Product Manager - Site Intelligence & Enterprise AI

Location

Valencia, Spain (or remote within compatible time zones)

Reports To

VP of Product

What We Do

We power the future of construction intelligence.

We are the #1 provider of construction site intelligence and management solutions for land developers and homebuilders in the US. Top 19 out of 20 national homebuilders work with TraceAir. Our platform delivers industry-leading site analytics, drone and geospatial data insights, and workflow automation to help teams eliminate manual work, reduce risk, and make better decisions faster - from project execution to enterprise-wide planning. As construction complexity grows, so does the need for intelligent, data-driven decision support. We are evolving from feature-driven site tools into an AI-powered enterprise intelligence platform that turns spatial data into strategic decision-making capability. Join us to build technology that delivers measurable operational impact.

Role Overview

We are hiring a technically fluent Product Manager who owns the evolution of our platform into a data-native, AI-driven site intelligence system.

You will operate at the intersection of:

• Geospatial technology

• CAD & construction document systems

• Data analytics

• AI

• Enterprise-grade product execution

This is a hands-on builder role. You are expected to prototype, experiment, and execute - not only define requirements. You will own product decisions end-to-end - from customer insight and rapid prototyping to delivery and impact measurement.

What You Own

1. Enterprise Intelligence

You will transform project-level features into portfolio-level intelligence:

• Design cross-project data aggregation models

• Define enterprise reporting architecture

• Build portfolio dashboards for executives

• Enable multi-site analytics across regions and programs

• Convert raw spatial data into actionable business insights

You ensure data scales from project → portfolio → enterprise.

2. Advanced Site Intelligence (Geospatial, CAD & Construction Data)

You will work directly with spatial data systems and CAD including:

• DEMs and orthophotos 

• Map layers and overlays

• Coordinate systems and georeferencing

• Terrain modeling

• Object detection in aerial imagery

• Spatial analysis pipelines

• CAD files 

• Construction documentation

• Plans, specs, RFIs, progress records

You define how geospatial intelligence becomes automated and actionable.

3. AI Integration & Automation

You build and validate AI capabilities through hands-on experimentation. AI must drive measurable efficiency or insight improvement.

You will:

• Identify automation opportunities using AI

• Apply LLMs to structured and unstructured construction data

• Prototype AI-powered insights and reporting

• Automate document understanding and metadata extraction

Technical expectations:

• Hands-on prototyping with AI tools and APIs

• Experimentation with LLMs (OpenAI-style APIs or similar)

• Understanding of prompt engineering and system prompts

• Knowledge of model limitations and validation

• Ability to evaluate AI output quality

AI should improve efficiency, insight generation, and automation.

4. Product Execution

You own execution from strategy to delivery:

• Translate strategy into technical specifications

• Write clear user stories with acceptance criteria

• Define measurable success metrics

• Prioritize backlog based on impact

• Work directly with engineering during implementation

You ensure features ship with clarity, quality, and alignment to business outcomes.

5. Ecosystem, Integrations & Analytics

You expand product value through:

• API integrations with construction systems

• Connections to GIS / CAD / project management tools

• Enterprise reporting enhancements

• Data instrumentation and analytics frameworks

You:

• Define integration requirements

• Evaluate partnership opportunities

• Build enterprise-level dashboards

• Measure adoption and product impact

You ensure the platform scales through ecosystem leverage and data-driven decision-making.

Qualifications

• 5+ years in enterprise B2B product management

• Experience in construction technology, geospatial products, mapping systems, or similar domains

• Strong understanding of spatial data systems

• Practical experience working with AI tools or building AI-enabled features

• Hands-on prototyping mindset

• Experience defining product requirements with engineering teams

• Strong analytical and system-thinking ability

• Ability to operate independently

• Experience with computer vision or spatial AI

• Experience designing enterprise reporting systems

• Experience with APIs and system integrations

• Background in portfolio-level analytics

What Success Looks Like (First 12 Months)

• Define and ship enterprise-level reporting capabilities

• Prototype and launch 2-3 AI-driven features

• Improve automation within site intelligence workflows

• Product adoption increases at portfolio level

• Key integrations are identified and execute

 
Benefits

•  Unlimited paid vacation

• Relocation package

• Private health insurance

• Skyeng English lessons

• Online yoga sessions

• Therapist & group support

• Branded TraceAir swag

• Maximum autonomy & minimal process overhead