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.
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.
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.
- Own how Gensyn's technology reaches users: product surface, packaging, and the path from first conversation to deployed integration.
- Partner with engineering and research teams to shape complex systems into usable products.
- Run technical discovery and pre-sales conversations with prospective partners and integrators, and turn them into scoped, committed use cases.
- Build reference integrations, demos, and technical collateral that let partners self-serve.
- Own the feedback loop from design partners back into the roadmap.
- Provide BD and marketing the technical substance behind the pitch.
- 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.
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.
- Fluency with AI coding and prototyping tools (e.g. Claude Code, Cursor, Codex). This is how the team works day to day.
- 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
- Background in crypto finance or on-chain infrastructure (DeFi protocols, exchanges, market infrastructure, wallets, or similar), with real understanding of how those systems work under the hood.
- Experience in a technical pre-sales, solutions engineering, or partner-facing product role.
- 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.
Nice to have
- Hands-on programming experience (Python, Go, Rust, or similar).
- Open-source contribution or community experience.
- Competitive salary + share of equity and token pool
- Fully remote work - we currently hire between the West Coast (PT) and Central Europe (CET) time zones
- Visa sponsorship - available for those who would like to relocate to the US after being hired
- 3-4x all expenses paid company retreats around the world, per year
- Whatever equipment you need
- Paid sick leave and flexible vacation
- Company-sponsored health, vision, and dental insurance - including spouse/dependents [🇺🇸 only]
Autonomy & Independence
- Don’t ask for permission - we have a constraint culture, not a permission culture.
- Claim ownership of any work stream and set its goals/deadlines, rather than waiting to be assigned work or relying on job specs.
- Push & pull context on your work rather than waiting for information from others and assuming people know what you’re doing.
- Communicate to be understood rather than pushing out information and expecting others to work to understand it.
- Stay a small team - misalignment and politics scale super-linearly with team size. Small protocol teams rival much larger traditional teams.
Rejection of mediocrity & high performance
- Give direct feedback to everyone immediately - rather than avoiding unpopularity, expecting things to improve naturally, or trading short-term pain for extreme long-term pain.
- Embrace an extreme learning rate - rather than assuming limits to your ability / knowledge.
- Don’t quit - push to the final outcome, despite any barriers.
- Be anti-fragile - balance short-term risk for long-term outcomes.
- Reject waste - guard the company’s time, rather than wasting it in meetings without clear purpose/focus, or bikeshedding.
Skills Required
- Proven ability to autonomously drive product delivery across technical teams, especially in developer-tooling or infrastructure contexts.
- Strong project management skills: scoping, scheduling, milestone tracking, and risk mitigation.
- Excellent technical communication skills - strong ability to translate between engineering detail and product outcomes.
- Background in distributed systems, ML platforms, SDK/API design, or crypto protocols.
- Deep empathy for developer workflows and integration pain points.
- Experience building or managing SDKs, APIs, or developer platforms.
- Experience with research-heavy or technically unproven product areas.
- Experience driving product delivery at a top-tier ML, cloud infrastructure, or Web3 company.
- Hands-on programming experience (Python, Go, Rust, or similar).
- Open-source contribution or community experience.
- Hands-on experience with AI coding and prototyping tools (e.g., Cursor, Codex, Claude Code, GitHub Copilot)
What We Do
Gensyn is a decentralized protocol that unifies the world's computing power into a single, open network for machine learning, operating as a network for machine intelligence.
