Senior Technical Product Manager - Capital One Travel Platform

About this role

Senior Technical Product Manager - Capital One Travel Platform

Senior Manager, Product Management (PXDP55)

We are looking for a Senior Technical Product Manager to own the technical roadmap for the Capital One Travel Core Platform Team — the team that builds the foundational tooling every Travel experience is built on. This is a deeply technical, builder-minded role. We are looking for a former engineer: someone who has shipped software end-to-end, has lived the full arc from design to deployment, and now wants to drive that work as a product leader rather than execute it ticket by ticket.

The Platform Team's mandate is broad. We centralize the shared component library that renders the production experience across all six Travel funnels; we unlock AI-driven front-end development by wiring design-to-code mapping, component metadata, and CI guardrails; we modernize how we test, deploy, release, and observe; and we make the platform something other teams genuinely want to build on. You will own the roadmap that ties these workstreams together and turn a collection of scattered tech-debt initiatives into a coherent, sequenced program with measurable outcomes.

This role sits at the intersection of engineering, design systems, AI tooling, and platform strategy. You will partner closely with engineering leadership, design, and the funnel and agency teams that depend on the platform, translating a technical mandate into a roadmap, a cadence, and shipped results. You will run quarterly stakeholder reviews, own the placemat, and be the person who can sit in an architecture review and an executive narrative session on the same day and be credible in both.

We are building in an AI-first environment, and we expect this person to be a hands-on practitioner — not someone who talks about AI, but someone who actively uses AI tools to prototype, validate, and accelerate development.

What You'll Do • Own the Platform Team's technical roadmap end-to-end — from discovery through delivery — sequencing the component library, AI enablement, deployment/observability, and developer-experience workstreams into one coherent, prioritized plan.

• Drive the centralization of the shared component library (tokens, primitives, wrapped components, Storybook, Figma integration) and the migration of all Travel funnels onto it, holding the line on the target of production DOM rendered from the library.

• Lead the AI-driven development unlock: design-to-code mapping, component metadata for AI grounding, and ESLint/CI guardrails that prevent shadow components — the prerequisites that move AI front-end reuse from near-zero to the majority of scaffolded work.

• Modernize deployment, testing, and observability — test-strategy and coverage compliance, regression-test automation, feature-flag and A/B automation, and proactive monitoring (RUM, crash detection, session replay).

• Prototype and validate technical concepts rapidly using AI tools such as Claude Code, Claude Cowork, Stitch by Google, or equivalent AI-assisted development environments — and help shape how the team uses autonomous and semi-autonomous AI workflows.

• Sit in architecture reviews and design-system working sessions as a credible technical peer, able to reason about tradeoffs, dependencies, and sequencing rather than relaying them.

• Run the operating cadence: quarterly stakeholder reviews, the platform placemat, onboarding kits and migration guides per tool, and developer-experience surveys with closed-loop follow-through.

• Translate an ambiguous, broad mandate into clear technical requirements and a defensible sequence, working with minimal information and iterating as you learn.

• Champion the engineers who build on the platform and the teams who consume it, ensuring developer satisfaction and adoption are treated as first-class outcomes — not afterthoughts.

What We're Looking For • Engineering Background (Required). A former software engineer who has personally shipped production software and experienced the full lifecycle — design, build, test, deploy, operate. You don't just understand engineering; you've done it, and engineers treat you as one of their own.

• Technical Acumen . Deeply credible with engineering partners. Comfortable in architectural discussions, able to evaluate technical tradeoffs first-hand, and fluent in modern front-end platforms, design systems, CI/CD, and observability.

• AI Fluency & Hands-On Prototyping. Direct, hands-on experience using AI-powered development tools — specifically Claude Code, Claude Cowork, or similar platforms (e.g., Stitch by Google) — to prototype and validate ideas. Comfortable working in an AI agent environment where autonomous workflows are part of the toolkit.

• Delivers Business Results. Focuses on the key inputs and delivers them with the right quality and in a timely fashion. Comfortable owning a technical roadmap and making tradeoffs that optimize for long-term platform value.

• Problem Solving. Drives toward solutions in a thoughtful, creative manner. Can navigate a complex, multi-stakeholder, multi-team environment and find the path forward.

• Dealing with Ambiguity. Thrives with limited information and a broad mandate. Takes initiative, frames problems with available context, and iterates toward clarity and sequence.

• Customer First. Treats the engineers who build on the platform and the teams who consume it as customers — deeply understands their pain points and reflects them in every roadmap decision.

• Teamwork. Excellent collaborator across engineering, design, data, and product. Puts the team before the individual and operates with a community mindset.

• Simplicity. Finds elegant, simple solutions to complex technical and organizational challenges. Resists over-engineering.

• Communication. Clearly articulates priorities, strategies, and tradeoffs to both engineers and executives — concise, direct, and actionable.

• Design / UX Sensibility. Has an eye for good design

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