Manager II, Engineering

Pinterest•San Francisco, CA

4h•$208,454 - $364,795•Hybrid

About The Position

As an Engineering Manager on the Connections team, you will lead engineers working on product areas that help people engage more meaningfully with others across our platform. You’ll partner closely with cross-functional leaders to shape strategy, drive execution, and build a healthy, high-performing team. This role is ideal for a people-first leader with strong product sense, deep technical judgment, data-driven mindset and an AI-native approach to working. 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.

Requirements

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.

Nice To Haves

Prefer to have candidates in the SF bay area or PST timezone.

Responsibilities

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.