Gensyn
Engineering Manager
Job Summary
The role involves hiring, leading, and managing high-performance engineering teams focused on machine intelligence and distributed systems within a start-up environment. Candidates should have proven leadership experience, technical expertise in machine learning, distributed systems, or compilers, and strong communication skills. The position emphasizes a culture of autonomy, high performance, and continuous learning, with benefits including remote work, health coverage, equity, and company retreats. The company is building open, permissionless protocols to advance machine intelligence alongside human effort.
Required Skills
Benefits
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
- Hire, coordinate and drive 1-2 high-performance engineering teams
Responsibilities
- Drive a culture of high performance - mentor, incentivize, and manage engineers to deliver highly complex and uncertain deliverables against tight deadlines
- Lead and unblock members of your team whilst working closely with the CTO and Technical Leads to scope and report on engineering deliverables and timelines
- Hire and retain world class talent
Competencies
Must have
- A track record of leading teams in scale/start-ups that went from ‘0 to 1’ and released their first products (as opposed to only maintaining existing products)
- Exceptional leadership, communication, and drive - particularly when under pressure
- Experience attracting and closing world-class engineers
- Hands on engineering experience in (at least) 1 of the following 3 domains:
- Machine Learning
- Compilers
- Distributed Systems
Preferred
- Experience working cross-functionally with research teams
Nice to have
- Rust programming knowledge
- Meaningful exposure to cryptocurrencies
- Founding experience
- Open source contributions
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.
- Build and design thinly.
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