Principal Engineer, Shopping & Delivery Infra

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.

Pinterest is looking for a Principal Engineer to lead the technical strategy and execution for our Indexing & Retrieval Infrastructure across Core, Ads, and Shopping. This role sits at the center of our delivery infrastructure organization and will shape how fresh, relevant, and cost-efficient candidates are generated for the discovery experiences that power Pinterest at scale.

What you’ll do:

• Define and drive the long-term technical vision for indexing and retrieval infrastructure across Core, Ads, and Shopping, aligning architecture investments to measurable improvements in freshness, quality, coverage, reliability, and cost efficiency.
• Lead cross-org initiatives to modernize Pinterest’s indexing architecture, including advancing unified real-time and incremental retrieval systems that support high-scale, high-quality candidate generation.
• Partner closely with engineering, product, ML, and infrastructure leaders to align priorities, resolve tradeoffs, and deliver shared platform capabilities that improve retrieval performance across multiple discovery surfaces.
• Raise the technical bar for retrieval infrastructure by guiding system design, architecture reviews, and execution on complex platform changes that span document ingestion, indexing, retrieval, and quality evaluation.
• Build shared platform capabilities such as common metrics, tuning surfaces, and debugging workflows that help teams understand and improve the tradeoffs between relevance, safety, engagement, revenue, and infra