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About the Role
Autodesk is seeking an experienced Software Development Manager to lead a high-performing engineering team within the Growth Experience Technology (GET) organization. This team is responsible for the post-purchase customer account experience, including account and subscription management, personalization, and experimentation platforms. The role involves technical direction, design review, delivery guidance, and collaboration with cross-functional teams, with a focus on AI-assisted development and modern engineering practices.
Responsibilities
- Lead, mentor, hire, nurture, and develop a team of high-performing software developers.
- Build an inclusive, collaborative, ownership-driven engineering culture focused on accountability and continuous learning.
- Manage performance, career development, coaching, onboarding, and team growth.
- Create clarity around team priorities, roles, responsibilities, expectations, and success measures.
- Drive delivery planning and execution across quarterly and multi-quarter initiatives, with a durable multi-quarter roadmap and LOE-backed solution plans.
- Collaborate with Product, Program, Architecture, Design, and other engineering teams to translate business goals into technical execution plans.
- Manage dependencies, risks, priorities, and trade-offs while communicating progress clearly to stakeholders.
- Remove technical, organizational, and process blockers to help teams deliver high-quality software predictably.
- Provide technical guidance for applications and services built using JavaScript, React, Node.js, Express, databases, AWS, and serverless technologies.
- Own the account portal's migration and evolution on Experience Builder.
- Guide the team's experimentation platform work, including feature flagging and A/B testing via LaunchDarkly, and identity/session handling.
- Guide personalization capability for post-purchase account experiences, including ML-driven and rules-driven surfaces.
- Provide technical direction for conversational-AI-powered account flows, including safe experiment ramps, event instrumentation, and cross-system fallback handling.
- Participate in architecture discussions, design reviews, code reviews, and technical decision-making.
- Partner with architects and senior developers to ensure scalable, maintainable, reliable, and secure system design.
- Promote strong engineering practices including automated testing, CI/CD, secure coding, observability, operational excellence, and production readiness.
- Support and improve build, deployment, and release processes using Jenkins and modern CI/CD pipelines.
- Develop or guide proof of concepts to validate new ideas, technologies, and architectural approaches.
- Champion responsible adoption of AI-assisted engineering practices, coding assistants, automation tools, and LLM-based development workflows.
- Encourage practical use of tools such as Cursor, Claude Code, GitHub Copilot, and similar AI-assisted coding platforms.
- Identify opportunities to use AI to improve engineering velocity, code quality, testing, documentation, debugging, and operational efficiency.
- Foster creative and innovative thinking, encouraging the team to go beyond basic execution and continuously improve.
Requirements
- 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.
- Experience hiring, mentoring, nurturing, and developing high-performing engineering teams.
- Strong hands-on background in JavaScript, React, Node.js, Express or similar modern web application development.
- Experience working with databases and designing data-driven applications.
- Experience with AWS cloud services and exposure to serverless architectures.
- Experience with CI/CD practices and tools such as Jenkins, Argo CD.
- Strong understanding of software design, code quality, design reviews, code reviews, and engineering best practices.
- Experience collaborating with Architects, Product Managers, Program Managers, and cross-functional engineering teams.
- Ability to manage delivery, priorities, dependencies, risks, and stakeholder expectations.
- Strong communication, problem-solving, decision-making, and execution skills.
- Experience building customer-facing account management, subscription management, commerce, or SaaS platforms.
- Hands-on or leadership experience with feature-flagging / experimentation platforms (LaunchDarkly or equivalent) and running controlled A/B rollouts.
- Experience with personalization systems — ML-driven content/recommendation surfaces, or rules-based personalization at scale.
- Experience integrating or overseeing conversational AI / LLM-based customer experiences.
- Familiarity with identity/auth flows for account systems (OAuth, 3-legged token flows, federated identity).
- Experience designing and operating scalable, reliable, and secure cloud-native applications.
- Hands-on experience developing proof of concepts and evaluating new technologies.
- Familiarity with AWS Lambda, API Gateway, DynamoDB, RDS, S3, CloudFront, ECS, or similar AWS services.
- Experience with automated testing frameworks and quality engineering practices.
- Experience with GitOps and deployment tools such as Argo CD.
- Familiarity with containerization and orchestration platforms such as Docker, Kubernetes, ECS, or EKS.
- Experience improving developer productivity through automated build, test, security scan, and deployment pipelines.
- Exposure to infrastructure-as-code or cloud automation tools such as Terraform, CloudFormation, or AWS CDK.
- Experience with observability, monitoring, logging, incident response, and production support.
- Comfort managing cross-team dependencies with adjacent platform teams.
- Strong enthusiasm for AI, emerging technologies, and modern software development practices.
- Hands-on experience using AI-assisted coding tools such as Cursor, Claude Code, GitHub Copilot, or similar platforms.
- Experience advocating for responsible AI adoption within engineering teams.
- Ability to balance technical depth, people leadership, delivery execution, and business impact.
- Creative and innovative mindset with a willingness to challenge the status quo and help teams go above and beyond.
Skills
- JavaScript
- React
- Node.js
- Express
- Databases
- AWS
- Serverless technologies
- CI/CD
- Jenkins
- Argo CD
- Feature flagging
- A/B testing
- LaunchDarkly
- Personalization
- Machine Learning
- Conversational AI
- LLM
- OAuth
- 3-legged OAuth
- Docker
- Kubernetes
- ECS
- EKS
- Terraform
- CloudFormation
- AWS CDK
- Observability
- AI-assisted development
- GitHub Copilot
- Cursor
- Claude Code
Location
- Remote
Work Type
- Full-time
Experience Level
- 10+ years of software engineering experience
- 2-4 years of experience in engineering leadership
Education Level
- Bachelor's or Master's degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience
Salary/Compensations
- 140,000 - 205,700 CAD
Benefits
- Annual cash bonuses
- Stock grants
- Comprehensive benefits package
About the Company
- Autodesk's software is used to create buildings, cars, factories, and movies. They help innovators turn ideas into reality and transform what can be made.
- Autodesk has a strong culture that guides how they work, treat each other, connect with customers and partners, and show up in the world.
- Autodesk offers the opportunity to do meaningful work that helps build a better world designed and made for all.
Equal Opportunity
- Autodesk fosters a culture of belonging where everyone can thrive.