Product Manager, Trust & Safety

Scale AI

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profile Job Location:

San Francisco, CA - USA

profile Monthly Salary: $ 240000 - 300000
Posted on: 13 hours ago
Vacancies: 1 Vacancy

Job Summary

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 500000 contributors across 100 countries perform the annotation evaluation and data-generation work that makes frontier AI possible. For example our contributor network includes Math PHDs from Vietnam law professors at top colleges and investment bankers modeling efficient capital structures - all in service of training next-gen AIs. Keeping this marketplace trustworthy and free from fraud is foundational to contributor experience to customer data quality and to 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. T&S at Scale intersects every part of the contributor lifecycle: onboarding task assignment quality assessment and payments. The scope is global the adversaries are sophisticated and the stakes are real.

This role requires deep domain expertise in fraud and trust & safety. You should bring a strong point of view on how to build world-class T&S systems because you will be the resident expert. You will set the vision for moving T&S from a reactive fire-fighting posture to a proactive intelligence-driven function with scalable detection and prevention infrastructure.

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. You will inherit a patchwork of existing tools signals and products and shape them into a coherent defensible platform with mature processes.
  • 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 dont 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 HM 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 youd have:

  • 812 years of experience in Product Management in the tech industry with at least 34 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 youve made hard tradeoff decisions between blocking bad actors and preserving good UX
  • Exceptional stakeholder management skills youve 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 youve moved a function from reactive to proactive
  • Bachelors 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 packages at Scale for eligible roles include base salary equity and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position determined by work location and additional factors including job-related skills experience interview performance and relevant education or training. Scale employees in eligible roles are also granted equity based compensation subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process and confirm whether the hired role will be eligible for equity grant. Youll also receive benefits including but not limited to: Comprehensive health dental and vision coverage retirement benefits a learning and development stipend and generous PTO. Additionally this role may be eligible for additional benefits such as a commuter stipend.

Please reference the job postings subtitle for where this position will be located. For pay transparency purposes the base salary range for this full-time position in the locations of San Francisco New York Seattle is:

$240000 - $300000 USD

PLEASE NOTE:Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants.

About Us:

At Scale our mission is to develop reliable AI systems for the worlds most important decisions. Our products provide the high-quality data and full-stack technologies that power the worlds leading models and help enterprises and governments build deploy and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta Cisco DLA Piper Mayo Clinic Time Inc. the Government of Qatar and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications.

We believe that everyone should be able to bring their whole selves to work which is why we are proud to be an inclusive and equal opportunity workplace. 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 working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability please contact us at Please see the United States Department of Labors Know Your Rights poster for additional information.

We comply with the United States Department of Labors Pay Transparency provision.

PLEASE NOTE: We collect retain and use personal data for our professional business purposes including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants needs provide our services and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our for additional information.


Required Experience:

IC

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 500000 contributors across 100 countries perform the annotation evaluation and data-generation work that makes frontier AI possible. For example our contri...
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Trusted by world class companies, Scale delivers high quality training data for AI applications such as self-driving cars, mapping, AR/VR, robotics, and more.

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