Jobs at Autodesk

Work with the Digital Experience Platform team to build applications that improve the Autodesk customer journey. Participate in sprint ceremonies, collaborate with engineering teammates, and learn the team's products and customer experiences.

Manage financial forecasting, quarter-end landing processes, budgeting, planning, and financial modeling for a global renewals sales organization. Partner with sales and finance stakeholders to analyze business initiatives, report results, communicate risks and opportunities, and support strategic decisions. The role also drives improvements to financial reporting, modeling, and process automation across global regions.

Develop and maintain resilient AWS-based microservices, APIs, and frontends for user management and product access. Responsibilities include CI/CD, testing, production support, observability, troubleshooting, deployments, and performance improvements across distributed systems. The role requires collaboration with globally distributed Agile teams and expertise in cloud architecture, event-driven systems, JavaScript technologies, databases, caching, and monitoring.

Build trusted partnerships with People & Places leaders, translate ambiguous workforce questions into decision-ready evidence, and combine quantitative, qualitative, research, data science, and AI capabilities. Interpret signals, develop KPIs, coordinate dashboards and analytical outputs, identify opportunities for durable products, and support handoffs to technical product managers. Mentor insights partners and help establish standards for research rigor, data quality, and ethical employee-data use.

Drive end-to-end delivery of Autodesk’s Generative AI Accelerator, moving AI capabilities from research through production and adoption. Coordinate research, engineering, security, legal, product, and platform teams; manage plans, dependencies, risks, forecasting, reporting, and impediment resolution. Partner with executive stakeholders to shape strategy and sequencing, promote Agile and Lean practices, and support responsible use of AI automation. Requires technical fluency in AI/ML, cloud platforms, distributed systems, and software development lifecycles.

Provides proactive administrative support to the Senior Director of GTM Data & Intelligence and global leadership team. Responsibilities include complex calendar management, executive travel, meeting and event coordination, expense and purchase order tracking, communications, documentation, team information systems, confidential matters, and process improvement. The role requires strong organization, discretion, communication, prioritization, and follow-through in a fast-paced hybrid environment.

Leads complex, enterprise-scale go-to-market transformation programs across Marketing, Sales, Customer Success, Operations, Product, and Technology. Establishes integrated plans, governance, reporting, risk mitigation, and cross-program alignment while partnering with senior executives. Translates strategy into execution, resolves dependencies and blockers, improves PMO methodologies, and mentors program managers in ambiguous, high-visibility environments.

Develop and optimize computer graphics pipelines for gaming, animation, and VFX projects. Integrate Maya and other DCC APIs, automate data processing, support machine learning data workflows, and optimize systems for cloud infrastructure. Collaborate with artists, researchers, and technical teams to debug pipeline issues, manage large datasets, and improve procedural production workflows.

Develop and improve machine learning models for motion prediction and media applications. Responsibilities include reviewing ML research, building experimental pipelines and prototypes, processing large-scale data, training and tuning models, analyzing errors, developing scalable workflows, and collaborating on global research projects. The role requires strong deep learning, statistical ML, programming, algorithms, infrastructure, and software engineering expertise.

Build and maintain scalable backend cloud services and infrastructure for Autodesk AEC data products. Responsibilities include hands-on Java development, distributed systems and REST API design, AWS cloud services, automated testing and deployments, performance optimization, security, documentation, production on-call support, and mentoring developers. The role requires strong expertise in microservices, serverless architecture, databases, CI/CD, infrastructure as code, and secure high-performance enterprise services.

Lead product strategy and roadmap for an AEC Insights & Personalization platform. Define platform capabilities, integrate LLMs/ML, partner with engineering and data science, run customer discovery, set success metrics, and drive data-driven experimentation to deliver personalized, proactive experiences across Autodesk AEC products.

Develop ETL data pipelines, scalable RESTful APIs, and microservices using cloud, big data, streaming, and database technologies. Optimize data processing and query performance, troubleshoot technical issues, ensure data integrity and security, write automated tests, review code, document APIs, and collaborate with engineering, product, analytics, infrastructure, QA, and business teams.

Design and develop scalable backend services, REST APIs, and plugin architecture for Autodesk’s AI Assistant platform. Build secure, reliable, maintainable software using automated testing and test-driven development. Collaborate with architects, product managers, DevOps, and engineering teams; participate in design reviews, mentor developers, troubleshoot complex issues, and recommend technologies that improve quality and productivity.

The Senior Revenue Analyst supports revenue accounting transformation initiatives. Responsibilities include documenting U.S. GAAP and ASC 606 requirements, performing UAT, resolving issues, implementing processes and internal controls, providing accounting guidance, supporting system and business-model changes, and assisting with training and transition activities. The role collaborates with Revenue Accounting, Controllership, system integrators, project managers, developers, and other stakeholders.

Own digital, marketing, and e-commerce analytics projects covering subscription acquisition, retention, and expansion. Analyze and visualize data, create dashboards, identify meaningful insights, align metrics across teams, improve reporting, and communicate concise recommendations to support business decisions. Collaborate with global stakeholders, explore customer behavior and purchase funnel trends, and enable self-service data access and understanding.

Provides technical leadership and hands-on software engineering for Autodesk’s developer portal and application management platform. Responsibilities include architecture, implementation, API and workflow improvements, production operations, engineering excellence, AI-assisted development, cross-team technical direction, and mentoring. The role requires designing scalable distributed systems, resolving complex production issues, influencing decisions across teams, and delivering reliable developer-facing products.

Partner with Marketing, Sales, Operations, Strategy, and other teams to define analytical needs and deliver insights. Analyze customer behavior, product usage, engagement, retention, marketing performance, and operational outcomes using SQL, Python, Snowflake, visualization tools, and AI. Build dashboards and reports, identify trends and opportunities, and communicate practical recommendations to technical and nontechnical stakeholders.

Design, build, test, and maintain backend software features and system components for access controls and core APIs. Diagnose bugs, performance bottlenecks, and system errors; collaborate with distributed teams; and participate in code reviews and pull requests. The role requires backend and distributed systems engineering experience, SQL/PostgreSQL knowledge, strong communication, and the ability to translate complex software problems into technical tasks.

Designs APIs and develops, tests, documents, debugs, and maintains scalable platform software. Collaborates with product, development, DevOps, and support teams; translates business needs into technical requirements; contributes to architecture and roadmap decisions; mentors team members; conducts code reviews; and resolves complex programming, performance, security, and availability challenges. The role emphasizes reusable modules, REST API development, distributed systems, production scalability, and modern software delivery practices.

Build and maintain full-stack features across React web, React Native mobile apps, and Python/Django backend services. Design reliable REST APIs for intermittent connectivity, write well-tested code, contribute to architecture, mentor engineers, participate in on-call support, and improve development workflows. The platform serves construction workers on active job sites and uses PostgreSQL and AWS.