Technical Product Manager for Machine Intelligence SDKs and APIs

gensyn United State
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AI Summary

Drive roadmap and delivery for Gensyn's SDKs, APIs, and developer infrastructure. Collaborate with engineering to shape technical design, developer UX, and documentation. Define metrics for adoption, reliability, and developer satisfaction.

Key Highlights
Drive product delivery across technical teams
Shape technical design and developer UX
Define metrics for adoption and reliability
Key Responsibilities
Drive roadmap and delivery for Gensyn's SDKs, APIs, and developer infrastructure
Collaborate with engineering to shape technical design, developer UX, and documentation
Define metrics for adoption, reliability, and developer satisfaction
Technical Skills Required
Distributed systems ML platforms SDK/API design Crypto protocols
Benefits & Perks
Competitive salary
Share of equity and token pool
Fully remote work
Nice to Have
Hands-on programming experience
Open-source contribution or community experience
Experience with AI coding and prototyping tools

Job Description


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.

The Role

We’re looking for a Technical Product Manager to drive our developer-facing SDKs, APIs, and tools that power the Gensyn network and make decentralized training seamless for ML developers.

Responsibilities

  • Drive roadmap and delivery for Gensyn’s SDKs, APIs, and developer infrastructure.
  • Collaborate with engineering to shape technical design, developer UX, and documentation.
  • Translate complex distributed systems and ML workflows into clear, usable developer products.
  • Gather feedback from open-source contributors and partners to iterate rapidly.
  • Define metrics for adoption, reliability, and developer satisfaction.

Competencies

Must have

  • 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.

Preferred

  • 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.

Nice to have

  • 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)

Compensation / Benefits

  • 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]

Our Principles

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.

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