Software Development Manager

Software Development Manager

Position Overview

Autodesk is looking for an experienced Software Development Manager to lead a high-performing engineering team within the Growth Experience Technology (GET) organization. The team builds and operates the post-purchase account experience — the customer-facing platforms that power account management, subscription management, personalization, and experimentation for customers after they've purchased. This includes the Account Portal, voluntary churn and retention flows, and the personalization/experimentation infrastructure that underpins them.

Job Requisition ID #

26WD100656

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 rather than sprint-to-sprint re-scoping
• 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 (from legacy "experience service" architecture)
• Guide the team's experimentation platform work — feature flagging and A/B testing via LaunchDarkly, identity/session handling via Oxygen ID and 3-legged OAuth token flows
• Guide personalization capability for post-purchase account experiences — ML-driven and rules-driven surfaces (e.g., tailored account/learn content, subscription recommendations)
• Provide technical direction for conversational‑AI-powered account flows (e.g., AI‑assisted cancellation/retention experiences), including safe experiment ramps, event instrumentation, and cross‑system fallback handling (support/sales handoff)
• 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 — including applying it to customer‑facing personalization and experimentation, not just internal dev workflows
• Foster creative and innovative thinking, encouraging the team to go beyond basic execution and continuously improve

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
• 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