Platform Engineering Leader: Scale, AI & Data

ClassDojo

San Francisco (CA)

On-site

USD 240,000 - 280,000

Full time

14 days+

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Job summary

ClassDojo seeks an Engineering Leader to own the Platform engineering org end-to-end for infrastructure, data, developer experience, and AI tooling. You will manage engineering managers, deliver a platform roadmap, and balance build-vs-buy decisions with customer needs across the engineering organization.

You will be a match if you have 10+ years in technical roles, 2+ years managing managers, and a track record of owning platform or infrastructure domains with measurable outcomes.

Qualifications

  • 2+ years managing managers.
  • 10+ years total in technical roles.
  • Owned a platform, infrastructure, data, or developer-productivity area and delivered measurable outcomes.
  • Built platform engineering practices across multiple teams and earned adoption.
  • Hired, developed, and managed engineering managers.

Responsibilities

  • Lead a multi-team Platform org and own the engineering plan and roadmap.
  • Develop EMs with clear feedback, growth plans, and support.
  • Drive AI-native development in line with engineering practices.
  • Set direction and ensure platform quality, reliability, and observability.
  • Build paved roads and golden paths to drive adoption.
  • Co-own platform roadmap with product leads and partner with Security, Ops, Data, and others.

Skills

People leadership
Platform engineering
Architectural decisions
DevEx / developer experience
AI tooling
Cross-functional collaboration

Job description

ClassDojo seeks an Engineering Leader to own the Platform engineering org end-to-end for infrastructure, data, developer experience, and AI tooling. You will manage engineering managers, deliver a platform roadmap, and balance build-vs-buy decisions with customer needs across the engineering organization.

You will be a match if you have 10+ years in technical roles, 2+ years managing managers, and a track record of owning platform or infrastructure domains with measurable outcomes.

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