Director of Engineering

Who you are

• 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

What the job involves

• 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
• They will define the multi-year architecture to ensure our serving systems are reliable, performant, and cost-efficient while enabling rapid innovation for product and ML teams
• 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