Top Product Management Jobs in San Francisco, CA

Leads product strategy and operations for AI/ML platforms, including roadmap prioritization, operational frameworks, adoption of generative and agentic AI, and internal user experience improvements. Partners with Product, Engineering, TPM, and business teams to translate vision into execution, manage programs, develop teams, and drive strategic decisions through quantitative and qualitative analysis.

Leads the enterprise vision and strategy for Capital One’s developer experience and context ecosystem. Owns measurement frameworks and a portfolio of data products that assess software development effectiveness. Translates developer experience metrics into strategic organizational improvements that help engineering teams build software faster, with higher quality and less friction. Leads product strategy, cross-functional alignment, innovation, and enterprise platform initiatives.

Leads infrastructure product management for cloud operations resilience and enterprise connectivity. Defines platform strategy, improves network infrastructure, translates customer and business needs into technology products, drives innovation, resolves complex problems, and aligns cross-functional teams. The role focuses on resilient infrastructure supporting public cloud environments, campuses, and remote workers.

Lead Capital One’s Developer Experience Telemetry workstream by defining telemetry strategy, privacy and security guardrails, unified data products, and developer-focused dashboards. Partner with Engineering, Machine Learning, Cyber, and Enterprise Data teams to capture and evaluate software development data, measure productivity and quality outcomes, optimize costs, and enable automated data-driven decisioning. Drive cross-functional alignment and transformational product leadership while managing surveillance, compliance, complexity, and signaling risks.

Leads the vision, strategy, and product team for enterprise AI/ML platforms supporting model training, serving, and generative or agentic AI applications. Partners with platform leaders, data scientists, and software engineers to evolve scalable capabilities, improve user experience, drive adoption, and deliver business value. Requires strong technical product leadership, AI/ML expertise, people management, and experience in complex technology environments.

Leads the AirKey product management team and develops the roadmap for Capital One’s proprietary hardware authentication technology. Partners with engineering and commercial stakeholders to define strategy, implement solutions, build customer-facing digital products, identify monetization opportunities, and establish a new B2B business. Provides transformational leadership, translates business strategy into products, evaluates partner feedback, and guides product managers.

Leads enterprise product management by identifying customer needs, translating business strategy into digital products, driving technology-enabled innovation, solving complex problems, mitigating product risks, and aligning cross-functional teams toward transformational outcomes.

Leads enterprise AI enablement product strategy, including internal AI infrastructure, autonomous agents, RAG systems, governance guardrails, semantic layers, and workflow transformation. Drives enterprise adoption, responsible AI practices, compliance, and integration across engineering, finance, legal, and business teams. Requires a bachelor’s degree and at least five years of product management experience.

Define and lead Capital One’s AI Assistance product strategy, including the Eno chatbot. Develop a technical roadmap aligned with customer needs, business KPIs, architecture modernization, risk governance, and emerging AI/ML capabilities. Partner with product, engineering, data science, design, and risk teams to deliver incremental outcomes, establish governance, and grow the AI Assistance organization.

Own consumer growth and retention product experiences for Capital One Shopping. Lead reward and activation strategies, personalized user journeys, rapid A/B testing, engineering collaboration, prioritization, business cases, and performance monitoring. Use SQL, Excel, financial modeling, and behavioral analytics to guide investment and product decisions. The role requires strong product leadership, technical curiosity, AI aptitude, and experience building consumer-facing digital products.