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Technical Product Manager
Gensyn · Remote
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Remote
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Technical Product Manager
Remote
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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 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.
Responsibilities
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.
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.
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.
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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Gensyn · Remote
Pay
Not listed
Setting
Remote
Back to jobs
Open Application
Remote
Apply
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
You tell us!
Responsibilities
Further our mission to build the infrastructure to train ultra-high scale, open source, foundation models
Competencies
Must Have
Autonomy - able to drive things forward in a high entropy environment
Deep appreciation of small-scale, high-powered teams
Preferred
Web3 experience - previously worked on a low-level web3 protocol
Machine learning experience - previously worked closely with ML technologies as a developer or power user
Nice to Have
Cryptography engineering (with a focus on GPUs)
Understanding and navigating AI & Crypto regulations
Cryptoeconomics and game theoretic design
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.
Create a Job Alert
Interested in building your career at Gensyn? Get future opportunities sent straight to your email.
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Listed by Gensyn for a position based in the United States. Employers on this board attest they are hiring domestically.
Research Intern
Gensyn · Remote
Pay
Not listed
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Remote
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Research Intern
Remote
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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
Contribute to cutting-edge research in scalable, distributed machine learning systems alongside experienced researchers and engineers. Explore new ways of building and verifying neural networks that operate across huge, decentralised, topologies of heterogenous devices.
Responsibilities
Contribute to original research in deep learning with a focus on modular architectures, verifiability, continual learning, and scale
Design and prototype novel neural network architectures for decentralized compute environments
Contribute to joint publications and projects in collaboration with academic and industry researchers targeting top-tier AI venues such as NeurIPS, ICML, and ICLR
Competencies
Must Have
Currently enrolled in a PhD program (or, in exceptional cases, in a Master’s program) in Computer Science, Machine Learning, or a related field
Prior experience conducting original research, ideally with authorship or co-authorship on ML papers
Strong understanding of deep learning fundamentals and experience working with in at least one major framework, e.g. PyTorch, JAX, or TensorFlow
Self-directed, curious, and able to thrive in an environment with high autonomy
Excellent written and verbal communication skills
Preferred
Research experience in distributed systems, continual learning, or modular neural architectures
A desire to contribute to open research and collaborate with the broader ML research community
Nice to Have
Experience at the intersection of cryptography and machine learning
Please note: the benefits listed below apply to full-time employees only
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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