LocationValencia, Spain (or remote within compatible time zones)Reports ToVP of ProductWhat We DoWe 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 OverviewWe 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 executionThis 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 Own1. Enterprise IntelligenceYou 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 insightsYou 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 recordsYou define how geospatial intelligence becomes automated and actionable.3. AI Integration & AutomationYou 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 extractionTechnical 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 qualityAI should improve efficiency, insight generation, and automation.4. Product ExecutionYou 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 implementationYou ensure features ship with clarity, quality, and alignment to business outcomes.5. Ecosystem, Integrations & AnalyticsYou expand product value through:- API integrations with construction systems- Connections to GIS / CAD / project management tools- Enterprise reporting enhancements- Data instrumentation and analytics frameworksYou:- Define integration requirements- Evaluate partnership opportunitiesBuild enterprise‑level dashboardsMeasure adoption and product impactYou 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 analyticsWhat 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 executeBenefits- 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#J-18808-Ljbffr