Engineering Manager I, Innovative Ad Formats

Pinterest is a platform where millions of people find creative ideas and plan for memories. The company's mission is to bring everyone the inspiration to create a life they love.

We are 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 technical direction and execution.

• 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.

• 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 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.
• High integrity and ownership: 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.
• Bachelor's degree in Computer Science, a related technical field, or equivalent experience.

Base salary range: $183,040—$320,320 USD. The position is also eligible for equity. Final salary is based on factors including location, travel, relevant prior experience, or particular skills and expertise.

This role will need to be in the office for in-person collaboration 1-2 times per quarter. Preference for commutable distance from Palo Alto, CA or San Francisco, CA. This position is not eligible for relocation assistance.