Eliza
AI Product Manager
United States
Sponsorship not specifiedDetected 118 days ago
Vector DatabasesMachine LearningLLMsAI OrchestrationA/B TestingProduct ManagementStakeholder ManagementBusiness DevelopmentCommunicationCollaboration
About the role
- We are seeking an AI Product Manager to serve as the technical counterpart to our business development team and the owner of AI product delivery across our client portfolio.
- This role spans ChatGPT Enterprise adoption programs and custom API/agent engagements, requiring someone who can translate between C-suite business goals and engineering constraints without pretending to be either.
- It's the right role for a sharp, structured thinker who thrives on ambiguity, communicates with clarity, and knows how to get AI products across the finish line in the real world.
Responsibilities
- Build and maintain a scored use case backlog for each engagement, evaluating opportunities against feasibility, data readiness, and measurable business impact.
- Own the end-to-end lifecycle of AI products from scoping through production launch, including requirements definition, prompt and agent architecture decisions, and acceptance criteria.
- Write clear product specs that translate business problems into technical requirements engineering can build against, covering inputs, outputs, constraints, and success metrics.
- Manage the gap between demo and production: identify edge cases, compliance requirements, data quality issues, and scalability risks early and build plans around them.
- Drive iterative development cycles, working hands-on with prompt engineering and agent design decisions alongside the technical team.
- Own the definition of what success looks like for every AI deployment, connecting model performance to the business outcomes the client actually cares about.
- Serve as the connective tissue between business stakeholders and engineering, ensuring technical teams build what matters and business leaders understand what is possible.
- Lead client-facing working sessions to align on scope, priorities, and tradeoffs, translating complex AI concepts into clear, honest language without overselling.
- Prepare and deliver executive-level updates on product progress, risks, and impact, keeping communication simple and outcome-oriented.
Requirements
- 3+ years of experience in product management, technical program management, or a closely related role, with direct exposure to AI or ML products.
- Working knowledge of modern AI systems-what LLMs and agents can and cannot do-and the ability to update that mental model as the technology evolves.
- Proven ability to navigate technical conversations credibly without being an engineer: ask the right questions, assess feasibility, and know when to escalate.
- Experience managing multiple concurrent client engagements or projects without letting quality slip.
- Hands-on experience with ChatGPT Enterprise, OpenAI API, Anthropic, or similar LLM platforms.
- Familiarity with enterprise data infrastructure, compliance considerations, or AI governance frameworks.
- Strong written and verbal communication skills-clear, direct, and free of jargon when working with both executive stakeholders and technical teams.
- Familiarity with prompt engineering, agent design patterns, or orchestration frameworks (e.g., LangChain, LlamaIndex).
- Prior consulting, professional services, or client-facing delivery experience.
Skills
- Track and report on product performance post-launch, including adoption, business outcomes, and continuous improvement opportunities.
Compensation
- Competitive compensation (base salary + performance incentives tied to client outcomes).
Benefits
- Equity options in a growing AI services company.
Company info
- We are a technology services company dedicated to helping organizations build and deploy cutting-edge AI solutions.
- From generative AI and custom LLM integrations to predictive analytics and intelligent automation, we work across industries to bring real-world AI applications to life.
- Our projects combine deep technical expertise with hands-on client collaboration to solve high-impact problems.
This listing is sourced directly from Eliza's careers page and normalized into a canonical job model.