Software Engineering Manager, Global Developer Relations
Role Overview
Lead and transform Autodesk’s global Developer Relations engineering organization.
Lead teams responsible for developer support, onboarding, training, and enablement across cloud and engineering platforms.
Modernize developer productivity using AI, automation, and intelligent self-service, with ownership of technical strategy, team development, and execution.
Key Skills for This Role
Full Job Posting
Position overview
Lead and transform Autodesk’s global Developer Relations engineering organization.
Lead teams responsible for developer support, onboarding, training, and enablement across cloud and engineering platforms.
Modernize developer productivity using AI, automation, and intelligent self-service, with ownership of technical strategy, team development, and execution.
Engineering leadership
- Lead, develop, and grow engineering teams across multiple locations; build a culture of innovation, ownership, quality, and continuous improvement.
- Define strategy and roadmaps for Developer Relations, support, onboarding, training, and developer productivity.
- Partner with Autodesk engineering leaders to identify opportunities and deliver solutions.
AI, automation, and developer experience
- Design and deliver production-grade AI agents and intelligent automation for technical support, troubleshooting, repetitive tasks, and developer self-service.
- Integrate AI with internal developer tools, documentation, APIs, CI/CD pipelines, observability platforms, and support systems; ensure solutions are scalable, reliable, secure, observable, and governed.
- Improve developer support, onboarding, training, engineering knowledge access, self-service resources, and developer workflows.
- Build scalable tools and platforms and improve cloud infrastructure, CI/CD, and observability; measure productivity and operational efficiency.
Minimum qualifications
- Bachelor’s degree in Computer Science or a similar field.
- 10+ years of progressive software-engineering experience, including 5+ years leading engineering teams and senior technical leadership.
- Experience designing, building, and deploying production-grade AI/ML, LLM, or agentic AI solutions.
- Understanding of agentic AI architecture, including RAG, tool use, orchestration, evaluation, security, and human-in-the-loop workflows.
- Experience applying AI and automation to developer productivity, technical support, or enterprise workflows.
- Background in software architecture, distributed systems, cloud computing, and platform engineering.
- Hands-on experience with AWS, Kubernetes, databases, networking, and API management (GCP Apigee).
- Experience building and operating CI/CD pipelines and cloud-native applications.
- Ability to define technical strategy, drive execution, and influence senior engineering leaders.
- Experience leading distributed teams, hiring technical talent, and developing engineering leaders; strong communication, collaboration, and problem-solving skills.
Salary transparency
- For Canada-based roles, the stated starting base salary range is CAD 140,000–205,700; the posting does not specify the pay cadence. Offers depend on experience and geographic location and may exceed the range.
Onboarding
- The role may require in-person onboarding and/or in-person identity verification.
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