American Express
Director - Digital Product Management
Sunnyvale, CA +1 · Hybrid · Director · Full-time · Posted Oct 29, 2026
- Location
- Sunnyvale, CA
New York, NY - Experience
- 10+ years in product management, software engineering, or platform engineering; 5+ years in product leadership roles; 3+ years leading product managers.
- Education
- Bachelor's or Master's degree in Computer Science, Engineering, Business or a related field, or equivalent experience.
- Visa sponsorship
- Employment eligibility to work with American Express in the United States is required; the company will not pursue visa sponsorship for these positions.
About the job
Leads product strategy and a team for AI developer tools and agents that build, test, secure, release, and operate software across American Express.
What you'll do
- Own the Agentic SDLC product vision, strategy, roadmap, and outcomes.
- Lead and develop product managers; oversee discovery, prioritization, enterprise rollout, and adoption.
- Define agent autonomy, human oversight, controls, metrics, and partnerships across engineering, security, risk, and governance.
What they ask for
- 10+ years in product management, software engineering, or platform engineering, including 5+ years in product leadership and 3+ years leading product managers.
- Track record shipping developer tools, platforms, or internal engineering products used by thousands of engineers in a large, regulated enterprise.
- Hands-on experience bringing LLM-based tools or agentic workflows to production, including tool use, orchestration, evaluation, and guardrails.
- Deep knowledge of modern SDLC and experience with developer productivity metrics, software supply chain security, and financial services regulatory and audit expectations.
Nice to have
- Experience managing AI or developer tooling vendors and partners, including commercial evaluation and total-cost analysis.
Pay
USD 144250 - 256250 annually (base salary)
Tools
GitHub, GitLab, Bitbucket, Artifactory, Nexus, CI/CD, LLM
AI focus
Owns AI developer tools and agents for software delivery, including agent orchestration, autonomy, evaluation, guardrails, and enterprise adoption.
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