Technical Product Manager at Gensyn

<div class="content-intro"><p>Machine intelligence will soon take over humanity’s role in knowledge-keeping and creation. What started in the mid-1990s as the gradual off-loading of knowledge and decision making to search engines will be rapidly replaced by vast neural networks - with all knowledge compressed into their artificial neurons. Unlike organic life, machine intelligence, built within silicon, needs protocols to coordinate and grow. And, like nature, these protocols should be open, permissionless, and neutral. Starting with compute hardware, the Gensyn protocol networks together the core resources required for machine intelligence to flourish alongside human intelligence.</p></div><h2><strong>The Role</strong></h2> <p>We’re looking for a Technical Product Manager to sit between Gensyn's core technology and the people who build on it. You'll own how our capabilities (verifiable execution, p2p agent networking, on-chain information markets) reach real users: shaping the product surface, working directly with design partners, and doing the technical pre-sales work that turns novel infrastructure into deployed use cases.<br><br>This is a 0–1 role. You will be in the room with partners and users, then back in the product defining what has to change.</p> <h2><strong>Responsibilities</strong></h2> <ul> <li>Own how Gensyn's technology reaches users: product surface, packaging, and the path from first conversation to deployed integration.</li> <li>Partner with engineering and research teams to shape complex systems into usable products.</li> <li>Run technical discovery and pre-sales conversations with prospective partners and integrators, and turn them into scoped, committed use cases.</li> <li>Build reference integrations, demos, and technical collateral that let partners self-serve.</li> <li>Own the feedback loop from design partners back into the roadmap.</li> <li>Provide BD and marketing the technical substance behind the pitch.</li> <li>Engage directly with technical users (ML Engineers & Researchers) to identify friction and improve usability.</li> <li>Identify and validate early product-market fit through use cases and design partners.</li> <li>Connect technical capabilities to real-world and commercial outcomes.</li> <li>Define and track metrics for adoption, reliability, and developer satisfaction.</li> </ul> <h2><strong>Competencies</strong></h2> <p><strong>Must have</strong></p> <ul> <li>Experience in early-stage or high-growth startups with high ownership and ambiguity.</li> <li>Proven ability to drive product delivery across technical teams, especially in infrastructure, platform, or developer-facing