Engineering Manager, Agent Foundations

Pinterest is a platform that inspires creativity and innovation for millions of users worldwide. They are seeking a technically deep Engineering Manager to lead the development of their agent platform, guiding a team in building foundational systems for intelligent agent experiences.

Responsibilities:

• 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

Requirements:

• 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