About
ClassDojo provides a communication network connecting teachers, children, and families and is expanding into learning experiences for children.
Responsibilities
•Lead the multi-team Platform organization and own its company-level objectives and engineering plan
•Translate company priorities and product-engineering needs into a platform roadmap
•Make build-vs-buy and architecture trade-offs across infrastructure, data, developer experience, and AI tooling; own the technical roadmap
•Represent Platform in cross-functional and engineering-wide leadership discussions
•Coach engineering managers through feedback, growth plans, and direct support
•Drive AI-native development in line with ClassDojo's engineering practices
•Address performance issues early and develop managers toward stronger performance
•Set direction when company values, quality standards, or ways of working are at stake
•Understand product engineering teams' needs, measure adoption and satisfaction, and prioritize accordingly
•Build paved roads and golden paths that teams choose to adopt
•Own SLAs/SLOs and incident response across the platform
•Make deliberate technical debt and reliability trade-offs
•Drive architecture and systems design decisions across infrastructure, data, developer experience, and AI tooling
•Ensure systems are reliable, maintainable, and operationally ready
•Co-own the platform roadmap and quality bar with product engineering leads
•Partner with Security, Ops, Data, and other functions
•Build pragmatic interim solutions that work today and can be migrated as platform capabilities mature
Requirements
•2+ years managing managers, with direct reports who were themselves people managers
•10+ years in technical roles, including a strong individual-contributor period
•Experience owning a platform, infrastructure, data, or developer-productivity area and delivering a measurable outcome in throughput, reliability, cost, or operational safety
•Experience building or evolving platform engineering practices across multiple teams and earning adoption
•Experience hiring, developing, and managing engineering managers
•Comfortable making and defending build-vs-buy and architecture-level trade-offs across the platform; able to reason about code
•Comfortable giving difficult feedback early and with disagreement
•Use LLM-based tools daily and encourage team adoption
•Excellent written communication and ability to clearly explain strategy and trade-offs
Nice to have
•Experience running infrastructure, data, DevEx, or AI platforms at meaningful scale
•Experience building developer platforms adopted by internal engineers
•Experience using AI-native workflows to materially change how a team designs, ships, and operates, and/or building AI tooling/platforms for other engineers
•Experience leading a remote-first, distributed engineering team
•A network of high-quality platform/infrastructure engineering talent
Conditions
•Salary ranges: $240,000 to $280,000 (USD) in CA, WA, NY, NJ, and CT; $204,000 to $238,000 (USD) in other US states
•The company hires regardless of location, provided there is significant working-hours overlap with one of the Americas time zones
•Equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status
