{"id":43735,"url":"https://alion.io/job/datologyai-product-manager","title":"Product Manager","company":{"id":9100,"name":"DatologyAI","domain":"datologyai.com","url":"https://alion.io/company/datologyai","size_band":"11-50","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":{"grade":"C","score":60,"open_postings":12,"ghost_share":0.667,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":48,"computed_at":"2026-10-17T05:46:00Z"}},"role":"Product","role_family":"Product","seniority":"senior","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["San Mateo, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":215000,"max":300000,"currency":"USD","period":"year","gross":null,"usd_annual":300000},"salary_estimate":null,"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Multimodal AI","optional":false},{"name":"Synthetic Data","optional":false}],"status":"live","first_seen_at":"2026-04-13T19:28:03Z","employer_posted_date":"2026-04-13","last_verified_at":"2026-10-18T03:36:26Z","board_verified":true,"closed_at":null,"days_open":187,"trust":{"level":"ghost","repost_count":0,"flags":["stale","company_stale"],"days_open":186},"description":"About the Company\nModels are what they eat. But a large portion of training compute is wasted training on data that are already learned, irrelevant, or even harmful, leading to worse models that cost more to train and deploy.\nAt DatologyAI, we’ve built a state of the art data curation suite to automatically curate and optimize petabytes of data to create the best possible training data for your models. Training on curated data can dramatically reduce training time and cost (7-40x faster training depending on the use case), dramatically increase model performance as if you had trained on >10x more raw data without increasing the cost of training, and allow smaller models with fewer than half the parameters to outperform larger models despite using far less compute at inference time, substantially reducing the cost of deployment. For more details, check out our recent research on synthetic data scaling (BeyondWeb) and pretraining with domain-specific data (The Finetuner’s Fallacy).\nWe raised a total of $57.5M in two rounds, a Seed and Series A. Our investors include Felicis Ventures, Radical Ventures, Amplify Partners, Microsoft, Amazon, and AI visionaries like Geoff Hinton, Yann LeCun, Jeff Dean, and many others who deeply understand the importance and difficulty of identifying and optimizing the best possible training data for models. Our team has pioneered this frontier research area and has the deep expertise on both data research and data engineering necessary to solve this incredibly challenging problem and make data curation easy for anyone who wants to train their own model on their own data.\nThis role is based in San Mateo, CA. We are in office 4 days a week.\nAbout the Role\nAs our first Product Manager, you will own the product strategy and roadmap for our enterprise data curation platform. This is a high-leverage, high-ownership role where you’ll build the function from the ground up. You'll work at the intersection of cutting-edge ML research and enterprise software, translating deep technical capabilities like automated data selection, deduplication, batching, multimodal curation at petabyte scale into a product that enterprise AI teams love to use.\nYou'll partner closely with the founders, our research, engineering teams to define what we build and why. This role will shape how Datology evolves from a technically differentiated platform into a category-defining AI tooling company.\nWhat You'll Work On\nOwn the product roadmap end-to-end: from discovery and prioritization through launch and iteration, with a focus on enterprise-grade AI tooling\n\nPartner with research and engineering to turn ambiguous, early-stage outputs into concrete, shippable product decisions.\n\nDefine and drive the enterprise product experience -- including platform UX, API design, deployment flexibility (BYOC, on-prem), and integrations with existing ML workflows\n\nDevelop deep customer intuition by engaging directly with enterprise ML teams, data scientists, and infrastructure engineers -- turning their pain points into a clear product strategy\n\nBuild the foundational PM infrastructure: discovery frameworks, roadmap tooling, release processes, and cross-functional rituals that scale as the team grows\n\nWork with Sales and Customer Success to ensure the product enables a repeatable, defensible go-to-market motion\n\nTrack the competitive landscape across AI tooling, MLOps, and data infrastructure to inform positioning and prioritization\n\nServe as the connective tissue between research output and commercial product -- helping the team decide what to build, sequence how, and measure whether it's working\n\nAbout You\n5+ years of product management experience, with at least 3 years building enterprise software or AI/ML tooling at a senior or staff level\n\nA strong technical foundation. You can read a research paper, engage credibly with ML engineers about training pipelines and data infrastructure, and distinguish meaningful technical differentiation from noise\n\nYou've shipped products where the starting point was a paper or prototype and know how to impose structure without killing what makes the technology special\n\nExperience as a founding or early PM, with a track record of building product functions and processes\n\nDeep familiarity with the enterprise AI/ML buyer: you understand how ML teams evaluate tools, what makes them adopt and stick, and how infrastructure decisions get made\n\nA sharp product instinct for developer and technical user experiences. You know the difference between a product that's powerful and one that's actually used\n\nExcellent cross-functional communication: you can make a research result legible to a sales team and a customer complaint actionable for an engineer\n\nComfort operating in ambiguity and a bias toward decisive, data-informed action\n\nBonus points if you have:\nHands-on experience with model training, data pipelines, or MLOps workflows\n\nPrior experience at an AI infrastructure, developer tools, or data platform company\n\nExposure to enterprise procurement and compliance requirements (BYOC, on-prem, data sovereignty)\n\nDon’t meet every single requirement? We still encourage you to apply. If you’re excited about our mission and eager to learn, we want to hear from you!\nCompensation\nAt DatologyAI, we are dedicated to rewarding talent with competitive salary and meaningful equity. The salary for this position ranges from $215,000 to $300,000.\nStarting pay is based on job-related skills, experience, qualifications, and interview performance.\n\nBenefits:\n100% covered health benefits (medical, vision, and dental).\n\n401(k) plan with a generous 4% company match.\n\nUnlimited PTO policy\n\nPaid Parental Leave of 12 weeks, plus 6 months of WFH flexibility.\n\nAnnual $2,000 wellness stipend.\n\nAnnual $1,000 learning and development stipend.\n\nDaily lunches and snacks are provided in our office!\n\nRelocation assistance for employees moving to the Bay Area.","description_format":"text","description_chars":5943,"description_truncated":false,"requirements":{"experience_years_min":5,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":["Equity","Parental leave","Relocation assistance","Unlimited PTO"],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":true,"industries":["Machine Learning","AI Training Data & Annotation","AI Research Labs"],"lifecycle":[{"event":"open","at":"2026-04-13T19:28:03Z"}],"visa":[{"country":"US","licensed_sponsor":true,"evidence":"H-1B filings in 12 months: 5 · green card filings: 1","filings_12m":5,"filings_prev_12m":2,"green_card_filings_12m":1,"median_offered_wage_usd":229167,"route":null,"cap_exempt":false,"checked_at":"2026-10-15T11:24:14+00:00","sources":["US Department of Labor: LCA disclosure data (H-1B, H-1B1, E-3)","US Department of Labor: PERM disclosure data (green cards)"],"filings_for_role_12m":0}],"liveness":{"score":5,"band":"cold","label":"Long shot","p_open":1,"p_active":0.188,"p_room":0.28,"age_days":186,"expected_fill_days":48,"reasons":["conf:0","stale_co","ghost","win:tail","crowd:"],"computed_at":"2026-10-17T05:46:00Z"},"pay":{"stated_usd_annual":300000,"is_top_pay":true},"html_url":"https://alion.io/job/datologyai-product-manager","json_url":"https://alion.io/job/datologyai-product-manager.json","meta":{"generated_at":"2026-10-18T04:39:22Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":6938,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-19T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":9100},"rest":"https://alion.io/mcp/rest/get_company?id=9100"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fdatologyai-product-manager"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fdatologyai-product-manager"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fdatologyai-product-manager"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/datologyai-product-manager\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fdatologyai-product-manager"}]}