Top Product Management Jobs in San Francisco, CA

Leads the enterprise vision and strategy for Capital One’s developer experience and Context Ecosystem. Oversees data products and measurement frameworks that assess software development effectiveness, translating developer experience metrics into improvements in engineering speed, quality, and efficiency. Builds product strategy, leads product management teams, drives cross-functional alignment, and manages large-scale enterprise platforms.

Leads Capital One’s Developer Experience Telemetry workstream, defining strategy and guardrails for collecting software development data. Builds unified data products, developer tools, usage dashboards, and cost-optimization mechanisms while balancing privacy, security, compliance, and risk. Establishes rule-based and model-based evaluation frameworks, measures developer productivity and ROI, and drives data-informed decisioning. Partners with Engineering, Machine Learning, Cyber, and Enterprise Data teams while influencing senior executives and leading cross-functional product initiatives.

Leads product management for infrastructure, cloud operations resilience, enterprise connectivity, and network platforms. Drives product strategy, customer-focused solutions, technology innovation, business outcomes, risk mitigation, and cross-functional organizational alignment. Requires translating business strategy into digital products and guiding modernization across data centers, infrastructure, networking, and zero trust architecture.

Owns a portion of the AirKey product roadmap, partnering with design, business, technology, external clients, and sales to commercialize authentication technology. Drives frontend and backend capabilities, customer and client experiences, product strategy, risk mitigation, cross-functional alignment, and innovative digital solutions. Requires strong communication, judgment, client focus, multitasking, and independent decision-making.

Lead the strategy, vision, and product team for enterprise AI/ML platforms supporting model training, model serving, and generative or agentic AI applications. Partner with platform leaders to build integrated capabilities, improve user experiences for data scientists and developers, drive adoption, and deliver business value. The role requires technical product leadership, AI/ML expertise, cross-functional influence, and people management.

Leads the AirKey product management team and develops strategy, roadmap, and commercial partner implementations for Capital One’s proprietary authentication technology. The role involves translating customer and partner feedback into digital product solutions, driving 0-to-1 product development, identifying monetization opportunities, collaborating with technology teams, managing product risks, and building and developing product management talent.

Leads enterprise product management and experience strategy at Capital One. Reimagines customer and internal experiences, identifies value creation opportunities, translates business strategy into digital products, leverages technology, solves complex problems, mitigates product risks, and aligns cross-functional teams to deliver innovative and sustainable outcomes.

Leads enterprise AI enablement product strategy and development, including internal AI infrastructure, autonomous agents, RAG systems, semantic layers, integration capabilities, governance, evaluation pipelines, and responsible AI guardrails. Drives workflow transformation, adoption, change management, cross-functional alignment, and feedback loops across engineering, finance, legal, and business teams.

Leads the vision, strategy, roadmap, architecture modernization, governance, and team growth for Capital One’s AI Assistance platform and Eno chatbot. Partners with product, engineering, data science, design, and risk teams to deliver customer-focused digital financial experiences, manage AI/ML risks, and achieve measurable business outcomes.

Lead consumer growth and retention product experiences for Capital One Shopping. Own reward and activation strategy, personalization, product journeys, business cases, prioritization, analytics, operational reporting, and investment decisions. Partner closely with engineering to rapidly build, A/B test, and optimize digital experiences. Use SQL, Excel, financial modeling, user behavior insights, and AI-enabled approaches to drive product adoption, activation, retention, and business growth.