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LightTable builds AI that understands documents behind large commercial and data center projects, helping project teams make better decisions earlier. The company recently closed Colorado's largest Series A for an AI software company and counts some of the world's largest general contractors and data center builders as active users.
As AEC Product Lead, you are the architecture, engineering, and construction (AEC) industry's voice in Product and Engineering. You bring deep domain experience to define what LightTable builds and how it works. You own the AEC side of the product roadmap, deciding which problems across the project lifecycle are worth solving and making the case to leadership and AI Engineering for priorities.
Key responsibilities include:
- Own the AEC roadmap and decide which problems to solve across the project lifecycle
- Turn AEC practice into software designs by identifying industry problems, domain logic, and acceptance criteria for engineers
- Collaborate with Software Engineering on planning, reviews, and testing against real project documents
- Expand product capabilities as LightTable takes on new document types, project phases, and stakeholders
- Conduct field research with developers, contractors, architects, and engineers on live projects
- Synthesize feedback from AEC Specialists, Engagement Managers, and Support; own the feedback log and close loops
- Define and measure output quality standards for each AI capability
- Equip Go-to-Market teams with roadmap context, release notes, and training
- Represent LightTable with customers, partners, and the wider AEC community
You will report to the VP of AEC and work embedded with Product and Software Engineering. Success in six months means software engineers trust your judgment on what project documents mean, customers trust the product reflects how they actually make decisions, you've established an adopted roadmap with new capabilities customers use as intended, you've defined clear quality standards for AI outputs, and you've built a feedback loop with regular discovery time on live projects.
REQUIREMENTS:
- Bachelor's or master's degree in architecture, engineering, construction management, or related field
- 8+ years in architecture, engineering, or with a general contractor, owner/developer, or owner's representative on large commercial, mission-critical, or data center projects
- Hands-on work across multiple project phases (feasibility, design, buyout, procurement, construction, turnover)
- Understanding of development process from multiple stakeholder perspectives
- Ability to read drawings, specs, contracts, schedules, and submittals as an integrated picture
- Experience defining what a tool, process, or standard should do and getting it built (at software company, internal tech group, or firm-wide standards)
- Comfort with technical conversations about data, logic, and tradeoffs; ability to reason about system interpretation and predict failure modes
- Exceptional customer discovery skills; ability to uncover root problems and separate stated requests from actual behavior
- Strong communication skills translating practitioner insight into product direction and business value for different audiences
- Hands-on experience with AI and conviction about how it will change project delivery
NICE TO HAVE:
- Professional licensure (RA, PE) or equivalent credentials
- Product management, product ownership, or solutions experience at construction tech company
- Owner or developer-side experience in feasibility, basis of design, procurement, contracts
- Data center or hyperscaler project experience with MEP-heavy and OFCI-driven coordination
- Experience building firm standards, BIM execution plans, or preconstruction programs at scale
- Fluency with Bluebeam, Procore, Autodesk Construction Cloud, Revit, Navisworks, Primavera P6
- Familiarity with AI system evaluation (precision, recall, test sets, ground truth)
