Manager II, Engineering - Connections

Pinterest

San Francisco (CA)

On-site

USD 208,454 - 364,795

Full time

14 days+

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Job summary

Pinterest is seeking an Engineering Manager for the Connections team in San Francisco. This role involves leading a cross-functional team and partnering closely with product and design leaders. Candidates should have 8+ years of software engineering experience and strong people leadership skills.

The position requires expertise in using data and AI to drive decisions. The salary range is $208,454 — $364,795 USD, and the role may require in-office collaboration occasionally.

Qualifications

  • 8+ years of software engineering experience, including 3+ years managing teams.
  • Expertise in using AI to improve work quality.
  • Strong communication and collaboration skills.

Responsibilities

  • Lead and grow a cross-functional engineering team.
  • Set clear goals and drive execution.
  • Coach and develop engineers across levels.

Skills

Software engineering experience
Team leadership
Product sense
Data-driven mindset
AI expertise

Education

Bachelor's or Master's degree in Computer Science or related field

Job description

Role Overview

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.

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.
Qualifications
  • 8+ years of software engineering experience, including 3+ years managing teams of 5+ engineers.
  • 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.
Relocation Statement
  • This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.
In-Office Requirement Statement
  • We recognize that the ideal environment for work is situational and may differ across departments. What this looks like day-to-day can vary based on the needs of each organization or role.
  • This role will need to be in the office for in-person collaboration 1-2 times every 6-months. Prefer to have candidates in the SF bay area or PST timezone.

#LI-REMOTE

#LI-AG8

Base Salary Range

$208,454 — $364,795 USD

US based applicants only.

Our Commitment to Inclusion

Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition or genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please completethis form for support.

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