Senior Product Manager — AI-native construction intelligence Remote / Hybrid · →

The role sits between the engineering of AI harnesses — pipelines, agent orchestration, multi-model evals, systems grounded in the project record — and the people who run a site: general contractors, project managers, field engineers.

• Set the sequence: field-capture processing, plan parsing, submittal review, cost, progress — and say which of those is a harness problem this quarter.
• Specify developer-facing and internal harnesses that bind LLMs and vision-language models to the project record, so a hallucination is a test failure rather than a site surprise.
• Stand up agents that can flag a hazard, follow a delivery, check a build against the drawing, or draft a change order — always with an eval attached.
• Go to site. Talk to project managers, superintendents and subcontractors. Write the bottleneck down before you write the ticket.
• Own the evals for accuracy, safety and reliability wherever the output can move money or injure someone.
• Work with the people who sell and support the work so hours saved, risk avoided and rework cut are measured, not asserted.

01

What you will do

• Set the sequence: field-capture processing, plan parsing, submittal review, cost, progress — and say which of those is a harness problem this quarter.
• Specify developer-facing and internal harnesses that bind LLMs and vision-language models to the project record, so a hallucination is a test failure rather than a site surprise.
• Stand up agents that can flag a hazard, follow a delivery, check a build against the drawing, or draft a change order — always with an eval attached.
• Go to site. Talk to project managers, superintendents and subcontractors. Write the bottleneck down before you write the ticket.
• Own the evals for accuracy, safety and reliability wherever the output can move money or injure someone.
• Work with the people who sell and support the work so hours saved, risk avoided and rework cut are measured, not asserted.

What you bring

• Three or more years running AI or ML products: agent architectures, retrieval, computer vision, and an eval harness you have actually used.
• The construction lifecycle — pre-construction, bid, schedule, execute, handover — and the tools the trades already live in: Procore, Autodesk Construction Cloud, Primavera P6, Revit, OpenSpace.
• A plan for unstructured site data: photographs, 360 scans, drone footage, PDF specs, BIM metadata.
• Four or more years of product work in B2B software, PropTech, ConTech, or developer infrastructure.
• Interviews, prototypes, a backlog you will defend, and the ability to talk to researchers, engineers, designers and a superintendent in the same week.

02

What you bring

• Three or more years running AI or ML products: agent architectures, retrieval, computer vision, and an eval harness you have actually used.
• The construction lifecycle — pre-construction, bid, schedule, execute, handover — and the tools the trades already live in: Procore, Autodesk Construction Cloud, Primavera P6, Revit, OpenSpace.
• A plan for unstructured site data: photographs, 360 scans, drone footage, PDF specs, BIM metadata.
• Four or more years of product work in B2B software, PropTech, ConTech, or developer infrastructure.
• Interviews, prototypes, a backlog you will defend, and the ability to talk to researchers, engineers, designers and a superintendent in the same week.

Useful, not required

• Civil engineering, construction management, architecture, or computer science as a first training.
• Prompting and model-eval tools (LangSmith, MLflow, a custom CLI) used as instruments, not as theatre.
• A zero-to-one AI product shipped into a trade that still runs on paper and a WhatsApp group.

03

Useful, not required

• Civil engineering, construction management, architecture, or computer science as a first training.
• Prompting and model-eval tools (LangSmith, MLflow, a custom CLI) used as instruments, not as theatre.
• A zero-to-one AI product shipped into a trade that still runs on paper and a WhatsApp group.

The first quarter

• Run discovery on live accounts and audit the current models and their evals.
• Set the twelve-month map: which agentic workflows matter, and which harness gaps block them.
• Ship one feature — a plan-set delta check or live risk alert — with retention and accuracy defined before release.