AI Product Manager

🔥 39 minutes ago

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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

• Serve as the technical counterpart to sales throughout the sales process, helping scope what is feasible, what the path to production looks like, and what a realistic engagement structure should be. • Handle the strategic and feasibility layer of technical conversations with prospects and clients: use case fit, sequencing, data requirements, timeline realism, and risk. • Ensure that what gets scoped and sold is what can actually be delivered, preventing commitments that do not survive contact with reality. • Run structured discovery with client stakeholders within active engagements to surface AI use cases, working across business units to understand pain points, workflows, and data landscape. • Build and maintain a scored use case backlog for each engagement, evaluating opportunities against feasibility, data readiness, and measurable business impact. • Write clear product specs that translate business problems into technical requirements engineering can build against, covering inputs, outputs, constraints, and success metrics. • 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.

🎯 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. • Strong written and verbal communication skills—clear, direct, and free of jargon when working with both executive stakeholders and technical teams. • Experience managing multiple concurrent client engagements or projects without letting quality slip.

🏖️ 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.