Role Summary
We are reshaping our operating model through a Forward Deploy Engineer (FDE) program-embedding senior engineers directly within business product teams to close the gap between intent and execution. This is not a traditional support role. FDEs own outcomes.
As an FDE, you will work shoulder-to-shoulder with product managers and business stakeholders across GAM, DCI, and other high-priority data products on a daily basis. You will build features, run demos, iterate fast, and ship software that directly influences client experience and revenue. You operate comfortably in high ambiguity, surface and resolve complexity early, and translate broad business goals into working software.
This role requires a rare combination of product sensibility, deep engineering craft, AI fluency, and data expertise. You are equally at home whiteboarding a data model with a product manager and writing production-grade code the same afternoon.
What You'll Do
- 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, TypeScript), 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 GraphQL 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 EngineeringAI / LLM IntegrationData Engineering
Product ManagementCloud ArchitectureAgentic Workflows
Stakeholder EngagementData ModellingAPI Design
Demo & StorytellingCI/CD & DevOpsSQL & Analytics
At CBRE, we believe the future of commercial real estate will be built on data and technology. As a Forward Deploy Engineer, you will be at the center of that transformation-shipping software that reaches real clients, drives measurable revenue, and redefines how a global business operates.
- Named a Fortune Most Admired Real Estate Company for 14 consecutive years.
- Named a World's Most Ethical Company by Ethisphere for 11 consecutive years.
- Ranked #3 on Barron's Most Sustainable Company list.
- Access to a global network of technology, data, and real estate expertise, with investment in AI and digital transformation at the highest levels of leadership.
