source": null, "employer_industry": null, "employer_industry_source": null, "employer_size": "51-200", "quality_score": 55, "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": "contractor", "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": "bachelors", "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": { "salary_min": { "tier": "inferred", "verified": false, "label": "Inferred - source not recorded", "source_label": "source not recorded", "href": null, "source_values": [], "checked_at": null }, "salary_max": { "tier": "inferred", "verified": false, "label": "Inferred - source not recorded", "source_label": "source not recorded", "href": null, "source_values": [], "checked_at": null }, "salary_type": { "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": "fce368a85652a0fdbc67ba9f40750df0", "title": "Staff Machine Learning Platform Engineer", "employer_name": "Faire", "employer_slug": "faire", "location_text": "Kitchener-Waterloo, ON; Toronto, ON", "country": "CA", "employment_type": "unknown", "remote_status": "unspecified", "remote_status_source": null, "remote_status_enriched_at": null, "days_in_office": null, "timezone_overlap_hours": 6, "salary_min": 216000, "salary_max": 297000, "salary_min_source": null, "salary_max_source": null, "salary_currency": "USD", "salary_type": "base", "salary_type_source": null, "salary_type_enriched_at": null, "salary_period": "year", "base_salary_min": 216000, "base_salary_max": 297000, "salary_disclosed": true, "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", "cbinsights_unicorn", "sequoia", "foundersfund" ], "posted_at": "2026-06-07T17:58:24.000Z", "apply_url": "https://boards.greenhouse.io/faire/jobs/8542017002?gh_jid=8542017002", "apply_url_verified": false, "ats": "greenhouse", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Staff Machine Learning Platform Engineer Kitchener-Waterloo, ON; Toronto, ON About Faire Faire is a technology wholesale platform built on the belief that the future is local. Independent retailers around the globe collectively represent a multi-hundred-billion-dollar wholesale market that has historically been fragmented and offline. At Faire, we're using the power of tech, data, and machine learning to connect this thriving community of entrepreneurs across the globe. Picture your favorite boutique in town - we help them discover the best products from around the world to sell in their stores. With the right tools and insights, we believe that we can level the playing field so businesses can grow and local communities can thrive. We're looking for smart, resourceful and passionate people to join us as we power the shop local movement. If you believe in community, come join ours. About this role As a Staff Machine Learning Platform Engineer, you will help design, improve, and operate a scalable ML platform to accelerate model training, deployment, and governance. You are the technical bridge between data science and production engineering. You'll be joining a small but deeply critical team that scales Faire's ability to support tens of thousands of local businesses in a constantly narrowing retail landscape. What You Will Do Design and operate ML infrastructure, including workspaces, clusters, jobs, and workflows Productionize ML workloads using Spark, Delta Lake, MLflow, and Databricks Workflows Teach data scientists how to utilize our ML platform to advance development from notebook to production for our most", "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": 47, "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": "staff_plus", "seniority_source": null, "years_experience_min": 8, "years_experience_max": 12, "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": 55, "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": { "salary_min": { "tier": "inferred", "verified": false, "label": "Inferred - source not recorded", "source_label": "source not recorded", "href": null, "source_values": [], "checked_at": null }, "salary_max": { "tier": "inferred", "verified": false, "label": "Inferred - source not recorded", "source_label": "source not recorded", "href": null, "source_values": [], "checked_at": null }, "salary_type": { "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": "f0801ea6bf4e29167aa52c5a13695c72", "title": "Sales Development Representative", "employer_name": "Faire", "employer_slug": "faire", "location_text": "San Francisco, CA", "country": "US", "employment_type": "unknown", "remote_status": "unspecified", "remote_status_source": null, "remote_status_enriched_at": null, "days_in_office": null, "timezone_overlap_hours": 6, "salary_min": 70500, "salary_max": 97000, "salary_min_source": null, "salary_max_source": null, "salary_currency": "USD", "salary_type": "ote", "salary_type_source": null, "salary_type_enriched_at": null, "salary_period": "year", "base_salary_min": 70500, "base_salary_max": 97000, "salary_disclosed": true, "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", "cbinsights_unicorn", "sequoia", "foundersfund" ], "posted_at": "2026-06-07T17:58:24.000Z", "apply_url": "https://boards.greenhouse.io/faire/jobs/8525230002?gh_jid=8525230002", "apply_url_verified": false, "ats": "greenhouse", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Sales Development Representative San Francisco, CA About Faire Faire is a technology wholesale platform built on the belief that the future is local. Independent retailers around the globe collectively represent a multi-hundred-billion-dollar wholesale market that has historically been fragmented and offline. At Faire, we're using the power of tech, data, and machine learning to connect this thriving community of entrepreneurs across the globe. Picture your favorite boutique in town - we help them discover the best products from around the world to sell in their stores. With the right tools and insights, we believe that we can level the playing field so businesses can grow and local communities can thrive. We're looking for smart, resourceful and passionate people to join us as we power the shop local movement. If you believe in community, come join ours. About this role Faire's quality, depth and breadth of supply is its strongest value proposition to retailers and our Brand Partnerships team is at the forefront of our success by ensuring that the best and most relevant brands are on our platform. You will be directly contributing to the company's success by scaling our current supply and ensuring that we meet the needs of our retailers. We need an agile self-starter who can ramp quickly and help us manage our prospective brands and partnership opportunities. Faire's goal is to be the default platform for brands to sell their products wholesale and for independent retailers to source products for their store. That means there will", "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": 47, "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": 1, "years_experience_max": 7, "role_function": "sales", "role_function_source": null, "company_stage": null, "company_stage_source": null, "employer_industry": null, "employer_industry_source": null, "employer_size": "51-200", "quality_score": 55, "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": "bachelors", "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": { "salary_min": { "tier": "inferred", "verified": false, "label": "Inferred - source not recorded", "source_label": "source not recorded", "href": null, "source_values": [], "checked_at": null }, "salary_max": { "tier": "inferred", "verified": false, "label": "Inferred - source not recorded", "source_label": "source not recorded", "href": null, "source_values": [], "checked_at": null }, "salary_type": { "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": "ef84ec4f3d30a732fa954504b8ae9ed6", "title": "Senior Applied AI/ML Scientist - Listing Quality", "employer_name": "Faire", "employer_slug": "faire", "location_text": "Toronto, ON", "country": "CA", "employment_type": "unknown", "remote_status": "unspecified", "remote_status_source": null, "remote_status_enriched_at": null, "days_in_office": null, "timezone_overlap_hours": 6, "salary_min": 180000, "salary_max": 247500, "salary_min_source": null, "salary_max_source": null, "salary_currency": "USD", "salary_type": "base", "salary_type_source": null, "salary_type_enriched_at": null, "salary_period": "year", "base_salary_min": 180000, "base_salary_max": 247500, "salary_disclosed": true, "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", "cbinsights_unicorn", "sequoia", "foundersfund" ], "posted_at": "2026-06-07T17:58:24.000Z", "apply_url": "https://boards.greenhouse.io/faire/jobs/8227567002?gh_jid=8227567002", "apply_url_verified": false, "ats": "greenhouse", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Senior Applied AI/ML Scientist - Listing Quality Toronto, ON About Faire Faire is a technology wholesale platform built on the belief that the future is local. Independent retailers around the globe collectively represent a multi-hundred-billion-dollar wholesale market that has historically been fragmented and offline. At Faire, we're using the power of tech, data, and machine learning to connect this thriving community of entrepreneurs across the globe. Picture your favorite boutique in town - we help them discover the best products from around the world to sell in their stores. With the right tools and insights, we believe that we can level the playing field so businesses can grow and local communities can thrive. We're looking for smart, resourceful and passionate people to join us as we power the shop local movement. If you believe in community, come join ours. About this role Faire leverages the power of machine learning and data insights to revolutionize the wholesale industry, enabling local retailers to compete against giants like Amazon and big box stores. At Faire, the Data Science team is responsible for creating and maintaining a diverse range of algorithms and models that power our marketplace. We are dedicated to building machine learning models that help our customers thrive. As a member of the Brand Data Science team working on Listing Quality, you will be responsible for improving the quality of product listings to help retailers find and evaluate products on Faire. You will use ML and AI to tackle critical challenges, such", "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": 47, "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": "senior", "seniority_source": null, "years_experience_min": 3, "years_experience_max": 9, "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": 55, "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": "doctorate", "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": { "salary_min": { "tier": "inferred", "verified": false, "label": "Inferred - source not recorded", "source_label": "source not recorded", "href": null, "source_values": [], "checked_at": null }, "salary_max": { "tier": "inferred", "verified": false, "label": "Inferred - source not recorded", "source_label": "source not recorded", "href": null, "source_values": [], "checked_at": null }, "salary_type": { "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": "ee0289c07183efe8c03016e642856b4a", "title": "Strategic Finance Lead, Fulfillment", "employer_name": "Faire", "employer_slug": "faire", "location_text": "San Francisco, CA", "country": "US", "employment_type": "contract", "remote_status": "unspecified", "remote_status_source": null, "remote_status_enriched_at": null, "days_in_office": null, "timezone_overlap_hours": 6, "salary_min": 164000, "salary_max": 225500, "salary_min_source": null, "salary_max_source": null, "salary_currency": "USD", "salary_type": "base", "salary_type_source": null, "salary_type_enriched_at": null, "salary_period": "year", "base_salary_min": 164000, "base_salary_max": 225500, "salary_disclosed": true, "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", "cbinsights_unicorn", "sequoia", "foundersfund" ], "posted_at": "2026-06-07T17:58:24.000Z", "apply_url": "https://boards.greenhouse.io/faire/jobs/8547681002?gh_jid=8547681002", "apply_url_verified": false, "ats": "greenhouse", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Strategic Finance Lead, Fulfillment San Francisco, CA About Faire Faire is a technology wholesale platform built on the belief that the future is local. Independent retailers around the globe collectively represent a multi-hundred-billion-dollar wholesale market that has historically been fragmented and offline. At Faire, we're using the power of tech, data, and machine learning to connect this thriving community of entrepreneurs across the globe. Picture your favorite boutique in town - we help them discover the best products from around the world to sell in their stores. With the right tools and insights, we believe that we can level the playing field so businesses can grow and local communities can thrive. We're looking for smart, resourceful and passionate people to join us as we power the shop local movement. If you believe in community, come join ours. About this role We're looking for a high-agency Strategic Finance Lead to own financial and strategic analysis for Faire's emerging fulfillment and logistics investments. You'll drive mission-critical work end to end - from unit economics and scenario modeling to executive-ready narratives and partnership with Product, GTM, Business Development, and Operations. This role is central to how we scale fulfillment from zero to one: making disciplined tradeoffs on cost-to-serve, network economics, and partnerships so we improve service for brands and retailers while de-risking long-term financial outcomes. Job description Capital and operational efficiency both matter at Faire, but fulfillment is increasingly where scale, customer experience, and P&L intersect. The Finance & Strategy team helps ensure", "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": 47, "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": "senior", "seniority_source": null, "years_experience_min": 5, "years_experience_max": 9, "role_function": "finance", "role_function_source": null, "company_stage": null, "company_stage_source": null, "employer_industry": null, "employer_industry_source": null, "employer_size": "51-200", "quality_score": 55, "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": "bachelors", "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": { "salary_min": { "tier": "inferred", "verified": false, "label": "Inferred - source not recorded", "source_label": "source not recorded", "href": null, "source_values": [], "checked_at": null }, "salary_max": { "tier": "inferred", "verified": false, "label": "Inferred - source not recorded", "source_label": "source not recorded", "href": null, "source_values": [], "checked_at": null }, "salary_type": { "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": "eda471b628c36ce7e3d617c236b536a0", "title": "Senior Platform Analytics Engineer", "employer_name": "Faire", "employer_slug": "faire", "location_text": "Kitchener-Waterloo, ON; Toronto, ON", "country": "CA", "employment_type": "unknown", "remote_status": "unspecified", "remote_status_source": null, "remote_status_enriched_at": null, "days_in_office": null, "timezone_overlap_hours": 6, "salary_min": 160000, "salary_max": 220000, "salary_min_source": null, "salary_max_source": null, "salary_currency": "USD", "salary_type": "base", "salary_type_source": null, "salary_type_enriched_at": null, "salary_period": "year", "base_salary_min": 160000, "base_salary_max": 220000, "salary_disclosed": true, "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", "cbinsights_unicorn", "sequoia", "foundersfund" ], "posted_at": "2026-06-07T17:58:24.000Z", "apply_url": "https://boards.greenhouse.io/faire/jobs/8569249002?gh_jid=8569249002", "apply_url_verified": false, "ats": "greenhouse", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Senior Platform Analytics Engineer Kitchener-Waterloo, ON; Toronto, ON About Faire Faire is a technology wholesale platform built on the belief that the future is local. Independent retailers around the globe collectively represent a multi-hundred-billion-dollar wholesale market that has historically been fragmented and offline. At Faire, we're using the power of tech, data, and machine learning to connect this thriving community of entrepreneurs across the globe. Picture your favorite boutique in town - we help them discover the best products from around the world to sell in their stores. With the right tools and insights, we believe that we can level the playing field so businesses can grow and local communities can thrive. We're looking for smart, resourceful and passionate people to join us as we power the shop local movement. If you believe in community, come join ours. About this role: Our Engineering organization owns the software that makes our marketplace work. The Platform group empowers teams across Faire: Product Engineering, Data Science, Product Management, Strategy, Analytics, Finance, etc. Enabling these functions to do their best work without concern about underlying infrastructure. We enable product engineering teams to build and operate software with unmatched speed and quality. We care about good engineering practices, excellent developer experience, security, testability, ease of maintenance, and scaling to serve millions of users. We value best practices to achieve excellent availability and performance. The Analytics Platform team builds capabilities to accelerate data-driven analytics, improve productivity and accuracy at Faire. Its mandate is to reduce time", "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": 47, "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": "senior", "seniority_source": null, "years_experience_min": 5, "years_experience_max": 9, "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": 55, "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": "bachelors", "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": { "salary_min": { "tier": "inferred", "verified": false, "label": "Inferred - source not recorded", "source_label": "source not recorded", "href": null, "source_values": [], "checked_at": null }, "salary_max": { "tier": "inferred", "verified": false, "label": "Inferred - source not recorded", "source_label": "source not recorded", "href": null, "source_values": [], "checked_at": null }, "salary_type": { "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": "ec06cf68fea6a22c3e68bc90370ac1ac", "title": "Staff Product Manager, Inspire & App", "employer_name": "Faire", "employer_slug": "faire", "location_text": "New York City, NY; San Francisco, CA", "country": "US", "employment_type": "unknown", "remote_status": "unspecified", "remote_status_source": null, "remote_status_enriched_at": null, "days_in_office": null, "timezone_overlap_hours": 6, "salary_min": 220000, "salary_max": 302500, "salary_min_source": null, "salary_max_source": null, "salary_currency": "USD", "salary_type": "base", "salary_type_source": null, "salary_type_enriched_at": null, "salary_period": "year", "base_salary_min": 220000, "base_salary_max": 302500, "salary_disclosed": true, "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", "cbinsights_unicorn", "sequoia", "foundersfund" ], "posted_at": "2026-06-07T17:58:24.000Z", "apply_url": "https://boards.greenhouse.io/faire/jobs/8572155002?gh_jid=8572155002", "apply_url_verified": false, "ats": "greenhouse", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Staff Product Manager, Inspire & App New York City, NY; San Francisco, CA About Faire Faire is a technology wholesale platform built on the belief that the future is local. Independent retailers around the globe collectively represent a multi-hundred-billion-dollar wholesale market that has historically been fragmented and offline. At Faire, we're using the power of tech, data, and machine learning to connect this thriving community of entrepreneurs across the globe. Picture your favorite boutique in town - we help them discover the best products from around the world to sell in their stores. With the right tools and insights, we believe that we can level the playing field so businesses can grow and local communities can thrive. We're looking for smart, resourceful and passionate people to join us as we power the shop local movement. If you believe in community, come join ours. About this role Discovery is at the heart of Faire's value to retailers. Our pillar's mission is to help retailers discover products and brands their customers will love - whether they know exactly what they're looking for, or are just browsing for something new. This is one of the most consumer-facing PM roles at Faire. You will lead Inspire , the top-of-funnel discovery team responsible for Faire's most visited surfaces - the homepage, category pages, seasonal hubs, and global navigation - and you will own the vision and product strategy for the Faire mobile app . Inspire is the team building the next generation of wholesale discovery:", "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": 47, "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": "senior", "seniority_source": null, "years_experience_min": 8, "years_experience_max": 9, "role_function": "product", "role_function_source": null, "company_stage": null, "company_stage_source": null, "employer_industry": null, "employer_industry_source": null, "employer_size": "51-200", "quality_score": 55, "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": { "salary_min": { "tier": "inferred", "verified": false, "label": "Inferred - source not recorded", "source_label": "source not recorded", "href": null, "source_values": [], "checked_at": null }, "salary_max": { "tier": "inferred", "verified": false, "label": "Inferred - source not recorded", "source_label": "source not recorded", "href": null, "source_values": [], "checked_at": null }, "salary_type": { "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": "e6514e376c53ac65ee3c4765adb2f120", "title": "Applied AI / ML Scientist - Ads Bidding", "employer_name": "Faire", "employer_slug": "faire", "location_text": "San Francisco, CA", "country": "US", "employment_type": "unknown", "remote_status": "unspecified", "remote_status_source": null, "remote_status_enriched_at": null, "days_in_office": null, "timezone_overlap_hours": 6, "salary_min": 165500, "salary_max": 227500, "salary_min_source": null, "salary_max_source": null, "salary_currency": "USD", "salary_type": "base", "salary_type_source": null, "salary_type_enriched_at": null, "salary_period": "year", "base_salary_min": 165500, "base_salary_max": 227500, "salary_disclosed": true, "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", "cbinsights_unicorn", "sequoia", "foundersfund" ], "posted_at": "2026-06-07T17:58:24.000Z", "apply_url": "https://boards.greenhouse.io/faire/jobs/8400765002?gh_jid=8400765002", "apply_url_verified": false, "ats": "greenhouse", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Applied AI / ML Scientist - Ads Bidding San Francisco, CA About Faire Faire is a technology wholesale platform built on the belief that the future is local. Independent retailers around the globe collectively represent a multi-hundred-billion-dollar wholesale market that has historically been fragmented and offline. At Faire, we're using the power of tech, data, and machine learning to connect this thriving community of entrepreneurs across the globe. Picture your favorite boutique in town - we help them discover the best products from around the world to sell in their stores. With the right tools and insights, we believe that we can level the playing field so businesses can grow and local communities can thrive. We're looking for smart, resourceful and passionate people to join us as we power the shop local movement. If you believe in community, come join ours. About this Role The Ads Data team is building the next generation of advertising products for the wholesale industry. As a key member of this team, you'll shape the future of our ads marketplace and auction system at Faire-spanning auction design, bidding strategy, pacing, pricing, and budget optimization. Our in-house stack gives us unique end-to-end ownership, and our first-party conversion data allows us to train highly effective models and optimize for real, business-critical outcomes on behalf of our brands. This is a rare opportunity to be an early contributor to a fast-growing team in an incredibly strategic area of the business. Ads is a major company priority and you'll", "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": 47, "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": 2, "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": 55, "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": "doctorate", "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": { "salary_min": { "tier": "inferred", "verified": false, "label": "Inferred - source not recorded", "source_label": "source not recorded", "href": null, "source_values": [], "checked_at": null }, "salary_max": { "tier": "inferred", "verified": false, "label": "Inferred - source not recorded", "source_label": "source not recorded", "href": null, "source_values": [], "checked_at": null }, "salary_type": { "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": "e5a035ebd05aaf2f22b948e28d5f057e", "title": "Senior Applied AI/ML Scientist - Ads Bidding", "employer_name": "Faire", "employer_slug": "faire", "location_text": "San Francisco, CA", "country": "US", "employment_type": "unknown", "remote_status": "unspecified", "remote_status_source": null, "remote_status_enriched_at": null, "days_in_office": null, "timezone_overlap_hours": 6, "salary_min": 196000, "salary_max": 269500, "salary_min_source": null, "salary_max_source": null, "salary_currency": "USD", "salary_type": "base", "salary_type_source": null, "salary_type_enriched_at": null, "salary_period": "year", "base_salary_min": 196000, "base_salary_max": 269500, "salary_disclosed": true, "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", "cbinsights_unicorn", "sequoia", "foundersfund" ], "posted_at": "2026-06-07T17:58:24.000Z", "apply_url": "https://boards.greenhouse.io/faire/jobs/8398741002?gh_jid=8398741002", "apply_url_verified": false, "ats": "greenhouse", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Senior Applied AI/ML Scientist - Ads Bidding San Francisco, CA About Faire Faire is a technology wholesale platform built on the belief that the future is local. Independent retailers around the globe collectively represent a multi-hundred-billion-dollar wholesale market that has historically been fragmented and offline. At Faire, we're using the power of tech, data, and machine learning to connect this thriving community of entrepreneurs across the globe. Picture your favorite boutique in town - we help them discover the best products from around the world to sell in their stores. With the right tools and insights, we believe that we can level the playing field so businesses can grow and local communities can thrive. We're looking for smart, resourceful and passionate people to join us as we power the shop local movement. If you believe in community, come join ours. About this Role The Ads Data team is building the next generation of advertising products for the wholesale industry. As a key member of this team, you'll shape the future of our ads marketplace and auction system at Faire-spanning auction design, bidding strategy, pacing, pricing, and budget optimization. Our in-house stack gives us unique end-to-end ownership, and our first-party conversion data allows us to train highly effective models and optimize for real, business-critical outcomes on behalf of our brands. This is a rare opportunity to be an early contributor to a fast-growing team in an incredibly strategic area of the business. Ads is a major company priority and you'll have", "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": 47, "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": "senior", "seniority_source": null, "years_experience_min": 4, "years_experience_max": 9, "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": 55, "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": "doctorate", "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": { "salary_min": { "tier": "inferred", "verified": false, "label": "Inferred - source not recorded", "source_label": "source not recorded", "href": null, "source_values": [], "checked_at": null }, "salary_max": { "tier": "inferred", "verified": false, "label": "Inferred - source not recorded", "source_label": "source not recorded", "href": null, "source_values": [], "checked_at": null }, "salary_type": { "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": "e2fd31bdb50d42726147887b8c7a831d", "title": "Senior Lifecycle Marketing Manager", "employer_name": "Faire", "employer_slug": "faire", "location_text": "New York City, NY; San Francisco, CA", "country": "US", "employment_type": "unknown", "remote_status": "unspecified", "remote_status_source": null, "remote_status_enriched_at": null, "days_in_office": null, "timezone_overlap_hours": 6, "salary_min": 148000, "salary_max": 203500, "salary_min_source": null, "salary_max_source": null, "salary_currency": "USD", "salary_type": "base", "salary_type_source": null, "salary_type_enriched_at": null, "salary_period": "year", "base_salary_min": 148000, "base_salary_max": 203500, "salary_disclosed": true, "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", "cbinsights_unicorn", "sequoia", "foundersfund" ], "posted_at": "2026-06-07T17:58:24.000Z", "apply_url": "https://boards.greenhouse.io/faire/jobs/8564041002?gh_jid=8564041002", "apply_url_verified": false, "ats": "greenhouse", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Senior Lifecycle Marketing Manager New York City, NY; San Francisco, CA About Faire Faire is a technology wholesale platform built on the belief that the future is local. Independent retailers around the globe collectively represent a multi-hundred-billion-dollar wholesale market that has historically been fragmented and offline. At Faire, we're using the power of tech, data, and machine learning to connect this thriving community of entrepreneurs across the globe. Picture your favorite boutique in town - we help them discover the best products from around the world to sell in their stores. With the right tools and insights, we believe that we can level the playing field so businesses can grow and local communities can thrive. We're looking for smart, resourceful and passionate people to join us as we power the shop local movement. If you believe in community, come join ours. About this role We are looking for a data-driven email expert to join Faire's Growth Marketing team. As a Senior Lifecycle Marketing Manager, you'll be responsible for ideating, executing, and optimizing scaled lifecycle journeys to drive engagement and conversion. You'll collaborate closely with cross-functional partners across Design, Analytics, and Product to turn customer data into effective and dynamic email campaigns at scale. The ideal candidate has worked in an experimentation-driven environment, has a track record of using AI tools to automate team workflows, accelerate creative testing, and launch new channel experiments with minimal engineering or analytics support, and stays ahead of the curve with the latest digital marketing trends.", "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": 47, "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": "senior", "seniority_source": null, "years_experience_min": 4, "years_experience_max": 9, "role_function": "marketing", "role_function_source": null, "company_stage": null, "company_stage_source": null, "employer_industry": null, "employer_industry_source": null, "employer_size": "51-200", "quality_score": 55, "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": { "salary_min": { "tier": "inferred", "verified": false, "label": "Inferred - source not recorded", "source_label": "source not recorded", "href": null, "source_values": [], "checked_at": null }, "salary_max": { "tier": "inferred", "verified": false, "label": "Inferred - source not recorded", "source_label": "source not recorded", "href": null, "source_values": [], "checked_at": null }, "salary_type": { "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": "de2bf6e78e6c4545e79bbbd7a87a2d3d", "title": "Staff Accountant, GL", "employer_name": "Faire", "employer_slug": "faire", "location_text": "San Francisco, CA", "country": "US", "employment_type": "unknown", "remote_status": "unspecified", "remote_status_source": null, "remote_status_enriched_at": null, "days_in_office": null, "timezone_overlap_hours": 6, "salary_min": 88000, "salary_max": 121000, "salary_min_source": null, "salary_max_source": null, "salary_currency": "USD", "salary_type": "base", "salary_type_source": null, "salary_type_enriched_at": null, "salary_period": "year", "base_salary_min": 88000, "base_salary_max": 121000, "salary_disclosed": true, "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", "cbinsights_unicorn", "sequoia", "foundersfund" ], "posted_at": "2026-06-07T17:58:24.000Z", "apply_url": "https://boards.greenhouse.io/faire/jobs/8536596002?gh_jid=8536596002", "apply_url_verified": false, "ats": "greenhouse", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Staff Accountant, GL San Francisco, CA About Faire Faire is a technology wholesale platform built on the belief that the future is local. Independent retailers around the globe collectively represent a multi-hundred-billion-dollar wholesale market that has historically been fragmented and offline. At Faire, we're using the power of tech, data, and machine learning to connect this thriving community of entrepreneurs across the globe. Picture your favorite boutique in town - we help them discover the best products from around the world to sell in their stores. With the right tools and insights, we believe that we can level the playing field so businesses can grow and local communities can thrive. We're looking for smart, resourceful and passionate people to join us as we power the shop local movement. If you believe in community, come join ours. About this role We are seeking a highly motivated and detail-oriented General Ledger Staff Accountant to join our team. The ideal candidate will have experience with general ledger accounting and month-end close. In this role, you'll support core accounting operations, ensure accurate financial reporting, and help scale processes. You'll work cross-functionally and play a key role in maintaining the integrity of our financial data. This role will report directly to the Senior Accounting Manager. What you'll do Prepare and post journal entries and maintain the general ledger Perform monthly, quarterly, and year-end close activities Reconcile balance sheet accounts (cash, accruals, prepaid expenses, fixed assets, etc.) Support financial reporting and variance analysis Assist with 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": 47, "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": "staff_plus", "seniority_source": null, "years_experience_min": 2, "years_experience_max": 7, "role_function": "finance", "role_function_source": null, "company_stage": null, "company_stage_source": null, "employer_industry": null, "employer_industry_source": null, "employer_size": "51-200", "quality_score": 55, "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": "bachelors", "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": { "salary_min": { "tier": "inferred", "verified": false, "label": "Inferred - source not recorded", "source_label": "source not recorded", "href": null, "source_values": [], "checked_at": null }, "salary_max": { "tier": "inferred", "verified": false, "label": "Inferred - source not recorded", "source_label": "source not recorded", "href": null, "source_values": [], "checked_at": null }, "salary_type": { "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": "d7138bb6f5a85b3c2ea812f2d69efc14", "title": "Product Leadership, Value Pillar", "employer_name": "Faire", "employer_slug": "faire", "location_text": "San Francisco, CA", "country": "US", "employment_type": "unknown", "remote_status": "unspecified", "remote_status_source": null, "remote_status_enriched_at": null, "days_in_office": null, "timezone_overlap_hours": 6, "salary_min": 304000, "salary_max": 418000, "salary_min_source": null, "salary_max_source": null, "salary_currency": "USD", "salary_type": "base", "salary_type_source": null, "salary_type_enriched_at": null, "salary_period": "year", "base_salary_min": 304000, "base_salary_max": 418000, "salary_disclosed": true, "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", "cbinsights_unicorn", "sequoia", "foundersfund" ], "posted_at": "2026-06-07T17:58:24.000Z", "apply_url": "https://boards.greenhouse.io/faire/jobs/8443090002?gh_jid=8443090002", "apply_url_verified": false, "ats": "greenhouse", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Product Leadership, Value Pillar San Francisco, CA About Faire Faire is a technology wholesale platform built on the belief that the future is local. Independent retailers around the globe collectively represent a multi-hundred-billion-dollar wholesale market that has historically been fragmented and offline. At Faire, we're using the power of tech, data, and machine learning to connect this thriving community of entrepreneurs across the globe. Picture your favorite boutique in town - we help them discover the best products from around the world to sell in their stores. With the right tools and insights, we believe that we can level the playing field so businesses can grow and local communities can thrive. We're looking for smart, resourceful and passionate people to join us as we power the shop local movement. If you believe in community, come join ours. About this role Lead and scale Faire's core value programs - including Faire Source (Fulfilled by Faire), Faire Pay, Insider, and the operational systems that power shipping, risk, and retailer enablement - into durable growth engines that make wholesale buying on Faire simpler, more economical, and more compelling than any alternative. As the Value Pillar Lead, you will own the product strategy and economic performance of this portfolio - operating with the judgment and discipline of a business line owner while remaining deeply grounded in product craft. You will balance customer experience, adoption, margin, capital efficiency, operational reliability, and risk, ensuring that each program scales with economic discipline and long-term durability. You'll build", "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": 47, "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": "product", "role_function_source": null, "company_stage": null, "company_stage_source": null, "employer_industry": null, "employer_industry_source": null, "employer_size": "51-200", "quality_score": 55, "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": { "salary_min": { "tier": "inferred", "verified": false, "label": "Inferred - source not recorded", "source_label": "source not recorded", "href": null, "source_values": [], "checked_at": null }, "salary_max": { "tier": "inferred", "verified": false, "label": "Inferred - source not recorded", "source_label": "source not recorded", "href": null, "source_values": [], "checked_at": null }, "salary_type": { "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": "d4fe70490b3258222bf83ca94434f1bb", "title": "Senior Analytics Engineer - Marketplace", "employer_name": "Faire", "employer_slug": "faire", "location_text": "San Francisco, CA", "country": "US", "employment_type": "unknown", "remote_status": "unspecified", "remote_status_source": null, "remote_status_enriched_at": null, "days_in_office": null, "timezone_overlap_hours": 6, "salary_min": 196000, "salary_max": 269500, "salary_min_source": null, "salary_max_source": null, "salary_currency": "USD", "salary_type": "base", "salary_type_source": null, "salary_type_enriched_at": null, "salary_period": "year", "base_salary_min": 196000, "base_salary_max": 269500, "salary_disclosed": true, "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", "cbinsights_unicorn", "sequoia", "foundersfund" ], "posted_at": "2026-06-07T17:58:24.000Z", "apply_url": "https://boards.greenhouse.io/faire/jobs/8336548002?gh_jid=8336548002", "apply_url_verified": false, "ats": "greenhouse", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Senior Analytics Engineer - Marketplace San Francisco, CA About Faire Faire is a technology wholesale platform built on the belief that the future is local. Independent retailers around the globe collectively represent a multi-hundred-billion-dollar wholesale market that has historically been fragmented and offline. At Faire, we're using the power of tech, data, and machine learning to connect this thriving community of entrepreneurs across the globe. Picture your favorite boutique in town - we help them discover the best products from around the world to sell in their stores. With the right tools and insights, we believe that we can level the playing field so businesses can grow and local communities can thrive. We're looking for smart, resourceful and passionate people to join us as we power the shop local movement. If you believe in community, come join ours. About the role Are you passionate about using data to shape the future of Faire's product features for small and medium businesses (SMBs)? If so, we want to talk to you! We're looking for a technical leader in our team to work closely with Data Scientists, Product Analysts and Software Engineers to support product launches and roadmaps by designing and building data capabilities that inform and drive insights. In this role, you'll see a direct link between your work, company growth, and user satisfaction. You'll work with A tier players, work with one of the richest data sets in the world, use cutting-edge technology, and see your efforts affect products and SMBs", "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": 47, "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": "senior", "seniority_source": null, "years_experience_min": 4, "years_experience_max": 8, "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": 55, "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": "bachelors", "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": { "salary_min": { "tier": "inferred", "verified": false, "label": "Inferred - source not recorded", "source_label": "source not recorded", "href": null, "source_values": [], "checked_at": null }, "salary_max": { "tier": "inferred", "verified": false, "label": "Inferred - source not recorded", "source_label": "source not recorded", "href": null, "source_values": [], "checked_at": null }, "salary_type": { "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": "cc7e3fa48d0d6165ae86f8aef6fa6e97", "title": "Staff Product Manager, Search Algorithms", "employer_name": "Faire", "employer_slug": "faire", "location_text": "New York City, NY; San Francisco, CA", "country": "US", "employment_type": "unknown", "remote_status": "unspecified", "remote_status_source": null, "remote_status_enriched_at": null, "days_in_office": null, "timezone_overlap_hours": 6, "salary_min": 220000, "salary_max": 302500, "salary_min_source": null, "salary_max_source": null, "salary_currency": "USD", "salary_type": "base", "salary_type_source": null, "salary_type_enriched_at": null, "salary_period": "year", "base_salary_min": 220000, "base_salary_max": 302500, "salary_disclosed": true, "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", "cbinsights_unicorn", "sequoia", "foundersfund" ], "posted_at": "2026-06-07T17:58:24.000Z", "apply_url": "https://boards.greenhouse.io/faire/jobs/8431976002?gh_jid=8431976002", "apply_url_verified": false, "ats": "greenhouse", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Staff Product Manager, Search Algorithms New York City, NY; San Francisco, CA About Faire Faire is a technology wholesale platform built on the belief that the future is local. Independent retailers around the globe collectively represent a multi-hundred-billion-dollar wholesale market that has historically been fragmented and offline. At Faire, we're using the power of tech, data, and machine learning to connect this thriving community of entrepreneurs across the globe. Picture your favorite boutique in town - we help them discover the best products from around the world to sell in their stores. With the right tools and insights, we believe that we can level the playing field so businesses can grow and local communities can thrive. We're looking for smart, resourceful and passionate people to join us as we power the shop local movement. If you believe in community, come join ours. About this role The Discovery pillar's core mission is to make it easy and delightful for retailers to find brands and products their customers will love. This role will own product development of our algorithms powering search, the largest discovery surface by order volume. What you'll do Develop and execute on a strategy that takes our search algorithms to the next level Refine our breakdown of key search query segments, identify novel opportunities for improvements, and diagnose root causes for today's failure modes Refine our suite of offline and online metrics to help us better understand the retailer's search experience and the performance of each component of our", "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": 47, "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": "senior", "seniority_source": null, "years_experience_min": 7, "years_experience_max": 11, "role_function": "product", "role_function_source": null, "company_stage": null, "company_stage_source": null, "employer_industry": null, "employer_industry_source": null, "employer_size": "51-200", "quality_score": 55, "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": "bachelors", "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": { "salary_min": { "tier": "inferred", "verified": false, "label": "Inferred - source not recorded", "source_label": "source not recorded", "href": null, "source_values": [], "checked_at": null }, "salary_max": { "tier": "inferred", "verified": false, "label": "Inferred - source not recorded", "source_label": "source not recorded", "href": null, "source_values": [], "checked_at": null }, "salary_type": { "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": "cc3e1e7f209b910355f8cb959e75a093", "title": "Strategy & Analytics, Product Senior Lead", "employer_name": "Faire", "employer_slug": "faire", "location_text": "New York City, NY; San Francisco, CA", "country": "US", "employment_type": "unknown", "remote_status": "unspecified", "remote_status_source": null, "remote_status_enriched_at": null, "days_in_office": null, "timezone_overlap_hours": 6, "salary_min": 197500, "salary_max": 271500, "salary_min_source": null, "salary_max_source": null, "salary_currency": "USD", "salary_type": "base", "salary_type_source": null, "salary_type_enriched_at": null, "salary_period": "year", "base_salary_min": 197500, "base_salary_max": 271500, "salary_disclosed": true, "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", "cbinsights_unicorn", "sequoia", "foundersfund" ], "posted_at": "2026-06-07T17:58:24.000Z", "apply_url": "https://boards.greenhouse.io/faire/jobs/8396231002?gh_jid=8396231002", "apply_url_verified": false, "ats": "greenhouse", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Strategy & Analytics, Product Senior Lead New York City, NY; San Francisco, CA About Faire Faire is a technology wholesale platform built on the belief that the future is local. Independent retailers around the globe collectively represent a multi-hundred-billion-dollar wholesale market that has historically been fragmented and offline. At Faire, we're using the power of tech, data, and machine learning to connect this thriving community of entrepreneurs across the globe. Picture your favorite boutique in town - we help them discover the best products from around the world to sell in their stores. With the right tools and insights, we believe that we can level the playing field so businesses can grow and local communities can thrive. We're looking for smart, resourceful and passionate people to join us as we power the shop local movement. If you believe in community, come join ours. About this role We are looking for a Strategy & Analytics Senior Lead to drive better product decisions, faster. In this role, you'll leverage a unique combination of skills including analytical rigor, strategic intuition, and execution to drive growth for our business. At Faire, you'll have the chance to lead mission-critical projects end to end. You'll be partnering cross functionally with Product, Sales, Operations, Marketing, and Finance teams to inform the strategic roadmap by generating insights and helping translate them into action. This is an ideal role for someone who wants to work as a high-impact individual contributor in a fast-paced, highly collaborative, and data-driven environment 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": 47, "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": "senior", "seniority_source": null, "years_experience_min": 8, "years_experience_max": 9, "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": 55, "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": { "salary_min": { "tier": "inferred", "verified": false, "label": "Inferred - source not recorded", "source_label": "source not recorded", "href": null, "source_values": [], "checked_at": null }, "salary_max": { "tier": "inferred", "verified": false, "label": "Inferred - source not recorded", "source_label": "source not recorded", "href": null, "source_values": [], "checked_at": null }, "salary_type": { "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": "c9ff31a225a5329ebf5a34c272d42b23", "title": "Senior Legal Technology & Operations Lead", "employer_name": "Faire", "employer_slug": "faire", "location_text": "San Francisco, CA", "country": "US", "employment_type": "contract", "remote_status": "unspecified", "remote_status_source": null, "remote_status_enriched_at": null, "days_in_office": null, "timezone_overlap_hours": 6, "salary_min": 136000, "salary_max": 187000, "salary_min_source": null, "salary_max_source": null, "salary_currency": "USD", "salary_type": "base", "salary_type_source": null, "salary_type_enriched_at": null, "salary_period": "year", "base_salary_min": 136000, "base_salary_max": 187000, "salary_disclosed": true, "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", "cbinsights_unicorn", "sequoia", "foundersfund" ], "posted_at": "2026-06-07T17:58:24.000Z", "apply_url": "https://boards.greenhouse.io/faire/jobs/8574947002?gh_jid=8574947002", "apply_url_verified": false, "ats": "greenhouse", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Senior Legal Technology & Operations Lead San Francisco, CA About Faire Faire is a technology wholesale platform built on the belief that the future is local. Independent retailers around the globe collectively represent a multi-hundred-billion-dollar wholesale market that has historically been fragmented and offline. At Faire, we're using the power of tech, data, and machine learning to connect this thriving community of entrepreneurs across the globe. Picture your favorite boutique in town - we help them discover the best products from around the world to sell in their stores. With the right tools and insights, we believe that we can level the playing field so businesses can grow and local communities can thrive. We're looking for smart, resourceful and passionate people to join us as we power the shop local movement. If you believe in community, come join ours. About this role Faire is hiring a Senior Legal Technology & Operations Lead to shape the future of how our Legal team works. You'll help define Legal's AI roadmap, uplevel the team's operating performance, and run the systems and programs that allow Legal to scale with the business. We're looking for someone with deep familiarity across the legal technology stack and a strong track record in cross-functional program management. Success in this role requires being both a builder and an architect, pairing the ability to develop a long-term vision for world class legal operations with an operator's willingness to drive execution and make it happen (fast). What you'll do Help define", "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": 47, "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": "senior", "seniority_source": null, "years_experience_min": 5, "years_experience_max": 9, "role_function": "legal", "role_function_source": null, "company_stage": null, "company_stage_source": null, "employer_industry": null, "employer_industry_source": null, "employer_size": "51-200", "quality_score": 55, "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": { "salary_min": { "tier": "inferred", "verified": false, "label": "Inferred - source not recorded", "source_label": "source not recorded", "href": null, "source_values": [], "checked_at": null }, "salary_max": { "tier": "inferred", "verified": false, "label": "Inferred - source not recorded", "source_label": "source not recorded", "href": null, "source_values": [], "checked_at": null }, "salary_type": { "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": "c593f01375e9402de948c8e374a85b1e", "title": "Lead Product Designer", "employer_name": "Faire", "employer_slug": "faire", "location_text": "New York City, NY; San Francisco, CA", "country": "US", "employment_type": "unknown", "remote_status": "unspecified", "remote_status_source": null, "remote_status_enriched_at": null, "days_in_office": null, "timezone_overlap_hours": 6, "salary_min": 184000, "salary_max": 253000, "salary_min_source": null, "salary_max_source": null, "salary_currency": "USD", "salary_type": "base", "salary_type_source": null, "salary_type_enriched_at": null, "salary_period": "year", "base_salary_min": 184000, "base_salary_max": 253000, "salary_disclosed": true, "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", "cbinsights_unicorn", "sequoia", "foundersfund" ], "posted_at": "2026-06-07T17:58:24.000Z", "apply_url": "https://boards.greenhouse.io/faire/jobs/8445630002?gh_jid=8445630002", "apply_url_verified": false, "ats": "greenhouse", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Lead Product Designer New York City, NY; San Francisco, CA About Faire Faire is a technology wholesale platform built on the belief that the future is local. Independent retailers around the globe collectively represent a multi-hundred-billion-dollar wholesale market that has historically been fragmented and offline. At Faire, we're using the power of tech, data, and machine learning to connect this thriving community of entrepreneurs across the globe. Picture your favorite boutique in town - we help them discover the best products from around the world to sell in their stores. With the right tools and insights, we believe that we can level the playing field so businesses can grow and local communities can thrive. We're looking for smart, resourceful and passionate people to join us as we power the shop local movement. If you believe in community, come join ours. About this role Faire is a company invested in good design-as a Lead Product Designer, you'll join a tight-knit, collaborative team of designers who care deeply about creating beautiful and intuitive experiences. Our team is at the center of product work at Faire, designing experiences for the thousands of small retailers and maker brands growing their businesses in our marketplace. In this role, you'll help shape Faire's product, working with team members across research, engineering, product, and customer service. You'll embed in a product team and focus on designing features and experiences for a strategic pillar of our product. As a design lead, you'll strive to understand our customers' challenges", "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": 47, "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": "senior", "seniority_source": null, "years_experience_min": 6, "years_experience_max": 10, "role_function": "design", "role_function_source": null, "company_stage": null, "company_stage_source": null, "employer_industry": null, "employer_industry_source": null, "employer_size": "51-200", "quality_score": 55, "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": { "salary_min": { "tier": "inferred", "verified": false, "label": "Inferred - source not recorded", "source_label": "source not recorded", "href": null, "source_values": [], "checked_at": null }, "salary_max": { "tier": "inferred", "verified": false, "label": "Inferred - source not recorded", "source_label": "source not recorded", "href": null, "source_values": [], "checked_at": null }, "salary_type": { "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": "c387177362d7f48c18923a75b14baa57", "title": "Staff Product Manager, Pricing", "employer_name": "Faire", "employer_slug": "faire", "location_text": "New York City, NY; San Francisco, CA", "country": "US", "employment_type": "unknown", "remote_status": "unspecified", "remote_status_source": null, "remote_status_enriched_at": null, "days_in_office": null, "timezone_overlap_hours": 6, "salary_min": 220000, "salary_max": 302500, "salary_min_source": null, "salary_max_source": null, "salary_currency": "USD", "salary_type": "base", "salary_type_source": null, "salary_type_enriched_at": null, "salary_period": "year", "base_salary_min": 220000, "base_salary_max": 302500, "salary_disclosed": true, "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", "cbinsights_unicorn", "sequoia", "foundersfund" ], "posted_at": "2026-06-07T17:58:24.000Z", "apply_url": "https://boards.greenhouse.io/faire/jobs/8462945002?gh_jid=8462945002", "apply_url_verified": false, "ats": "greenhouse", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Staff Product Manager, Pricing New York City, NY; San Francisco, CA About Faire Faire is a technology wholesale platform built on the belief that the future is local. Independent retailers around the globe collectively represent a multi-hundred-billion-dollar wholesale market that has historically been fragmented and offline. At Faire, we're using the power of tech, data, and machine learning to connect this thriving community of entrepreneurs across the globe. Picture your favorite boutique in town - we help them discover the best products from around the world to sell in their stores. With the right tools and insights, we believe that we can level the playing field so businesses can grow and local communities can thrive. We're looking for smart, resourceful and passionate people to join us as we power the shop local movement. If you believe in community, come join ours. About this role You will own one of the most impactful levers for brand success and growth: pricing. As the Staff PM for Brand Pricing, your mission is to help brands offer compelling, competitive prices that drive sales - building the tools, insights, and experiences that make it easy for brands to set the right prices, and for retailers to identify the smartest buying choices for their stores. Pricing is a complex problem that sits at the intersection of brand economics, retailer buying behavior, and marketplace dynamics. You'll design products that help brands understand how their pricing is performing, surface opportunities to grow their sales through smarter pricing decisions,", "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": 47, "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": "senior", "seniority_source": null, "years_experience_min": 8, "years_experience_max": 12, "role_function": "product", "role_function_source": null, "company_stage": null, "company_stage_source": null, "employer_industry": null, "employer_industry_source": null, "employer_size": "51-200", "quality_score": 55, "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": "bachelors", "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": { "salary_min": { "tier": "inferred", "verified": false, "label": "Inferred - source not recorded", "source_label": "source not recorded", "href": null, "source_values": [], "checked_at": null }, "salary_max": { "tier": "inferred", "verified": false, "label": "Inferred - source not recorded", "source_label": "source not recorded", "href": null, "source_values": [], "checked_at": null }, "salary_type": { "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": "c0cf77ed8b1a41222d4449ae22d98ce6", "title": "Senior Applied AI/ML Scientist - Fulfillment", "employer_name": "Faire", "employer_slug": "faire", "location_text": "San Francisco, CA", "country": "US", "employment_type": "unknown", "remote_status": "unspecified", "remote_status_source": null, "remote_status_enriched_at": null, "days_in_office": null, "timezone_overlap_hours": 6, "salary_min": 196000, "salary_max": 269500, "salary_min_source": null, "salary_max_source": null, "salary_currency": "USD", "salary_type": "base", "salary_type_source": null, "salary_type_enriched_at": null, "salary_period": "year", "base_salary_min": 196000, "base_salary_max": 269500, "salary_disclosed": true, "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", "cbinsights_unicorn", "sequoia", "foundersfund" ], "posted_at": "2026-06-07T17:58:24.000Z", "apply_url": "https://boards.greenhouse.io/faire/jobs/8525082002?gh_jid=8525082002", "apply_url_verified": false, "ats": "greenhouse", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Senior Applied AI/ML Scientist - Fulfillment San Francisco, CA About Faire Faire is a technology wholesale platform built on the belief that the future is local. Independent retailers around the globe collectively represent a multi-hundred-billion-dollar wholesale market that has historically been fragmented and offline. At Faire, we're using the power of tech, data, and machine learning to connect this thriving community of entrepreneurs across the globe. Picture your favorite boutique in town - we help them discover the best products from around the world to sell in their stores. With the right tools and insights, we believe that we can level the playing field so businesses can grow and local communities can thrive. We're looking for smart, resourceful and passionate people to join us as we power the shop local movement. If you believe in community, come join ours. About this role Faire leverages the power of machine learning (ML) and data insights to revolutionize the wholesale industry, enabling local retailers to compete against giants like Amazon and big box stores. Our highly skilled team of Applied AI/ML Scientist and machine learning engineers specialize in developing algorithmic solutions for notification and recommender systems, advertising attribution, and Lifetime Value (LTV) predictions. Our ultimate goal is to empower local retail businesses with the tools they need to succeed. At Faire, the Data team is responsible for creating and maintaining a diverse range of algorithms and models that power our marketplace. We are dedicated to building machine learning models that help our 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": 47, "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": "senior", "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": 55, "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": "doctorate", "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": { "salary_min": { "tier": "inferred", "verified": false, "label": "Inferred - source not recorded", "source_label": "source not recorded", "href": null, "source_values": [], "checked_at": null }, "salary_max": { "tier": "inferred", "verified": false, "label": "Inferred - source not recorded", "source_label": "source not recorded", "href": null, "source_values": [], "checked_at": null }, "salary_type": { "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": "b51e68345c8dff325d2c1fded011354b", "title": "Senior Staff Engineer - Product Security", "employer_name": "Faire", "employer_slug": "faire", "location_text": "San Francisco, CA", "country": "US", "employment_type": "unknown", "remote_status": "unspecified", "remote_status_source": null, "remote_status_enriched_at": null, "days_in_office": null, "timezone_overlap_hours": 6, "salary_min": 268000, "salary_max": 368500, "salary_min_source": null, "salary_max_source": null, "salary_currency": "USD", "salary_type": "base", "salary_type_source": null, "salary_type_enriched_at": null, "salary_period": "year", "base_salary_min": 268000, "base_salary_max": 368500, "salary_disclosed": true, "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", "cbinsights_unicorn", "sequoia", "foundersfund" ], "posted_at": "2026-06-07T17:58:24.000Z", "apply_url": "https://boards.greenhouse.io/faire/jobs/8462924002?gh_jid=8462924002", "apply_url_verified": false, "ats": "greenhouse", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Senior Staff Engineer - Product Security San Francisco, CA About Faire Faire is a technology wholesale platform built on the belief that the future is local. Independent retailers around the globe collectively represent a multi-hundred-billion-dollar wholesale market that has historically been fragmented and offline. At Faire, we're using the power of tech, data, and machine learning to connect this thriving community of entrepreneurs across the globe. Picture your favorite boutique in town - we help them discover the best products from around the world to sell in their stores. With the right tools and insights, we believe that we can level the playing field so businesses can grow and local communities can thrive. We're looking for smart, resourceful and passionate people to join us as we power the shop local movement. If you believe in community, come join ours. About this role: Faire operates at serious scale - a global marketplace handling real money movement, sensitive business data, and the financial futures of hundreds of thousands of independent retailers and brands. Security here isn't a compliance checkbox. It's a core part of how we build, and how we grow. We've built solid security foundations. Now we're looking for someone to take them to the next level - designing the architecture and automation that lets product engineers build securely by default, without friction. If you're energized by the challenge of making security invisible to developers while making it impossible to skip, this role was written for you. Our Engineering organization owns", "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": 47, "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": "staff_plus", "seniority_source": null, "years_experience_min": 5, "years_experience_max": 9, "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": 55, "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": { "salary_min": { "tier": "inferred", "verified": false, "label": "Inferred - source not recorded", "source_label": "source not recorded", "href": null, "source_values": [], "checked_at": null }, "salary_max": { "tier": "inferred", "verified": false, "label": "Inferred - source not recorded", "source_label": "source not recorded", "href": null, "source_values": [], "checked_at": null }, "salary_type": { "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": "b4fe734aacf1fbc53b5773bd3a1c200f", "title": "Senior Product Marketing Manager", "employer_name": "Faire", "employer_slug": "faire", "location_text": "San Francisco, CA", "country": "US", "employment_type": "unknown", "remote_status": "unspecified", "remote_status_source": null, "remote_status_enriched_at": null, "days_in_office": null, "timezone_overlap_hours": 6, "salary_min": 148000, "salary_max": 203500, "salary_min_source": null, "salary_max_source": null, "salary_currency": "USD", "salary_type": "base", "salary_type_source": null, "salary_type_enriched_at": null, "salary_period": "year", "base_salary_min": 148000, "base_salary_max": 203500, "salary_disclosed": true, "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", "cbinsights_unicorn", "sequoia", "foundersfund" ], "posted_at": "2026-06-07T17:58:24.000Z", "apply_url": "https://boards.greenhouse.io/faire/jobs/8580772002?gh_jid=8580772002", "apply_url_verified": false, "ats": "greenhouse", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Senior Product Marketing Manager San Francisco, CA About Faire Faire is a technology wholesale platform built on the belief that the future is local. Independent retailers around the globe collectively represent a multi-hundred-billion-dollar wholesale market that has historically been fragmented and offline. At Faire, we're using the power of tech, data, and machine learning to connect this thriving community of entrepreneurs across the globe. Picture your favorite boutique in town - we help them discover the best products from around the world to sell in their stores. With the right tools and insights, we believe that we can level the playing field so businesses can grow and local communities can thrive. We're looking for smart, resourceful and passionate people to join us as we power the shop local movement. If you believe in community, come join ours. About this role Product Marketing at Faire is a strategic function embedded across the product lifecycle. PMMs partner closely with Product, Design, Marketing, and Revenue to shape programs from the ground up, develop positioning and messaging, lead GTM strategy, and drive awareness and adoption. We have PMMs focused on each side of the marketplace: the brands who sell on Faire, and the retailers who buy from them. We're looking for a senior product marketer who can own a meaningful product area, build GTM strategy from scratch, and grow their remit over time as business needs shift. This is a role for someone who makes complex products feel simple to customers, moves comfortably between", "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": 47, "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": "senior", "seniority_source": null, "years_experience_min": 6, "years_experience_max": 9, "role_function": "marketing", "role_function_source": null, "company_stage": null, "company_stage_source": null, "employer_industry": null, "employer_industry_source": null, "employer_size": "51-200", "quality_score": 55, "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": { "salary_min": { "tier": "inferred", "verified": false, "label": "Inferred - source not recorded", "source_label": "source not recorded", "href": null, "source_values": [], "checked_at": null }, "salary_max": { "tier": "inferred", "verified": false, "label": "Inferred - source not recorded", "source_label": "source not recorded", "href": null, "source_values": [], "checked_at": null }, "salary_type": { "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": "ae19abe8e31bc6f937673ebf7c888f1a", "title": "Growth Marketing Manager, Paid Social", "employer_name": "Faire", "employer_slug": "faire", "location_text": "New York City, NY; San Francisco, CA", "country": "US", "employment_type": "unknown", "remote_status": "unspecified", "remote_status_source": null, "remote_status_enriched_at": null, "days_in_office": null, "timezone_overlap_hours": 6, "salary_min": 118500, "salary_max": 163000, "salary_min_source": null, "salary_max_source": null, "salary_currency": "USD", "salary_type": "base", "salary_type_source": null, "salary_type_enriched_at": null, "salary_period": "year", "base_salary_min": 118500, "base_salary_max": 163000, "salary_disclosed": true, "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", "cbinsights_unicorn", "sequoia", "foundersfund" ], "posted_at": "2026-06-07T17:58:24.000Z", "apply_url": "https://boards.greenhouse.io/faire/jobs/8541548002?gh_jid=8541548002", "apply_url_verified": false, "ats": "greenhouse", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Growth Marketing Manager, Paid Social New York City, NY; San Francisco, CA About Faire Faire is a technology wholesale platform built on the belief that the future is local. Independent retailers around the globe collectively represent a multi-hundred-billion-dollar wholesale market that has historically been fragmented and offline. At Faire, we're using the power of tech, data, and machine learning to connect this thriving community of entrepreneurs across the globe. Picture your favorite boutique in town - we help them discover the best products from around the world to sell in their stores. With the right tools and insights, we believe that we can level the playing field so businesses can grow and local communities can thrive. We're looking for smart, resourceful and passionate people to join us as we power the shop local movement. If you believe in community, come join ours. About this role We are looking for a highly analytical and resourceful Growth Marketing Manager to drive the execution of our paid social and retargeting programs. This is an experimentation-heavy role focused on advancing a broad range of growth initiatives, from scaling Faire's paid retargeting program to launching brand acquisition tests. Additionally, the role will support day-to-day paid social campaign management to ensure we hit KPI goals through the optimization of key performance levers. The ideal candidate is a scrappy, metrics-driven self-starter who is well-versed in the Meta platform and other paid social platforms, is comfortable managing campaigns with some guidance, and is eager to continuously explore new", "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": 47, "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": 9, "role_function": "marketing", "role_function_source": null, "company_stage": null, "company_stage_source": null, "employer_industry": null, "employer_industry_source": null, "employer_size": "51-200", "quality_score": 55, "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": { "salary_min": { "tier": "inferred", "verified": false, "label": "Inferred - source not recorded", "source_label": "source not recorded", "href": null, "source_values": [], "checked_at": null }, "salary_max": { "tier": "inferred", "verified": false, "label": "Inferred - source not recorded", "source_label": "source not recorded", "href": null, "source_values": [], "checked_at": null }, "salary_type": { "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": "a84d6332fa9a475e2e3a2c0afb3b371d", "title": "Fraud Strategy Lead", "employer_name": "Faire", "employer_slug": "faire", "location_text": "San Francisco, CA", "country": "US", "employment_type": "unknown", "remote_status": "unspecified", "remote_status_source": null, "remote_status_enriched_at": null, "days_in_office": null, "timezone_overlap_hours": 6, "salary_min": 144000, "salary_max": 198000, "salary_min_source": null, "salary_max_source": null, "salary_currency": "USD", "salary_type": "base", "salary_type_source": null, "salary_type_enriched_at": null, "salary_period": "year", "base_salary_min": 144000, "base_salary_max": 198000, "salary_disclosed": true, "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", "cbinsights_unicorn", "sequoia", "foundersfund" ], "posted_at": "2026-06-07T17:58:24.000Z", "apply_url": "https://boards.greenhouse.io/faire/jobs/8531296002?gh_jid=8531296002", "apply_url_verified": false, "ats": "greenhouse", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Fraud Strategy Lead San Francisco, CA About Faire Faire is a technology wholesale platform built on the belief that the future is local. Independent retailers around the globe collectively represent a multi-hundred-billion-dollar wholesale market that has historically been fragmented and offline. At Faire, we're using the power of tech, data, and machine learning to connect this thriving community of entrepreneurs across the globe. Picture your favorite boutique in town - we help them discover the best products from around the world to sell in their stores. With the right tools and insights, we believe that we can level the playing field so businesses can grow and local communities can thrive. We're looking for smart, resourceful and passionate people to join us as we power the shop local movement. If you believe in community, come join ours. About this role We're looking for an experienced Fraud Strategy Lead to help shape the strategies that protect the integrity of our community of brands and retailers. In this role, you'll own end-to-end management of strategic fraud initiatives, translate company goals into team priorities, and act as a domain expert across the organization. As a senior member of the Risk org's Fraud & Abuse team, you'll partner closely with leaders across Data Science, Engineering, Product, Legal and CX to advance fraud capabilities and deliver data-backed strategies that enable Faire to innovate while keeping our customers safe. You'll spend most of your time on strategic work while mentoring others and elevating team performance. 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": 47, "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": "senior", "seniority_source": null, "years_experience_min": 5, "years_experience_max": 9, "role_function": "operations", "role_function_source": null, "company_stage": null, "company_stage_source": null, "employer_industry": null, "employer_industry_source": null, "employer_size": "51-200", "quality_score": 55, "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": "bachelors", "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": { "salary_min": { "tier": "inferred", "verified": false, "label": "Inferred - source not recorded", "source_label": "source not recorded", "href": null, "source_values": [], "checked_at": null }, "salary_max": { "tier": "inferred", "verified": false, "label": "Inferred - source not recorded", "source_label": "source not recorded", "href": null, "source_values": [], "checked_at": null }, "salary_type": { "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": "Faire", "url": "https://faire.com", "sameAs": [] }, { "@context": "https://schema.org", "@type": "ItemList", "name": "Faire open jobs", "itemListElement": [ { "@type": "ListItem", "position": 1, "url": "https://fewerjobs.com/jobs/faire/marketing-analytics-senior-associate-af68fffa", "item": { "@context": "https://schema.org", "@type": "JobPosting", "title": "Marketing Analytics Senior Associate", "description": "

Marketing Analytics Senior Associate at Faire - New York City, NY; San Francisco, CA - Marketing Analytics Senior Associate New York City, NY; San Francisco, CA About Faire Faire is a technology wholesale platform built on the belief that the future is local. Independent retailers around the globe collectively represent a multi-hundred-billion-dollar wholesale market that has historically been fragmented and offline. At Faire, we're using the power of tech, data, and machine learning to connect this thriving community of entrepreneurs across the globe. Picture your favorite boutique in town - we help them discover the best products from around the world to sell in their stores. With the right tools and insights, we believe that we can level the playing field so businesses can grow and local communities can thrive. We're looking for smart, resourceful and passionate people to join us as we power the shop local movement. If you believe in community, come join ours. About this role We're looking for a stellar marketing data analyst to use data to drive growth strategies and maximize ROI of growth channels across Faire. This person will serve as a key partner to strategic finance & marketing managers, owning things like marketing payback framework, planning and forecasting, lifecycle experimentation, marketing channel analyses, A/B testing and attribution over time. Specifically, this individual will work on brand and retailer marketing analytics using attribution, A/B testing, and strategic analysis to either uncover opportunity areas for growth for marketing or to increase efficiency. What you'll do Be an expert on Marketing Attribution. Manage attribution and data ETLs and partner across the

", "datePosted": "2026-06-12T10:25:24.000Z", "employmentType": "OTHER", "identifier": { "@type": "PropertyValue", "name": "Faire", "value": "af68fffa950a8a7470f6222c95278be8" }, "hiringOrganization": { "@type": "Organization", "name": "Faire" }, "jobLocation": { "@type": "Place", "address": { "@type": "PostalAddress", "addressCountry": "US", "addressLocality": "New York City" } }, "baseSalary": { "@type": "MonetaryAmount", "currency": "USD", "value": { "@type": "QuantitativeValue", "minValue": 128000, "maxValue": 176000, "unitText": "YEAR" } }, "directApply": false, "incentiveCompensation": "Equity (Options)", "experienceRequirements": { "@type": "OccupationalExperienceRequirements", "monthsOfExperience": 48 }, "educationRequirements": "Bachelors", "url": "https://fewerjobs.com/jobs/faire/marketing-analytics-senior-associate-af68fffa" } }, { "@type": "ListItem", "position": 2, "url": "https://fewerjobs.com/jobs/faire/tax-senior-analyst-87e30bcb", "item": { "@context": "https://schema.org", "@type": "JobPosting", "title": "Tax Senior Analyst", "description": "

Tax Senior Analyst at Faire - San Francisco, CA - Tax Senior Analyst San Francisco, CA About Faire Faire is a technology wholesale platform built on the belief that the future is local. Independent retailers around the globe collectively represent a multi-hundred-billion-dollar wholesale market that has historically been fragmented and offline. At Faire, we're using the power of tech, data, and machine learning to connect this thriving community of entrepreneurs across the globe. Picture your favorite boutique in town - we help them discover the best products from around the world to sell in their stores. With the right tools and insights, we believe that we can level the playing field so businesses can grow and local communities can thrive. We're looking for smart, resourceful and passionate people to join us as we power the shop local movement. If you believe in community, come join ours. About this role This position will be a key contributor to the tax team and will be responsible for providing income tax provision and direct and indirect tax compliance support, as well as process improvements to scale tax operations. This candidate should expect to work cross-functionally and collaboratively and manage multiple deliverables in a fast-paced environment. This position will report to the Head of Tax Reporting and Compliance. What you'll do The successful candidate will assist with domestic and international tax reporting and compliance. The role will also involve assisting with the tax aspects of business initiatives and product launches. Support the monthly close process, including the preparation of tax account reconciliations and transfer

", "datePosted": "2026-06-10T03:52:15.000Z", "employmentType": "OTHER", "identifier": { "@type": "PropertyValue", "name": "Faire", "value": "87e30bcbefe2867f8a98d220237b6852" }, "hiringOrganization": { "@type": "Organization", "name": "Faire" }, "jobLocation": { "@type": "Place", "address": { "@type": "PostalAddress", "addressCountry": "US", "addressLocality": "San Francisco" } }, "baseSalary": { "@type": "MonetaryAmount", "currency": "USD", "value": { "@type": "QuantitativeValue", "minValue": 125500, "maxValue": 172500, "unitText": "YEAR" } }, "directApply": false, "incentiveCompensation": "Equity (Options)", "experienceRequirements": { "@type": "OccupationalExperienceRequirements", "monthsOfExperience": 48 }, "educationRequirements": "Bachelors", "url": "https://fewerjobs.com/jobs/faire/tax-senior-analyst-87e30bcb" } }, { "@type": "ListItem", "position": 3, "url": "https://fewerjobs.com/jobs/faire/staff-machine-learning-platform-engineer-fce368a8", "item": { "@context": "https://schema.org", "@type": "JobPosting", "title": "Staff Machine Learning Platform Engineer", "description": "

Staff Machine Learning Platform Engineer at Faire - Kitchener-Waterloo, ON; Toronto, ON - Staff Machine Learning Platform Engineer Kitchener-Waterloo, ON; Toronto, ON About Faire Faire is a technology wholesale platform built on the belief that the future is local. Independent retailers around the globe collectively represent a multi-hundred-billion-dollar wholesale market that has historically been fragmented and offline. At Faire, we're using the power of tech, data, and machine learning to connect this thriving community of entrepreneurs across the globe. Picture your favorite boutique in town - we help them discover the best products from around the world to sell in their stores. With the right tools and insights, we believe that we can level the playing field so businesses can grow and local communities can thrive. We're looking for smart, resourceful and passionate people to join us as we power the shop local movement. If you believe in community, come join ours. About this role As a Staff Machine Learning Platform Engineer, you will help design, improve, and operate a scalable ML platform to accelerate model training, deployment, and governance. You are the technical bridge between data science and production engineering. You'll be joining a small but deeply critical team that scales Faire's ability to support tens of thousands of local businesses in a constantly narrowing retail landscape. What You Will Do Design and operate ML infrastructure, including workspaces, clusters, jobs, and workflows Productionize ML workloads using Spark, Delta Lake, MLflow, and Databricks Workflows Teach data scientists how to utilize our ML platform to advance development from notebook to production for our most

", "datePosted": "2026-06-07T17:58:24.000Z", "employmentType": "OTHER", "identifier": { "@type": "PropertyValue", "name": "Faire", "value": "fce368a85652a0fdbc67ba9f40750df0" }, "hiringOrganization": { "@type": "Organization", "name": "Faire" }, "jobLocation": { "@type": "Place", "address": { "@type": "PostalAddress", "addressCountry": "CA", "addressLocality": "Kitchener-Waterloo" } }, "baseSalary": { "@type": "MonetaryAmount", "currency": "USD", "value": { "@type": "QuantitativeValue", "minValue": 216000, "maxValue": 297000, "unitText": "YEAR" } }, "directApply": false, "incentiveCompensation": "Equity (Options)", "experienceRequirements": { "@type": "OccupationalExperienceRequirements", "monthsOfExperience": 96 }, "educationRequirements": "no requirements", "url": "https://fewerjobs.com/jobs/faire/staff-machine-learning-platform-engineer-fce368a8" } }, { "@type": "ListItem", "position": 4, "url": "https://fewerjobs.com/jobs/faire/sales-development-representative-f0801ea6", "item": { "@context": "https://schema.org", "@type": "JobPosting", "title": "Sales Development Representative", "description": "

Sales Development Representative at Faire - San Francisco, CA - Sales Development Representative San Francisco, CA About Faire Faire is a technology wholesale platform built on the belief that the future is local. Independent retailers around the globe collectively represent a multi-hundred-billion-dollar wholesale market that has historically been fragmented and offline. At Faire, we're using the power of tech, data, and machine learning to connect this thriving community of entrepreneurs across the globe. Picture your favorite boutique in town - we help them discover the best products from around the world to sell in their stores. With the right tools and insights, we believe that we can level the playing field so businesses can grow and local communities can thrive. We're looking for smart, resourceful and passionate people to join us as we power the shop local movement. If you believe in community, come join ours. About this role Faire's quality, depth and breadth of supply is its strongest value proposition to retailers and our Brand Partnerships team is at the forefront of our success by ensuring that the best and most relevant brands are on our platform. You will be directly contributing to the company's success by scaling our current supply and ensuring that we meet the needs of our retailers. We need an agile self-starter who can ramp quickly and help us manage our prospective brands and partnership opportunities. Faire's goal is to be the default platform for brands to sell their products wholesale and for independent retailers to source products for their store. That means there will

", "datePosted": "2026-06-07T17:58:24.000Z", "employmentType": "OTHER", "identifier": { "@type": "PropertyValue", "name": "Faire", "value": "f0801ea6bf4e29167aa52c5a13695c72" }, "hiringOrganization": { "@type": "Organization", "name": "Faire" }, "jobLocation": { "@type": "Place", "address": { "@type": "PostalAddress", "addressCountry": "US", "addressLocality": "San Francisco" } }, "estimatedSalary": { "@type": "MonetaryAmount", "currency": "USD", "value": { "@type": "QuantitativeValue", "minValue": 70500, "maxValue": 97000, "unitText": "YEAR" }, "description": "On-target earnings" }, "directApply": false, "incentiveCompensation": "Equity (Options)", "experienceRequirements": { "@type": "OccupationalExperienceRequirements", "monthsOfExperience": 12 }, "educationRequirements": "Bachelors", "url": "https://fewerjobs.com/jobs/faire/sales-development-representative-f0801ea6" } }, { "@type": "ListItem", "position": 5, "url": "https://fewerjobs.com/jobs/faire/senior-applied-ai-ml-scientist-listing-quality-ef84ec4f", "item": { "@context": "https://schema.org", "@type": "JobPosting", "title": "Senior Applied AI/ML Scientist - Listing Quality", "description": "

Senior Applied AI/ML Scientist - Listing Quality at Faire - Toronto, ON - Senior Applied AI/ML Scientist - Listing Quality Toronto, ON About Faire Faire is a technology wholesale platform built on the belief that the future is local. Independent retailers around the globe collectively represent a multi-hundred-billion-dollar wholesale market that has historically been fragmented and offline. At Faire, we're using the power of tech, data, and machine learning to connect this thriving community of entrepreneurs across the globe. Picture your favorite boutique in town - we help them discover the best products from around the world to sell in their stores. With the right tools and insights, we believe that we can level the playing field so businesses can grow and local communities can thrive. We're looking for smart, resourceful and passionate people to join us as we power the shop local movement. If you believe in community, come join ours. About this role Faire leverages the power of machine learning and data insights to revolutionize the wholesale industry, enabling local retailers to compete against giants like Amazon and big box stores. At Faire, the Data Science team is responsible for creating and maintaining a diverse range of algorithms and models that power our marketplace. We are dedicated to building machine learning models that help our customers thrive. As a member of the Brand Data Science team working on Listing Quality, you will be responsible for improving the quality of product listings to help retailers find and evaluate products on Faire. You will use ML and AI to tackle critical challenges, such

", "datePosted": "2026-06-07T17:58:24.000Z", "employmentType": "OTHER", "identifier": { "@type": "PropertyValue", "name": "Faire", "value": "ef84ec4f3d30a732fa954504b8ae9ed6" }, "hiringOrganization": { "@type": "Organization", "name": "Faire" }, "jobLocation": { "@type": "Place", "address": { "@type": "PostalAddress", "addressCountry": "CA", "addressLocality": "Toronto" } }, "baseSalary": { "@type": "MonetaryAmount", "currency": "USD", "value": { "@type": "QuantitativeValue", "minValue": 180000, "maxValue": 247500, "unitText": "YEAR" } }, "directApply": false, "incentiveCompensation": "Equity (Options)", "experienceRequirements": { "@type": "OccupationalExperienceRequirements", "monthsOfExperience": 36 }, "educationRequirements": "Doctorate", "url": "https://fewerjobs.com/jobs/faire/senior-applied-ai-ml-scientist-listing-quality-ef84ec4f" } }, { "@type": "ListItem", "position": 6, "url": "https://fewerjobs.com/jobs/faire/strategic-finance-lead-fulfillment-ee0289c0", "item": { "@context": "https://schema.org", "@type": "JobPosting", "title": "Strategic Finance Lead, Fulfillment", "description": "

Strategic Finance Lead, Fulfillment at Faire - San Francisco, CA - Strategic Finance Lead, Fulfillment San Francisco, CA About Faire Faire is a technology wholesale platform built on the belief that the future is local. Independent retailers around the globe collectively represent a multi-hundred-billion-dollar wholesale market that has historically been fragmented and offline. At Faire, we're using the power of tech, data, and machine learning to connect this thriving community of entrepreneurs across the globe. Picture your favorite boutique in town - we help them discover the best products from around the world to sell in their stores. With the right tools and insights, we believe that we can level the playing field so businesses can grow and local communities can thrive. We're looking for smart, resourceful and passionate people to join us as we power the shop local movement. If you believe in community, come join ours. About this role We're looking for a high-agency Strategic Finance Lead to own financial and strategic analysis for Faire's emerging fulfillment and logistics investments. You'll drive mission-critical work end to end - from unit economics and scenario modeling to executive-ready narratives and partnership with Product, GTM, Business Development, and Operations. This role is central to how we scale fulfillment from zero to one: making disciplined tradeoffs on cost-to-serve, network economics, and partnerships so we improve service for brands and retailers while de-risking long-term financial outcomes. Job description Capital and operational efficiency both matter at Faire, but fulfillment is increasingly where scale, customer experience, and P&L intersect. The Finance & Strategy team helps ensure

", "datePosted": "2026-06-07T17:58:24.000Z", "employmentType": "CONTRACTOR", "identifier": { "@type": "PropertyValue", "name": "Faire", "value": "ee0289c07183efe8c03016e642856b4a" }, "hiringOrganization": { "@type": "Organization", "name": "Faire" }, "jobLocation": { "@type": "Place", "address": { "@type": "PostalAddress", "addressCountry": "US", "addressLocality": "San Francisco" } }, "baseSalary": { "@type": "MonetaryAmount", "currency": "USD", "value": { "@type": "QuantitativeValue", "minValue": 164000, "maxValue": 225500, "unitText": "YEAR" } }, "directApply": false, "incentiveCompensation": "Equity (Options)", "experienceRequirements": { "@type": "OccupationalExperienceRequirements", "monthsOfExperience": 60 }, "educationRequirements": "Bachelors", "url": "https://fewerjobs.com/jobs/faire/strategic-finance-lead-fulfillment-ee0289c0" } }, { "@type": "ListItem", "position": 7, "url": "https://fewerjobs.com/jobs/faire/senior-platform-analytics-engineer-eda471b6", "item": { "@context": "https://schema.org", "@type": "JobPosting", "title": "Senior Platform Analytics Engineer", "description": "

Senior Platform Analytics Engineer at Faire - Kitchener-Waterloo, ON; Toronto, ON - Senior Platform Analytics Engineer Kitchener-Waterloo, ON; Toronto, ON About Faire Faire is a technology wholesale platform built on the belief that the future is local. Independent retailers around the globe collectively represent a multi-hundred-billion-dollar wholesale market that has historically been fragmented and offline. At Faire, we're using the power of tech, data, and machine learning to connect this thriving community of entrepreneurs across the globe. Picture your favorite boutique in town - we help them discover the best products from around the world to sell in their stores. With the right tools and insights, we believe that we can level the playing field so businesses can grow and local communities can thrive. We're looking for smart, resourceful and passionate people to join us as we power the shop local movement. If you believe in community, come join ours. About this role: Our Engineering organization owns the software that makes our marketplace work. The Platform group empowers teams across Faire: Product Engineering, Data Science, Product Management, Strategy, Analytics, Finance, etc. Enabling these functions to do their best work without concern about underlying infrastructure. We enable product engineering teams to build and operate software with unmatched speed and quality. We care about good engineering practices, excellent developer experience, security, testability, ease of maintenance, and scaling to serve millions of users. We value best practices to achieve excellent availability and performance. The Analytics Platform team builds capabilities to accelerate data-driven analytics, improve productivity and accuracy at Faire. Its mandate is to reduce time

", "datePosted": "2026-06-07T17:58:24.000Z", "employmentType": "OTHER", "identifier": { "@type": "PropertyValue", "name": "Faire", "value": "eda471b628c36ce7e3d617c236b536a0" }, "hiringOrganization": { "@type": "Organization", "name": "Faire" }, "jobLocation": { "@type": "Place", "address": { "@type": "PostalAddress", "addressCountry": "CA", "addressLocality": "Kitchener-Waterloo" } }, "baseSalary": { "@type": "MonetaryAmount", "currency": "USD", "value": { "@type": "QuantitativeValue", "minValue": 160000, "maxValue": 220000, "unitText": "YEAR" } }, "directApply": false, "incentiveCompensation": "Equity (Options)", "experienceRequirements": { "@type": "OccupationalExperienceRequirements", "monthsOfExperience": 60 }, "educationRequirements": "Bachelors", "url": "https://fewerjobs.com/jobs/faire/senior-platform-analytics-engineer-eda471b6" } }, { "@type": "ListItem", "position": 8, "url": "https://fewerjobs.com/jobs/faire/staff-product-manager-inspire-and-app-ec06cf68", "item": { "@context": "https://schema.org", "@type": "JobPosting", "title": "Staff Product Manager, Inspire & App", "description": "

Staff Product Manager, Inspire & App at Faire - New York City, NY; San Francisco, CA - Staff Product Manager, Inspire & App New York City, NY; San Francisco, CA About Faire Faire is a technology wholesale platform built on the belief that the future is local. Independent retailers around the globe collectively represent a multi-hundred-billion-dollar wholesale market that has historically been fragmented and offline. At Faire, we're using the power of tech, data, and machine learning to connect this thriving community of entrepreneurs across the globe. Picture your favorite boutique in town - we help them discover the best products from around the world to sell in their stores. With the right tools and insights, we believe that we can level the playing field so businesses can grow and local communities can thrive. We're looking for smart, resourceful and passionate people to join us as we power the shop local movement. If you believe in community, come join ours. About this role Discovery is at the heart of Faire's value to retailers. Our pillar's mission is to help retailers discover products and brands their customers will love - whether they know exactly what they're looking for, or are just browsing for something new. This is one of the most consumer-facing PM roles at Faire. You will lead Inspire , the top-of-funnel discovery team responsible for Faire's most visited surfaces - the homepage, category pages, seasonal hubs, and global navigation - and you will own the vision and product strategy for the Faire mobile app . Inspire is the team building the next generation of wholesale discovery:

", "datePosted": "2026-06-07T17:58:24.000Z", "employmentType": "OTHER", "identifier": { "@type": "PropertyValue", "name": "Faire", "value": "ec06cf68fea6a22c3e68bc90370ac1ac" }, "hiringOrganization": { "@type": "Organization", "name": "Faire" }, "jobLocation": { "@type": "Place", "address": { "@type": "PostalAddress", "addressCountry": "US", "addressLocality": "New York City" } }, "baseSalary": { "@type": "MonetaryAmount", "currency": "USD", "value": { "@type": "QuantitativeValue", "minValue": 220000, "maxValue": 302500, "unitText": "YEAR" } }, "directApply": false, "incentiveCompensation": "Equity (Options)", "experienceRequirements": { "@type": "OccupationalExperienceRequirements", "monthsOfExperience": 96 }, "educationRequirements": "no requirements", "url": "https://fewerjobs.com/jobs/faire/staff-product-manager-inspire-and-app-ec06cf68" } }, { "@type": "ListItem", "position": 9, "url": "https://fewerjobs.com/jobs/faire/applied-ai-ml-scientist-ads-bidding-e6514e37", "item": { "@context": "https://schema.org", "@type": "JobPosting", "title": "Applied AI / ML Scientist - Ads Bidding", "description": "

Applied AI / ML Scientist - Ads Bidding at Faire - San Francisco, CA - Applied AI / ML Scientist - Ads Bidding San Francisco, CA About Faire Faire is a technology wholesale platform built on the belief that the future is local. Independent retailers around the globe collectively represent a multi-hundred-billion-dollar wholesale market that has historically been fragmented and offline. At Faire, we're using the power of tech, data, and machine learning to connect this thriving community of entrepreneurs across the globe. Picture your favorite boutique in town - we help them discover the best products from around the world to sell in their stores. With the right tools and insights, we believe that we can level the playing field so businesses can grow and local communities can thrive. We're looking for smart, resourceful and passionate people to join us as we power the shop local movement. If you believe in community, come join ours. About this Role The Ads Data team is building the next generation of advertising products for the wholesale industry. As a key member of this team, you'll shape the future of our ads marketplace and auction system at Faire-spanning auction design, bidding strategy, pacing, pricing, and budget optimization. Our in-house stack gives us unique end-to-end ownership, and our first-party conversion data allows us to train highly effective models and optimize for real, business-critical outcomes on behalf of our brands. This is a rare opportunity to be an early contributor to a fast-growing team in an incredibly strategic area of the business. Ads is a major company priority and you'll

", "datePosted": "2026-06-07T17:58:24.000Z", "employmentType": "OTHER", "identifier": { "@type": "PropertyValue", "name": "Faire", "value": "e6514e376c53ac65ee3c4765adb2f120" }, "hiringOrganization": { "@type": "Organization", "name": "Faire" }, "jobLocation": { "@type": "Place", "address": { "@type": "PostalAddress", "addressCountry": "US", "addressLocality": "San Francisco" } }, "baseSalary": { "@type": "MonetaryAmount", "currency": "USD", "value": { "@type": "QuantitativeValue", "minValue": 165500, "maxValue": 227500, "unitText": "YEAR" } }, "directApply": false, "incentiveCompensation": "Equity (Options)", "experienceRequirements": { "@type": "OccupationalExperienceRequirements", "monthsOfExperience": 24 }, "educationRequirements": "Doctorate", "url": "https://fewerjobs.com/jobs/faire/applied-ai-ml-scientist-ads-bidding-e6514e37" } }, { "@type": "ListItem", "position": 10, "url": "https://fewerjobs.com/jobs/faire/senior-applied-ai-ml-scientist-ads-bidding-e5a035eb", "item": { "@context": "https://schema.org", "@type": "JobPosting", "title": "Senior Applied AI/ML Scientist - Ads Bidding", "description": "

Senior Applied AI/ML Scientist - Ads Bidding at Faire - San Francisco, CA - Senior Applied AI/ML Scientist - Ads Bidding San Francisco, CA About Faire Faire is a technology wholesale platform built on the belief that the future is local. Independent retailers around the globe collectively represent a multi-hundred-billion-dollar wholesale market that has historically been fragmented and offline. At Faire, we're using the power of tech, data, and machine learning to connect this thriving community of entrepreneurs across the globe. Picture your favorite boutique in town - we help them discover the best products from around the world to sell in their stores. With the right tools and insights, we believe that we can level the playing field so businesses can grow and local communities can thrive. We're looking for smart, resourceful and passionate people to join us as we power the shop local movement. If you believe in community, come join ours. About this Role The Ads Data team is building the next generation of advertising products for the wholesale industry. As a key member of this team, you'll shape the future of our ads marketplace and auction system at Faire-spanning auction design, bidding strategy, pacing, pricing, and budget optimization. Our in-house stack gives us unique end-to-end ownership, and our first-party conversion data allows us to train highly effective models and optimize for real, business-critical outcomes on behalf of our brands. This is a rare opportunity to be an early contributor to a fast-growing team in an incredibly strategic area of the business. Ads is a major company priority and you'll have

", "datePosted": "2026-06-07T17:58:24.000Z", "employmentType": "OTHER", "identifier": { "@type": "PropertyValue", "name": "Faire", "value": "e5a035ebd05aaf2f22b948e28d5f057e" }, "hiringOrganization": { "@type": "Organization", "name": "Faire" }, "jobLocation": { "@type": "Place", "address": { "@type": "PostalAddress", "addressCountry": "US", "addressLocality": "San Francisco" } }, "baseSalary": { "@type": "MonetaryAmount", "currency": "USD", "value": { "@type": "QuantitativeValue", "minValue": 196000, "maxValue": 269500, "unitText": "YEAR" } }, "directApply": false, "incentiveCompensation": "Equity (Options)", "experienceRequirements": { "@type": "OccupationalExperienceRequirements", "monthsOfExperience": 48 }, "educationRequirements": "Doctorate", "url": "https://fewerjobs.com/jobs/faire/senior-applied-ai-ml-scientist-ads-bidding-e5a035eb" } }, { "@type": "ListItem", "position": 11, "url": "https://fewerjobs.com/jobs/faire/senior-lifecycle-marketing-manager-e2fd31bd", "item": { "@context": "https://schema.org", "@type": "JobPosting", "title": "Senior Lifecycle Marketing Manager", "description": "

Senior Lifecycle Marketing Manager at Faire - New York City, NY; San Francisco, CA - Senior Lifecycle Marketing Manager New York City, NY; San Francisco, CA About Faire Faire is a technology wholesale platform built on the belief that the future is local. Independent retailers around the globe collectively represent a multi-hundred-billion-dollar wholesale market that has historically been fragmented and offline. At Faire, we're using the power of tech, data, and machine learning to connect this thriving community of entrepreneurs across the globe. Picture your favorite boutique in town - we help them discover the best products from around the world to sell in their stores. With the right tools and insights, we believe that we can level the playing field so businesses can grow and local communities can thrive. We're looking for smart, resourceful and passionate people to join us as we power the shop local movement. If you believe in community, come join ours. About this role We are looking for a data-driven email expert to join Faire's Growth Marketing team. As a Senior Lifecycle Marketing Manager, you'll be responsible for ideating, executing, and optimizing scaled lifecycle journeys to drive engagement and conversion. You'll collaborate closely with cross-functional partners across Design, Analytics, and Product to turn customer data into effective and dynamic email campaigns at scale. The ideal candidate has worked in an experimentation-driven environment, has a track record of using AI tools to automate team workflows, accelerate creative testing, and launch new channel experiments with minimal engineering or analytics support, and stays ahead of the curve with the latest digital marketing trends.

", "datePosted": "2026-06-07T17:58:24.000Z", "employmentType": "OTHER", "identifier": { "@type": "PropertyValue", "name": "Faire", "value": "e2fd31bdb50d42726147887b8c7a831d" }, "hiringOrganization": { "@type": "Organization", "name": "Faire" }, "jobLocation": { "@type": "Place", "address": { "@type": "PostalAddress", "addressCountry": "US", "addressLocality": "New York City" } }, "baseSalary": { "@type": "MonetaryAmount", "currency": "USD", "value": { "@type": "QuantitativeValue", "minValue": 148000, "maxValue": 203500, "unitText": "YEAR" } }, "directApply": false, "incentiveCompensation": "Equity (Options)", "experienceRequirements": { "@type": "OccupationalExperienceRequirements", "monthsOfExperience": 48 }, "educationRequirements": "no requirements", "url": "https://fewerjobs.com/jobs/faire/senior-lifecycle-marketing-manager-e2fd31bd" } }, { "@type": "ListItem", "position": 12, "url": "https://fewerjobs.com/jobs/faire/staff-accountant-gl-de2bf6e7", "item": { "@context": "https://schema.org", "@type": "JobPosting", "title": "Staff Accountant, GL", "description": "

Staff Accountant, GL at Faire - San Francisco, CA - Staff Accountant, GL San Francisco, CA About Faire Faire is a technology wholesale platform built on the belief that the future is local. Independent retailers around the globe collectively represent a multi-hundred-billion-dollar wholesale market that has historically been fragmented and offline. At Faire, we're using the power of tech, data, and machine learning to connect this thriving community of entrepreneurs across the globe. Picture your favorite boutique in town - we help them discover the best products from around the world to sell in their stores. With the right tools and insights, we believe that we can level the playing field so businesses can grow and local communities can thrive. We're looking for smart, resourceful and passionate people to join us as we power the shop local movement. If you believe in community, come join ours. About this role We are seeking a highly motivated and detail-oriented General Ledger Staff Accountant to join our team. The ideal candidate will have experience with general ledger accounting and month-end close. In this role, you'll support core accounting operations, ensure accurate financial reporting, and help scale processes. You'll work cross-functionally and play a key role in maintaining the integrity of our financial data. This role will report directly to the Senior Accounting Manager. What you'll do Prepare and post journal entries and maintain the general ledger Perform monthly, quarterly, and year-end close activities Reconcile balance sheet accounts (cash, accruals, prepaid expenses, fixed assets, etc.) Support financial reporting and variance analysis Assist with audit

", "datePosted": "2026-06-07T17:58:24.000Z", "employmentType": "OTHER", "identifier": { "@type": "PropertyValue", "name": "Faire", "value": "de2bf6e78e6c4545e79bbbd7a87a2d3d" }, "hiringOrganization": { "@type": "Organization", "name": "Faire" }, "jobLocation": { "@type": "Place", "address": { "@type": "PostalAddress", "addressCountry": "US", "addressLocality": "San Francisco" } }, "baseSalary": { "@type": "MonetaryAmount", "currency": "USD", "value": { "@type": "QuantitativeValue", "minValue": 88000, "maxValue": 121000, "unitText": "YEAR" } }, "directApply": false, "incentiveCompensation": "Equity (Options)", "experienceRequirements": { "@type": "OccupationalExperienceRequirements", "monthsOfExperience": 24 }, "educationRequirements": "Bachelors", "url": "https://fewerjobs.com/jobs/faire/staff-accountant-gl-de2bf6e7" } }, { "@type": "ListItem", "position": 13, "url": "https://fewerjobs.com/jobs/faire/product-leadership-value-pillar-d7138bb6", "item": { "@context": "https://schema.org", "@type": "JobPosting", "title": "Product Leadership, Value Pillar", "description": "

Product Leadership, Value Pillar at Faire - San Francisco, CA - Product Leadership, Value Pillar San Francisco, CA About Faire Faire is a technology wholesale platform built on the belief that the future is local. Independent retailers around the globe collectively represent a multi-hundred-billion-dollar wholesale market that has historically been fragmented and offline. At Faire, we're using the power of tech, data, and machine learning to connect this thriving community of entrepreneurs across the globe. Picture your favorite boutique in town - we help them discover the best products from around the world to sell in their stores. With the right tools and insights, we believe that we can level the playing field so businesses can grow and local communities can thrive. We're looking for smart, resourceful and passionate people to join us as we power the shop local movement. If you believe in community, come join ours. About this role Lead and scale Faire's core value programs - including Faire Source (Fulfilled by Faire), Faire Pay, Insider, and the operational systems that power shipping, risk, and retailer enablement - into durable growth engines that make wholesale buying on Faire simpler, more economical, and more compelling than any alternative. As the Value Pillar Lead, you will own the product strategy and economic performance of this portfolio - operating with the judgment and discipline of a business line owner while remaining deeply grounded in product craft. You will balance customer experience, adoption, margin, capital efficiency, operational reliability, and risk, ensuring that each program scales with economic discipline and long-term durability. You'll build

", "datePosted": "2026-06-07T17:58:24.000Z", "employmentType": "OTHER", "identifier": { "@type": "PropertyValue", "name": "Faire", "value": "d7138bb6f5a85b3c2ea812f2d69efc14" }, "hiringOrganization": { "@type": "Organization", "name": "Faire" }, "jobLocation": { "@type": "Place", "address": { "@type": "PostalAddress", "addressCountry": "US", "addressLocality": "San Francisco" } }, "baseSalary": { "@type": "MonetaryAmount", "currency": "USD", "value": { "@type": "QuantitativeValue", "minValue": 304000, "maxValue": 418000, "unitText": "YEAR" } }, "directApply": false, "incentiveCompensation": "Equity (Options)", "experienceRequirements": { "@type": "OccupationalExperienceRequirements", "monthsOfExperience": 36 }, "educationRequirements": "no requirements", "url": "https://fewerjobs.com/jobs/faire/product-leadership-value-pillar-d7138bb6" } }, { "@type": "ListItem", "position": 14, "url": "https://fewerjobs.com/jobs/faire/senior-analytics-engineer-marketplace-d4fe7049", "item": { "@context": "https://schema.org", "@type": "JobPosting", "title": "Senior Analytics Engineer - Marketplace", "description": "

Senior Analytics Engineer - Marketplace at Faire - San Francisco, CA - Senior Analytics Engineer - Marketplace San Francisco, CA About Faire Faire is a technology wholesale platform built on the belief that the future is local. Independent retailers around the globe collectively represent a multi-hundred-billion-dollar wholesale market that has historically been fragmented and offline. At Faire, we're using the power of tech, data, and machine learning to connect this thriving community of entrepreneurs across the globe. Picture your favorite boutique in town - we help them discover the best products from around the world to sell in their stores. With the right tools and insights, we believe that we can level the playing field so businesses can grow and local communities can thrive. We're looking for smart, resourceful and passionate people to join us as we power the shop local movement. If you believe in community, come join ours. About the role Are you passionate about using data to shape the future of Faire's product features for small and medium businesses (SMBs)? If so, we want to talk to you! We're looking for a technical leader in our team to work closely with Data Scientists, Product Analysts and Software Engineers to support product launches and roadmaps by designing and building data capabilities that inform and drive insights. In this role, you'll see a direct link between your work, company growth, and user satisfaction. You'll work with A tier players, work with one of the richest data sets in the world, use cutting-edge technology, and see your efforts affect products and SMBs

", "datePosted": "2026-06-07T17:58:24.000Z", "employmentType": "OTHER", "identifier": { "@type": "PropertyValue", "name": "Faire", "value": "d4fe70490b3258222bf83ca94434f1bb" }, "hiringOrganization": { "@type": "Organization", "name": "Faire" }, "jobLocation": { "@type": "Place", "address": { "@type": "PostalAddress", "addressCountry": "US", "addressLocality": "San Francisco" } }, "baseSalary": { "@type": "MonetaryAmount", "currency": "USD", "value": { "@type": "QuantitativeValue", "minValue": 196000, "maxValue": 269500, "unitText": "YEAR" } }, "directApply": false, "incentiveCompensation": "Equity (Options)", "experienceRequirements": { "@type": "OccupationalExperienceRequirements", "monthsOfExperience": 48 }, "educationRequirements": "Bachelors", "url": "https://fewerjobs.com/jobs/faire/senior-analytics-engineer-marketplace-d4fe7049" } }, { "@type": "ListItem", "position": 15, "url": "https://fewerjobs.com/jobs/faire/staff-product-manager-search-algorithms-cc7e3fa4", "item": { "@context": "https://schema.org", "@type": "JobPosting", "title": "Staff Product Manager, Search Algorithms", "description": "

Staff Product Manager, Search Algorithms at Faire - New York City, NY; San Francisco, CA - Staff Product Manager, Search Algorithms New York City, NY; San Francisco, CA About Faire Faire is a technology wholesale platform built on the belief that the future is local. Independent retailers around the globe collectively represent a multi-hundred-billion-dollar wholesale market that has historically been fragmented and offline. At Faire, we're using the power of tech, data, and machine learning to connect this thriving community of entrepreneurs across the globe. Picture your favorite boutique in town - we help them discover the best products from around the world to sell in their stores. With the right tools and insights, we believe that we can level the playing field so businesses can grow and local communities can thrive. We're looking for smart, resourceful and passionate people to join us as we power the shop local movement. If you believe in community, come join ours. About this role The Discovery pillar's core mission is to make it easy and delightful for retailers to find brands and products their customers will love. This role will own product development of our algorithms powering search, the largest discovery surface by order volume. What you'll do Develop and execute on a strategy that takes our search algorithms to the next level Refine our breakdown of key search query segments, identify novel opportunities for improvements, and diagnose root causes for today's failure modes Refine our suite of offline and online metrics to help us better understand the retailer's search experience and the performance of each component of our

", "datePosted": "2026-06-07T17:58:24.000Z", "employmentType": "OTHER", "identifier": { "@type": "PropertyValue", "name": "Faire", "value": "cc7e3fa48d0d6165ae86f8aef6fa6e97" }, "hiringOrganization": { "@type": "Organization", "name": "Faire" }, "jobLocation": { "@type": "Place", "address": { "@type": "PostalAddress", "addressCountry": "US", "addressLocality": "New York City" } }, "baseSalary": { "@type": "MonetaryAmount", "currency": "USD", "value": { "@type": "QuantitativeValue", "minValue": 220000, "maxValue": 302500, "unitText": "YEAR" } }, "directApply": false, "incentiveCompensation": "Equity (Options)", "experienceRequirements": { "@type": "OccupationalExperienceRequirements", "monthsOfExperience": 84 }, "educationRequirements": "Bachelors", "url": "https://fewerjobs.com/jobs/faire/staff-product-manager-search-algorithms-cc7e3fa4" } }, { "@type": "ListItem", "position": 16, "url": "https://fewerjobs.com/jobs/faire/strategy-and-analytics-product-senior-lead-cc3e1e7f", "item": { "@context": "https://schema.org", "@type": "JobPosting", "title": "Strategy & Analytics, Product Senior Lead", "description": "

Strategy & Analytics, Product Senior Lead at Faire - New York City, NY; San Francisco, CA - Strategy & Analytics, Product Senior Lead New York City, NY; San Francisco, CA About Faire Faire is a technology wholesale platform built on the belief that the future is local. Independent retailers around the globe collectively represent a multi-hundred-billion-dollar wholesale market that has historically been fragmented and offline. At Faire, we're using the power of tech, data, and machine learning to connect this thriving community of entrepreneurs across the globe. Picture your favorite boutique in town - we help them discover the best products from around the world to sell in their stores. With the right tools and insights, we believe that we can level the playing field so businesses can grow and local communities can thrive. We're looking for smart, resourceful and passionate people to join us as we power the shop local movement. If you believe in community, come join ours. About this role We are looking for a Strategy & Analytics Senior Lead to drive better product decisions, faster. In this role, you'll leverage a unique combination of skills including analytical rigor, strategic intuition, and execution to drive growth for our business. At Faire, you'll have the chance to lead mission-critical projects end to end. You'll be partnering cross functionally with Product, Sales, Operations, Marketing, and Finance teams to inform the strategic roadmap by generating insights and helping translate them into action. This is an ideal role for someone who wants to work as a high-impact individual contributor in a fast-paced, highly collaborative, and data-driven environment and

", "datePosted": "2026-06-07T17:58:24.000Z", "employmentType": "OTHER", "identifier": { "@type": "PropertyValue", "name": "Faire", "value": "cc3e1e7f209b910355f8cb959e75a093" }, "hiringOrganization": { "@type": "Organization", "name": "Faire" }, "jobLocation": { "@type": "Place", "address": { "@type": "PostalAddress", "addressCountry": "US", "addressLocality": "New York City" } }, "baseSalary": { "@type": "MonetaryAmount", "currency": "USD", "value": { "@type": "QuantitativeValue", "minValue": 197500, "maxValue": 271500, "unitText": "YEAR" } }, "directApply": false, "incentiveCompensation": "Equity (Options)", "experienceRequirements": { "@type": "OccupationalExperienceRequirements", "monthsOfExperience": 96 }, "educationRequirements": "no requirements", "url": "https://fewerjobs.com/jobs/faire/strategy-and-analytics-product-senior-lead-cc3e1e7f" } }, { "@type": "ListItem", "position": 17, "url": "https://fewerjobs.com/jobs/faire/senior-legal-technology-and-operations-lead-c9ff31a2", "item": { "@context": "https://schema.org", "@type": "JobPosting", "title": "Senior Legal Technology & Operations Lead", "description": "

Senior Legal Technology & Operations Lead at Faire - San Francisco, CA - Senior Legal Technology & Operations Lead San Francisco, CA About Faire Faire is a technology wholesale platform built on the belief that the future is local. Independent retailers around the globe collectively represent a multi-hundred-billion-dollar wholesale market that has historically been fragmented and offline. At Faire, we're using the power of tech, data, and machine learning to connect this thriving community of entrepreneurs across the globe. Picture your favorite boutique in town - we help them discover the best products from around the world to sell in their stores. With the right tools and insights, we believe that we can level the playing field so businesses can grow and local communities can thrive. We're looking for smart, resourceful and passionate people to join us as we power the shop local movement. If you believe in community, come join ours. About this role Faire is hiring a Senior Legal Technology & Operations Lead to shape the future of how our Legal team works. You'll help define Legal's AI roadmap, uplevel the team's operating performance, and run the systems and programs that allow Legal to scale with the business. We're looking for someone with deep familiarity across the legal technology stack and a strong track record in cross-functional program management. Success in this role requires being both a builder and an architect, pairing the ability to develop a long-term vision for world class legal operations with an operator's willingness to drive execution and make it happen (fast). What you'll do Help define

", "datePosted": "2026-06-07T17:58:24.000Z", "employmentType": "CONTRACTOR", "identifier": { "@type": "PropertyValue", "name": "Faire", "value": "c9ff31a225a5329ebf5a34c272d42b23" }, "hiringOrganization": { "@type": "Organization", "name": "Faire" }, "jobLocation": { "@type": "Place", "address": { "@type": "PostalAddress", "addressCountry": "US", "addressLocality": "San Francisco" } }, "baseSalary": { "@type": "MonetaryAmount", "currency": "USD", "value": { "@type": "QuantitativeValue", "minValue": 136000, "maxValue": 187000, "unitText": "YEAR" } }, "directApply": false, "incentiveCompensation": "Equity (Options)", "experienceRequirements": { "@type": "OccupationalExperienceRequirements", "monthsOfExperience": 60 }, "educationRequirements": "no requirements", "url": "https://fewerjobs.com/jobs/faire/senior-legal-technology-and-operations-lead-c9ff31a2" } }, { "@type": "ListItem", "position": 18, "url": "https://fewerjobs.com/jobs/faire/lead-product-designer-c593f013", "item": { "@context": "https://schema.org", "@type": "JobPosting", "title": "Lead Product Designer", "description": "

Lead Product Designer at Faire - New York City, NY; San Francisco, CA - Lead Product Designer New York City, NY; San Francisco, CA About Faire Faire is a technology wholesale platform built on the belief that the future is local. Independent retailers around the globe collectively represent a multi-hundred-billion-dollar wholesale market that has historically been fragmented and offline. At Faire, we're using the power of tech, data, and machine learning to connect this thriving community of entrepreneurs across the globe. Picture your favorite boutique in town - we help them discover the best products from around the world to sell in their stores. With the right tools and insights, we believe that we can level the playing field so businesses can grow and local communities can thrive. We're looking for smart, resourceful and passionate people to join us as we power the shop local movement. If you believe in community, come join ours. About this role Faire is a company invested in good design-as a Lead Product Designer, you'll join a tight-knit, collaborative team of designers who care deeply about creating beautiful and intuitive experiences. Our team is at the center of product work at Faire, designing experiences for the thousands of small retailers and maker brands growing their businesses in our marketplace. In this role, you'll help shape Faire's product, working with team members across research, engineering, product, and customer service. You'll embed in a product team and focus on designing features and experiences for a strategic pillar of our product. As a design lead, you'll strive to understand our customers' challenges

", "datePosted": "2026-06-07T17:58:24.000Z", "employmentType": "OTHER", "identifier": { "@type": "PropertyValue", "name": "Faire", "value": "c593f01375e9402de948c8e374a85b1e" }, "hiringOrganization": { "@type": "Organization", "name": "Faire" }, "jobLocation": { "@type": "Place", "address": { "@type": "PostalAddress", "addressCountry": "US", "addressLocality": "New York City" } }, "baseSalary": { "@type": "MonetaryAmount", "currency": "USD", "value": { "@type": "QuantitativeValue", "minValue": 184000, "maxValue": 253000, "unitText": "YEAR" } }, "directApply": false, "incentiveCompensation": "Equity (Options)", "experienceRequirements": { "@type": "OccupationalExperienceRequirements", "monthsOfExperience": 72 }, "educationRequirements": "no requirements", "url": "https://fewerjobs.com/jobs/faire/lead-product-designer-c593f013" } }, { "@type": "ListItem", "position": 19, "url": "https://fewerjobs.com/jobs/faire/staff-product-manager-pricing-c3871773", "item": { "@context": "https://schema.org", "@type": "JobPosting", "title": "Staff Product Manager, Pricing", "description": "

Staff Product Manager, Pricing at Faire - New York City, NY; San Francisco, CA - Staff Product Manager, Pricing New York City, NY; San Francisco, CA About Faire Faire is a technology wholesale platform built on the belief that the future is local. Independent retailers around the globe collectively represent a multi-hundred-billion-dollar wholesale market that has historically been fragmented and offline. At Faire, we're using the power of tech, data, and machine learning to connect this thriving community of entrepreneurs across the globe. Picture your favorite boutique in town - we help them discover the best products from around the world to sell in their stores. With the right tools and insights, we believe that we can level the playing field so businesses can grow and local communities can thrive. We're looking for smart, resourceful and passionate people to join us as we power the shop local movement. If you believe in community, come join ours. About this role You will own one of the most impactful levers for brand success and growth: pricing. As the Staff PM for Brand Pricing, your mission is to help brands offer compelling, competitive prices that drive sales - building the tools, insights, and experiences that make it easy for brands to set the right prices, and for retailers to identify the smartest buying choices for their stores. Pricing is a complex problem that sits at the intersection of brand economics, retailer buying behavior, and marketplace dynamics. You'll design products that help brands understand how their pricing is performing, surface opportunities to grow their sales through smarter pricing decisions,

", "datePosted": "2026-06-07T17:58:24.000Z", "employmentType": "OTHER", "identifier": { "@type": "PropertyValue", "name": "Faire", "value": "c387177362d7f48c18923a75b14baa57" }, "hiringOrganization": { "@type": "Organization", "name": "Faire" }, "jobLocation": { "@type": "Place", "address": { "@type": "PostalAddress", "addressCountry": "US", "addressLocality": "New York City" } }, "baseSalary": { "@type": "MonetaryAmount", "currency": "USD", "value": { "@type": "QuantitativeValue", "minValue": 220000, "maxValue": 302500, "unitText": "YEAR" } }, "directApply": false, "incentiveCompensation": "Equity (Options)", "experienceRequirements": { "@type": "OccupationalExperienceRequirements", "monthsOfExperience": 96 }, "educationRequirements": "Bachelors", "url": "https://fewerjobs.com/jobs/faire/staff-product-manager-pricing-c3871773" } }, { "@type": "ListItem", "position": 20, "url": "https://fewerjobs.com/jobs/faire/senior-applied-ai-ml-scientist-fulfillment-c0cf77ed", "item": { "@context": "https://schema.org", "@type": "JobPosting", "title": "Senior Applied AI/ML Scientist - Fulfillment", "description": "

Senior Applied AI/ML Scientist - Fulfillment at Faire - San Francisco, CA - Senior Applied AI/ML Scientist - Fulfillment San Francisco, CA About Faire Faire is a technology wholesale platform built on the belief that the future is local. Independent retailers around the globe collectively represent a multi-hundred-billion-dollar wholesale market that has historically been fragmented and offline. At Faire, we're using the power of tech, data, and machine learning to connect this thriving community of entrepreneurs across the globe. Picture your favorite boutique in town - we help them discover the best products from around the world to sell in their stores. With the right tools and insights, we believe that we can level the playing field so businesses can grow and local communities can thrive. We're looking for smart, resourceful and passionate people to join us as we power the shop local movement. If you believe in community, come join ours. About this role Faire leverages the power of machine learning (ML) and data insights to revolutionize the wholesale industry, enabling local retailers to compete against giants like Amazon and big box stores. Our highly skilled team of Applied AI/ML Scientist and machine learning engineers specialize in developing algorithmic solutions for notification and recommender systems, advertising attribution, and Lifetime Value (LTV) predictions. Our ultimate goal is to empower local retail businesses with the tools they need to succeed. At Faire, the Data team is responsible for creating and maintaining a diverse range of algorithms and models that power our marketplace. We are dedicated to building machine learning models that help our customers

", "datePosted": "2026-06-07T17:58:24.000Z", "employmentType": "OTHER", "identifier": { "@type": "PropertyValue", "name": "Faire", "value": "c0cf77ed8b1a41222d4449ae22d98ce6" }, "hiringOrganization": { "@type": "Organization", "name": "Faire" }, "jobLocation": { "@type": "Place", "address": { "@type": "PostalAddress", "addressCountry": "US", "addressLocality": "San Francisco" } }, "baseSalary": { "@type": "MonetaryAmount", "currency": "USD", "value": { "@type": "QuantitativeValue", "minValue": 196000, "maxValue": 269500, "unitText": "YEAR" } }, "directApply": false, "incentiveCompensation": "Equity (Options)", "experienceRequirements": { "@type": "OccupationalExperienceRequirements", "monthsOfExperience": 36 }, "educationRequirements": "Doctorate", "url": "https://fewerjobs.com/jobs/faire/senior-applied-ai-ml-scientist-fulfillment-c0cf77ed" } }, { "@type": "ListItem", "position": 21, "url": "https://fewerjobs.com/jobs/faire/senior-staff-engineer-product-security-b51e6834", "item": { "@context": "https://schema.org", "@type": "JobPosting", "title": "Senior Staff Engineer - Product Security", "description": "

Senior Staff Engineer - Product Security at Faire - San Francisco, CA - Senior Staff Engineer - Product Security San Francisco, CA About Faire Faire is a technology wholesale platform built on the belief that the future is local. Independent retailers around the globe collectively represent a multi-hundred-billion-dollar wholesale market that has historically been fragmented and offline. At Faire, we're using the power of tech, data, and machine learning to connect this thriving community of entrepreneurs across the globe. Picture your favorite boutique in town - we help them discover the best products from around the world to sell in their stores. With the right tools and insights, we believe that we can level the playing field so businesses can grow and local communities can thrive. We're looking for smart, resourceful and passionate people to join us as we power the shop local movement. If you believe in community, come join ours. About this role: Faire operates at serious scale - a global marketplace handling real money movement, sensitive business data, and the financial futures of hundreds of thousands of independent retailers and brands. Security here isn't a compliance checkbox. It's a core part of how we build, and how we grow. We've built solid security foundations. Now we're looking for someone to take them to the next level - designing the architecture and automation that lets product engineers build securely by default, without friction. If you're energized by the challenge of making security invisible to developers while making it impossible to skip, this role was written for you. Our Engineering organization owns

", "datePosted": "2026-06-07T17:58:24.000Z", "employmentType": "OTHER", "identifier": { "@type": "PropertyValue", "name": "Faire", "value": "b51e68345c8dff325d2c1fded011354b" }, "hiringOrganization": { "@type": "Organization", "name": "Faire" }, "jobLocation": { "@type": "Place", "address": { "@type": "PostalAddress", "addressCountry": "US", "addressLocality": "San Francisco" } }, "baseSalary": { "@type": "MonetaryAmount", "currency": "USD", "value": { "@type": "QuantitativeValue", "minValue": 268000, "maxValue": 368500, "unitText": "YEAR" } }, "directApply": false, "incentiveCompensation": "Equity (Options)", "experienceRequirements": { "@type": "OccupationalExperienceRequirements", "monthsOfExperience": 60 }, "educationRequirements": "no requirements", "url": "https://fewerjobs.com/jobs/faire/senior-staff-engineer-product-security-b51e6834" } }, { "@type": "ListItem", "position": 22, "url": "https://fewerjobs.com/jobs/faire/senior-product-marketing-manager-b4fe734a", "item": { "@context": "https://schema.org", "@type": "JobPosting", "title": "Senior Product Marketing Manager", "description": "

Senior Product Marketing Manager at Faire - San Francisco, CA - Senior Product Marketing Manager San Francisco, CA About Faire Faire is a technology wholesale platform built on the belief that the future is local. Independent retailers around the globe collectively represent a multi-hundred-billion-dollar wholesale market that has historically been fragmented and offline. At Faire, we're using the power of tech, data, and machine learning to connect this thriving community of entrepreneurs across the globe. Picture your favorite boutique in town - we help them discover the best products from around the world to sell in their stores. With the right tools and insights, we believe that we can level the playing field so businesses can grow and local communities can thrive. We're looking for smart, resourceful and passionate people to join us as we power the shop local movement. If you believe in community, come join ours. About this role Product Marketing at Faire is a strategic function embedded across the product lifecycle. PMMs partner closely with Product, Design, Marketing, and Revenue to shape programs from the ground up, develop positioning and messaging, lead GTM strategy, and drive awareness and adoption. We have PMMs focused on each side of the marketplace: the brands who sell on Faire, and the retailers who buy from them. We're looking for a senior product marketer who can own a meaningful product area, build GTM strategy from scratch, and grow their remit over time as business needs shift. This is a role for someone who makes complex products feel simple to customers, moves comfortably between

", "datePosted": "2026-06-07T17:58:24.000Z", "employmentType": "OTHER", "identifier": { "@type": "PropertyValue", "name": "Faire", "value": "b4fe734aacf1fbc53b5773bd3a1c200f" }, "hiringOrganization": { "@type": "Organization", "name": "Faire" }, "jobLocation": { "@type": "Place", "address": { "@type": "PostalAddress", "addressCountry": "US", "addressLocality": "San Francisco" } }, "baseSalary": { "@type": "MonetaryAmount", "currency": "USD", "value": { "@type": "QuantitativeValue", "minValue": 148000, "maxValue": 203500, "unitText": "YEAR" } }, "directApply": false, "incentiveCompensation": "Equity (Options)", "experienceRequirements": { "@type": "OccupationalExperienceRequirements", "monthsOfExperience": 72 }, "educationRequirements": "no requirements", "url": "https://fewerjobs.com/jobs/faire/senior-product-marketing-manager-b4fe734a" } }, { "@type": "ListItem", "position": 23, "url": "https://fewerjobs.com/jobs/faire/growth-marketing-manager-paid-social-ae19abe8", "item": { "@context": "https://schema.org", "@type": "JobPosting", "title": "Growth Marketing Manager, Paid Social", "description": "

Growth Marketing Manager, Paid Social at Faire - New York City, NY; San Francisco, CA - Growth Marketing Manager, Paid Social New York City, NY; San Francisco, CA About Faire Faire is a technology wholesale platform built on the belief that the future is local. Independent retailers around the globe collectively represent a multi-hundred-billion-dollar wholesale market that has historically been fragmented and offline. At Faire, we're using the power of tech, data, and machine learning to connect this thriving community of entrepreneurs across the globe. Picture your favorite boutique in town - we help them discover the best products from around the world to sell in their stores. With the right tools and insights, we believe that we can level the playing field so businesses can grow and local communities can thrive. We're looking for smart, resourceful and passionate people to join us as we power the shop local movement. If you believe in community, come join ours. About this role We are looking for a highly analytical and resourceful Growth Marketing Manager to drive the execution of our paid social and retargeting programs. This is an experimentation-heavy role focused on advancing a broad range of growth initiatives, from scaling Faire's paid retargeting program to launching brand acquisition tests. Additionally, the role will support day-to-day paid social campaign management to ensure we hit KPI goals through the optimization of key performance levers. The ideal candidate is a scrappy, metrics-driven self-starter who is well-versed in the Meta platform and other paid social platforms, is comfortable managing campaigns with some guidance, and is eager to continuously explore new

", "datePosted": "2026-06-07T17:58:24.000Z", "employmentType": "OTHER", "identifier": { "@type": "PropertyValue", "name": "Faire", "value": "ae19abe8e31bc6f937673ebf7c888f1a" }, "hiringOrganization": { "@type": "Organization", "name": "Faire" }, "jobLocation": { "@type": "Place", "address": { "@type": "PostalAddress", "addressCountry": "US", "addressLocality": "New York City" } }, "baseSalary": { "@type": "MonetaryAmount", "currency": "USD", "value": { "@type": "QuantitativeValue", "minValue": 118500, "maxValue": 163000, "unitText": "YEAR" } }, "directApply": false, "incentiveCompensation": "Equity (Options)", "experienceRequirements": { "@type": "OccupationalExperienceRequirements", "monthsOfExperience": 36 }, "educationRequirements": "no requirements", "url": "https://fewerjobs.com/jobs/faire/growth-marketing-manager-paid-social-ae19abe8" } }, { "@type": "ListItem", "position": 24, "url": "https://fewerjobs.com/jobs/faire/fraud-strategy-lead-a84d6332", "item": { "@context": "https://schema.org", "@type": "JobPosting", "title": "Fraud Strategy Lead", "description": "

Fraud Strategy Lead at Faire - San Francisco, CA - Fraud Strategy Lead San Francisco, CA About Faire Faire is a technology wholesale platform built on the belief that the future is local. Independent retailers around the globe collectively represent a multi-hundred-billion-dollar wholesale market that has historically been fragmented and offline. At Faire, we're using the power of tech, data, and machine learning to connect this thriving community of entrepreneurs across the globe. Picture your favorite boutique in town - we help them discover the best products from around the world to sell in their stores. With the right tools and insights, we believe that we can level the playing field so businesses can grow and local communities can thrive. We're looking for smart, resourceful and passionate people to join us as we power the shop local movement. If you believe in community, come join ours. About this role We're looking for an experienced Fraud Strategy Lead to help shape the strategies that protect the integrity of our community of brands and retailers. In this role, you'll own end-to-end management of strategic fraud initiatives, translate company goals into team priorities, and act as a domain expert across the organization. As a senior member of the Risk org's Fraud & Abuse team, you'll partner closely with leaders across Data Science, Engineering, Product, Legal and CX to advance fraud capabilities and deliver data-backed strategies that enable Faire to innovate while keeping our customers safe. You'll spend most of your time on strategic work while mentoring others and elevating team performance. This is

", "datePosted": "2026-06-07T17:58:24.000Z", "employmentType": "OTHER", "identifier": { "@type": "PropertyValue", "name": "Faire", "value": "a84d6332fa9a475e2e3a2c0afb3b371d" }, "hiringOrganization": { "@type": "Organization", "name": "Faire" }, "jobLocation": { "@type": "Place", "address": { "@type": "PostalAddress", "addressCountry": "US", "addressLocality": "San Francisco" } }, "baseSalary": { "@type": "MonetaryAmount", "currency": "USD", "value": { "@type": "QuantitativeValue", "minValue": 144000, "maxValue": 198000, "unitText": "YEAR" } }, "directApply": false, "incentiveCompensation": "Equity (Options)", "experienceRequirements": { "@type": "OccupationalExperienceRequirements", "monthsOfExperience": 60 }, "educationRequirements": "Bachelors", "url": "https://fewerjobs.com/jobs/faire/fraud-strategy-lead-a84d6332" } } ] } ] }