Software Development Manager, Developer Productivity & AI Systems (us)

Autodesk Autodesk · Enterprise · AMER - United States - Oregon - Portland, AMER - United States - Georgia - Atlanta - Peachtree St NW, AMER - United States - California - San Francisco - One Market, AMER - United States - Massachusetts - Boston - Drydock, AMER - United States - Colorado - Denver - Wewatta

Engineering Manager to lead the creation of internal AI-powered systems aimed at simplifying the Software Development Lifecycle (SDLC) for engineers, focusing on reducing cognitive, operational, and repetitive burdens.

What you'd actually do

  1. Lead, mentor, and grow a high-performing Developer Productivity engineering team
  2. Hiring, coaching, career development, and feedback
  3. Own delivery of developer productivity platforms:
  4. Define and execute roadmaps
  5. Manage dependencies and risk across teams

Skills

Required

  • 3+ years of experience managing software engineers
  • 8+ years total experience in software engineering
  • Strong hands-on background in backend, platform, or systems engineering
  • Experience building internal developer tools or productivity platforms
  • Practical experience applying AI/ML or LLM-based systems to engineering workflows
  • Strong systems thinking
  • ability to work across ambiguous problem spaces
  • Strong written/spoken communication
  • stakeholder management
  • ability to translate business goals into engineering outcomes

Nice to have

  • Experience building AI-assisted developer tooling at scale
  • Selective test execution and test intelligence
  • Release risk analysis and deployment safety
  • Incident analysis and reliability engineering
  • Experience operating at org scale across multiple domains
  • Strong written and verbal communication skills with technical and non-technical stakeholders

What the JD emphasized

  • AI-powered systems
  • simplify the entire Software Development Lifecycle (SDLC)
  • internal context, standards, and AI-driven intelligence
  • applying AI/ML or LLM-based systems to engineering workflows
  • AI-assisted developer tooling at scale

Other signals

  • AI-powered systems
  • simplify the entire Software Development Lifecycle (SDLC)
  • internal context, standards, and AI-driven intelligence
  • applying AI/ML or LLM-based systems to engineering workflows
  • AI-assisted developer tooling at scale