AI Product Manager

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Eliza

Site WebLinkedInTous les Emplois

11 - 50 employés

Fondée en 2025

🤖 Intelligence artificielle

💼 Conseil

🏢 Entreprise

Artificial Intelligence • Consulting • Enterprise

Eliza est une société de conseil native en intelligence artificielle qui aide les entreprises à transformer l'IA générative de pointe (notamment ChatGPT/OpenAI) en un impact mesurable en production. Elle intègre des architectes d'IA et des leaders de l'autonomisation dans les équipes client pour développer la fluidité en IA (Fusion), redessiner et automatiser les processus répétitifs en workflows assistés par IA (Flow), et concevoir et déployer des systèmes d'IA, agents, copilotes et intégrations de qualité de production (Forge). Eliza se concentre sur les déploiements en entreprise, le transfert de compétences aux équipes clientes, et la livraison d'un ROI mesurable (plus de 100 déploiements et résultats de cas clients sont notés sur leur 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.

🎯 Exigences

• 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.

🏖️ Avantages

• 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.