Engineering Manager I, Innovative Ad Formats
PinterestAbout 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 wit
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