Top Tech Jobs & Startup Jobs in Denver & Boulder, CO

Lead data strategy for Stripe's risk product, design metrics and frameworks, manage data reliability, mentor analysts, and evaluate risk experimentations.

Manage and align risk policies, workflows, and due diligence with financial partners. Evaluate merchants, identify trends, use data to drive process improvements, and build scalable operational controls and reporting to mitigate partner and regulatory risk.

Provide legal and regulatory counsel to product, engineering, and partnerships teams on Stripe products. Draft and review product terms and documents, advise through product lifecycle from scoping to launch, monitor laws on consumer financial data access, and collaborate cross-functionally to shape product roadmap and compliance.

Design and prototype high-quality Dashboard experiences for Stripe. Research users and ecosystem, collaborate with product, engineering, research, and content design, iterate via reviews, and balance user and business priorities to deliver elegant, user-centered UI.

Design end-to-end for Link and Bridge web surfaces: lead strategy through launch, collaborate with cross-functional partners, advance design systems and patterns, apply research and performance data, and ensure high craft and implementation fidelity.

The Data Science Manager will lead and mentor a team of data scientists, drive data-driven decision-making across Stripe, and collaborate with various stakeholders. Responsibilities include managing projects, recruiting, and contributing to broader data science initiatives.

Design, build, and maintain full‑stack services and tooling that power Stripe's global support operations. Expand live channel integrations (voice/messaging) including Greater China platforms, debug production issues, collaborate cross‑functionally, and improve engineering standards and processes.

Own go-to-market strategy and adoption for Stripe's data products. Develop positioning, messaging, competitive intelligence, launch plans, demand programs, and sales enablement. Translate customer and market insights into roadmap recommendations and measurable KPIs while partnering cross-functionally to drive commercialization and growth.

Manage high-risk tax escalations, investigate root causes, coordinate cross-functional resolution, improve processes and operational readiness, and reduce repeat failures through prevention and automation.

Lead design, execution, and optimization of scaled lifecycle campaigns across email and in-product channels. Use marketing automation, behavioral data, and ML techniques to personalize journeys, drive activation, revenue, retention, and cross-sell. Analyze performance, generate insights, and collaborate with Growth, Product, Engineering, Data Science, Analytics, Sales, and Marketing stakeholders.