Director of Engineering, Core & Ads Serving Platform

About the role

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.

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 large 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.

Schedule

This role will need to be in the office for in-person collaboration 1-2 times per quarter and therefore needs to be in a commutable distance from one of the following offices: PA or SF offices.

Pay

US based applicants only. The base salary range for this position is $285,452—$449,541 USD. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise.