Define the direction of Pinterest's agent platform and build critical components such as agent serving, evaluation, and monitoring.
Partner with and advise internal product and engineering teams on agent tech stack needs to shape the future vision for the agent platform.
Lead the team's technical direction and roadmap for key agent infrastructure and platform investments.
Hire, mentor, and grow engineers across all levels, fostering a culture of technical excellence, ownership, and continuous learning.
Use AI to accelerate team execution, system design, and decision-making, applying sound judgment to validate outputs and ensure correctness and quality.

1+ years of experience leading and growing engineering teams, with a strong hands-on background in Python.
7+ years of industry experience designing, building, and operating scalable, highly available backend systems, including owning production-grade infrastructure at scale.
Proficiency in designing and delivering agent platform services end-to-end, with hands-on experience across agent evaluation frameworks, prompt iteration workflows, and harness engineering.
Experience with cloud infrastructure on AWS and containerized services using Docker and Kubernetes.
Demonstrated technical leadership and people management experience, including setting team vision and long-term roadmap, mentoring and growing engineers across all levels, driving day-to-day execution and engineering alignment, and partnering cross-functionally to deliver complex, high-impact platform investments.
Demonstrated ability to use AI to accelerate team execution, system design, and decision-making, paired with sound judgment in validating outputs, maintaining quality, and taking ownership of final outcomes.
Strong track record of critical evaluation and verification of AI-assisted work (e.g., testing, source-checking, data validation, peer review).
High integrity and ownership: you protect sensitive data, avoid over-reliance on AI, and remain accountable for final decisions and deliverables.
Bachelor's degree in a relevant field such as Computer Science or Engineering, or equivalent experience.

Engineering Manager, Agent Foundations

Key skills