AI Product Management Director

CBRE Group, Inc.; Richardson (TX); On-site; USD 180,000 - 240,000; Full time

Job summary

CBRE Group, Inc. seeks a product leader to oversee a portfolio of AI-powered, client-facing products within CBRE Digital & Technology.

Owns strategy, roadmap, and outcomes for applied AI experiences that translate capabilities into user value. The role sits at the intersection of product thinking, applied AI, and customer empathy, identifying high-value problems, deciding what to build and when, and partnering with engineering, design, and data science to ship adoption-ready products that

Responsibilities

• Set the vision for a portfolio of AI-powered products; identify where applied AI unlocks client value.
• Define and own the product roadmap; sequence investments against outcomes, readiness, and user signals.
• Provide a sharp point of view on what to build, defer, or kill.
• Lead discovery and experiments to validate problems and inform roadmap decisions.
• Define how LLMs, RAG, and agentic AI appear in user experiences with guardrails for safety and trust.
• Collaborate with design, engineering, and data science to ship customer-ready products.

Job description

Role Purpose

Product leader for a portfolio of AI-powered, client-facing products within CBRE Digital & Technology. Owns the strategy, roadmap, and outcomes for how applied AI shows up in the hands of users — translating emerging capabilities into experiences that move the business. Sits at the intersection of product thinking, applied AI, and customer empathy: identifies the highest-value problems to solve, decides what to build and when, and partners with engineering, design, and data science to ship products that earn adoption. Operates with a builder’s instinct — opinionated, evidence-driven, and willing to hold the bar on both quality and intent.

Key Responsibilities

Product Strategy & Vision

• Set the vision for a portfolio of AI-powered products; identify where applied AI and emerging tech can unlock disproportionate client value.
• Define and own the product roadmap; sequence investments against business outcomes, technical readiness, and user signal.
• Bring a sharp, opinionated point of view on what to build, what to defer, and what to kill.
• Continuously scan the AI and product landscape; surface credible recommendations on which capabilities to adopt, build, or wait on.
• Articulate the strategic narrative for the portfolio in language that lands with engineers, executives, and clients alike.

Discovery & Experimentation

• Lead structured product discovery: customer interviews, usage analysis, market research, and rapid prototyping to validate the right problems to solve.
• Design and run lightweight experiments to test AI capabilities with real users before committing to roadmap.
• Translate insight into clear product hypotheses, success metrics, and decision criteria.
• Champion a culture of evidence over opinion and a bias toward learning fast.

Applied AI Product Craft

• Define how LLMs, RAG, and agentic AI capabilities show up as user-facing experiences — not as a feature list, but as a coherent product.
• Specify evaluation criteria, quality bars, and guardrails for AI features so they reach production safely and earn user trust.
• Make the trade-off calls between accuracy, latency, cost, and user control that AI products demand.
• Partner with design and engineering on conversational, adaptive, and assistive UX patterns that move beyond traditional UI.

Delivery & Cross-Functional Partnership

• Partner daily with engineering, design, data, and business stakeholders to translate strategy into shipped product.
• Drive complex, multi-workstream programs from concept to production; manage scope, risk, and trade-offs in real time.
• Build trusted relationships across multiple lines of business; translate ambiguous business intent into precise product specifications.
• Lead compelling product reviews and demos that generate stakeholder confidence and investment momentum.

Go-to-Market & Adoption

• Define how products reach users: positioning, onboarding, success metrics, and feedback loops.
• Partner with sales, client success, and marketing to ensure new capabilities are adopted, not just shipped.
• Own the post-launch story: measure outcomes, learn from real usage, and feed insight back into the roadmap.