{ "slug": "spur", "canonical_name": "Spur", "website": "https://spurtest.com", "ats": "ashby", "top_startup": true, "top_startup_sources": [ "yc" ], "total_active_jobs": 1, "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": 1, "tier_b_award_count": 0, "any_award": true, "awards": [ { "source": "gptw_certified", "year": 2026, "rank": null, "citation_url": "https://www.greatplacetowork.com/certified-company/1368719", "award_category": "Great Place To Work Certified" } ], "raw_ratings": [] }, "jobs": [ { "id": "a0fe7847151ea51217cf7983625f9368", "title": "Applied AI Product Engineer", "employer_name": "Spur", "employer_slug": "spur", "location_text": "New York City | OnSite", "country": "US", "employment_type": "unknown", "remote_status": "onsite", "remote_status_source": null, "remote_status_enriched_at": null, "days_in_office": 5, "timezone_overlap_hours": 6, "salary_min": null, "salary_max": null, "salary_min_source": null, "salary_max_source": null, "salary_currency": "UNSPECIFIED", "salary_type": "unknown", "salary_type_source": null, "salary_type_enriched_at": null, "salary_period": null, "base_salary_min": null, "base_salary_max": null, "salary_disclosed": false, "equity_included": false, "equity_included_source": null, "equity_type": [ "none" ], "k401_match": null, "match_401k_pct": null, "match_401k_pct_source": null, "k401_match_source_url": null, "k401_match_source_fields": [], "k401_contribution_source_url": null, "k401_contribution_source_fields": [], "profit_sharing": false, "bonus_offered": true, "mental_health_support": null, "childcare_subsidy": null, "fertility_family_building_benefits": null, "adoption_assistance_offered": null, "surrogacy_assistance_offered": null, "learning_budget_offered": null, "relocation_assistance": null, "top_startup_sources": [ "yc" ], "posted_at": "2026-06-10T03:52:15.000Z", "apply_url": "https://jobs.ashbyhq.com/spur/3e021029-67f0-4574-a1b2-8517fa531529", "apply_url_verified": false, "ats": "ashby", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Applied AI Product Engineer New York City | OnSite New York City Spur builds fundamental technology for the future of QA: autonomous browser agents that think, explore, validate, and self-heal like real users. We're not another test tool - we're reimagining how digital teams ship with confidence. The market has responded loudly. Top brands (Alo Yoga, Living Spaces, HelloFresh, Nextdoor, Abercrombie & Fitch, and more) are actively pulling us in. Inbound demand is exploding. Sales cycles are fast. And the product actually delivers - teams go live in days, not months. We're a small, elite team of builders from DeepMind, Figma, ex-founders and customers - shipping at a pace that big companies can't touch. Our Mission: We want to help our customers deliver the best digital experiences Read our Manifesto: https://www.spurtest.com/founders-letter What you'll do - Ship end-to-end features -- design, code, test, deploy, and own them in production. You'll own parts of the product end-to-end - Work directly with users to turn feedback into improvements within hours and help shape product direction - Build and operate both performance frontend and backend code - Launching new features, speaking directly with customers to gather feedback, iterating quickly. - Rapidly iterate with product, engineering, design, and founders Bonus Points - Prior experience as a founder or founding engineer - Have build LLM products in the past - Passionate about developer tools and sweat the small details that transform both developer and customer experiences You'll Thrive Here If You - Are relentlessly customer focused.", "parental_leave_weeks": null, "non_birth_parent_leave_weeks": null, "parental_leave_weeks_source": null, "non_birth_parent_leave_weeks_source": null, "parental_leave_source_url": null, "pto_days": null, "unlimited_pto": false, "sabbatical_eligible": false, "family_friendly_score": 43, "benefit_verified": false, "benefit_last_verified": null, "hire_states_allowed": [], "state_eligibility_source": null, "state_eligibility_enriched_at": null, "llm_quality_pass_at": null, "llm_signals_at": null, "llm_extraction_run_id": null, "llm_extraction_extracted_at": null, "llm_extraction_field_sources": {}, "seniority": "mid", "seniority_source": null, "years_experience_min": 3, "years_experience_max": 7, "role_function": "engineering", "role_function_source": null, "company_stage": null, "company_stage_source": null, "employer_industry": null, "employer_industry_source": null, "employer_size": "51-200", "quality_score": 45, "travel_pct": null, "requires_shift": null, "shift_type": "unknown", "shift_type_source": null, "weekend_work": "unknown", "weekend_work_source": null, "relocation_assistance_source": null, "contractor_w2": "unknown", "required_timezone": null, "fertility_family_building_benefits_source": null, "mental_health_support_source": null, "adoption_assistance_offered_source": null, "childcare_subsidy_source": null, "learning_budget_offered_source": null, "surrogacy_assistance_offered_source": null, "cover_letter_required": null, "cover_letter_required_source": null, "assessment_required": null, "assessment_required_source": null, "application_deadline": null, "application_deadline_source": null, "visa_sponsorship": false, "us_citizenship_required": false, "security_clearance": "none", "education_required": "none", "roll_up_count": null, "roll_up_total_locations": null, "explanations": [], "parental_leave_source_label": null, "k401_match_source_label": null, "k401_contribution_source_label": null, "apply_url_checked_at": null, "apply_url_verification_status": "not_reachable_or_not_checked", "apply_url_verification_label": "Not checked or not reachable at last crawl", "field_source_signals": { "remote_status": { "tier": "inferred", "verified": false, "label": "Inferred - source not recorded", "source_label": "source not recorded", "href": null, "source_values": [], "checked_at": null }, "equity_included": { "tier": "inferred", "verified": false, "label": "Inferred - source not recorded", "source_label": "source not recorded", "href": null, "source_values": [], "checked_at": null }, "seniority": { "tier": "inferred", "verified": false, "label": "Inferred - source not recorded", "source_label": "source not recorded", "href": null, "source_values": [], "checked_at": null }, "role_function": { "tier": "inferred", "verified": false, "label": "Inferred - source not recorded", "source_label": "source not recorded", "href": null, "source_values": [], "checked_at": null } } } ], "json_ld": [ { "@context": "https://schema.org", "@type": "Organization", "name": "Spur", "url": "https://spurtest.com", "sameAs": [] }, { "@context": "https://schema.org", "@type": "ItemList", "name": "Spur open jobs", "itemListElement": [ { "@type": "ListItem", "position": 1, "url": "https://fewerjobs.com/jobs/spur/applied-ai-product-engineer-a0fe7847", "item": { "@context": "https://schema.org", "@type": "JobPosting", "title": "Applied AI Product Engineer", "description": "

Applied AI Product Engineer at Spur - New York City | OnSite - Applied AI Product Engineer New York City | OnSite New York City Spur builds fundamental technology for the future of QA: autonomous browser agents that think, explore, validate, and self-heal like real users. We're not another test tool - we're reimagining how digital teams ship with confidence. The market has responded loudly. Top brands (Alo Yoga, Living Spaces, HelloFresh, Nextdoor, Abercrombie & Fitch, and more) are actively pulling us in. Inbound demand is exploding. Sales cycles are fast. And the product actually delivers - teams go live in days, not months. We're a small, elite team of builders from DeepMind, Figma, ex-founders and customers - shipping at a pace that big companies can't touch. Our Mission: We want to help our customers deliver the best digital experiences Read our Manifesto: https://www.spurtest.com/founders-letter What you'll do - Ship end-to-end features -- design, code, test, deploy, and own them in production. You'll own parts of the product end-to-end - Work directly with users to turn feedback into improvements within hours and help shape product direction - Build and operate both performance frontend and backend code - Launching new features, speaking directly with customers to gather feedback, iterating quickly. - Rapidly iterate with product, engineering, design, and founders Bonus Points - Prior experience as a founder or founding engineer - Have build LLM products in the past - Passionate about developer tools and sweat the small details that transform both developer and customer experiences You'll Thrive Here If You - Are relentlessly customer focused.

", "datePosted": "2026-06-10T03:52:15.000Z", "employmentType": "OTHER", "identifier": { "@type": "PropertyValue", "name": "Spur", "value": "a0fe7847151ea51217cf7983625f9368" }, "hiringOrganization": { "@type": "Organization", "name": "Spur" }, "jobLocation": { "@type": "Place", "address": { "@type": "PostalAddress", "addressCountry": "US" } }, "directApply": false, "incentiveCompensation": "Bonus", "experienceRequirements": { "@type": "OccupationalExperienceRequirements", "monthsOfExperience": 36 }, "educationRequirements": "no requirements", "url": "https://fewerjobs.com/jobs/spur/applied-ai-product-engineer-a0fe7847" } } ] } ] }