About the role
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 a Staff Software Engineer to provide technical leadership for a team transforming how merchants onboard and activate through agent enabled experiences. You will partner with Product and engineering leaders to shape the roadmap, prototype innovative ideas and deliver reliable systems that use merchant signals and personalized recommendations to create measurable business impact.
What you’ll do
- Lead the architecture and delivery of scalable, MCP first systems for merchant onboarding, activation and growth experiences.
- Partner with Product to shape a growth roadmap, identify high value opportunities and convert the strongest concepts into production experiences.
- Design integrations that apply high quality merchant signals and personalized recommendations across Pinterest surfaces and approved external agent ecosystems.
- Build agent enabled experiences that improve merchant readiness and campaign creation, with clear measurement of their contribution to business impact.
- Use AI to accelerate prototyping, analysis and iteration while applying judgment and verification to ensure quality, reliability and user trust.
- Improve the team's AI harness across development, testing, quality validation and service operations.
- Raise the technical bar through clear technical direction, design reviews and coaching that helps engineers make thoughtful decisions and deliver with strong ownership.