AI Product Manager

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Eliza

WebsiteLinkedInAlle Stellen

11 - 50 Mitarbeiter

Gegründet 2025

🤖 Künstliche Intelligenz

💼 Beratung

🏢 Unternehmen

Artificial Intelligence • Consulting • Enterprise

Eliza ist eine KI-native Beratungsfirma, die Unternehmen dabei hilft, bahnbrechende generative KI (insbesondere ChatGPT/OpenAI) in messbare Produktionsergebnisse zu verwandeln. Sie integrieren KI-Architekten und Enablement-Leiter in die Kundenteams, um KI-Kompetenz (Fusion) aufzubauen, wiederkehrende Prozesse in KI-unterstützte Workflows umzugestalten und zu automatisieren (Flow) und produktionsfähige KI-Systeme, Agenten, Kopiloten und Integrationen zu entwerfen und bereitzustellen (Forge). Eliza konzentriert sich auf Unternehmenseinsätze, die Übertragung von Fähigkeiten an Kundenteams und die Lieferung messbaren ROI (über 100 Einsätze und Kundenergebnisse auf ihrer Website aufgeführt).

Beschreibung

• 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.

🎯 Anforderungen

• 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.

🏖️ Vorteile

• 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.