Engineering Manager - Lending Team, Protocol Optimization

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.

Responsibilities

• Lead a team of data scientists and software engineers to create impactful products.
• Apply robust mathematical and theoretical principles to inform practical, effective product development decisions.
• Maintain the highest quality standards across all data science and engineering initiatives.
• Articulate and execute against clear product vision that aligns team goals and the broader objectives of the company.
• Promote team growth and individual development, fostering an environment of collaboration and continuous improvement.

Qualifications

• 5+ years of technical modeling or analysis experience, ideally developing or interfacing directly with production systems; 1+ years of direct management experience
• Proven ability to mentor and coach junior engineers
• Ability to balance long-term thinking and planning with short-term execution on tactical goals
• High standard for engineering excellence and experience creating processes and an environment where team members can do their best work
• Strong written and verbal communication skills

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.

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