Director, Product Management, Enterprise AI/ML, Agentic AI

Capital One Financial

Confirmed live today High trust

Quick summary

Work type: On-site
Location: New York, NYSan Francisco, CA
Salary: $251,400–$286,900 / yr
Employment: Full-time
Posted: 13 days ago
Freshness: Confirmed live today
Nearby: 99+ roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $227k

This role $269k

$163k $300k

below market most similar roles pay here above market

This role pays more than 80% of similar roles. Most pay $191,000–$262,450 — the blue band above. At the midpoint, this role pays about $269k versus about $227k for comparable roles.

Based on 240 similar postings.

Employer

About Capital One Financial

Capital One Financial is a bank holding company specializing in credit cards, auto loans, banking, and savings products, known for its data-driven approach to consumer and commercial finance. Industry: Financial Services & Banking

Capital One Financial currently has 2107 open roles on FindRole.

Listed pay typically runs $197,300–$225,100 across 1107 roles with salary data.

Most-posted roles

View all roles at Capital One Financial

At a glance

TL;DR · Director, Product Management, Enterprise AI/ML, Agentic AI

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The Director, Product Management - Enterprise AI/ML - Agentic AI leads a product team spanning the Machine Learning and AI platforms. This role involves defining the vision and strategy for Generative AI and ML platforms, enabling associates to train and serve models and Generative/Agentic AI applications. The successful candidate will evolve industry-leading AI/ML capabilities while maintaining a pristine user experience for data scientists and software developers. Key responsibilities include partnering with platform leaders to maintain a cohesive enterprise ecosystem and driving adoption of autonomous multi-agent systems. Required technical competencies include experience with public cloud environments like AWS and open source technologies such as Kubernetes, Spark, Ray, and LangChain. The role focuses on solving complex problems in AI Risk Management and building business-critical AI products.

Skills

Generative AI Machine Learning Agentic AI AWS Kubernetes Spark Ray LangChain Open Source AI Risk Management Multi-agent Systems

What you'll do

Define the vision and strategy for the Generative AI and Machine Learning platforms.
Lead a product team responsible for capabilities that enable associates to train and serve models.
Evolve AI/ML platforms to provide high-quality experiences for data scientists and software developers.
Partner with adjacent platform leaders to maintain a cohesive and integrated enterprise ecosystem.
Drive the adoption of Generative AI and autonomous multi-agent systems across the business.
Identify and resolve complex problems to deliver outcomes while mitigating product risks.
Translate business strategy and analysis into consumer-facing digital products.

What we're looking for

Bachelor's degree in any field.
At least 5 years of Product Management experience.
Experience translating business strategy and analysis into consumer-facing digital products (preferred).
7+ years of experience within a large, data-intensive multi-line of business environment (preferred).
3+ years of experience in people leadership (preferred).
5+ years of experience in innovative technology environments embracing public cloud and open source technologies (preferred).
3+ years experience building business-critical AI and Machine Learning products (preferred).
Experience in AI Risk Management (preferred).

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