Director, Engineering - Online Systems

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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 an engineering director for the online systems organization. This org has 50+ people spanning multiple sub-teams who build, scale, and operate the foundational systems powering Pinterest. These teams are responsible for delivering reliable, high-performance, and efficient storage, storage API, and analytics platforms at huge scale, supporting business-critical applications company-wide. This leader will define and drive the long-term vision, ensure technical excellence, and foster a culture of inclusion, innovation, and high accountability.

• →Lead a high-performing multi-team organization (50+) building Pinterest’s foundational online systems: storage, storage API, and analytics platforms leveraged by the entire company.
• →Create a culture of high quality and ownership; ensure systems are reliable, low-latency, and efficient as they scale globally.
• →Lead and deliver a cross-functional strategic initiative to modernize Pinterest’s online systems tech stack by adopting cutting-edge technologies and practices.
• →Define and drive the team vision and technical strategy for the next 3+ years, partnering closely with senior engineering leadership and cross-functional partners.
• →Champion AI adoption to accelerate system development, enhance operations, and continuously improve outcomes for internal customers and business stakeholders.
• →Support, coach, and develop managers and senior technical leaders across the organization, investing in their growth and success.
• →Collaborate with cross-functional partners (Product, Design, Data Science, PMM) to align on priorities, manage dependencies, and transparently communicate progress and risks.
  
  

• 10+ years of relevant industry experience with deep technical expertise in distributed systems, storage, or caching architectures.
• 5+ years of experience leading or managing large, high-impact engineering organizations, including experience managing managers and setting direction at scale.
• Proven success driving the strategy, vision, and technical roadmap for foundational engineering teams supporting mission-critical use cases.
• Demonstrated experience leveraging AI to accelerate development, enhance operations, and improve customer outcomes.
• Strong track record building and mentoring high-performing, diverse teams and creating a culture of inclusion and candid feedback.
• Exceptional collaboration and communication skills with the ability to navigate ambiguity, make technical and organizational tradeoffs, and influence stakeholders.
• Bachelor’s degree in Computer Science, a related technical field, or equivalent experience.