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, engineering, or with a general contractor, owner/developer or owner's representative on large commercial, mission-critical or data center projects.
Lifecycle fluency: Hands-on work across more than one phase of a project, from feasibility and design through buyout, procurement, construction and turnover. You know how a decision in one phase becomes a cost, delay or dispute in another, and what information would have changed it.
Multi-stakeholder perspective: You understand the development process from more than one seat at the table, and why each party acts the way it does.
Document depth: You read drawings, specs, contracts, schedules and submittals as one connected picture, and you can tell a real problem from noise a project team will learn to ignore.
Product judgment: You have defined what a tool, process or standard should do and gotten it built, whether at a software company, in an internal technology group, or by driving firm-wide standards. You write clear problem statements and say no to the wrong solution.
Engineering partnership: Comfortable in technical conversations about data, logic and tradeoffs. You don't need to code, but you can reason about how a system interprets project information and predict where it will go wrong.
Customer discovery: Exceptional listening and questioning. You uncover the root problem beneath the stated request and separate what people say from what they do.
Communication: You translate practitioner insight into product direction and business value, and adapt the message for engineers, practitioners and executives.
AI conviction: Hands-on with AI. We’re looking for someone who thinks about how AI will change the way projects are run.

Nice to Have

Professional licensure (RA, PE) or equivalent industry credentials.
Product management, product ownership or solutions experience at a construction technology company.
Owner or developer-side experience: feasibility, basis of design, procurement and contract decisions.
Data center or hyperscaler project experience, including MEP-heavy and OFCI-driven coordination.
Experience building firm standards, BIM execution plans or preconstruction programs at scale.
Fluency with the tools project teams already use: Bluebeam, Procore, Autodesk Construction Cloud, Revit, Navisworks, Primavera P6.
Familiarity with how AI systems are evaluated: precision, recall, test sets and what ground truth means in practice.

Why Join LightTable AI?

Build an AI-first product alongside world-class AI engineers and experienced founders, partnering with some of the largest developers and GCs in the world.
Shape the product directly. You are the first dedicated product voice from the industry, and your judgment will set direction as the product grows well beyond where it started.
Ground-floor opportunity with meaningful equity in a fast-growing company.
Real impact: we are bringing change to a slow-adapting industry, and the impact is real.
Benefits: comprehensive healthcare, equity grants, take-what-you-need PTO, and a collaborative, mission-driven culture.

LightTable participates in the federal E-Verify program. As required, we will verify the identity and employment eligibility of all newly hired employees through E-Verify.

About the company

LightTable AI builds an AI-native platform that automates peer review of real estate and construction design documents. It ingests large sets of drawings and specifications to automatically flag coordination issues that often trigger expensive RFIs and project delays. By unifying preconstruction checks across disciplines, it aims to compress a usually multi-week process into under an hour, improving accuracy for pricing and scheduling while reducing risk for developers, architects, and contractors. The company differentiates itself by starting with peer review as an entry point and expanding into value engineering, estimating, and permitting, positioning LightTable as an operating system for preconstruction workflows in the AEC industry.

Company Size

11-50

Company Stage

Series A

Total Funding

$30.2M

Headquarters

Denver, Colorado

Founded

2024

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Simplify's Take

What believers are saying

May 27, 2026 Series A raised $22 million, enabling faster hiring and product expansion.
LightTable reviewed 20 million square feet and $3.5 billion in projects since 2025.
June 2026 LoDo headquarters expansion shows momentum and continuing Denver hiring demand.

What critics are saying

Autodesk and Navisworks bundle adjacent capabilities, compressing LightTable’s differentiation by 2027.
Construction teams distrust AI errors in safety-critical reviews, slowing enterprise rollouts and renewals.
If a major project misses defects, liability fallout can permanently freeze adoption.

What makes LightTable AI unique

LightTable’s multimodal AI reviews drawings, specs, and checklists across 35+ scopes.
Denver headquarters and 2026 Series A from Innovation Endeavors signal category conviction.
Customers like Suffolk, Mill Creek Residential, and Swire validate enterprise-grade preconstruction workflows.

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Benefits

Health Insurance
Unlimited Paid Time Off
Company Equity

Growth & Insights and Company News

Headcount

6 month growth

1 year growth

2 year growth

Downtown Denver Partnership

Jul 16th, 2026

June 2026 data update | A month of energy, events & summer activations.

June 2026 data update | A month of energy, events & summer activations. With summer in full swing, downtown was buzzing with activity in June. Major events and activations, like the Soccer Celebrations held at VISA Street Soccer mini-pitch in Skyline Park for the FIFA World Cup, Pride on 16th Street, the Skynets over Downtown installation and the pop-up basketball court in partnership with DaVita honoring the Transplant games of America drew hundreds of thousands of visitors downtown despite the summer heat. This strong activity was reflected in visitation data. 16th Street's average daily activity increased by 11%, which is an increase of 30,000 more total visits compared to June of last year. Downtown's hospitality sector also continued to strengthen, with hotel occupancy rising from 69% to 72% year-over-year in May. Revenue per available room (RevPAR) increased from $151 in May 2025 to $168 in May 2026. Downtown Denver's office market closed the second quarter of 2026 with a vacancy rate of 29%, a trend that has remained relatively flat over the past 12 months. Net absorption totaled -16,780 sqft and leasing activity reached nearly 500,000 sqft during the quarter. Notable lease activity included outdoor apparel startup Halfdays relocating and expanding its headquarters from RiNo to downtown; Cooper Carry, an architecture firm moving from Boulder; and LightTable, an AI-for-developers startup expanding from its former space at Venture X into a full-scale headquarters in LoDo. Downtown has welcomed 34 new businesses since the beginning of 2026. June openings included Friends & Co. Coffee inside of Rise Comedy Club in the Ballpark neighborhood. Sundae Scoop debuted their flagship location off 16th Street and a second location for Javai Coffee Kiosk opened in Upper Downtown. Additionally, Tavern on Blake reopened under new ownership and branding. For full charts, data visualizations, and deeper analysis, explore the complete June 2026 High Frequency Report. For data inquiries, please contact Analise Lajeunesse. For media inquiries, reach out to Britt Diehl.

SuperbCrew

Jun 1st, 2026

LightTable raises $22M in Series A funding led by Innovation Endeavors.

LightTable raises $22M in Series A funding led by Innovation Endeavors. LightTable, a Denver-based AI native platform for pre-construction quality assurance and quality control (QA/QC), announced a $22 million Series A funding round. LightTable's $22 million round was led by Innovation Endeavors, with participation from new investors Blackhorn Ventures, DivcoWest Ventures, and 9Yards Capital, alongside existing backers Primary Venture Partners, MetaProp, and Banter Capital. This brings the company's total funding to approximately $28 million since its $6 million seed round in August/September 2025. What is LightTable? LightTable positions itself as an "AI native center of intelligence" for pre-construction. Its core platform uses multimodal AI to analyze construction drawings, specifications, checklists, and related documents. It identifies coordination issues, constructability problems, errors, and omissions across more than 35 scopes (architectural, structural, MEP, civil, etc.). Key workflow: * Users upload documents. * AI surfaces high priority issues. * Expert validated insights support resolution with collaboration tools (comments, tracking, history). Differentiation from traditional peer reviews includes faster processing (average first findings in ~4 hours, full reviews in 3-5 days vs. weeks), higher detection rates (~70% of design errors vs. ~30% for human only reviews), and continuous learning from user feedback for personalized prioritization. The platform targets developers, general contractors, architects, and owners, emphasizing early risk mitigation to reduce RFIs (Requests for Information) and change orders during construction. Since emerging from stealth in mid 2025, LightTable has achieved notable early adoption: * Reviewed over 20 million square feet of construction documents. * Covered $3.5 billion to $10B+ in total project costs (figures vary slightly across reports). * Customers include industry players such as Mill Creek Residential, Swire, DivcoWest, and others like Suffolk. Testimonials highlight catching thousands of issues that would otherwise be missed. This rapid scale in under a year signals strong product market fit in a fragmented, high stakes industry. The construction industry faces chronic inefficiencies in pre-construction coordination. Rework due to design errors, poor communication, and miscoordination typically accounts for 5-10% (or more) of total project costs, with U.S. annual losses from poor data and miscommunication estimated at $31 billion+. Globally, risk management and waste in document quality failures exceed $200 billion annually. RFIs and change orders add significant overhead (e.g., ~$1,000+ per RFI in processing alone, plus direct rework costs). LightTable directly targets these by shifting quality control earlier, potentially delivering substantial ROI through reduced delays, budget overruns, and waste. The rise of complex, multi stakeholder projects amplifies these issues, creating demand for AI tools that integrate fragmented document sets and provide "expert in the loop" validation. The $22M round reflects investor confidence in vertical AI applications for traditional industries. Innovation Endeavors (led by Eric Schmidt's network) and proptech/real estate focused funds like DivcoWest Ventures, MetaProp, and Blackhorn see LightTable as a scalable solution to a massive, addressable pain point. Use of proceeds: Scale the QA/QC product, expand the team (engineering, sales, domain experts), enhance AI capabilities, and introduce new tools for broader pre-construction workflows. Plans include U.S. growth and potential international expansion. The quick progression from seed to Series A in ~9 months, combined with strong early metrics, validates the model's defensibility through domain specific AI trained on building logic and user feedback loops. Leadership and Founding Team * Paul Zeckser (CEO & Co-founder): Extensive product leadership experience, including SVP of Product at HomeAdvisor (Angi) and CPO at Sealed. Background in scaling tech for real estate and contractor workflows. * Dan Becker, PhD (CTO): AI expertise from Google Cloud, DataRobot, and founding Decision.ai. * Ben Waters, AIA (Co-founder): Architect with experience at firms like Gensler and SOM, providing deep domain knowledge. The team's blend of AEC (architecture, engineering, construction) expertise, enterprise AI, and proven SaaS scaling is a key strength. LightTable operates in the growing ConTech/proptech AI space, competing with traditional peer review processes, BIM/clash detection tools (e.g., Autodesk, Navisworks), and emerging AI document reviewers. Its multimodal focus on drawings + specs + checklists, combined with human-AI collaboration and rapid iteration, provides differentiation. Potential challenges: * Adoption cycles in construction can be lengthy due to risk aversion and project based workflows. * AI accuracy and hallucination risks in safety-critical domains require robust validation. * Economic sensitivity: Construction spending fluctuates with interest rates and real estate markets. * Data privacy and integration with legacy systems. This funding positions LightTable to accelerate from early traction to broader category leadership in pre-construction intelligence. Success could expand it into a fuller "operating system" for design and construction coordination, capturing recurring revenue through per project or subscription models tied to project value or square footage. In a market hungry for measurable efficiency gains amid labor shortages, rising material costs, and complexity, LightTable exemplifies how domain grounded AI can deliver outsized value. The round underscores continued VC appetite for AI startups that solve tangible, billion dollar industrial problems rather than hype driven applications. With strong metrics and backers, the company is well placed for further growth, potential additional tooling, and deeper market penetration in 2026 and beyond. Please email Superbcrew your feedback and news tips at hello(at)superbcrew.com

Benzinga

May 27th, 2026

LightTable raises $22M Series A to scale AI-powered construction document review platform

LightTable, an AI-native platform for construction pre-construction processes, has raised $22 million in Series A funding. The company emerged from stealth in August 2025 with a $6 million seed round. The platform reads construction drawings like an experienced architect or engineer, identifying design errors and omissions across more than 35 scopes. Since launch, LightTable has reviewed over 20 million square feet of construction documents and $3.5 billion in total project costs. The funding will be used to scale its quality assurance and quality control product, expand the team and introduce new tools for customers in the US and internationally. LightTable combines intelligent software with expert oversight to help developers and general contractors reduce billions of dollars in annual construction industry waste.

GlobeNewswire