Software Development Manager, Generative AI

Autodesk Autodesk · Enterprise · AMER - Canada - Ontario - Toronto - University Ave

Software Development Manager for a full-stack engineering team at Autodesk, focused on integrating AI capabilities and agentic workflows into product experiences. The role involves defining data representations, delivering integration surfaces, and designing client/server components for automated assistants and flows. Responsibilities include technical leadership, people management, ensuring predictable delivery, and cross-functional collaboration with product and research teams.

What you'd actually do

  1. Provide hands-on technical guidance and help the team make pragmatic architecture and implementation decisions that balance delivery speed and long-term maintainability
  2. Lead and coach engineers who implement customer-facing UI and client integrations. Own client architecture and performance tradeoffs, collaborate with UX/design, and ensure frontend quality (responsiveness, accessibility, cross-platform compatibility, and performance)
  3. Run regular 1:1s, performance conversations, and career development for individual contributors. Foster a culture of ownership, quality, and psychological safety
  4. Turn product priorities into clear milestones, manage scope and dependencies, and ensure the team delivers on schedule with high quality
  5. Work closely with product and research partners to translate evolving capabilities into safe, usable, and performant product experiences. Make sensible tradeoffs for UX, latency, and cost

Skills

Required

  • 7+ years professional software engineering experience delivering production software with a record of coaching and growing individual contributors
  • Hands-on full-stack experience with an emphasis on front-end and client work (modern front-end frameworks and tooling)
  • Demonstrated experience leading teams that build customer-facing UI and client integrations
  • Experience designing and shipping integration surfaces and developer tools or libraries for internal teams or external partners
  • Experience working with or alongside ML/AI or research teams to productionize capabilities, and familiarity with the unique operational and UX considerations that such work introduces
  • Practical familiarity with cloud-native development, CI/CD, and operational practices
  • Strong written and verbal communication skills; proven ability to work cross-functionally

Nice to have

  • Direct experience designing or operating orchestration frameworks or model-invocation patterns is a plus
  • Strong front-end engineering skills: JavaScript/TypeScript, React (or equivalent), component architecture, and frontend test automation
  • Experience with

What the JD emphasized

  • front-end and client work
  • customer-facing UI and client integrations
  • integration surfaces and developer tools or libraries
  • production software
  • coaching and growing individual contributors
  • working with or alongside ML/AI or research teams to productionize capabilities

Other signals

  • integrating AI capabilities
  • agentic workflows
  • orchestrate automated assistants and flows
  • production-quality solutions