Engineering Manager, AI Infrastructure

About Mixpanel Mixpanel turns data clarity into innovation. Trusted by more than 29,000 companies, including Workday, Pinterest, LG, and Rakuten Viber, Mixpanel’s AI-first digital analytics help teams accelerate adoption, improve retention, and ship with confidence. Powering this is an industry-leading platform that combines product and web analytics, session replay, experimentation, feature flags, and metric trees. Mixpanel delivers insights that customers trust. Visit mixpanel.com to learn more. About the Team Mixpanel Engineering is a small, fast-moving team focused on delivering real value to customers. We build powerful AI-powered product analytics while obsessing over clarity, simplicity, and delight. Engineers here own problems end to end. You can move across the stack to ship impact without being blocked by silos or heavy process. Product innovation drives our business, and product engineering teams own that responsibility. We are hiring an Engineering Manager for Data Storage. This team solves stateful distributed systems problems, handling processing and ingestion and storage at scale and low cost. The entire Infrastructure group focuses on high-scale customer data, operating as a force multiplier for the broader company as it moves toward an AI-first product.   Together, these teams are driving foundational initiatives like elastic query compute, distributed file caching, real-time data streaming, and AI-ready APIs that will underpin the next generation of the product. Collectively, they combine deep expertise in high-scale distributed systems and backend engineering to ensure Mixpanel's infrastructure is reliable, performant, and a core part of the broader data ecosystem ready for the demands of an AI-driven future. About the Role Teams operate as autonomous pods, with engineering, product, and design working side by side on clear strategic goals. Teams have direct access to customer feedback, product usage data, business metrics, and design context. We start with customer problems. We reason from first principles. We challenge assumptions. We aim for simple solutions to complex problems and avoid unnecessary abstraction. Engineering owns execution, quality, and operations. There are no project managers, QA teams, or separate SREs. Ownership stays with the people building the product. We value written thinking, dashboards, and demos over slide decks. We work openly using tools like Slack, GitHub, Mixpanel, Notion, Figma, and Zoom. Our team is distributed across North America, with strong clusters in the San Francisco Bay Area, Seattle, and Austin. Responsibilities Lead and build AI-first product experiences from inception to global scale. Lead an engineering team and grow its scope over time. This role is for someone who loves developing people and unlocking their potential. Build an exceptional team by hiring well, coaching deeply, and creating a culture where engineers feel ownership and pride in what they ship. Shape direction alongside Product, turning big ideas into focused execution and helping teams move fast without losing quality. Set the technical bar and protect the system. Depending on level, this may mean hands-on technical leadership or empowering tech leads with clarity and trust. Requirements 10+ years engineering experience; 4+ years leading engineering teams Experience building and running infrastructure supporting real-world, customer-facing web applications. Experience building and using AI-powered products in production environments. Proven collaboration with product managers and designers on meaningful infrastructure. Strong judgment in technical tradeoffs, backed by lessons learned. Evidence of leadership through influence, alignment, and growing others. Director candidates must have experience managing managers. Skilled at navigating ambiguity, making tradeoffs, and bringing clarity to complex org structures High level of ownership, accountability, and product intuition Additional Resources  Engineering Life Page  Engineering Blog   Compensation The amount listed below is the total target cash compensation (TTCC) and includes base compensation and variable compensation in the form of either a company bonus or commissions. Variable compensation type is determined by your role and level. In addition to the cash compensation provided, this position is also eligible for equity consideration and other benefits including medical, vision, and dental insurance coverage. You can view our benefits offerings here . Our salary ranges are determined by role and level and are benchmarked to the SF Bay Area Technology data cut released by Radford, a global compensation database. The range displayed represents the minimum and maximum TTCC for new hire salaries for the position across all of our US locations. To stay on top of market conditions, we refresh our salary ranges twice a year so these ranges ma