Autodesk

DevOps Engineer

• Lead, coach, and develop a high-performing Platform/DevOps team
• Ensure the delivery of one or more business-critical applications
• Establish SLOs/SLIs, on-call practices, incident response procedures / RCA, and continuous improvement rituals
• Coordinate with product, design, and partner teams
• Promote GitOps and a robust CI/CD pipeline
• Implement end-to-end observability

Engineering Manager, Platform & DevOps

Full-stack Engineer

• Working as part of an Agile, multi-site team on the Concurrency project within Fusion
• Implementing new features, maintaining existing code, and fixing bugs as they arise, in both Fusion’s Desktop and Web-based experiences
• Helping with feature design, and translating design and product requirements into engineering tasks
• Maintaining a high standard of code quality by following best practices around testing, code reviews, and design patterns
• Understanding Agile methodologies, principles and values within the team.
• Participating in team retrospectives and feedback loops to improve on future iterations
• Collaborating and aligning with remotely located teams involved in the project

Software Developer

Program Manager

• Provide operational leadership for Autodesk’s Enterprise Experience program, ensuring alignment between global sales teams and functional partners
• Work with sales leaders to embed the Enterprise Experience program into go-to-market strategies, positioning Autodesk's enterprise offerings as a key driver of customer success
• Champion an outstanding customer experience by ensuring all program activities, processes, and touchpoints consistently deliver value and satisfaction to Autodesk enterprise customers
• Translate strategic objectives into concrete workflows and reproducible frameworks that scale effectively and support program goals
• Establish and manage program governance and operating rhythm, including updates, communications cadence, and milestone tracking
• Collaborate with cross-functional domain leads and subject-matter experts across the company to coordinate implementation, resolve dependencies, and ensure consistent execution
• Promote a systems approach by connecting people, processes, and data to strengthen collaboration and customer outcomes
• Ensure the development and evolution of key program processes, guides, and toolkits for the Enterprise Experience
• Identify and address gaps or inefficiencies in workflows, recommending and implementing improvements that increase agility, visibility, and efficiency
• Keep program documentation, templates, and reference materials up to date to ensure consistency and enable onboarding
• Act as a change agent by encouraging adoption of best practices and instilling a continuous improvement mindset across international teams
• Lead program analytics and performance reporting, coordinating the development of dashboards and KPIs to track engagement, adoption, and impact
• Provide data-driven insights to guide strategic decision-making, resource allocation, and program evolution
• Translate complex data into clear, actionable narratives that communicate program progress and outcomes to stakeholders and leadership
• Ensure concise, consistent, and transparent communication among program participants, account teams, and executives
• Facilitate cross-functional alignment by bringing marketing, sales, operations, and customer success teams together around common objectives
• Build trusted relationships at all levels and across functions, influencing outcomes through collaboration and clarity rather than authority
• Support preparation of executive-ready documents and briefings that clearly present program performance, insights, and strategic direction

Senior Program Manager, Enterprise Experience

Strategy

• Manage and lead research and analysis and provide insights-based guidance to management
• Work autonomously and leverage cross-functional experts
• Partner with stakeholders across teams
• Define, build and work with analytical models
• Create compelling presentations to share insights and drive change
• Build strong internal networks in a matrixed environment
• Further insights into market developments and risks
• Act as a center of excellence for industry insights
• Deliver process improvements

Business Strategy Manager – Manufacturing

Product Manager

• Définir la vision, la stratégie et la feuille de route de la plateforme d'expérimentation, en veillant à leur alignement avec les objectifs commerciaux et les résultats en matière d'expérience client
• Construire et faire évoluer une plateforme en libre-service pour les spécialistes du marketing, permettant aux utilisateurs non techniques de lancer, gérer et mesurer des campagnes de manière indépendante
• Promouvoir l'expérimentation à grande échelle en développant des outils et des processus qui permettent aux équipes de tester des hypothèses et d'optimiser les expériences avec rapidité et rigueur
• Traduire les besoins commerciaux en solutions produits basées sur l'IA qui rationalisent les flux de travail pour les spécialistes du marketing, les équipes produit et les utilisateurs professionnels
• Collaborer de manière transversale avec les équipes de conception, d'ingénierie, de science des données et de marketing afin de fournir des fonctionnalités à fort impact qui allient facilité d'utilisation et excellence technique
• Mesurer le succès à travers l'adoption, la productivité des spécialistes du marketing, la fiabilité de la plateforme et les résultats commerciaux (augmentation du taux de conversion, engagement, impact de la personnalisation)
• Façonner l'avenir de la manière dont les équipes marketing expérimentent, personnalisent et fournissent des expériences
• Travailler dans un environnement dynamique et hautement collaboratif offrant des opportunités d'avoir un impact significatif
• Diriger un domaine de produits essentiel à la croissance, à l'engagement des clients et à l'innovation de la plateforme.

Senior Product Manager, Experimentation Platform

• Develop automated tests for backend services and UI workflows using C++ frameworks and modern web automation tools (Playwright/Selenium/Cypress)
• Extend test automation solutions to support new testing scenarios
• Build comprehensive test suites for critical product workflows
• Create web automation solutions for complex UI scenarios
• Implement API test automation for cloud services and microservices
• Collaborate with the engineering team to automate high-value manual test cases
• Leverage AI/ML tools to accelerate test development
• Optimize test execution through parallelization and efficient test design patterns

Senior Software Development Engineer

• Design and implement a comprehensive end-to-end test automation framework for Fusion 360 regionalization testing across multiple geographical regions
• Architect and implement multi-region test infrastructure with CI/CD pipelines for parallel test execution, automated deployment, and real-time reporting
• Develop Infrastructure as Code (Terraform, Ansible) for automated test environment provisioning and configuration management
• Establish automation excellence through hands-on mentorship, creating reusable frameworks, coding standards, and technical documentation
• Integrate AI/ML capabilities into test automation workflows

Principal Engineer

Customer Support

• Support our customers by live chat, email, and phone.
• Interactions include troubleshooting technical issues, product usage questions, onboarding, setup and subscription inquiries.
• Act as a mentor and escalation point for Customer Support Associates regarding product, high-risk tickets, and process information.
• Coach new team members on product, processes, and best practices.
• Collaborate with other teams to ensure quality interactions and promote the voice of the customer.

Senior Customer Support Associate

AI Engineer

• Lead AI Architecture & Strategy
• Define the long-term AI architecture and technical vision for construction solutions
• Establish scalable architecture patterns and standards for AI systems
• Bring together GenAI, machine learning, and rule-based systems into cohesive platforms
• Ensure AI initiatives deliver measurable business and customer value
• Opportunity to shape AI strategy for construction at global scale
• Solve novel, high-impact problems in a mission-critical industry
• Design Agentic & Assistant-Based Experiences
• Architect the evolution of an AI-powered Construction Assistant
• Design multi-agent AI workflows that plan, reason, validate, and act
• Define MCP-based orchestration and agent-to-agent collaboration patterns
• Integrate Construction Assistant experiences across shared AI platforms
• Define agent governance models for memory, planning, safety, and escalation
• Build Modern AI & ML Systems
• Modernize and scale existing ML solutions into a unified AI framework
• Define best practices for LLMs, prompting, tool use, and retrieval
• Apply classical ML for forecasting, optimization, risk detection, and prediction
• Design hybrid reasoning systems combining ML, rules, and generative AI
• Guide model evaluation, monitoring, and continuous improvement
• Bring Deep Construction Intelligence to AI
• Architect construction-specific ontologies, knowledge graphs, and reasoning frameworks
• Model relationships across scope, schedule, cost, risk, contracts, and resources
• Enable domain-aware AI that understands construction workflows and trade complexity
• Solve domain-specific challenges that generic AI platforms cannot
• Influence at Enterprise Scale
• Partner with Platform Services teams on shared AI infrastructure
• Align Construction AI systems with enterprise Trusted AI, security, privacy, and compliance frameworks
• Drive reuse of platform capabilities while enabling domain-specific innovation
• Influence platform AI roadmap based on construction use cases and requirements

Distinguished AI Architect – AEC Construction

Security Engineer

• Diriger la conception et la mise en œuvre de solutions de plateformes de données évolutives et sécurisées
• Collaborer avec les équipes produit, architecture, ingénierie et sécurité afin de traduire les exigences en solutions techniques de haute qualité
• Participer à la modélisation des menaces et aider les équipes à atténuer les risques
• Construire et maintenir des systèmes qui prennent en charge la surveillance de la sécurité et la détection des anomalies
• Planifier et livrer des versions logicielles à l'aide de méthodologies Agile

Principal Software Developer – Security

• Apply your understanding of AEC workflows and AEC data models to develop a comprehensive strategy for AI foundation models for AEC
• Collaborate with customers, partners, and internal Experience and Strategy teams to understand pain points and requirements
• Translate insights into use cases and workflows that address customer needs
• Communicate system updates and strategy to partners, including executives
• Work with a diverse Research and Engineering team to explore AI algorithms and technologies
• Track project progress and technical specifications
• Help AI researchers and ML engineers prioritize their backlog

• Own and Evolve Core Microservices: Take charge of essential microservices that form the backbone of our data platform, working within a professional Scrum team
• Deliver High-Quality Code: Write clean, efficient, and maintainable code that meets our rigorous engineering standards
• Drive Performance and Scalability: Proactively identify and resolve issues related to performance, stability, and scalability, ensuring our systems are robust and future-ready
• Champion Test Automation: Contribute to our automated testing efforts, ensuring reliability and quality at every stage
• Collaborate Across Teams: Work closely with Product Owners, Scrum Masters, and fellow developers to turn requirements into high-impact microservices that delight our customers
• Innovate and Experiment: Research and prototype new technologies and patterns to keep our backend architecture at the cutting edge
• Deliver Results: Focus on quality and customer satisfaction as you help us meet and exceed our product goals

Senior Software Engineer

Machine Learning Engineer

• Set the technical vision for 3D data retrieval and representation learning across Autodesk’s AEC AI initiatives
• Influence short- and long-term investments in models, data infrastructure, and ML systems
• Identify architectural gaps and scalability bottlenecks, and drive cross-team alignment on long-term solutions
• Design and implement new ML models for 3D data understanding and retrieval, including geometric embeddings and multimodal representations
• Apply advanced techniques such as self-supervised learning, weak supervision, and active learning to leverage large volumes of unlabeled design data
• Optimize data representations and feature extraction pipelines for downstream model performance and retrieval quality
• Architect and own production-grade ML pipelines, orchestrated with Airflow, supporting large-scale data preprocessing, model training and fine-tuning, evaluation and deployment workflows
• Build scalable systems on AWS, including integration with SageMaker and distributed training or data processing frameworks
• Establish best practices for model experimentation, versioning, evaluation, and monitoring in high-throughput environments
• Lead the development of intelligent data processing systems that transform unstructured 3D, text, and image data into ML-ready formats
• Own the model/data feedback loop, monitoring quality, diagnosing failure modes, and guiding iterative improvements based on real-world usage
• Collaborate with data engineers and applied scientists to ensure data quality, lineage, and reproducibility
• Work closely with AI researchers, software architects, and product teams to integrate models into customer-facing workflows
• Mentor and guide ML engineers, raising the technical bar and fostering a culture of ownership, rigor, and curiosity
• Communicate complex technical ideas clearly through documentation, design reviews, and cross-functional presentations

Principal Machine Learning Engineer, 3D Data, Generative AI Systems

Content Marketing Manager

• Translate product value propositions and industry narratives into differentiated, sales-ready messaging
• Work closely with product marketing to develop differentiated, sales ready industry-specific messaging and positioning
• Develop sales facing content including battle cards, pitch decks, product one-pagers, talk tracks, competitive comparisons, customer stories, and industry-specific playbooks.
• Serve as a subject matter expert for the Enablement organization, translating complex topics into clear, actionable content

Sales Enablement Content Specialist – D&M

• Lead and coordinate the AI executive leadership team
• Ensure consistency and alignment of discussions
• Create materials ready for executive presentation
• Identify risks and obstacles early