Scale AI
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Trust and Safety Product Manager
role at
Scale AI
About Scale Scale AI develops reliable AI systems for the world's most important decisions. Our products provide high-quality data and full-stack technologies that power leading models and help enterprises and governments deliver real impact.
Responsibilities
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.
Qualifications
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 Base salary range for this full‑time position in San Francisco, New York, Seattle is $206,800–$258,500 USD. Compensation packages include a base salary, equity, and benefits such as comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, generous PTO, and a commuter stipend.
Equal Opportunity 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 provide reasonable accommodations to applicants with disabilities. We comply with the U.S. Department of Labor’s Pay Transparency provision.
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Trust and Safety Product Manager
role at
Scale AI
About Scale Scale AI develops reliable AI systems for the world's most important decisions. Our products provide high-quality data and full-stack technologies that power leading models and help enterprises and governments deliver real impact.
Responsibilities
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.
Qualifications
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 Base salary range for this full‑time position in San Francisco, New York, Seattle is $206,800–$258,500 USD. Compensation packages include a base salary, equity, and benefits such as comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, generous PTO, and a commuter stipend.
Equal Opportunity 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 provide reasonable accommodations to applicants with disabilities. We comply with the U.S. Department of Labor’s Pay Transparency provision.
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