Product Manager, Trust & Safety

Scale AI operates a global two-sided marketplace. On the demand side, AI labs and enterprises need high-quality training data. On the supply side, 500,000+ contributors across 100+ countries perform the annotation, evaluation, and data-generation work that makes frontier AI possible. Keeping this marketplace trustworthy and free from fraud is foundational to contributor experience, customer data quality, and the health of the business. We are looking for a senior Product Manager to lead Trust & Safety at Scale. This is a high‑autonomy, high‑impact role. You will own the product strategy for fraud detection, prevention, and remediation across our contributor ecosystem—building the systems that protect our platform from abuse while preserving a fair, transparent experience for legitimate contributors. Trust & Safety at Scale intersects every part of the contributor lifecycle: onboarding, task assignment, quality assessment, and payments. The scope is global; the adversaries are sophisticated; the stakes are real. About the Role You will be the most senior T&S product leader at Scale, reporting directly to the Head of GenAI Product. You will have dedicated engineering, data science, and operations partners, and will work closely with EPD leadership and Delivery Ops. T&S at Scale is not a mature function—it has been built reactively over time in response to specific fraud incidents. The platform needs a cohesive strategy that balances fraud mitigation with contributor growth, reduces false positives, and replaces ad‑hoc solutions with scalable systems. The contributor marketplace creates unique fraud vectors: account farming, task manipulation, quality gaming, payment fraud, and collusion—all evolving as AI capabilities change. You need to stay at the leading edge of adversarial behavior in AI‑native marketplaces. This is a highly cross‑functional role. You will collaborate with stakeholders across Ops, EPD, Finance, and leadership. Fires happen weekly. You need to be the person who navigates complexity and drives resolution efficiently. You will Set the product vision and strategy for Trust & Safety at Scale, shifting the function from reactive incident response to proactive, intelligence‑driven fraud prevention. Own the product roadmap for fraud detection, prevention, and remediation systems—including the Risk Engine, data signals intelligence, anomaly detection, and contributor investigation tooling. Build a balanced approach to fraud mitigation and growth protection—ensuring T&S interventions don’t unnecessarily throttle the contributor funnel or create friction for legitimate users. Investigate and deeply understand contributor behavior patterns to identify emerging fraud vectors before they become material. Drive cross‑functional alignment across Ops, EPD, Finance, and executive leadership—independently handling escalations, stakeholder conflicts, and weekly fire drills without requiring constant manager involvement. Translate complex fraud patterns into clear product requirements for engineering, and partner with data science to build and improve detection models. Build long‑term instrumentation, monitoring, and evaluation capabilities to measure fraud rates, false positive rates, contributor impact, and financial exposure. Establish business cases quantifying fraud losses and ROI of prevention investments to secure resources and prioritize effectively. Partner with Finance and Delivery Ops leadership to manage the financial impact of fraud on business profitability. Ideally, you’d have 8–12 years of experience in Product Management in the tech industry, with at least 3–4 years leading Trust & Safety, Fraud, or Risk product teams. Deep domain expertise in fraud (not security) — specifically consumer product fraud, marketplace fraud, or contributor/gig‑economy fraud. FinTech/payments fraud alone is not sufficient; we need someone who understands platform‑level abuse and adversarial user behavior. Track record of building T&S systems at consumer‑facing marketplace companies (e.g., Uber, DoorDash, Airbnb, eBay, Instacart) or similar high‑growth platforms with global contributor/user bases. Proven ability to balance fraud mitigation with growth protection — you’ve made hard trade‑off decisions between blocking bad actors and preserving good UX. Exceptional stakeholder management skills — you’ve navigated complex orgs with Ops, Engineering, and leadership stakeholders who have competing priorities and strong opinions. You handle escalations, build trust, and drive alignment independently. Strong analytical capabilities — you can investigate contributor behavior data, define fraud metrics, and build detection logic. High proficiency in SQL. Experience setting ambitious product vision and executing against it — you’ve moved a function from reactive to proactive. Bachelor’s or advanced degree in a quantitative, engineering, or related discipline. Nice to Have Experience building T&S systems with global/international coverage across diverse contributor populations. Understanding of AI‑enabled fraud vectors and how adversarial behavior evolves as AI capabilities improve. Experience with contributor/gig‑economy platforms specifically (not just consumer marketplaces). Experience working at early‑to‑growth‑stage companies where T&S was being built or rebuilt from scratch. Compensation Eligible roles include base salary, equity, and benefits. The base salary range for this position in San Francisco, New York, and Seattle is $240,000 – $300,000 USD. Benefits include comprehensive health, dental, and vision coverage; retirement benefits; a learning and development stipend; generous PTO; and potential commuter stipend. Equal Employment Opportunity (EEO) Statement We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity, or Veteran status. We are committed to providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application process, please contact us at View email address on click.appcast.io. We comply with the United States Department of Labor’s Pay Transparency provision. #J-18808-Ljbffr Scale AI