Jobs in Redwood City, CA

About the role

Poshmark is redefining the future of social commerce by creating a trusted, engaging marketplace where millions of buyers and sellers connect every day. As our marketplace continues to scale, maintaining trust across the ecosystem is critical to enabling sustainable growth, protecting our community, and delivering exceptional customer experiences. We are looking for a Staff Risk Strategy Analyst to develop and scale marketplace risk strategies across buyer, seller, and account-level abuse vectors. This role will be responsible for designing and optimizing sophisticated risk decisioning strategies that mitigate fraud and abuse while minimizing friction for legitimate users. This role operates at the intersection of analytics, fraud strategy, trust & safety, identity, payments risk, and platform integrity. The ideal candidate combines deep analytical expertise with strong business judgment and a passion for solving complex marketplace abuse problems. They will partner closely with Data Science, Product, Engineering, Operations, and Trust & Safety teams to identify emerging threats, drive strategy innovation, and improve risk decisioning across the Poshmark ecosystem. This role will leverage internal and external risk platforms, data tools, and orchestration capabilities to rapidly design, test, deploy, and optimize risk strategies across the customer lifecycle.

What you'll bring

• Bachelor’s degree in a quantitative field such as Statistics, Mathematics, Economics, Computer Science, Finance, Operations Research, or related discipline with 8+ years of relevant experience, or advanced degree with 6+ years of experience in fraud, risk, trust & safety, or advanced analytics
• Deep experience developing and optimizing fraud, abuse, or trust-related strategies within marketplace, e-commerce, fintech, payments, or platform ecosystems
• Strong proficiency in SQL and experience working with large-scale transactional and behavioral datasets
• Experience leveraging internal and third-party risk decisioning, orchestration, identity, or fraud prevention platforms
• Strong understanding of marketplace fraud vectors including account abuse, payment fraud, refund abuse, fake accounts, spam, listing abuse, social engineering, and platform manipulation
• Experience partnering with Data Science and Machine Learning teams to operationalize predictive models into production risk workflows
• Demonstrated success designing experiments, measuring impact, and balancing fraud mitigation with customer experience and business growth objectives
• Strong analytical and problem-solving skills with the ability to break down complex problems and solve from first principles
• Ability to navigate ambiguity, prioritize effectively, and drive complex cross-functional initiatives in a fast-paced environment
• Excellent communication, storytelling, and stakeholder management skills with the ability to influence both technical and non-technical audiences
• Strong business acumen with the ability to translate data insights into strategic recommendations and measurable business impact
• Passion for protecting marketplace integrity and building trusted user experiences at scale