Associate AI Product Manager

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Eliza

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2025

🤖 Artificial Intelligence

💼 Consulting

🏢 Enterprise

Artificial Intelligence • Consulting • Enterprise

Eliza is an AI-native consulting firm that helps enterprises turn frontier generative AI (notably ChatGPT/OpenAI) into measurable production impact. They embed AI architects and enablement leaders into client teams to build AI fluency (Fusion), redesign and automate repeatable processes into AI-assisted workflows (Flow), and design and ship production-grade AI systems, agents, copilots, and integrations (Forge). Eliza focuses on enterprise deployments, capability transfer to client teams, and delivering measurable ROI (100+ deployments and client case results noted on their site).

📋 Description

• 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. • 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).

🏖️ Benefits

• Competitive compensation (base salary + performance incentives tied to client outcomes) • Equity options in a growing AI services company • Exposure to a wide range of industries and high-impact AI problems • Travel opportunities for on-site client engagements (if desired) • A collaborative, mission-driven team passionate about the real-world impact of AI.