Manager II, Production Engineering

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 . Production Engineering at Pinterest is an evolution of our Site Reliability Engineering organization blending a hybrid of systems and software engineering with a focus on scaling, resiliency, reliability, performance, and efficiency. Our organization accomplishes this through building & integrating software, increasing automation, and infusing our knowledge & best practices into our Platform products so we can scale our large distributed systems to keep our customers happy, and our Pinners inspired. We also do this by developing short and long term embedded engagements with our engineering partners to help remove barriers, up-level reliability & best practices, and maintain a high consistent bar for reliability in a fast paced ever changing environment. We are always on a mission to improve reliability while also increasing engineering velocity, reducing toil and KTLO impact for both ourselves and our customers:  fast, efficient, quality - we will accomplish all three!   What you’ll do: Lead our engineers to deliver on the biggest impact work across engineering to ensure we’re infusing best practices into our products relating to reliability, scalability, performance and efficiency Drive technical architecture discussions; including being capable of driving and decision making for technology or applications that you have not had previous experience with Continuously assess your team’s performance, address and coach under-performance, and recognize and promote high performance Create an inclusive and welcoming workplace where every team member feels valued and supported Use AI to accelerate analysis, iteration, experimentation and time to market while applying judgment and verification to ensure correctness and quality Foster an environment of open and honest communication, allowing team members to be safe to fail, encourage risk taking with a fail-fast mentality, and establish forums where they can share their ideas Empower engineers to develop their careers, matching their strengths with projects tailored to their skill levels, long-term skill development, personalities, and work styles Create an inspiring team charter and direction that align with the goals of the broader Production Engineering organization Develop strong partnerships with Product & Program Management partners across infrastructure by communicating a clear and impactful vision and priorities Establish team norms around planning, execution, and continuous improvement   What we’re looking for: 3+ years experience managing teams within an SRE, Production Engineering or other Platform/Infrastructure organizations Customer obsession: Demonstrated ability to work cohesively and build relationships with partners across engineering disciplines and capable of influencing without authority Demonstrated ability to use AI to improve speed and quality in your day-to-day workflow for relevant outputs High integrity and ownership: you protect sensitive data, avoid over-reliance on AI, and remain accountable for final decisions and deliverables Familiarity with the concepts and use cases for SDLC including SCM tools, Build platforms, test frameworks, CI/CD products Familiar with usage and high level architecture of data platform technologies such as relational databases, storage & caching, key value stores, time series data stores, etc. Strong domain expertise in reliability concepts and best practices with the ability to innovate and provide thought leadership and direction in this problem space Hands on familiarity with public cloud platforms such as AWS, GCP, or Azure Knowledge of Linux systems internals and networking Thrive in an environment with a lot of ambiguity with the ability to be self sufficient and ruthlessly prioritize the highest impact projects Infrastructure te