Senior Product Manager — AI-native construction intelligence

Meramia Technologies LTD; Time; On-site; NOK 900,000 - 1,200,000; Full time

Job summary

Meramia Technologies LTD is seeking a product leader to own AI/ML workflows for construction ops, turning field data into actionable guidance grounded in BIM, CAD, and project feeds. You will define harnesses that couple LLMs and vision-language models to the project record, ensuring reliability and safety in decisions that affect cost and schedule.

You will visit sites, work with project managers and subcontractors, and drive a roadmap for scalable, testable automation across field capture,

Qualifications

• 3+ 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.

Responsibilities

• 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.

Skills

AI/ML product management

Agent architectures

Retrieval systems

Computer vision

Eval harness

Tools

Procore

Autodesk Construction Cloud

Primavera P6

Revit

OpenSpace

Job description

Role overview

The work.

Meramia already works inside construction and property teams. This seat owns the product decisions for that work: what gets automated, what stays a human call, and how a model is scored before it touches a safety or a commercial decision.

You will write the roadmap for tools that take field capture, plan sets, submittals, estimates and progress and turn them into something an operator can act on. The harness has to ground language and vision models in BIM, CAD, the schedule baseline and the feeds that actually exist on the project — and it has to fail loudly when the data is not there.

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.

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.