Director, Product Manager- AI Agent Products
$221,200–$387,100 year
RemoteUnited States
Job Summary
Lead product vision and execution for a transformational frontier AI agent currently in MVP state, owning the product surface area for long-running, self-evolving autonomous agents designed for enterprise knowledge workers. Prototype, experiment, and ship using modern agentic development tools while engaging directly with codebases to review implementations and validate feasibility alongside engineering. Architect the roadmap for agentic platform capabilities including orchestration, memory management, and secure governance, translating emerging patterns into scalable primitives that drive adoption across the AI portfolio. Define clear usage models and measurable outcomes such as task completion rates and latency, balancing near-term customer deliverables with long-term platform differentiation. Operate as an AI-native builder in a startup-like environment, partnering with go-to-market teams and the open-source ecosystem to bring state-of-the-art capabilities into enterprise production.
Required Qualifications
- 8-10+ years of product management experience
- recent hands-on experience shipping agentic products in the last 12–18 months
- Proven product management experience (minimum 8 years)
- hands-on involvement in shipping complex products in ambiguous, fast-moving environments
- Track record of shipping 0→1 and scaling 1→N products
- Ability to operate across multiple teams: engineering, design, GTM, partners and create alignment without authority
- Thrives in ambiguity, creates structure where none exists, and pulls products forward through clarity and credibility, not process
- You think in platforms, not features
- You see how pieces connect and can architect primitives that multiply value across multiple products and use cases
- You influence by showing, not telling
- You paint a compelling picture of what's possible, one that VPs and executive teams want to be part of
- Strong understanding of modern AI systems and agent architectures: planning, memory, tool use, orchestration, multi-step reasoning
- Deep familiarity with the frontier of agentic AI: open-source frameworks, agent loop patterns, LLM orchestration, and the fast-moving research being published today
- Ability to translate fast-moving research into practical, productizable capabilities without waiting for consensus
- You follow the agentic AI community, contribute to or build on open-source projects, and stay connected to emerging patterns
- Background as a developer is a strong plus; exceptional PMs with adjacent technical depth are a match
- Comfortable working in codebases, standing up prototypes, and challenging engineering decisions with technical credibility
Desired Qualifications
- Experience working on or shipping multi-agent systems, agentic orchestration platforms, or agent deployment frameworks
- Hands-on involvement with LLM fine-tuning, prompt engineering at scale, or domain-specific model development
- Track record of working with open-source communities, contributing to or building on frameworks
- Prior experience in enterprise workflow automation, RPA, or low-code/no-code platforms
- Understanding the operational constraints enterprises face
- Familiarity with governance, compliance, and auditability requirements for enterprise AI systems
- Experience working with frontier AI providers or integrating cutting-edge models into production systems
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