Autodesk

Events

• Own Autodesk’s enterprise event technology architecture spanning registration and access systems, attendee experience platforms, digital and hybrid delivery infrastructure, CRM and MarTech integrations, analytics, identity, and security
• Define the multi-year event technology strategy and future-state architecture aligned to Autodesk’s Events & Experiences vision and broader marketing and digital transformation priorities
• Translate business objectives and experience requirements into scalable, integrated, and secure technology solutions
• Establish enterprise governance models for platform selection, integrations, standards, data flows, naming conventions, and technical approvals
• Evaluate and guide adoption of emerging capabilities including AI-driven personalization, automation, analytics, and content intelligence
• Own the multi-year event technology roadmap , including platform evolution, replacement cycles, consolidation opportunities, and capability expansion
• Lead enterprise RFPs, capability assessments, and vendor evaluations
• Negotiate and manage complex, multi-year vendor agreements including pricing models, usage structures, SLAs, rebates, and performance incentives
• Oversee vendor delivery quality, upgrades, support models, and issue resolution
• Partner with Procurement and Legal on contract architecture, risk language, privacy terms, and renewal strategies
• Maintain architectural accountability for platforms and integrations while delegating onsite operational execution to event operations teams
• Own Autodesk’s event data strategy and master data model across all flagship programs
• Define governance for taxonomies, KPIs, dashboards, and executive reporting
• Govern executive-level reporting on pipeline influence, performance, and ROI
• Ensure global privacy compliance (GDPR, CCPA) and data retention standards
• Serve as the primary event technology partner to IT, Security, Privacy, Compliance, and Legal
• Maintain enterprise documentation for technical operations, risk assessments, and compliance readiness
• Define the global architecture for livestreaming, encoding, redundancy, and time-shifted content delivery
• Partner with Experience Design and Content teams to ensure technology enables creative vision
• Own on-demand publishing workflows, metadata standards, archive infrastructure, and global playback performance
• Enable hybrid-first content models, internal and regional watch parties, and employee access
• Govern accessibility standards including captions, translations, transcripts, and ASL
• Lead, mentor, and develop a team of full-time and contingent event technology professionals
• Define operating rhythms, escalation paths, documentation standards, and cross-functional workflows
• Establish QA and readiness frameworks for platform validation, data integrity, and performance testing
• Build a culture of accountability, proactive risk management, and continuous improvement
• Create long-term resource planning, skills mapping, and talent development strategies
• Lead executive briefings, investment proposals, and business cases for technology initiatives

Director, Events Technology, Data

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
• Develop sales facing content including battle cards, pitch decks, and competitive comparisons
• Serve as a subject matter expert for the Enablement organization

Sales Enablement Content Specialist – AECO

Machine Learning Engineer

• Define the long-term technical vision for Generative AI and Foundation Model infrastructure within the AEC Solutions team.
• Influence architectural decisions across the broader organization.
• Lead the design, development, and delivery of complex ML systems.
• Own the full lifecycle from model architecture selection and data strategy to distributed training and production deployment.
• Drive the development of large-scale training pipelines.
• Collaborate with Research Scientists to translate experimental ideas (custom architectures, novel loss functions) into scalable, performant code.
• Architect solutions for distributed training (e.g., FSDP, Megatron-LM, DeepSpeed) on massive compute clusters.
• Identify and resolve bottlenecks in data processing and model parallelism to maximize training throughput.
• Mentor Principal and Senior engineers, fostering a culture of technical ownership, rigorous experimentation, and best practices.
• Act as a technical partner to Product Management and Engineering leadership.
• Partner effectively with Data Engineering, Platform, and Research teams to integrate large-scale multimodal AEC data (3D geometry, images, text) into model development workflows.
• Establish standards for model evaluation, versioning, monitoring, and MLOps best practices to ensure reproducibility and reliability in a high-stakes production environment.

Senior Principal Machine Learning Engineer, Foundational Models

DevOps Engineer

• Involved in all aspects of software development, working to create and maintain the most reliable, secure, performant, and high-throughput service for our customers by applying cloud technology
• Partner with product managers, product owners, software architects, and other development teams to iteratively turn high-level requirements into product enhancements that are delivered to customers incrementally
• Contribute to software design and architecture by using cloud design patterns and injecting your cloud expertise into the entire development lifecycle
• Contribute to improvements in processes and deliverables that increase the effectiveness of the team in responding to customers and needs
• Document and present your ideas and solutions thoroughly
• Work with some of the smartest, and also teach us
• Experiment, learn, and grow
• Use the latest and greatest cloud technologies
• Deliver code that millions will use
• Mentor and be mentored
• Make key decisions

Senior DevOps Developer – APS Data Models

Digital Marketing

• Execute the Education team’s digital marketing strategy for Flow Studio to drive rapid growth of new student/educator adoption and monthly active users
• Build and execute full-funnel, digital-first tactics across web, email, in-product messaging, social, influencer, and paid channels, informed by SEO, AIO, and social listening insights
• Manage education web pages to optimize customer journeys for self-service adoption and ongoing usage
• Partner closely with cross-functional Autodesk teams including technical marketing, SEO, industry, product, brand, social, GTM programs
• Align plans with key program milestones, integrate feedback loops from student ambassador focus groups
• Drive an organic social strategy that resonates with student creators/animaters/VFX/game designers, leveraging trends, short-form video, and user-generated content
• Develop and inform world-class digital content (blogs, social, short form videos, emails, web pages, tutorials) that drive Flow Studio’s brand awareness and MAU goals
• Partner with student ambassador programs, creator communities, and influencers to expand reach and generate authentic content that resonates with student creators/animaters/VFX/game designers
• Manage agencies to develop best-in-class digital and social content, execute paid media tests across search, social, and display
• Implement experimentation frameworks to rapidly identify winning formats, channels, and content types
• Leverage performance dashboards and reporting to track leading and lagging metrics and identify optimization opportunities
• Experience using AI tools to optimize content and workflow automation—and show measurable ROI from these tools
• A strong understanding of AIO and SEO strategies to generate organic awareness that resonates with our student creator audience and drives adoption

Media & Entertainment Digital Marketer

Product Adoption Specialist

• Deliver live coaching sessions to drive adoption of Autodesk Solutions
• Build, maintain and deliver packaged service offerings to increase customer success and new product adoption
• Conduct discovery meetings to assess customer needs, pain points and desired outcomes
• Deliver digital content via webinars for end users to drive successful adoption of Autodesk solutions
• Develop and update digital content adhering to the CTS standards of quality and consistency, that solves specific customer difficulties
• Design, build, and maintain the packaged service catalogue to increase customer success and new product adoption

Technical Adoption Specialist – Design & Manufacturing

Engineering Manager

• Lead and grow your engineering team fostering a collaborative, sustainable, and high-impact culture
• Coach and grow individual team members, supporting their professional development and guiding the team’s organic expansion as product demands evolve
• Partner closely with product managers, UX designers, and software architects to translate user needs into impactful, customer-facing features

Manager, Software Engineering

Program Manager

• Help design and reinforce the operating rhythms and practices that keep the organization running smoothly and effectively.
• Own Program Rhythms & Operational Excellence: Lead coordination across major strategy workstreams, shaping planning cycles, meeting cadences, and documentation standards that ensure smooth execution and clear accountability
• Be the Cross-Functional Connector: Serve as the central coordination point across Product, Marketing, Sales, and Customer Success – managing dependencies, clarifying owners, and removing blockers to keep initiatives moving quickly and effectively
• Elevate Communication & Alignment: Distill complex program statuses, risks, and decisions into clear, concise communications and executive-level materials (briefs, summaries, presentations) to ensure all stakeholders are informed and aligned on strategic priorities
• Power Strategic Planning: Play a key role in annual and quarterly planning cycles, managing inputs, tracking progress against strategic goals, and coordinating readiness for major initiatives and leadership checkpoints

Frontend Engineer

• Design, develop and maintain frontend applications (JavaScript, React, TypeScript) alongside backend services (Golang, AWS)
• Build and optimize beautifully rendered, web-based components that push performance limits across XR Headsets
• Lead large, complex projects across teams, defining scope, planning execution, and delivering milestones on time
• Collaborate with architects, UX designers, product managers, and stakeholders to translate business requirements into product features
• Shape system design and architecture across cloud and web environments, improving scalability, performance and feel across immersive and 2D environments
• Lead technical discussions, align outcomes with business goals, and document solutions for clarity and adoption
• Stay ahead of emerging trends to anticipate and address future development needs

Principal Software Engineer, Frontend Web

Artificial Intelligence

• Partner with product, research, and industry teams to define Autodesk’s long-term AI strategy for AECO
• Identify, assess, and prioritize high-impact AI use cases across planning, design, construction, and operations
• Develop frameworks that guide investment, differentiation, and integration of AI across Autodesk’s product ecosystem
• Ensure AI initiatives align with the Forma Industry Cloud vision and broader portfolio strategy
• Engage with customers, partners, and innovators to validate AI opportunities and future-state workflows
• Translate technical AI capabilities into clear customer value propositions and outcome-driven use-case narratives
• Build executive-ready strategy briefs, analyses, and recommendations that inform prioritization and resource allocation
• Drive cross-functional alignment on AI direction, ensuring product, GTM, and industry teams execute against shared priorities
• Provide clarity on where AI creates differentiation versus where it scales efficiency or addresses core customer needs
• Work with product and data science teams to ensure AI strategy is grounded in technical feasibility and customer workflow reality
• Partner with GTM, marketing, and industry teams to ensure AI capabilities are positioned clearly and consistently

Senior Manager – AI Strategy

Product Manager

• Develop and communicate a clear product vision and strategy for Forma Data Management
• Engage with stakeholders to gather insights and align priorities
• Create and maintain a detailed product roadmap
• Collaborate closely with engineering, design, and other teams for timely and high-quality releases
• Define and track key performance indicators to measure product success
• Conduct competitive analysis and remain attuned to market trends
• Serve as the product spokesperson internally and externally
• Mentor and guide junior product managers and team members
• Translate product strategy into actionable initiatives and features
• Lead go-to-market activities with Marketing, Sales, Support, and Customer Success teams
• Write comprehensive user stories and acceptance criteria for development team.

Senior Product Manager, Forma Data Management

Full-stack Engineer

• Define and evolve cross-team architecture for data platforms and services in AEC Platform Data organization
• Establish standards, reference architectures, and reusable components; drive adoption across teams in the AEC Platform Data organization
• Lead architectural governance and architectural decision records (ADRs); run design reviews across teams
• Design and guide implementation of distributed systems and data platforms (APIs, schemas, event streams; batch and streaming)
• Ensure reliability, security, and performance; define SLOs and drive observability (metrics, tracing, logging)
• Partner across the AEC organization’s product and platform teams to align roadmaps and integrations
• Communicate architectures with clear views and diagrams (e.g., C4) and executive-ready narratives

Software Architect

• Architect and build scalable, secure cloud-native services and Agentic AI workflows that run in production
• Own the GenAI/ML architecture for production agentic systems: tool-use, orchestration, state/memory, routing, and multi-step workflows
• Define model strategy across prompting, retrieval (RAG), and fine-tuning—making tradeoffs using measurable quality, latency, safety, and cost
• Standardize tool/context integrations across internal systems using MCP-based patterns (or equivalent approaches), enabling teams to ship faster on a shared foundation
• Establish evaluation + observability standards (regression tests, monitoring, feedback loops)
• Set technical direction via reference architectures, best practices, and hands-on technical guidance across teams
• Partner closely with Product, Security/Privacy, and Engineering leaders to deliver high-impact features

Software Architect, Applied AI

Communications

• Own and maintain stakeholder impact analysis for GTM teams; track initiatives, timing, and impact to inform readiness and messaging
• Create and maintain cross-initiative messaging that simplifies complex program changes for diverse audiences
• Draft emails, talking points, FAQs, Slack announcements, and executive summaries for initiative-specific communications
• Develop polished decks, infographics, and one-pagers; maintain templates, tone guidelines, and visual identity alignment; manage a repository of reusable communication assets
• Build and maintain a cross-program communications calendar aligned with training, launches, and milestones
• Analyze existing stakeholder communication forums to identify opportunities for message integration and improved engagement
• Leverage digital platforms (Slack, intranet, email, video) to deliver clear, consistent messaging and enhance stakeholder engagement
• Create compelling visuals and infographics to simplify complex concepts and drive adoption
• Monitor engagement metrics for communications and adjust strategies to maximize reach and impact
• Apply change management principles to stakeholder analysis and communications planning
• Conduct impact assessments and translate findings into actionable communication strategies
• Ensure alignment of messaging with overall change strategy, corporate-wide communications, and program objectives
• Identify risks, anticipate resistance, and support mitigation strategies through targeted communications

Senior Change Management Lead, Communications

Support Engineer

• Assist Autodesk customers on a variety of issues and questions
• Document problems and solutions in short and clear articles for our knowledgebase
• Research, verify, and document product issues
• Manage customer expectations by providing updates on progress