AI Product Management Director Job Richardson area,Texas USA,Business

Role Purpose

Product leaderfor a portfolio of AI-powered, client-facing products within CBRE Digital &Technology. Owns the strategy, roadmap, and outcomes for how applied AI showsup in the hands of users — translating emerging capabilities into experiences that move the business. Sits at the intersection of product thinking, appliedAI, 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 andintent.

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 tobuild, 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 rightproblems 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 showup 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 conceptto production; manage scope, risk, and trade-offs in real time.
– Build trusted relationships across multiple lines ofbusiness; 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 toensure new capabilities are adopted, not just shipped.
– Own the post-launch story: measure outcomes, learn fromreal usage, and feed insight back into the roadmap.

Person Specification / Requirements Experience

– 8+ years in product management or a product-leading role, with a track record of shipping products users actually adopt.
– 3+ years leading product for AI-powered, data-rich, or technically complex products.
– Demonstrable record of taking products from concept through production in fast-moving, ambiguous environments.
– Prior experience working directly with senior business stakeholders to shape and deliver outcomes.
– Enterprise or B2B product experience is a strong plus.

AI & Product Craft

– Strong product instinct: user-centric, opinionated about what’s worth building, and…