Manager II, Engineering

Zigsaw

Engineering Manager at Pinterest leading teams on consumer-facing products. Shaping strategy and coaching engineers while leveraging AI for decision-making and product development.

Posted 5/26/2026full-timeSan Francisco • California • 🇺🇸 United StatesSeniorLead💰 $208,454 - $364,795 per yearWebsite

About the role

Key responsibilities & impact

Lead and grow a cross-functional engineering team working across user-facing product areas and the systems that support them.
Set clear goals and drive execution against a roadmap aligned with broader product and business priorities.
Partner with Product, Design, Research, and Data Science to shape strategy, prioritize opportunities, and deliver measurable outcomes.
Create a strong team environment with clear expectations, healthy operating rhythms, high standards, and psychological safety.
Coach and develop engineers across levels, helping them grow in scope, impact, and career progression.
Support technical and architectural decision-making to ensure the team builds reliable, scalable, and maintainable systems.
Use data, experimentation, and user insight to guide product and engineering decisions.
Use AI to accelerate analysis, research, drafting, synthesis, and iteration, while applying strong judgment and verification to ensure quality and correctness.

Requirements

What you’ll need

Experience leading engineering teams that build and ship consumer-facing products.
Experience managing engineers across multiple levels and helping teams improve in effectiveness, quality, and impact.
Strong people leadership skills, including coaching, feedback, performance management, and team development.
Strong product sense and strategic thinking, with the ability to translate broad goals into clear priorities and execution plans.
Solid technical foundation and the ability to engage in architecture, design reviews, and technical trade-offs.
Proven ability to lead through ambiguity, align cross-functional stakeholders, and deliver meaningful results.
Expertise in using data and experimentation to inform product and engineering decisions.
Demonstrated ability to use AI to improve speed and quality in day-to-day work for relevant outputs.
Strong track record of critically evaluating and verifying AI-assisted work through testing, review, or other quality controls.
High integrity and ownership in using AI: you protect sensitive information, avoid over-reliance on AI, and remain accountable for final decisions and deliverables.
Strong communication and collaboration skills, with experience working closely with Product, Design, Research, Data Science, and other engineering teams.
Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
8+ years of software engineering experience, including 3+ years managing teams of 5+ engineers.

Benefits

Comp & perks

Equity
Health insurance
401(k) matching
Flexible work hours
Paid time off

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

software engineeringarchitecturedesign reviewstechnical trade-offsdata analysisexperimentationAIuser insightscalable systemsreliable systems

Soft Skills

people leadershipcoachingfeedbackperformance managementteam developmentstrategic thinkingcommunicationcollaborationcritical evaluationownership

Certifications

Bachelor’s degree in Computer ScienceMaster’s degree in Computer ScienceBachelor’s degree in EngineeringMaster’s degree in Engineering