Associate AI Product Manager

About the role

You will own the tactical execution of AI engagements end to end, translating strategic direction into delivered trainings, refined skills, and visible progress for clients. You will run workshops, maintain live backlogs, and document requirements so that AI Product Managers can focus on scoping and executive relationships. You will support both production AI system delivery and workforce enablement, switching contexts between client workshops and backlog grooming as needed. You will be the hands-on delivery partner in real engagements from week one, using every interaction to learn the full AI PM craft. You will surface adoption signals and blockers so the team can make fast quality decisions and keep momentum. Over time, you will grow into a credible AI PM for smaller engagements by demonstrating consistent execution and clear communication.

Key facts

What you'll do

• Deliver one-to-many trainings and hands-on, persona-specific workshops for client teams, from analysts to executives, ensuring each session builds clear capability.
• Build, test, and refine custom skills, prompts, and workflows with client champions, turning successful patterns into repeatable curriculum and reusable assets.
• Conduct persona and use-case interviews with client stakeholders to surface high-value workflows and align workshop objectives with real business needs.
• Track adoption signals throughout the engagement, including usage depth, use-case realization, and time savings, and communicate what the data indicates.
• Maintain the scored use case backlog, keeping feasibility, data readiness, and priority current as discovery progresses and client context evolves.
• Document requirements from client working sessions into structured inputs that the AI Product Manager can translate into clear specs and acceptance criteria.
• Execute evals by running test sets, logging failure modes, and summarizing results so that quality and risk trade-offs can be decided quickly.
• Run down blockers related to access, data, calendars, and approvals so that forward-deployed engineers and the AI Product Manager can stay focused on building.
• Prepare executive readout materials that present progress, metrics, risks, and next steps in a concise, honest, and outcome-oriented format.
• Keep engagement artifacts current, including roadmaps, status trackers, meeting notes, and action items across concurrent workstreams and teams.
• Coordinate scheduling and logistics across client stakeholders, forward-deployed engineers, and Eliza leadership to minimize friction and maximize throughput.
• Contribute to Eliza's Center of Excellence by creating training curricula, skill libraries, workshop templates, and playbooks that scale across engagements.
• Monitor new model and product releases, testing relevant changes and surfacing insights that affect active engagements and delivery decisions.
• Support the AI Product Manager in scoping sessions by translating observed behaviors and pain points into structured problem statements.
• Apply structured problem-solving and prioritization to balance client demands, technical constraints, and delivery timelines.

Requirements

• Bring 1-3 years of experience in consulting, customer success, enablement or learning and development, with a requirement of client-facing delivery in at least one of these roles.
• Demonstrate strong AI fluency through daily working use of frontier tools such as ChatGPT or Claude, and maintain a working mental model of what current models can and cannot do.
• Commit to updating your mental model regularly as the field moves, recognizing model changes, limitations, and emerging patterns.
• Show facilitation and presentation confidence, being comfortable teaching skeptical analysts and walking executives through live demos without oversimplifying trade-offs.
• Operate effectively under load, managing parallel workstreams across multiple accounts while maintaining clear thread continuity and avoiding dropped responsibilities.
• Practice clear written communication, producing crisp meeting notes, readable executive readouts, and concise documentation without jargon or overselling.
• Embrace ownership in ambiguous situations, taking initiative on loosely defined work and asking sharp questions early to reduce rework and misalignment.
• Remain comfortable with structured and unstructured delivery environments, using explicit checkpoints, artifacts, and status signals to keep stakeholders aligned.

Nice to have

• Hands-on experience building prompts, custom GPTs, or lightweight automations, showing how shaping model behavior differs from only using AI as a consumer.
• Experience designing training content or adult learning programs that translate complex topics into practical, persona-specific workshops.
• Exposure to enterprise software delivery practices such as sprints, backlogs, requirements documentation, and QA or eval work that connects outcomes to metrics.
• Familiarity with a functional domain Eliza serves, including finance and office of the CFO, private equity operations, or other industries listed in company materials.

Practical notes

This role is full time and based in the United States. No additional details on hours, travel, visa, application pages, compensation, or deadlines were provided in the source.