The ad says“We’re hiring an Engineering Leader to own ClassDojo’s Platform engineering org end-to-end for infrastructure, data, developer experience, and AI tooling”
The ad says“As the Engineering Lead for Platform, you’ll manage the engineering managers across these teams as well as perform the EM role for teams when needed. You’ll work with our product engineering areas as your customers, set platform engineering practices and quality, and make the build-vs-buy and architecture trade-offs that shape how every engineer at ClassDojo ships”
The ad says“We’re hiring an Engineering Leader to own ClassDojo’s Platform engineering org end-to-end for infrastructure, data, developer experience, and AI tooling”
The ad says“We’re hiring an Engineering Leader to own ClassDojo’s Platform engineering org end-to-end for infrastructure, data, developer experience, and AI tooling”
The ad says“We’re hiring an Engineering Leader to own ClassDojo’s Platform engineering org end-to-end for infrastructure, data, developer experience, and AI tooling”
The ad says“Use LLM-based tools daily and push your teams to adopt them”
The ad says“2+ years managing managers, with direct reports who were themselves people managers”
The ad says“We’re hiring an Engineering Leader to own ClassDojo’s Platform engineering org end-to-end for infrastructure, data, developer experience, and AI tooling”
The ad says“Are an excellent written communicator; can articulate strategy and trade-offs clearly in writing”
We’re hiring an Engineering Leader to own ClassDojo’s Platform engineering org end-to-end for infrastructure, data, developer experience, and AI tooling
As the Engineering Lead for Platform, you’ll manage the engineering managers across these teams as well as perform the EM role for teams when needed. You’ll work with our product engineering areas as your customers, set platform engineering practices and quality, and make the build-vs-buy and architecture trade-offs that shape how every engineer at ClassDojo ships
This is a manager-of-managers role with real architectural and strategic ownership. You’ll have 2 to 4 engineering managers reporting in, and your work multiplies across the entire engineering org. You will be expected to set direction, not just execute on it
Own Platform’s company-level objectives and the engineering plan that delivers them
Translate company priorities and product-engineering needs into a platform roadmap, in a way that flows both up and down
Be responsible for build-vs-buy and architecture-level trade-offs across infrastructure, data, developer experience, and AI tooling; own the technical roadmap and how it balances against the needs of your customers
Represent Platform and collaborate with cross-functional leadership partners and in engineering-wide leadership conversations
Coach EMs to a higher bar with clear feedback, growth plans, and direct support
Drive AI-native development in line with ClassDojo’s engineering practices (flow-based delivery, vertical slicing, WIP discipline, Definition of Done, observability)
Address performance issues early and clearly; develop managers out of “fine” performance into great performance
Be directive when our values, quality bar, or ways of working are at stake
Treat the product engineering areas as customers: understand their needs, measure adoption and satisfaction, and prioritize accordingly
Build paved roads and golden paths that teams want to use; earn adoption rather than mandating it
Take accountability for SLAs/SLOs and incident response across the platform surface
Make tech-debt and reliability trade-offs on purpose, not by accident
Support and drive architecture and systems design decisions across infrastructure, data, DevEx, and AI tooling; ensure systems are reliable, maintainable, and operationally ready
Make build-vs-buy calls deliberately; avoid both not-invented-here and unmanaged sprawl
Co-own the platform roadmap and quality bar with the product engineering leads who depend on you
Partner with Security, Ops, Data, and other functions as the platform requires
Build pragmatic interim solutions that work today and migrate cleanly as platform capabilities mature
Benefits
Work from home opportunities
Preferred experience
Have owned a platform, infrastructure, data, or developer-productivity area and delivered a measurable outcome (throughput, reliability, cost, or operational safety)
Have built or evolved platform engineering practices across multiple teams, not just within one, and earned adoption
Comfortable making and defending build-vs-buy and architecture-level trade-offs across the platform surface; can still reason about code with taste
Embrace Candor > Harmony: give the hard message early, comfortable with disagreement
Are an excellent written communicator; can articulate strategy and trade-offs clearly in writing
2+ years managing managers, with direct reports who were themselves people managers
Use LLM-based tools daily and push your teams to adopt them
10+ years total in technical roles, with a strong individual-contributor era you can still draw on
Have hired, developed, and managed engineering managers
Experience running infrastructure, data, DevEx, or AI platforms at meaningful scale
Has built developer platforms that internal engineers genuinely adopted (paved roads, golden paths, internal developer platforms)
Has used AI-native workflows to materially change how a team designs, ships, and operates, and/or has built AI tooling/platform for other engineers (not just personal use)
Brings a network of high-quality platform/infrastructure engineering talent
Experience leading a remote-first, distributed engineering team