Software Engineering Manager, Global Developer Relations

L'affichage de poste en français suivra / The French job posting follows.

26WD101417, Software Engineering Manager, Global Developer Relations

Position Overview

Autodesk is looking for an experienced Software Engineering Manager to lead and transform our global Developer Relations organization.

Job Requisition ID #

26WD101417

L'affichage de poste en français suivra / The French job posting follows.

26WD101417, Software Engineering Manager, Global Developer Relations

Position Overview

Autodesk is looking for an experienced Software Engineering Manager to lead and transform our global Developer Relations organization.

In this role, you will lead engineering teams responsible for developer support, onboarding, training, and enablement across Autodesk's cloud and engineering platforms, including CI/CD, observability, CloudOS, and cloud infrastructure.

Your primary mission is to modernize the developer experience using AI, automation, and intelligent self-service solutions, helping thousands of Autodesk developers become more productive.

We are looking for a strong technical leader who combines deep software engineering expertise, hands-on experience delivering AI solutions, and a proven ability to build and lead high-performing teams.

This is an opportunity to shape the future of developer productivity at Autodesk, with significant ownership of technical strategy, team development, and execution.

Responsibilities

Engineering Leadership

• Lead, develop, and grow high-performing engineering teams across multiple locations.
• Define the technical strategy and roadmap for Developer Relations, support, onboarding, training, and developer productivity.
• Build a strong engineering culture focused on innovation, ownership, quality, and continuous improvement.
• Partner with engineering leaders across Autodesk to identify opportunities and deliver impactful solutions.

AI and Automation

• Lead the design and delivery of production-grade AI agents and intelligent automation solutions.
• Use AI to simplify technical support, troubleshoot engineering issues, automate repetitive tasks, and improve developer self-service.
• Integrate AI solutions with internal developer tools, documentation, APIs, CI/CD pipelines, observability platforms, and support systems.
• Ensure AI solutions are scalable, reliable, secure, observable, and properly governed.
• Establish measurable improvements in productivity and operational efficiency through AI and automation.

Developer Experience And Platform Engineering

• Improve developer support by introducing intelligent troubleshooting and automated issue resolution.
• Modernize onboarding and training through personalized, AI-powered experiences.
• Improve access to engineering documentation, technical knowledge, and self-service resources.
• Build scalable tools and platforms that reduce friction and help developers work more efficiently.
• Drive continuous improvements across cloud infrastructure, CI/CD, observability, and developer workflows.

What Success Looks Like

• Developers can resolve issues faster through AI-powered self-service and intelligent support.
• AI agents automate repetitive engineering tasks and improve operational efficiency.
• New developers become productive faster through streamlined onboarding.
• Engineering knowledge and training are easier to access and more relevant.
• Developer productivity, support efficiency, and overall engineering experience improve measurably.
• Your teams consistently deliver reliable, scalable, and impactful engineering solutions.

Minimum Qualifications

• Bachelors degree in Computer Science or similar field
• 10+ years of progressive software engineering experience, including 5+ years leading engineering teams and demonstrated senior-level technical leadership.
• Demonstrated experience designing, building, and deploying production-grade AI/ML, LLM, or agentic AI solutions.
• Strong understanding of agentic AI architectures, 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.
• Strong 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.
• Proven ability to define technical strategy, drive execution, and influence senior engineering leaders.
• Experience leading geographically distributed teams, hiring strong technical talent, and developing engineering leaders.
• Excellent communication, collaboration, and problem-solving skills.

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