Note: The job is a remote job and is open to candidates in USA. Capital One is a digital-first financial institution that has productized its technology into a standalone B2B SaaS business. The Director of Product Management Operations & AI Enablement will lead the adoption and operational deployment of AI tools across the enterprise, optimizing product management processes to enhance business outcomes.
Responsibilities
- Streamline Intake & Prioritization: Standardize frameworks for cross-functional requirements gathering, portfolio investment trade-offs, and strategic planning cycles
- Eliminate Operational Friction: Audit existing Agile/Scrum overhead, systematically removing non-value-add meetings and administrative roadblocks so product managers can focus on customer discovery and strategy
- Cross-Functional Connective Tissue: Align Product, Engineering, Design, Risk/Legal, and Go-To-Market (GTM) teams around unified operating rhythms and clear stakeholder communication streams
- Transform the SDLC: Redesign and mature the end-to-end Product Lifecycle Management (PLM) and SDLC frameworks, moving teams from rigid, sprint-based execution to continuous, AI-accelerated delivery workflows
- Orchestrate AI Tooling Adoption: Lead the enterprise-wide operational strategy, rollout, and scaling of our core internal AI platform and third-party AI enablement capabilities (e.g., automated PRD creation, AI-assisted roadmapping, synthetic user testing, and AI-driven release documentation)
- Define "Agentification" Playbooks: Partner with engineering leadership to build the frameworks and playbooks required to integrate AI agents into daily team routines, requirements intake, backlog governance, and quality management
- Build AI Fluency: Establish a Product Center of Excellence to upskill product teams in AI literacy, prompt engineering, and responsible AI guardrails, ensuring organizational readiness
- Process Insights Infrastructure: Manage the product operations tooling stack (Jira, LogRocket, etc.) to enable the team to complete AI-Native workflows with optimal efficiency
- Outcome-Based KPIs: Establish and monitor, in partnership with the Data & Analytics team, organizational metrics beyond pure delivery velocity to additional business outcomes, tracking how AI-Native development impacts all aspects of the value chain
Skills
- Bachelor's degree in any field and 5 years of Product Management experience
- Transformation & Deployment Track Record: Proven success leading the rollout, change management, and scaled adoption of large enterprise software platforms, developer tools, or enterprise-wide Agile/DevOps transformations
- AI Technical Literacy: Deep familiarity with emerging AI tool chains, developer agents, and LLM capabilities. Experience scaling internal AI productivity tools
- Methodology Expertise: Strong structural understanding of traditional product frameworks (Scrum, Lean, Design Thinking) paired with a highly pragmatic approach to automating or dismantling them
- Influence & Executive Presence: Exceptional communication skills with a demonstrated ability to partner with and influence VPs of Product, Engineering Directors, and senior risk leaders without direct authority
Benefits
- Performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.
- Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.
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