Role overview
Gauntlet is a leader in quantitative research and DeFi economics optimization, specializing in risk management, growth facilitation, and ensuring the economic robustness of key DeFi protocols. Managing over $13 billion in customer TVL as of January 2024, our efforts are vital to the industry's leading protocols.
We are known for our significant research contributions, paralleling the impact of top academic institutions in DeFi. As a Series B company with a 60-member team, we operate on a remote-first basis from New York City.
Our mission is to drive adoption and understanding in the financial systems of the future. The unique challenges of decentralized systems call for innovative approaches in mechanism design, smart contract development, and financial product utilization. Gauntlet leads in advancing this knowledge, ensuring safe progression through the evolving landscape of financial innovation.
What we're looking for
Our Ideal Candidate
- Has leadership experience in data science or software engineering, preferably with knowledge in optimization theory, mechanism design, or computational economics.
- Possesses a solid mathematical and theoretical background, applicable in practical settings.
- Can simplify complex concepts into understandable ideas.
- Is effective at communicating clear goals and strategies, rallying the team, partners, and customers around shared objectives.
- Is dedicated to mentoring and supporting team development.
- Prioritizes impact and quality, aiming to make significant contributions to the DeFi landscape.
Please note at this time our hiring is reserved for potential employees who are able to work within the contiguous United States and Canada. Should you need alternative accommodations, please note that in your application.
The national pay range for this role is $200,000 plus additional On Target Earnings potential by level and equity in the company. Our salary ranges are based on paying competitively for a company of our size and industry, and are one part of many compensation, benefits and other reward opportunities we provide. Individual pay rate decisions are based on a number of factors, including qualifications for the role, experience level, skill set, and balancing internal equity relative to peers at the company.
#LI-Remote
Tags & focus areas
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