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Product Owner / Product Manager Enterprise AIDiverse LynxNew York, New York, United States
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Product Owner / Product Manager Enterprise AI

Diverse Lynx
  • US
    New York, New York, United States
  • US
    New York, New York, United States

À propos

Product Owner / Product Manager

We are seeking an experienced Product Owner / Product Manager to lead the end-to-end lifecycle of Enterprise AI and GenAI products. This role is responsible for product discovery, requirements definition, roadmap development, and delivery of AI-enabled solutions that drive measurable business value.

The ideal candidate combines strong product management expertise, a solid understanding of AI / GenAI concepts, and the ability to collaborate effectively across business stakeholders, UX, data science, engineering, and governance teams. This role operates in a hybrid work model with day-shift alignment and no regular travel required.

Core Role Profile

Primary Role: Product Manager / Product Owner for Enterprise AI products

Focus Mix:

~7075% Product discovery, strategy, requirements, and delivery

~10% Program, governance, and compliance coordination

Remaining time supporting UX collaboration and rapid prototyping

Key Responsibilities

1. Product Discovery & Service Design

Partner with business users to understand current workflows, systems, data, and pain points

Conduct discovery and service design exercises to identify AI and non-AI solution opportunities

Translate business problems into clearly defined product opportunities

Map opportunities to appropriate AI and supporting technologies at a high level

2. Rapid Prototyping & UX Collaboration

Utilize AI-assisted and low-code prototyping tools to:

Generate and refine product requirements

Create high-fidelity interactive prototypes and UI mockups

Collaborate closely with UX designers to iterate on designs and improve user experience

Use prototypes primarily to communicate intent, validate concepts, and gain stakeholder buy-in

3. Product Strategy, Value & ROI

Define product value propositions and success metrics

Develop high-level ROI assessments, including:

Efficiency and FTE savings

Cost reduction opportunities

Revenue or value generation potential

Ensure product decisions align with enterprise priorities, governance standards, and ethical AI considerations

4. Product Design, Roadmap & Delivery

Own detailed requirements gathering, including data mapping and sample data definition

Work closely with:

Data scientists

Architects

Engineering teams

Define and manage:

Product roadmaps (MVP through post-MVP scaling)

Epics, features, and user stories

Backlog prioritization and sprint planning

Leverage Agile delivery practices while ensuring enterprise transparency and governance

5. AI Model & Evaluation Ownership

Support LLM and model selection, provisioning, and use-case alignment

Define and oversee model evaluation strategies, including:

Universal metrics (accuracy, latency, hallucination risk, completeness)

Use-case-specific performance criteria

Partner with model evaluation, risk, and governance teams to ensure responsible AI adoption

6. Testing, Launch & Ongoing Operations

Coordinate testing efforts with QA, business users, and technical teams

Support production readiness, rollout planning, communications, and training

Post-launch:

Monitor AI solution performance in production

Track outcomes against defined success metrics

Drive continuous improvement and roadmap execution

Required Skills & Experience

Strong experience as a Product Manager or Product Owner delivering enterprise products

Solid understanding of AI / GenAI concepts, use cases, and lifecycle considerations

Proven ability to work across business, UX, data, engineering, and governance teams

Experience with:

Requirements discovery and lifecycle management

Roadmap definition and backlog management

Agile delivery frameworks

Comfort navigating enterprise governance, risk, and compliance processes

Excellent communication, stakeholder management, and facilitation skills

Ability to operate effectively in a hybrid work environment

Nice to Have Skills

Background in data science, engineering, or software development

Prior experience in healthcare or regulated industries

Hands-on exposure to AI-assisted prototyping or low-code tools

Diverse Lynx LLC is an Equal Employment Opportunity employer. All qualified applicants will receive due consideration for employment without any discrimination. All applicants will be evaluated solely on the basis of their ability, competence and their proven capability to perform the functions outlined in the corresponding role. We promote and support a diverse workforce across all levels in the company.

  • New York, New York, United States

Compétences linguistiques

  • English
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