
Engineering Manager, Agent Foundations
Zigsaw
full-time
Posted on:
Location Type: Hybrid
Location: San Francisco • California • United States
Visit company websiteExplore more
Salary
💰 $177,185 - $364,795 per year
Tech Stack
About the role
- 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.
Benefits
- equity
- flexibility to do your best work
- in-person collaboration 1-2 times/quarter
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
Pythonbackend systemsagent platform servicesagent evaluation frameworksprompt iteration workflowsharness engineeringcloud infrastructureAWSDockerKubernetes
Soft Skills
technical leadershippeople managementmentoringteam visionengineering alignmentcross-functional collaborationcritical evaluationsound judgmentownershipintegrity
Certifications
Bachelor's degree in Computer ScienceBachelor's degree in Engineering