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 a high performing team of Infrastructure, DevOps, and Security Engineers

Responsibilities

• 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 hiring world-class engineers

• Hands on engineering experience in (at least) 1 of the following 3 domains:

Preferred

• Experience scaling distributed systems or high-load infrastructure
• Strong security engineering background (threat modeling, reviews, audits)
• Deep hands-on DevOps expertise (Kubernetes, Terraform, CI/CD)

Nice to Have

• Experience with distributed ML systems or GPU-heavy environments
• Experience working cross-functionally with research teams
• Founding experience
• Open source contributions
• Meaningful exposure to cryptocurrencies

Compensation / Benefits

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.