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Autodesk

Senior Product Manager, Construction AI

Autodesk

Senior Product Manager leading AI assistant workflows across Autodesk Construction Cloud. Responsible for product strategy, requirements, and collaborating with cross-functional teams to deliver AI experiences.

Posted 6/19/2026full-timeRemote • California • 🇺🇸 United StatesSenior💰 $149,000 - $266,200 per yearWebsite

Tech Stack

Tools & technologies
Cloud

About the role

Key responsibilities & impact
  • Define and own the product vision, strategy, and roadmap for Construction AI assistant workflows across Autodesk Construction Cloud
  • Translate customer pain points, market signals, AI capabilities, and business priorities into a clear, sequenced roadmap
  • Prioritize opportunities across answer-finding, project intelligence, workflow automation, document understanding, drawing/model interactions, and agentic actions
  • Identify where AI can create differentiated customer value versus where deterministic workflow, rules, UX, or platform improvements are more appropriate
  • Partner with product leadership to align Construction AI investments with Autodesk’s broader platform, data, and AI strategy
  • Develop deep understanding of construction personas, including project managers, superintendents, VDC/BIM teams, project engineers, estimators, document controllers, account/project admins, and executives
  • Conduct customer discovery to identify workflows where AI can reduce search time, rework, risk, delay, and administrative burden
  • Build fluency in construction documents and workflows such as RFIs, submittals, specifications, issues, meetings, schedules, drawings, models, change orders, and project administration
  • Monitor construction technology, AI assistant, agentic workflow, and construction automation trends to identify opportunities and competitive threats
  • Represent the voice of the customer in product, engineering, data science, and executive discussions
  • Partner closely with engineering, data science, design, and architecture teams to define AI-powered assistant experiences from concept through launch
  • Write clear product requirements, user stories, success criteria, model behavior expectations, and acceptance criteria for AI workflows
  • Collaborate on AI evaluation methods, prompt and agent behavior, retrieval quality, grounding, permissions, observability, and model performance
  • Ensure AI experiences are useful in real construction practice, not merely technically correct
  • Define product requirements for responsible AI, including transparency, user control, provenance, escalation paths, quality thresholds, and human-in-the-loop review
  • Work with platform and data teams to leverage construction knowledge graphs, project context, permissions, and workflow data to improve assistant quality and trust
  • Lead cross-functional product execution from discovery through beta, GA, adoption, and iteration
  • Make difficult roadmap tradeoffs using customer impact, technical feasibility, AI readiness, business value, risk, cost, and adoption data
  • Partner with design to create intuitive assistant and automation experiences embedded directly into customer workflows
  • Partner with engineering to manage dependencies, sequencing, release planning, technical constraints, and operational readiness
  • Partner with Trust, Legal, Privacy, Security, and Responsible AI teams to ensure AI capabilities meet Autodesk standards and customer expectations
  • Drive product launches in partnership with Product Marketing, Sales, Customer Success, Support, Enablement, and field teams
  • Define success metrics for AI assistant workflows, including adoption, task completion, answer quality, automation success, time saved, customer satisfaction, trust, retention, and business impact
  • Use product analytics, customer feedback, model evaluation, support signals, and field input to guide roadmap decisions
  • Establish feedback loops that continuously improve AI quality, usability, and workflow relevance
  • Communicate product performance, roadmap progress, risks, and tradeoffs clearly to stakeholders and senior leaders
  • Establish a clear, compelling roadmap for Construction AI assistant workflows
  • Build alignment across product, engineering, data science, design, GTM, and leadership
  • Deliver measurable progress on one or more high-value assistant or agentic workflow areas
  • Improve clarity around where AI should answer, recommend, automate, or defer to a human
  • Define repeatable product patterns for trusted AI workflows in construction
  • Increase customer confidence, usage, and adoption of Autodesk’s Construction AI portfolio.

Requirements

What you’ll need
  • 5+ years of product management experience in B2B SaaS, enterprise software, AI/ML products, construction technology, or related domains
  • Demonstrated experience owning product vision, roadmap, prioritization, requirements, and execution for complex products
  • Experience working with engineering, design, data science, research, and go-to-market teams in a cross-functional product development environment
  • Strong understanding of AI/ML product concepts, including LLMs, retrieval-augmented generation, prompt behavior, AI evaluation, model quality, human-in-the-loop workflows, and responsible AI considerations
  • Ability to translate ambiguous customer problems into clear product strategy, requirements, milestones, and measurable outcomes
  • Strong analytical skills and experience defining metrics to evaluate product success
  • Excellent communication and stakeholder management skills, including the ability to influence senior leaders and align teams around tradeoffs
  • Familiarity with construction workflows, construction project data, or construction technology.

Benefits

Comp & perks
  • Health and financial benefits
  • Time away and everyday wellness

ATS Keywords

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Hard Skills & Tools
product managementAI/ML productsroadmap prioritizationrequirements definitionproduct analyticsmetrics evaluationhuman-in-the-loop workflowsresponsible AIworkflow automationconstruction technology
Soft Skills
communicationstakeholder managementanalytical skillsinfluencecross-functional collaborationcustomer discoveryproblem-solvingstrategic thinkingleadershipalignment