About the company
Pinterest is a platform where millions of people find creative ideas and plan for memories. We are looking for a Director of Engineering to lead the strategic vision and execution for Pinterest’s core and ads serving platforms, overseeing the infrastructure that enables high-scale, low-latency delivery of content and ads across all Pinterest surfaces.
Responsibilities
- Set the long-term technical and operational vision for the Core and Ads Serving Platform, aligning infrastructure investments with business strategy
- Lead a high-performing organization of engineers and managers, fostering a culture of innovation, technical excellence, and rapid delivery
- Partner with senior leaders in Product, ML, and Infra to define priorities, resolve tradeoffs, and ensure our systems support our strategic goals for revenue, engagement, and safety
- Drive initiatives to modernize our serving stack, improving reliability, latency, and cost-efficiency while enabling faster iteration for product teams
- Establish clear metrics for platform success (e.g., latency, availability, cost-per-impression) and hold the organization accountable for delivering on these targets
- Use AI to accelerate platform analysis, design iteration, system debugging, and documentation synthesis, enabling the organization to make better decisions faster while maintaining high standards for accuracy
Requirements
- 5+ years of Experience leading or managing big engineering organizations, including setting direction, driving execution, and supporting team members’ growth
- 8+ years of relevant industry experience
- Extensive experience leading engineering organizations responsible for large-scale serving or delivery infrastructure, with a deep understanding of distributed systems and performance tradeoffs
- Proven ability to translate business goals into technical roadmaps and deliver on complex, multi-year initiatives
- Exceptional leadership skills: you develop leaders, foster inclusivity, and maintain a high-trust, high-accountability environment
- Demonstrated experience using AI/LLM-powered tooling to improve engineering velocity and quality, with a sound approach to validating outputs
- Excellent communication and stakeholder management skills; ability to influence senior cross-functional partners and articulate technical trade-offs to non-technical audiences
- Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience