Drimva

JPMorgan Chase

Technical Product Owner-Vice President (Corporate Technology, Document Platform)

$147K–$200K

Jersey City, NJ +1 · Director · Full-time · Posted Oct 30, 2026

Location
Jersey City, NJ
Wilmington, DE
Experience
7+ years, or equivalent expertise.

About the job

Leads strategy, roadmap, and end-to-end delivery of an enterprise AI-enabled document platform, from customer discovery through adoption and continuous improvement.

What you'll do

  • Own product vision, roadmap, backlog, delivery, launches, and measurement for the platform.
  • Partner with engineering and architecture to define platform services, APIs, integrations, data capabilities, and non-functional requirements.
  • Identify AI opportunities across document processing, search, understanding, governance, and automation; measure outcomes and drive adoption.

What they ask for

  • 7+ years of experience, or equivalent expertise, in technical product management or product ownership, including complex products or enterprise platforms.
  • Experience delivering enterprise technical products, platform services, APIs, integrations, data products, workflow solutions, or shared capabilities through multiple production releases.
  • Strong technical fluency in architecture, APIs, integrations, cloud patterns, data models, scalability, resiliency, security, observability, and non-functional requirements.
  • Product-management expertise spanning discovery, prioritization, backlog management, agile delivery, release planning, metrics, and AI product development.

Nice to have

  • Product experience with enterprise platforms, SaaS, workflow, search, data, content, or AI-enabled products; document or content management knowledge is also valued.
  • Experience delivering AI-enabled capabilities or designing products for regulated, security-conscious, or operationally complex environments.

Pay

Jersey City,NJ USD 147,250.00-USD 200,000.00 base salary

Tools

APIs, cloud, artificial intelligence, machine learning, generative AI, retrieval-augmented generation, Jira, Confluence

AI focus

Define and deliver AI, machine learning, and generative AI capabilities for document processing, extraction, classification, summarization, semantic search, question answering, and automation; address data readiness, model and vendor evaluation, quality measurement, monitoring, responsible AI, and human-in-the-loop design.

Model-written summary · the original posting is authoritative

First seen Oct 31, 2026 · Last verified Nov 6, 2026 (UTC)