Associate AI Product Manager

Eliza is a technology services company dedicated to helping organizations build and deploy cutting-edge AI solutions. The Associate AI Product Manager is responsible for the tactical delivery of AI product management functions, engaging in training, client workshops, and backlog maintenance to support AI project delivery.

Responsibilities:

• Deliver one-to-many trainings and hands-on, persona-specific workshops for client teams, from analysts to executives
• Build, test, and refine custom skills, prompts, and workflows with client champions; turn what works into repeatable curriculum
• Conduct persona and use-case interviews with client stakeholders to surface high-value workflows for workshops and skills
• Track adoption signals throughout the engagement: usage depth, use-case realization, and time savings—and flag what the data says
• Maintain the scored use case backlog: keep feasibility, data readiness, and priority current as discovery evolves
• Document requirements from client working sessions into structured inputs the AI PM can shape into specs
• Execute evals: run test sets, log failure modes, and summarize results so quality calls can be made quickly
• Run down blockers—access, data, calendars, approvals—so FDEs and the AI PM stay focused on the build
• Prepare executive readout materials: progress, metrics, risks, and next steps—short, honest, and outcome-oriented
• Keep engagement artifacts current: roadmaps, status trackers, meeting notes, and action items across concurrent workstreams
• Coordinate scheduling and logistics across client stakeholders, FDEs, and Eliza leadership
• Contribute to Eliza's reusable delivery assets: training curricula, skill libraries, workshop templates, and playbooks
• Track new model and product releases relevant to active engagements and surface what matters to the team

Requirements:

• 1–3 years in consulting, customer success, enablement/L&D, or product—client-facing delivery experience required
• Strong AI fluency: daily working use of frontier tools (ChatGPT, Claude, or similar), a working mental model of what current models can and cannot do, and the habit of updating it as the field moves
• Facilitation and presentation skills—comfortable teaching a room of skeptical analysts or walking an executive through a demo
• Highly organized under load: able to run parallel workstreams across multiple accounts without dropping threads
• Strong written communication—clear meeting notes, clean readouts, no jargon, no overselling
• Comfortable in ambiguity; takes ownership of loosely defined work and asks sharp questions early
• Hands-on experience building prompts, custom GPTs/skills, or lightweight automations—not just using AI, but shaping it
• Experience designing training content or adult learning programs
• Exposure to enterprise software delivery: sprints, backlogs, requirements documentation, or QA/eval work
• Familiarity with a functional domain Eliza serves (finance/office of the CFO, private equity operations, healthcare)