Software Engineering Manager, Global Developer Relations
Role Overview
Lead and transform Autodesk's global Developer Relations organization and engineering teams.
Modernize developer experience using AI, automation, and intelligent self-service across cloud and engineering platforms.
The role has significant 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 organization and engineering teams.
Modernize developer experience using AI, automation, and intelligent self-service across cloud and engineering platforms.
The role has significant ownership of technical strategy, team development, and execution.
Engineering leadership
- Lead and grow engineering teams across multiple locations; define strategy and roadmaps for developer support, onboarding, training, and productivity.
- Build an engineering culture focused on innovation, ownership, quality, and continuous improvement; partner with engineering leaders to deliver solutions.
AI and automation
- Lead production-grade AI agent and intelligent automation design and delivery for support, troubleshooting, repetitive work, and developer self-service.
- Integrate AI with internal developer tools, documentation, APIs, CI/CD, observability platforms, and support systems.
- Ensure solutions are scalable, reliable, secure, observable, and governed; measure productivity and operational efficiency improvements.
Developer experience and platforms
- Improve support with intelligent troubleshooting and automated resolution; modernize personalized, AI-powered onboarding and training.
- Improve access to engineering documentation, knowledge, and self-service; build scalable tools that reduce developer friction.
- Drive improvements across cloud infrastructure, CI/CD, observability, and developer workflows.
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-level technical leadership.
- Experience building and deploying production-grade AI/ML, LLM, or agentic AI solutions; knowledge of 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 with CI/CD and cloud-native applications.
- Ability to set technical strategy, drive execution, influence senior leaders, lead distributed teams, hire talent, and develop engineering leaders.
- Strong communication, collaboration, and problem-solving skills.
Compensation
- For Canada-based roles, expected starting base salary is $140,000–$205,700 per year; offers may vary by experience and location.
- Compensation may include annual cash bonuses, stock grants, and benefits.
Workplace and onboarding
- The posting is marked hybrid.
- In-person onboarding and/or in-person identity verification may be required.
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