Eliza
Associate AI Product Manager
United States
Sponsorship not specifiedDetected 14 days ago
LLMsLogisticsCustomer SuccessCommunicationCollaborationMentoringOrganizational Skills
About the role
- The Associate AI Product Manager is the execution engine of the AI PM function.
- This is a hands-on role for someone with strong AI fluency who wants to learn the full AI PM craft by delivering inside real engagements from week one.
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
- 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.
- Run down blockers-access, data, calendars, approvals-so FDEs and the AI PM stay focused on the build.
- Build, test, and refine custom skills, prompts, and workflows with client champions; turn what works into repeatable curriculum.
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.
- 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).
Skills
- trainings delivered, skills built, workshops executed, backlogs maintained, and progress made visible.
- Trainings and workshops run on schedule and clients ask for more of them.
- Skills built with client champions get used after the workshop ends-adoption data proves it.
- Backlogs, trackers, and readouts are current without being chased.
- Within 6-12 months, this person is credibly stepping into AI PM scope on smaller engagements.
- Facilitation and presentation skills-comfortable teaching a room of skeptical analysts or walking an executive through a demo.
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.