Zigsaw

Engineering Manager, Agent Foundations

Zigsaw

full-time

Posted on:

Location Type: Hybrid

Location: San FranciscoCaliforniaUnited States

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Salary

💰 $177,185 - $364,795 per year

Job Level

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