AEC Product Lead

About the Company

LightTable builds AI that understands the documents behind large commercial and data center projects, helping the project teams make better decisions earlier. We recently closed the largest Series A investment round of any AI software company in Colorado history, and some of the world’s largest GCs and data center builders are actively using LightTable

We move fast, we care about the product fit, and we build with AI. We do this not just for our customers, but internally too. You’ll find a hard working team that gives you an incredible opportunity to quickly grow in your career.

The Role

Every large project is a chain of decisions made with incomplete information, by people who can't see how one choice ripples into cost, schedule and risk somewhere else. You have lived that. As AEC Product Lead, you bring that experience to help our AI team decide what LightTable builds and how it all works.

You are the AEC industry's voice in Product and Engineering. You know which decisions matter most on a project, the inputs that drive them and the team needed to make them well. You work with AI engineers so LightTable software reflects how projects are actually developed, designed, bought out and built. We are not automating the old process. We are building a new way to run projects, and you will help define what it looks like.

What You'll Do

• Own the AEC side of the roadmap. Decide which problems across the project lifecycle are worth solving. Make the case to leadership and AI Engineering for what comes next. Iterate with AI engineers, where most of the thinking on what the product should do and what it implies is yours.

• Turn AEC practice into software designs. Identify industry problems, domain logic and acceptance criteria engineers build against. When the question is "what should the product do, what do you want AI to solve?", you answer it.

• Collaborate with Software Engineering. Join planning and reviews, test what's built against real project documents and real decisions, and judge whether an output is right, noisy or missing before a customer ever sees it.

• Expand what the product understands. As LightTable takes on new document types, project phases and stakeholders, define successful outputs in practice: what a practitioner needs to see to act.

• Go to the field. Sit with developers, contractors, architects and engineers on live projects. Watch how decisions really get made, where the product fits and bring back specific, prioritized input.

• Run the feedback loop. Synthesize what AEC Specialists, Engagement Managers and Support learn across pilots and enterprise accounts. Own feedback log, route every gap with the stakeholders and documents that caused it, and close the loop with whoever raised it.

• Own output quality. Define what right, wrong and missing mean for each capability, measure it on live accounts, and drive the changes that move it.

• Equip Go-to-Market (Sales). Give the account executives and AEC Specialists the roadmap context, release notes and training they need to represent the product well, and join customer conversations as needed.

• Shape the industry conversation. Represent LightTable with customers, partners and the wider AEC community as a practitioner who understands how the industry works today and where AI is taking it.

Reporting

This role reports to the VP of AEC and works embedded with Product and Software Engineering. Engineering owns how the product is built and leadership owns commercial priorities. You work closely with AEC Specialists, Engagement Managers and Account Executives, who are both your best source of field insight and the first audience for product direction.

What Success Looks Like in 6 Months

Software engineers trust your judgment on what a project's documents mean and what a team needs from them. Customers trust that the product reflects how they actually make decisions.

• Product roadmap: a roadmap that leadership and Engineering have adopted. New capabilities customers use as intended rather than work around.

• Output quality: a clear standard for how we measure the quality of new AI outputs in features you own

• Customer insight: feedback that Product and Engineering work from; regular discovery time on live projects, visible in the roadmap; a field team that sees its feedback acted on.

What We're Looking For

• Education: Bachelor's or master's degree in architecture, engineering, construction management or a related field.

• Experience: 8+ years in architecture,

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