{"id":116495,"url":"https://alion.io/job/sieve-product-operations-lead","title":"Product Operations Lead","company":{"id":720258,"name":"Sieve","domain":"sieve.ai","url":"https://alion.io/company/sieve-2","size_band":"11-50","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":{"grade":"A","score":88,"open_postings":10,"ghost_share":0,"stale_share":0.5,"repost_share":0,"time_to_fill_p50_days":42,"computed_at":"2026-10-29T05:49:05Z"}},"role":"Product","role_family":"Product","seniority":"lead","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["San Francisco, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":172000,"max_usd":333000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":1090},"experience_years_min":1,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Human-in-the-Loop","optional":true},{"name":"Multimodal AI","optional":true}],"status":"live","first_seen_at":"2026-03-11T05:22:44Z","employer_posted_date":"2026-03-11","last_verified_at":"2026-10-29T18:53:09Z","board_verified":true,"closed_at":null,"days_open":232,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":231},"description":"About Us\nSieve is a multi-modal lab curating the world's highest-quality training datasets - spanning video, audio, images, text, and 3D. We combine exabyte-scale data infrastructure and novel multimodal understanding techniques that push the frontier of foundation models. Video alone makes up 80% of internet traffic, and across modalities, data has become the enabling medium powering creativity, communication, gaming, AR/VR, and robotics. Sieve exists to solve the biggest bottleneck in the growth of these applications: high-quality training data.\nWe partner with top AI labs and did $XXM last quarter alone, as a team of ~30 people. We also raised our Series A from Tier 1 firms such as Matrix Partners, Swift Ventures, Y Combinator, and AI Grant.\nWhy Now\nSieve is one of the most capital-efficient teams in AI - roughly 30 people serving the world's leading AI labs across every major data modality. You'll join early, own problems end-to-end, and watch your work ship directly into the models defining the frontier.\nAbout the Role\nAs Product Operations Lead, you'll own the day-to-day execution and scaling of Sieve's data operations platform alongside vendor partnerships. This is a deeply operational and semi-technical role. You'll manage our human workforce, build and improve QA processes, handle people sourcing and onboarding, and drive product ops initiatives that make our platform more efficient. A major part of this role is growth: you'll run campaigns and experiments to expand the platform's user base, find new channels for sourcing, and drive adoption. This role is ideal for someone who is both a builder and an optimizer, someone who can get their hands dirty with tooling while also thinking strategically about how to scale a complex operational machine.\nWhat You'll Do\nOperate and scale Sieve's internal data ops platform, including workforce management, task assignment, and QA workflows\n\nDrive platform and partnerships growth: run acquisition campaigns, test new sourcing channels, and grow the user base through creative and scalable strategies\n\nSource, onboard, and manage a distributed human workforce for data annotation, curation, and quality review\n\nBuild and improve QA processes to ensure data output meets the standards required by frontier AI labs\n\nOwn product ops for the data platform. Work with engineering to ship tooling improvements, track operational metrics, and identify gaps\n\nCreate documentation, SOPs, and training materials for operational workflows\n\nRequirements\nMixed technical and non-technical skillset, comfortable with data tooling, light scripting, and spreadsheet-level analysis\n\nStrong organizational skills and attention to detail; able to manage multiple concurrent work streams\n\nGrowth mindset: experience running or contributing to user acquisition, sourcing campaigns, or platform growth efforts\n\nBachelor's degree in CS, STEM, or equivalent practical experience\n\nIn-person at our SF HQ\n\nNice to Have\nExperience managing human-in-the-loop data operations or annotation pipelines\n\nAt least 1 year of engineering experience or strong technical fluency\n\nExperience as an early hire at a startup or spearheading ops at an AI lab\n\nFamiliarity with data quality frameworks or ML data pipelines\n\nBenefits\n401k + Full Health 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