Product Owner/Platform Manager
About this role
Employer-provided description, formatted for easier reading.
Product Owner / Product Manager – Enterprise AI Platform
Location:
Hybrid – DMV / North East Coast
Employment Type:
Full-Time / Contract
Position Overview
We are seeking a
Product / Platform Owner
to own the roadmap, prioritization, and execution lifecycle of an
Enterprise AI Platform
.
This is a technical Product Owner/Product Manager role requiring close collaboration with
AI/ML, cloud, architecture, engineering, cybersecurity, and product teams
. The ideal candidate can bridge business priorities with technical execution and does not need to be a hands-on engineer.
Key Responsibilities
- Own the
platform roadmap, backlog, priorities, and release plans
.
- Translate business and technical requirements into
epics, features, user stories, and acceptance criteria
.
- Lead
sprint planning, backlog refinement, dependency management, and execution tracking
.
- Coordinate priorities across engineering, AI/ML, cloud, architecture, security, and product teams.
- Support platform capabilities including
LLM services, RAG/vector search, APIs, AI agents, model hosting, monitoring, guardrails, and shared AI services
.
- Balance new capabilities with
technical debt, scalability, reliability, security, governance, and platform adoption
.
- Communicate roadmap, priorities, risks, and delivery status to technical and business stakeholders.
Qualifications
- 5+ years
of experience in Product Management, Product Ownership, Technical Product Management, Platform Management, or a related field.
- Experience managing
technical/enterprise platforms
, preferably AI/ML, cloud, data, or similar platforms.
- Strong experience with
roadmaps, backlogs, Agile/Scrum, user stories, acceptance criteria, and release planning
.
- Comfortable working with highly technical teams and understanding complex technical concepts.
- Strong communication, stakeholder management, prioritization, and problem-solving skills.
- Familiarity with
Generative AI, LLMs, RAG, vector databases, AI agents, cloud platforms, or AI governance
is highly preferred.
Ideal Profile
A technically strong Product Owner/Product Manager who can effectively connect business/product strategy with engineering and AI platform execution .