Top Tech Jobs & Startup Jobs in NYC, NY

As a Machine Learning Engineer, you will design, build, and deploy ML models for underwriting at Stripe Capital, ensuring performance while collaborating with multiple teams.

The role involves writing and maintaining fraud rulesets, conducting data analysis to identify and mitigate fraud, and collaborating with cross-functional teams to implement fraud strategies.

As a Payments Fraud Investigator, you will analyze high-risk accounts, lead investigations into fraud incidents, and collaborate on cross-functional projects to enhance fraud detection and prevention strategies.

Own GTM enablement for Stripe's Commerce Experiences: create seller-ready content, design and deliver training, surface field insights, analyze market and enablement data, and support product launches to drive adoption across enterprise, mid-market, and platform buyers.

Lead the Abuse Research Group to set research agenda, investigate threat actors and fraud campaigns, and translate findings into production detection, automated responses, and cross-functional protections while hiring and mentoring technical staff.

Lead and scale Stripe's global sanctions program, manage regional sanctions teams, drive transformation toward automation, partner with Engineering/Product on tooling and screening logic, ensure regulatory exam readiness, and report program health to senior leadership.

Analyze operational performance for Tax operations by conducting deep-dive investigations, identifying root causes, building dashboards and self-serve reporting, applying statistical methods to evaluate experiments, and communicating actionable insights to operations and leadership to improve measurement and scalability.

As a Product Designer at Stripe, you will create user-centered designs, collaborate with cross-functional teams, and lead design projects to enhance user experiences.

Own and run the ERM program for Stripe MALPB: roll out RCSAs, maintain control libraries and KRIs, produce Board-level risk scorecards, and design/implement AI-driven automation and real-time monitoring using SQL, Python, APIs, and LLM orchestration to automate evidence collection and GRC workflows.

Build data- and agent-backed systems to identify, triage, and prioritize vulnerabilities; coordinate and drive remediation across teams; improve scanning tools and processes; and advise on security risk and vulnerability management strategy.