Senior Engineering Manager, Developer Productivity

Reddit Reddit · Consumer · United States · Remote · DevPlatform

Senior Engineering Manager to lead teams building AI-assisted engineering workflows and agentic development platforms at Reddit. The role focuses on making AI-native development safe, measurable, and effective, defining operating models, and driving adoption of AI tools across the software development lifecycle. Responsibilities include leading teams, defining roadmaps, building measurement systems, and driving AI governance.

What you'd actually do

  1. Lead and grow high-performing engineering teams focused on AI-native developer productivity, fostering a culture of technical excellence, ownership, inclusion, and continuous improvement.
  2. Partner with Developer Productivity and Infrastructure leaders to translate strategy into scalable platforms and engineering roadmaps across code review, agent infrastructure, self-service LLM access, evaluation and observability systems, development environments, and safe agent workflows across the software development lifecycle.
  3. Define and evolve the operating model for AI-native software development, including paved paths, platform adoption strategies, governance models, and engineering standards that enable safe and effective experimentation at scale.
  4. Drive alignment across infrastructure, developer experience, reliability, security, compliance, product engineering, machine learning, and executive stakeholders. You will influence across organizations and create clarity across teams with different priorities and incentives.
  5. Build engineering systems and organizational processes that help teams move from experimentation to durable adoption of AI-assisted workflows while maintaining quality, reliability, and operational safety.

Skills

Required

  • Software engineering management
  • Infrastructure
  • Developer tools
  • Platform engineering
  • AI tooling
  • AI-native development
  • Agentic workflows
  • LLM governance
  • Measurement systems
  • Technical leadership
  • Organizational alignment
  • Technical quality
  • Platform strategy
  • Communication
  • Enablement mechanisms
  • Technical strategy reviews
  • Working groups
  • Training
  • Documentation
  • Rollout plans
  • Clear narratives
  • Business and engineering outcomes
  • Systemic risks
  • Architectural tradeoffs
  • Pragmatic decisions
  • CI/CD
  • Code review
  • Deploy automation
  • Developer environments
  • Production reliability
  • Organizational planning
  • Hiring
  • Career development

Nice to have

  • AI-assisted code review
  • Self-service LLM access
  • Evaluation and observability systems
  • Software delivery automation

What the JD emphasized

  • AI-assisted engineering workflows
  • AI-native development
  • agentic workflows
  • scalable platforms
  • engineering roadmaps
  • operating model for AI-native software development
  • measurement systems
  • AI governance
  • AI tooling

Other signals

  • AI-assisted engineering workflows
  • AI-native development
  • agentic workflows
  • LLM access and evaluation
  • safe agent workflows
  • measurement systems for AI productivity