Manager Ii, Engineering

Pinterest Pinterest · Consumer · San Francisco, CA · Core Engineering

Manager II, Engineering role at Pinterest focused on leading a team working on user-facing product areas and supporting systems. The role emphasizes people leadership, strategic planning, technical judgment, and data-driven decision-making, with a requirement to leverage AI tools to enhance work quality and speed while critically evaluating AI-assisted outputs.

What you'd actually do

  1. Lead and grow a cross-functional engineering team working across user-facing product areas and the systems that support them.
  2. Set clear goals and drive execution against a roadmap aligned with broader product and business priorities.
  3. Partner with Product, Design, Research, and Data Science to shape strategy, prioritize opportunities, and deliver measurable outcomes.
  4. Create a strong team environment with clear expectations, healthy operating rhythms, high standards, and psychological safety.
  5. Coach and develop engineers across levels, helping them grow in scope, impact, and career progression.

Skills

Required

  • 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.
  • 8+ years of software engineering experience, including 3+ years managing teams of 5+ engineers.

Nice to have

  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience.

What the JD emphasized

  • AI-native approach to working
  • Demonstrated ability to use AI to improve speed and quality in day-to-day work
  • Strong track record of critically evaluating and verifying AI-assisted work