Synced from Greenhouse · Jul 1

Engineering Manager

PinterestSan Francisco, CA, US; Palo Alto, CA, USPosted Jul 1, 2026
Engineering ManagerSenior
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Mirrored from Pinterest's own Greenhouse careers system · refreshed hourly

152
Other open Pinterest roles
Jul 1
Posted
Greenhouse
Applicant system
Job descriptionReq 7684573

About Pinterest:

Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we’re on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product.

Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other’s unique experiences and embrace the flexibility to do your best work. Creating a career you love? It’s Possible.

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.

We’re looking for an Engineering Manager I to lead a high-impact team building and supporting Pinterest’s mid-funnel ad products, including Max-Width Collections, Promoted Board Takeover, Collage Ads, Ads Modules, Showcase Ads, and Quiz Ads. This role owns a portfolio of revenue-critical, time-sensitive products and is responsible for driving both the technical direction and execution needed to deliver high-quality, scalable solutions.

What you’ll do: 

  • Lead an engineering team delivering mid-funnel ad products end to end, ensuring projects are well-scoped, de-risked, and shipped on time with strong performance against target metrics.
  • Drive initiatives to apply AI across mid-funnel ad products, using AI to accelerate prototyping, experimentation, and iteration while maintaining quality and safety.
  • Champion AI adoption in developer workflows, using AI to automate repeatable tasks (e.g., testing, documentation, code reviews) and improve engineering velocity and capacity.
  • Use AI to synthesize complex inputs (metrics, experiments, user feedback, incidents) into clear insights that inform roadmap, tradeoffs, and technical decisions.
  • Serve as the engineering owner for this workstream: define the technical roadmap, architecture, and long-term vision in partnership with cross-functional partners (PM, Design, DS, PMM).
  • Actively contribute code and lead implementation of key projects, setting a high technical bar and modeling best practices in design, testing, and observability.
  • Build and maintain a healthy, high-trust team culture, providing coaching, feedback, and career development support to engineers at different levels.
  • Partner closely with cross-functional stakeholders to align on priorities, manage dependencies, and communicate progress, risks, and outcomes clearly.

What we’re looking for:

  • 5+ years of industry experience building complex and user-facing products, with clear accountability for timelines, quality, and business impact.
  • 1+ years of experience leading or managing engineering teams, including setting direction, driving execution, and supporting team members’ growth.
  • Demonstrated experience using AI to improve speed and quality in your day-to-day engineering workflow (e.g., prototyping, code generation, test creation, documentation), with a clear approach to validating accuracy and robustness.
  • Strong track record of critically evaluating AI-assisted work through testing, source-checking, data validation, and peer review; you know when to trust, when to verify, and when to override.
  • High integrity and ownership: you protect sensitive data, avoid over-reliance on AI, and remain fully accountable for final decisions, shipped systems, and team outcomes.
  • Strong hands-on technical background in ads or similarly high-scale domains, including designing and implementing core components in production.
  • Exceptional collaboration skills with cross-functional partners, with the ability to navigate ambiguity, make tradeoffs, and keep stakeholders aligned on priorities and progress.
  • Bachelor’s degree in Computer Science, a related technical field, or equivalent 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 per quarter. Preference for commutable distance from one of the following offices: Palo Alto, CA or San Francisco, CA.

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At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise.

Information regarding the culture at Pinterest and benefits available for this position can be found here.

US based applicants only
$183,040—$320,320 USD

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, 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 complete this form for support.
 
By submitting this application, I certify that all information submitted in my application and throughout the hiring process is true, accurate, and complete to the best of my knowledge. I understand that any false statement, omission, or misrepresentation may disqualify me from employment consideration or result in termination if discovered after hire.
View original posting on Greenhouse

What applying to Pinterest usually looks like

Based on publicly available information, candidates applying through greenhouse for Pinterest can typically expect an online application followed by an initial resume screen. If selected, candidates may be contacted by a recruiter for a phone or video conversation to discuss background and role fit. The process may include multiple stages such as technical or role-specific assessments, hiring manager conversations, and panel interviews with team members, depending on the position applied for. Take-home exercises or portfolio reviews are common for design, engineering, and data roles. Communication is generally handled through the Greenhouse platform, including scheduling and updates. Response times vary and may depend on team needs and role seniority. Candidates should prepare general behavioral and role-relevant technical questions, as these are commonly part of Greenhouse-based hiring workflows across many companies.

Based on publicly available information. LandEarly does not verify interview process details.

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Engineering Manager
Pinterest · San Francisco, CA, US; Palo Alto, CA, US
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