Head of Applied AI
- Salary
- $350K–$500K
- Moves you to
- United States
- Support
- Visa sponsorship
- Posted
74,951 relocation jobs, straight from company career pages
100% free · New jobs every minute
Show job descriptionHide job description
*Hiring on behalf of our client
Title: Head of Applied AI
Time: Full-time.
Location: San Francisco, CA (In-person)
Compensation: $350,000 - $500,000 / year + competitive equity
The Company
Our client is an applied research lab building a self-improving, model-agnostic agent harness that automates enterprise knowledge work. Backed by $24M in funding from top-tier venture firms and prominent angel investors, they are rapidly scaling and on track to reach $55M ARR with over 50 enterprise customers. The founding and engineering team brings elite pedigree from top institutions and proven track records in high-growth technology environments.
Role Overview
Our client is seeking an exceptional Head of Applied AI to drive the technical and research direction of their agent platform. In this high-impact role, you will set architectural standards, lead and scale the engineering team, and actively write production code alongside engineers. You will solve the foundational challenges of production-grade AI agents, translate state-of-the-art research into customer-ready capabilities, and act as the technical face of engineering in critical customer discussions.
Key Responsibilities:
- Set a cohesive technical direction, ensuring the product architecture is durable, understandable, and scalable.
- Decide what belongs in the core shared product platform versus customer-specific implementations.
- Lead and scale the engineering team through hands-on hiring, mentoring, and maintaining a high standard for technical judgment.
- Build directly alongside the team by writing production code and solving complex technical issues firsthand.
- Act as the primary technical voice for enterprise customers, joining key discussions and translating customer needs into architectural solutions.
- Navigate trade-offs across reliability, product quality, development velocity, and customer requirements.
- Define the product and research roadmap, determining which technical bets drive meaningful customer value and turning research breakthroughs into shipped product features.
Qualifications
- 3 to 5 years of relevant engineering and technical leadership experience.
- Proven track record building and shipping AI agents within a high-growth startup or scale-up environment.
- Deep, hands-on experience solving production agent challenges, including reliability, evaluation frameworks, tool use, context handling, and error recovery.
- Demonstrated success shaping and evolving software architecture as a company and platform scale.
- Active involvement in writing and shipping production-level code.
- Strong leadership and communication skills, with the ability to build trust directly with enterprise customers during high-stakes technical conversations.
- Legal authorization to work in the United States (visa sponsorship available for H-1B, O-1, and OPT).
