Embedded Product Delivery Partner daily with product managers across data product teams to translate business requirements into technical solutions. Own the full delivery lifecycle: design, build, demo, iterate, and release—moving at the speed of the business. Serve as the primary engineering voice in product planning sessions, shaping roadmaps with technical precision and pragmatism. Operate effectively in ambiguity, making high-quality decisions with incomplete information and adjusting course rapidly. Feature Development & Engineering Build production-grade full-stack features across data pipelines, APIs, and front-end interfaces. Architect and implement scalable data solutions that integrate with CBRE's enterprise data platforms and client-facing products. Design and deploy AI-powered capabilities—including LLM integrations, agentic workflows, and predictive analytics—into live products. Champion engineering excellence: code quality, automated testing, observability, and secure-by-default practices. Stakeholder Engagement & Alignment Facilitate technical discovery sessions and working groups with business, product, and data stakeholders. Translate complex technical constraints into business-friendly language; translate ambiguous business intent into precise technical specifications. Accelerate cross-functional decision-making by resolving technical blockers early and surfacing trade-offs clearly. Run compelling product demos that build stakeholder confidence and drive investment alignment. AI, Data & Platform Innovation Apply advanced AI and ML capabilities—including generative AI, natural language interfaces, and predictive models—to accelerate product value. Build and optimize data pipelines for ingestion, transformation, and integration of large, complex datasets. Drive ontology design, data modelling, and data governance practices to ensure scalable, trustworthy data products. Identify and prototype emerging technology applications that translate into near-term business outcomes. Enablement & Culture Mentor and coach product and engineering team members, elevating the technical baseline across business units. Establish patterns and reusable components that enable teams to move faster on subsequent product investments. Contribute to the FDE operating model itself—feeding back learnings that improve how CBRE embeds engineering into the business. What You'll Need 10 years in software engineering, data engineering, or a related technical discipline. 3 years in a forward-deployed, customer-facing, or embedded engineering role—or equivalent experience working at the interface of business and technology. Demonstrable track record of shipping production software in fast-moving, ambiguous environments. Prior experience partnering directly with business or product stakeholders (not just engineering teams). Technical Skills Full-stack proficiency: modern front-end frameworks (React, Type. Script), back-end services (Python, Node.js, or similar), and cloud-native architectures (AWS, Azure, or GCP). Strong data engineering fundamentals: data modelling, pipeline development, SQL, and experience with modern data platforms (Snowflake, Databricks, or similar). Hands-on AI/ ML experience: LLM integration, prompt engineering, agentic systems, and/or traditional ML model deployment in production. API design and integration: RESTful and Graph. QL APIs, enterprise system connectivity, and secure data exchange patterns. Strong command of software quality practices: testing, CI/ CD, observability, and security fundamentals. Product & Communication Skills Ability to think like a product manager: user-centric, outcome-oriented, and comfortable prioritizing under constraints. Exceptional written and verbal communication—capable of leading stakeholder workshops and presenting technical findings to senior business leadership. Natural tendency to simplify, not over-engineer; judgment to know when good-enough ships faster than perfect. Comfort with demos: builds compelling, polished demonstrations that generate momentum with non-technical audiences. Skills Snapshot Full-Stack Engineering AI / LLM Integration Data Engineering Product Management Cloud Architecture Agentic Workflows Stakeholder Engagement Data Modelling API Design Demo & Storytelling CI/ CD & DevOps SQL & Analytics