Trust and Safety Product Manager

Scale Ai
San Francisco, CA

We are seeking an experienced and mission-driven Trust & Safety Product Manager to lead the Product efforts to protect our Contributor ecosystem from fraud, abuse, and other integrity risks. In this role, you will be responsible for safeguarding our platform from a range of fraud vectors while ensuring an excellent, fair experience for our legitimate contributors, and healthy business growth.

You will build products and tooling to detect, prevent, and remediate fraud, while collaborating with our Engineering, Product, Finance and Operations teams. The ideal candidate combines strong analytical capabilities, a data-driven mindset, domain experience in Trust and Safety, a track record of collaborating with Product and Engineering (or leading relevant Product teams themselves), and experience driving integrity at high-growth marketplaces, gig platforms, or payment providers.

About the Role:


  • Scale operates a global marketplace for talent, working with Contributors in over 100 countries. Keeping our platform safe and trustworthy is a way to not only ensure well-intentioned Contributors can benefit from the platform, but to also ensure our customers continue to receive high-quality data outputs consistently. As such, we are expanding and enhancing our fraud capabilities to be best in the industry

  • We’re looking for a Product Manager (or Senior PM) that will lead dedicated cross-functional teams to solve complex challenges that impact Contributors and Customers. This function intersects our entire user experience – from new user onboarding, to the tasking experience, to contributor payments, to the quality data that comes out on the other side that is sent to our customers

  • You will work within a vertical fraud team protecting our platform from abuse, and also drive horizontal efforts focused on building our Risk Engine, Data Signals Intelligence and Automation / Anomaly Detection capabilities. The Fraud team is a high-impact area to contribute to both the experience of Scale’s unique and global contributor base, and offers a unique opportunity to shape the future of Scale.

You will:


  • Set the product strategy for one of our vertical fraud teams or our horizontal platform fraud team.

  • Develop and execute a data-driven, contributor-focused product roadmap through close collaboration with senior leadership, Operations, Data Science, Analytics, Design, and Engineering while balancing business needs.

  • Translate customer and internal-user needs into clear, well-defined functional and technical requirements backed by data analysis and deep understanding of our users

  • Guide and interface closely with data analysis and engineering teams to define scope, review and refine technical capabilities, prioritize projects for release, and define new opportunities.

  • Build long-term instrumentation, monitoring, and evaluation capabilities for product performance, tracking, and to create product insights.

  • Establish business cases and projected return on investment to identify and prioritize opportunities

  • Partner with Finance and Business Leaders to manage the impact on the profitability of the overall business.

Ideally, you’d have:


  • 5-8 years of experience in Product Management in the tech industry

  • 3+ years of experience in the Risk/Trust & Safety/Fraud domains, with a proven track record of managing fraud, abuse, and adversarial behaviors

  • Strong understanding of new and emerging fraud vectors enabled by AI

  • Experience working in a high-growth, consumer-facing Marketplace business

  • Experience in iterative, agile software delivery, with short release cycles

  • Experience building products from the ground up, seeing them through the scaling journey of a business, and dogfooding to understand the users’ perspective

  • Strong business acumen and analytical experience, with demonstrated success in defining emerging or ambiguous user behaviors and driving continuous iteration in high-uncertainty environments.

  • Deep understanding of modeling workflows, including data labeling, model training, inference, and deployment, with the ability to translate technical concepts into actionable product strategies.

  • High level of proficiency in SQL

  • Experienced in building scalable decision systems, partnering cross-functionally with policy, data science, and operations to enhance user protection and model reliability

  • Excellent communication and stakeholder management skills, capable of influencing across technical and non-technical audiences to drive strategic outcomes.

  • Bachelor’s or advanced degree in a quantitative, engineering, or related discipline, with strong comfort in engaging deeply with technical and data-driven problem spaces.

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. You’ll 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 posting's 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:

$206,800 - $258,500 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 world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's 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 [email protected]. Please see the United States Department of Labor's Know Your Rights poster for additional information.

We comply with the United States Department of Labor's 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.

Posted 2025-10-22

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