Engineering Manager, AI Engineering
New Yesterday
About the Role Gusto is seeking an Engineering Manager to lead our Agent Foundations team, a critical function that bridges cutting-edge AI research and transformative product experiences. As the Engineering Manager for Agent Foundations, you'll create an environment where engineers and designers can rapidly experiment with emerging AI capabilities, validate breakthrough ideas, and accelerate the path from research innovation to user impact.
You'll lead a team that operates at the frontier of what's possible with AI, prototyping and productionizing features that push model capabilities to their limits. Success in this role requires a 0-to-1 mindset, the ability to coach engineers and scientists through the idea maze as they explore the properties and potential of large language models, and the ability to balance rapid experimentation with strategic thinking about AI's transformative potential.
What You’ll Do Day-to-day Lead and grow a team of versatile scientists and engineers who thrive in 0-to-1 environments and can rapidly prototype across the full stack
Identify emerging capabilities with transformative potential and translate them into compelling features
Create a culture that embraces experimental failure as a path to breakthrough success, while maintaining momentum through rapid iteration cycles
Develop frameworks for evaluating success beyond traditional metrics, focusing on capability breakthroughs and research learnings
Build strong partnerships across Gusto to ensure that breakthroughs solve Gusto’s business problems
Champion lightweight, prototype-first development practices that maximize learning velocity
Guide the team in building "living evals" that provide rapid feedback loops between product experiences and agent development
Represent the voice of ambitious, transformative product possibilities in planning discussions
Foster an environment where engineers feel empowered to pursue bold ideas and pivot quickly based on learnings — without falling in love with ideas that are no longer yielding learning
What We’re Looking For Have 2+ years of engineering management experience, with significant time leading teams in highly ambiguous, research-oriented environments
Excel at managing high-variance outcomes and helping teams navigate the emotional rollercoaster of experimental work
Have deep technical expertise across full-stack development, ML/AI systems, and emerging technologies
Demonstrate exceptional ability to identify high-potential ideas from a sea of possibilities
Can context-switch rapidly between multiple experimental projects while maintaining strategic clarity
Have experience translating research breakthroughs into user-facing products or demos
Are passionate about pushing the boundaries of what\'s possible with AI
Have strong communication skills to articulate the value of failed experiments and successful breakthroughs alike
Care deeply about the societal impacts of advanced AI systems
Strong Candidates May Also Have Experience With Building and leading teams focused on emerging technologies or R&D
Creating developer tools, AI agents, or other productivity-enhancing systems
Working directly with machine learning researchers on productization efforts
Managing portfolios of high-risk, high-reward technical projects
Building prototyping infrastructure and frameworks that accelerate experimentation
Leading through extreme pivots and helping teams maintain morale through failure
Creating compelling demos that communicate complex technical capabilities
Working with LLMs, agent systems, or other frontier AI technologies
Compensation, Location and Work Expectations Our cash compensation amount for this role is targeted at $163,000-$204,000 in Denver, $178,000-$223,000 for Los Angeles and most remote locations, $197,000-$247,000 for San Francisco, New York, and Seattle. Final offer amounts are determined by multiple factors including candidate experience, level, and expertise and may vary from the amounts listed above.
Gusto has physical office spaces in Denver, San Francisco, and New York City. Employees who are based in those locations will be expected to work from the office on designated days approximately 2-3 days per week (or more depending on role).
Note: The San Francisco office expectations encompass both the San Francisco and San Jose metro areas. When approved to work from a location other than a Gusto office, a secure, reliable, and consistent internet connection is required.
Equal Opportunity and Privacy Gusto is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Gusto considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Gusto is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you require a medical or religious accommodation at any time throughout your candidate journey, please fill out this form and a member of our team will get in touch with you.
Gusto takes security and protection of your personal information very seriously. Please review our Fraudulent Activity Disclaimer. Personal information collected and processed as part of your Gusto application will be subject to Gusto\'s Applicant Privacy Notice.
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- Location:
- San Francisco, CA, United States
- Salary:
- $250,000 +
- Job Type:
- FullTime
- Category:
- Engineering