The Role
Own product direction for an AI-native AEC platform and its MEP and construction applications. Work directly with customers and construction sites to identify opportunities, shape evidence-based product pitches, prototype solutions with AI coding agents, and build and ship selected bets alongside engineers. The role requires strong AEC experience, technical fluency, customer communication, and the ability to translate industry needs into buildable product initiatives.
Summary Generated by Built In
About Us
About the role
How we work
What you'll do
What we're looking for
What we offer
At Tektome, we're at the forefront of technological innovation for the AEC industry. Our commitment is to drive excellence, push technological boundaries, and transform the AEC as a whole. We are a spin out of one of the first AI companies in Japan, Incubit. We're looking for dedicated professionals who share our passion and ambition. If you're hungry for challenges and eager to be part of a pioneering tech firm, Tektome is where you belong.
Tektome's platform is an AI-native workspace for AEC teams: chat, collaborative docs and knowledge, search, AEC data and AI agents in one place, with apps for specific MEP and construction workflows built on top. It's used by some of the largest general contractors and design firms in Japan.
We're looking for a Technical Product Owner who knows AEC from the inside. You'll turn what general contractors need into shaped, buildable bets for our product engineers, own product direction for the core platform and its apps, prototype ideas with AI coding agents, and then build and ship them with the team. You'll report to our Head of Product Engineering.
This is a growth role. It suits an architect or a software engineer from AEC who wants to become a technical product leader. Within your first year, we expect most of the pitches at our betting table to come from you.
We work in Forge, our in-house methodology based on Shape Up: fixed cycles with build and cooldown phases, pitches presented at a betting table, and no sprints, story points or backlogs. You shape bets, defend them on evidence, and stay with them until they're in customers' hands.
- Spend time with customers at their offices and on construction sites to understand how work really happens across models, drawings and markups
- Spot where software should change how AEC teams work, and shape those ideas into pitches with a clear appetite and no-gos
- Prototype ideas quickly with AI coding agents to test them before committing a cycle
- Present pitches at the betting table and make the case on evidence
- Build and ship alongside the product engineers once a bet is picked
- Own product direction for the core platform and its MEP and construction apps
- Explain technical trade-offs clearly to customers and engineers
Required
- 4+ years in AEC at a design firm, general contractor or AEC software vendor, with a real understanding of how buildings are designed, coordinated and built
- A background as an architect or software engineer: ideally a licensed or practicing architect with strong computational skills, or a software engineer who has built tools for AEC
- Ambition to lead product: you've already shaped features, led a small initiative or owned a tool others use
- Professional English, with the ability to explain technical trade-offs clearly
Nice to have
- Hands-on design, cost estimation, BIM coordination or construction management at a large contractor or design firm
- BIM data experience: IFC and ifcopenshell, Revit and the Revit API, Autodesk Platform Services, BCF, XFDF
- AI agents you've built that do real AEC work, such as model checking, drawing review or design automation
- Experience with Shape Up or another appetite-based way of shaping work
- Delivering for enterprise customers with on-premise or strict security requirements
- You build with AI: you prototype with AI coding agents and read and write Python, TypeScript or C# (Revit API, Dynamo or Grasshopper scripting counts)
- Working knowledge of LLM agents: tool use, MCP, context management, evaluation and token costs at scale
- Japanese language skills
- A real path from architect or engineer to technical product leader
- Visa sponsorship
- Competitive salary and benefits
- Real customers: large general contractors and design firms
- Collaborative and inclusive work environment
- Personal growth and learning opportunities
Location: Tokyo (hybrid), with regular visits to customer offices and construction sites.
Skills Required
- 4+ years of experience in AEC at a design firm, general contractor, or AEC software vendor
- Background as an architect or software engineer, preferably with AEC software or strong computational skills
- Demonstrated ambition to lead product, including shaping features, leading an initiative, or owning a tool used by others
- Professional English and ability to explain technical trade-offs clearly
- Hands-on experience with design, cost estimation, BIM coordination, or construction management
- Experience with IFC, ifcopenshell, Revit, Revit API, Autodesk Platform Services, BCF, or XFDF
- Experience building AI agents for AEC tasks such as model checking, drawing review, or design automation
- Experience with Shape Up or another appetite-based work-shaping methodology
- Experience delivering enterprise software with on-premise or strict security requirements
- Ability to prototype with AI coding agents and read and write Python, TypeScript, or C#
- Working knowledge of LLM agents, including tool use, MCP, context management, evaluation, and token costs at scale
- Japanese language skills
Am I A Good Fit?
Get Personalized Job Insights.
Our AI-powered fit analysis compares your resume with a job listing so you know if your skills & experience align.
Success! Refresh the page to see how your skills align with this role.
The Company
What We Do
Tektome is an AI-native company providing an architectural design AI platform for the Architecture, Engineering, and Construction (AEC) industry. Their mission is to transform the AEC sector by bringing research-grade AI innovation into real-world production systems, automating architectural design processes, and providing advanced tools for regulatory compliance and BIM model verification.
