Position Overview

Autodesk is looking for an experienced Engineering Manager to lead a high-performing engineering team within the Enterprise Technology (ET) organization. The team builds integrations and platform capabilities that empower Customer Success teams to drive customer adoption, engagement, retention, and business outcomes at scale.

In this role, you will lead, hire, develop, and grow a team of talented engineers while remaining closely connected to the technology. You will provide technical direction, review designs, guide delivery, and develop proofs of concept when needed while collaborating closely with Architects, Product Managers, Program Managers, and cross-functional engineering teams.

We are looking for a hands-on, technology-forward engineering leader who embraces Artificial Intelligence (AI)-assisted development, modern engineering practices, and emerging technologies. You will combine people leadership, technical expertise, and strong execution to deliver meaningful customer and business impact.

Responsibilities

• Lead, mentor, and develop a team of software engineers across back-end, full-stack, and platform engineering domains
• Foster a high-performing engineering culture focused on collaboration, ownership, accountability, innovation, and continuous learning
• Conduct regular performance reviews, career development discussions, coaching, and technical mentoring
• Support hiring efforts, including technical interviews, onboarding, workforce planning, and team growth
• Provide technical guidance and architectural oversight for back-end services, full-stack applications, integrations, and distributed systems
• Partner with Principal Engineers and Architects to align system architecture with long-term platform strategy
• Ensure teams follow engineering best practices, including automated testing, Continuous Integration and Continuous Deployment (CI/CD), observability, code reviews, and secure coding
• Guide teams in designing and building scalable, reliable, secure, and maintainable systems
• Promote the responsible adoption of AI-assisted development tools and modern developer productivity practices
• Collaborate with Product Management and business stakeholders to translate requirements into engineering roadmaps and execution plans
• Drive the delivery of high-quality software through Agile development practices and effective engineering execution
• Ensure reliable production systems by promoting operational excellence, monitoring, observability, and effective incident management
• Identify and remove technical and organizational blockers to enable teams to deliver effectively
• Enable teams to build data-driven and AI-enabled capabilities using modern data platforms and Machine Learning (ML) technologies
• Support the development of data pipelines, analytics platforms, and AI-powered workflows
• Encourage the effective use of AI-assisted tools across software development, testing, automation, and engineering workflows
• Partner with Data and Platform teams to deliver scalable data and AI infrastructure
• Manage team priorities, dependencies, risks, and deliverables while ensuring alignment with organizational objectives

Minimum Qualifications

• Bachelor's or Master's degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience
• 10+ years of software engineering experience, including hands-on development and production software delivery
• 2–4 years of experience in engineering leadership, people management, or technical team leadership
• Demonstrated experience hiring, mentoring, coaching, and developing high-performing engineering teams
• Strong hands-on experience with JavaScript, React, Node.js, Express, or similar modern web development technologies
• Experience working with databases and designing data-driven applications
• Experience with Amazon Web Services (AWS) and exposure to serverless architectures
• Experience with Continuous Integration and Continuous Deployment (CI/CD) practices and tools such as Jenkins and Argo CD
• Strong understanding of software architecture, system design, code quality, design reviews, code reviews, and engineering best practices
• Experience collaborating with Architects, Product Managers, Program Managers, and cross-functional engineering teams
• Demonstrated ability to manage delivery, priorities, dependencies, risks, and stakeholder expectations
• Strong communication, problem-solving, decision-making, and execution skills

Preferred Qualifications

• Experience managing software engineering teams responsible for enterprise platforms, integrations, or distributed systems
• Experience building cloud-native applications and services on Amazon Web Services (AWS)
• Experience with Artificial Intelligence (AI)-assisted software development and modern engineering productivity tools
• Experience developing data platforms, data pipelines, analytics solutions, or AI-enabled applications
• Experience with observability, production operations, incident management, and Site Reliability Engineering (SRE) practices
• Experience managing teams in a global or cross-functional enterprise technology environment
• Experience leading technical transformation or engineering process improvement initiatives

The Ideal Candidate

The ideal candidate is a hands-on engineering leader who combines strong people leadership, technical depth, and execution excellence to build high-performing teams and deliver scalable technology solutions that create meaningful customer and business impact

• Builds, develops, and motivates high-performing engineering teams through effective coaching, mentoring, and career development
• Creates an inclusive and accountable team environment that encourages collaboration, innovation, ownership, and continuous learning
• Maintains sufficient technical depth to guide architectural decisions, challenge assumptions, and support engineers in solving complex technical problems
• Balances people leadership, technical direction, operational responsibilities, and delivery commitments effectively
• Establishes clear priorities and ensures teams remain organized, productive, and focused on delivering measurable outcomes
• Takes accountability for team deliverables and drives execution against objectives that span multiple quarters
• Applies sound judgment when making technical and operational decisions within established organizational priorities and engineering standards
• Partners effectively with Product Management, Architecture, Program Management, Data, and cross-functional engineering teams
• Identifies and removes technical, organizational, and delivery blockers that affect team performance
• Embraces Artificial Intelligence (AI)-assisted development and emerging technologies while maintaining strong standards for quality, security, and engineering rigor
• Communicates clearly with engineers, senior leaders, and business stakeholders and builds alignment around priorities and technical direction
• Demonstrates curiosity, adaptability, and a continuous improvement mindset while helping the team navigate evolving technologies and business requirements

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About Autodesk

Welcome to Autodesk! Amazing things are created every day with our software – from the greenest buildings and cleanest cars to the smartest factories and biggest hit movies. We help innovators turn their ideas into reality, transforming not only how things are made, but what can be made.

We take great pride in our culture here at Autodesk – it’s at the core of everything we do. Our culture guides the way we work and treat each other, informs how we connect with customers and partners, and defines how we show up in the world.

When you’re an Autodesker, you can do meaningful work that helps build a better world designed and made for all. Ready to shape the world and your future? Join us!

Salary transparency

Belonging
We take pride in cultivating a culture of belonging where everyone can thrive. Learn more here: https://www.autodesk.com/company/global-belonging

In-Person Onboarding and Identity Verification

This role may require in-person onboarding and/or in-person ID verification.