About the Role 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 safeguard our platform from a range of fraud vectors while ensuring an excellent, fair experience for legitimate contributors and supporting healthy business growth. What You’ll Do 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 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. 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 and dogfooding to understand users’ perspectives. 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 and 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 engaging deeply with technical and data‑driven problem spaces. Compensation Base salary range for this full‑time position in San Francisco, New York, Seattle: $206,800 – $258,500 USD per year. EEO Statement At Scale, 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. #J-18808-Ljbffr Scale AI
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