Technical Product Manager

The Role

We’re looking for a Technical Product Manager to own Gensyn’s core infrastructure systems -  foundational primitives such as REE (verifiable execution of AI/ML workloads) and AXL (p2p networking for AI agents) along with the execution, coordination, and training layers that power our decentralized AI protocol.

This is a 0–1 role. You will shape low-level infrastructure, define developer-facing surfaces, and help identify how our tech reaches real product-market fit.

Responsibilities

• Own product direction and delivery for core infrastructure systems.
• Partner with engineering and research to shape complex systems into usable products.
• Translate distributed systems and ML workflows into clear developer-facing abstractions.
• Define APIs, SDKs, and workflows that enable others to build on the protocol.
• Engage directly with technical users (ML Engineers & Researchers) to identify friction and improve usability.
• Identify and validate early product-market fit through use cases and design partners.
• Connect technical capabilities to real-world and commercial outcomes.
• Define and track metrics for adoption, reliability, and developer satisfaction.
  
  

Competencies

Must have

• Experience in early-stage or high-growth startups with high ownership and ambiguity.
• Proven ability to drive product delivery across technical teams, especially in infrastructure, platform, or developer-facing systems.
• Strong technical communication skills and the ability to translate complex systems into clear product direction and user value.
• Background in domains such as distributed systems, compute platforms, compilers, or APIs/SDKs.
• Experience building for technical users (engineers, developers, researchers), with strong empathy for developer workflows and integration pain points.
• Ability to connect technical systems to real-world use cases and commercial outcomes.

Preferred

• Experience with AI coding/prototyping tools (e.g., Cursor, Codex, Claude Code, GitHub Copilot).
• Experience owning core infrastructure or developer platforms end-to-end.
• Experience working in research-heavy or AI/ML-driven environments.
• Experience taking technically novel systems toward product-market fit.
• Exposure to decentralized or protocol-based systems.

Nice to have

• Hands-on programming experience (Python, Go, Rust, or similar).
• Open-source contribution or community experience.