JPMorgan Chase
Product Manager Vice President - Go to Market Strategy & Execution Client Engagement
$133K–$215K
New York, NY +1 · Director · Full-time · Posted Oct 30, 2026
- Location
- New York, NY
Jersey City, NJ - Experience
- 5+ years in product management or a relevant domain area, or equivalent expertise; also 5+ years in one of the listed strategy, product, marketing, consulting, or technology-focused roles.
About the job
Drives go-to-market strategy and sustained engagement to increase business-unit adoption of JPMorganChase’s AI/ML and Data Platform, translating platform capabilities into business-focused narratives and customer proof points.
What you'll do
- Conduct stakeholder interviews and qualitative research; create intelligence briefs, persona narratives, and tailored engagement strategies.
- Lead roadshows, briefings, and other engagement initiatives in partnership with product, engineering, marketing, customer success, and business teams.
- Develop lighthouse customer stories and track business-unit progression from platform awareness to usage.
What they ask for
- 5+ years of experience or equivalent expertise in product management or a relevant domain area.
- 5+ years of career experience in strategy consulting, product management, product marketing management, solutions consulting, or technology-focused strategy roles.
- Advanced knowledge of the product development life cycle, design, and data analytics.
- Demonstrated experience with B2B and enterprise GTM, adoption or change management, qualitative research, persuasive writing, and presentations.
Nice to have
- Experience marketing or positioning platform or infrastructure products for internal or enterprise audiences.
- Familiarity with data and AI platform ecosystems, including data mesh, model serving, and governance infrastructure.
Pay
$133,000.00-$215,000.00 USD base salary (New York,NY); $133,000.00-$215,000.00 USD base salary (Jersey City,NJ)
Tools
data mesh, model serving, knowledge bases, agentic AI
AI focus
Drives adoption of AI/ML and Data Platform capabilities, translating technical platform capabilities into business-focused narratives and use cases.
Model-written summary · the original posting is authoritative