Director, Product Development, AI Enablement at Capital One | CA, US | Rezi

Director, Product Development, AI Enablement at Capital One

Director, Product Development, AI Enablement

Capital One · CA, US

Today

Director, Product Development, AI Enablement

Capital One · CA, US

16 hours ago
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About the Role

A Director of AI Enablement Product Management is a strategic hands-on product leader who will fundamentally rethink how the eData product organization - and ultimately Capital One - works with AI. You will act as the tip of the spear in driving enterprise-wide adoption of AI workflows, transforming our operations at every level: the tools we build, the processes we follow, and the mechanisms we use to measure success.

Responsibilities

  • Act as the tip of the spear in driving enterprise-wide adoption of AI workflows.
  • Transform operations at every level: the tools we build, the processes we follow, and the mechanisms we use to measure success.
  • Demonstrate proficiency in Human Centered, Business Focused, Technology Driven, Integrated Problem Solving, and Transformational Leadership.
  • Obsess about internal and external customer needs to reimagine and innovate product solutions.
  • Deliver game-changing outcomes by focusing on leverage and execution excellence.
  • Leverage technology to deliver innovative and resilient solutions that enable both near term and long term value.
  • Identify and resolve complex problems to deliver outcomes while mitigating product risks.
  • Lead cross functional teams to solve customer problems and drive organizational alignment.

Requirements

  • Bachelor's degree in any field and at least 5 years of Product Management experience.
  • Demonstrated track record of actively utilizing AI productivity, prototyping, and coding tools (e.g., advanced LLM prompting, Cursor, GitHub Copilot, v0) to accelerate your own product workflows, technical discovery, and delivery.
  • Experience translating complex business strategy and operational bottlenecks into scalable internal AI products, developer platforms, or automated enterprise workflows.
  • Experience with scaled product operations in fast pace, tech-forward environments.
  • Proven success architecting and scaling internal developer platforms, AI architectures, or enterprise data tools that significantly reduce operational overhead and manual toil.
  • Demonstrated experience embedding Responsible AI practices (transparency, explainability, compliance) and establishing strict LLM evaluation pipelines, guardrails, and zero-hallucination thresholds.
  • Experience driving enterprise adoption and change management, ensuring behavioral shifts and continuous feedback loops across finance, legal, and business unit leaders.
  • Ability to translate complex technical concepts into business value, with a proven track record of owning multi-year product roadmaps and delivering measurable KPIs (e.g., reporting velocity, data query success rates, audit efficiency).
  • Capital One will not sponsor a new applicant for employment authorization or offer any immigration related support.

Skills

  • AI enablement tools
  • Product rigor
  • Relentless innovation
  • Customer obsession
  • AI-native
  • AI workflows
  • Product management
  • Human Centered
  • Business Focused
  • Technology Driven
  • Integrated Problem Solving
  • Transformational Leadership
  • Advanced LLM prompting
  • Cursor
  • GitHub Copilot
  • v0
  • Responsible AI practices
  • LLM evaluation pipelines
  • Guardrails
  • Zero-hallucination thresholds
  • Change management
  • KPIs

Location

  • New York, NY
  • McLean, VA
  • San Francisco, CA

Work Type

  • Hybrid

Experience Level

  • Director
  • At least 5 years of Product Management experience

Education Level

  • Bachelor's degree in any field

Salary/Compensations

  • New York, NY: $251,400 - $286,900
  • McLean, VA: $230,400 - $263,000
  • San Francisco, CA: $251,400 - $286,900

Benefits

  • Comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being.
  • Eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI).

About the Company

  • Product Management at Capital One is a booming, vibrant craft that requires reimagining the status quo, finding value creation opportunities, and driving innovative and sustainable customer experiences through technology.
  • We believe our portfolio of businesses and investments in growth and transformation will result in a company with the scale, brand, capabilities, talent, and values to succeed as the digital revolution transforms our society and our industry.
  • The Enterprise Data team is dedicated to maximizing the value of our data ecosystem, enabling real-time, intelligent experiences built upon a scalable and future-proof foundation.
  • We are a highly collaborative, cross-functional organization.
  • Our work involves harmonizing product, technology, design, risk, and other key partners to forge a modern data ecosystem.
  • Within Enterprise Data, our team features one of the most highly-engaged, creative tech partnerships, experimenting with AI enablement tools, bringing product rigor to how we measure success, and cultivating a culture of relentless innovation and customer obsession.

Equal Opportunity

  • Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws.
  • Capital One promotes a drug-free workplace.
  • Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.