Engineering Manager, Agent Foundations

Confirmed live in the last 24 hours

San Francisco, CA, US; Remote, US

Hybrid

Posted March 30, 2026

Job Description

About Pinterest:

Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we’re on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product.

Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other’s unique experiences and embrace the flexibility to do your best work. Creating a career you love? It’s Possible.

At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we’re looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we’ll explore your foundational skills and how you collaborate with AI.

Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here.

We are looking for a technically deep Engineering Manager to help define the future of the agent platform at Pinterest. Working closely with cross-functional engineering teams, product, and researchers, you'll lead a small and nimble team playing a pivotal role in architecting and scaling the systems that bring intelligent agent experiences to life. You will guide your team in designing and building the foundational platforms, from agent serving and evaluation to tracing and monitoring, that enable Pinterest's next generation of agent capabilities. You will grow and empower engineers while shaping how we build with and for agents at scale across the company.

What you'll do:

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.

What we're looking for:

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.

In-Office Requirement Statement:

pythonawskubernetesdockeraibackenddataproductdesign