Senior Product Manager, Construction AI

Autodesk•AMER - United States - California - Offsite/Home, CA

4d•$149,000 - $266,200

About The Position

As a Senior Product Manager, Construction AI, you will lead a portfolio of AI assistant workflows across Autodesk Construction Cloud. You will work at the intersection of construction domain expertise, AI/ML capabilities, customer workflows, platform services, and product execution. You will be responsible for identifying the highest-value customer problems, shaping product strategy, defining requirements, prioritizing roadmap investments, and partnering with engineering, design, data science, research, legal, trust, GTM, and customer-facing teams to deliver trusted AI experiences at scale. This is a high-ambiguity, high-impact role for someone who can translate construction workflows into AI product opportunities, balance innovation with responsible AI practices, and drive execution across complex cross-functional teams.

Requirements

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

Nice To Haves

Direct experience building AI assistants, copilots, agents, workflow automation, document intelligence, search, knowledge graph, or enterprise AI products
Deep familiarity with Autodesk Construction Cloud, Procore, Trimble, Bentley, Nemetschek, Oracle Primavera, or other construction technology platforms
Experience with construction workflows such as RFIs, submittals, specifications, issues, schedules, drawings, models, takeoff, estimating, change management, or field execution
Experience working with contractors, owners, architects, engineers, VDC/BIM teams, or construction administrators
Experience defining AI evaluation frameworks, quality metrics, ground-truth datasets, or model/product acceptance criteria
Experience launching products in enterprise environments with privacy, security, compliance, permissioning, and governance requirements
Strong product judgment in deciding when to use AI automation, AI assistance, deterministic workflow, rules-based systems, or human review
Ability to engage credibly with technical teams on architecture, data pipelines, APIs, model orchestration, MCP-style integrations, cost/performance tradeoffs, and platform scalability

Responsibilities

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