Sr Product Manager, AI Products

Lennar•Irving, TX

About The Position

We are Lennar Lennar is one of the nation's leading homebuilders, dedicated to making an impact and creating an extraordinary experience for their Homeowners, Communities, and Associates by building quality homes and providing exceptional customer service, giving back to the communities in which we work and live in, and fostering a culture of opportunity and growth for our Associates throughout their career. Lennar has been recognized as a Fortune 500® company and consistently ranked among the top homebuilders in the United States. Join a Company that Empowers you to Build your Future A Senior Product Manager on the AI Products team is responsible for owning the bookends of AI product development — partnering with business teams to identify opportunities, defining requirements and roadmaps, managing delivery milestones and communications across AI Engineering and Data Science, and driving the launch and adoption of AI products across the enterprise. This role sits at the intersection of business, engineering, data science, and governance. A career with purpose. A career built on making dreams come true. A career built on building zero defect homes, cost management, and adherence to schedules.

Requirements

Bachelor's degree in Computer Science, Information Technology, Business Administration, or a related field. (Master's degree beneficial).
Minimum 6-8 years of product management experience, with at least 3 years on AI/ML, data-intensive, or platform products in production.
Demonstrable hands-on experience shipping AI/ML-powered products — agentic platforms, conversational AI, recommender systems, NLP applications, or similar.
Working knowledge of modern AI/ML concepts including LLMs, agents, model evaluation, and enterprise integration patterns.
Excellent written and verbal communication skills — your requirements documents and stakeholder updates are how cross-functional teams stay aligned.
Strong task and program management skills — milestones, dependencies, risk surfacing, and executive communications.
Experience operating in a matrixed environment with cross-functional partners across engineering, data science, governance, and business teams.
Strategic thinker who translates ambiguous business needs into scoped product opportunities; comfortable with governance and risk processes as partners, not blockers.

Responsibilities

Partner with business teams to identify AI product opportunities and translate them into clear requirements and roadmaps.
Define product requirements with the clarity AI Engineering and Data Science need to execute against.
Manage product development milestones, dependencies, and timelines across cross-functional teams.
Own stakeholder communications — status updates to leadership, business sponsor alignment, and escalation when needed.
Shepherd AI products through AI Trust & Governance review for risk tiering and approval.
Lead launch planning and execution — communications, training, rollout sequencing, and success criteria.
Drive adoption post-launch by partnering with domain managers, monitoring usage, and intervening when uptake stalls.
Proactively extend shipped capabilities to additional domains and present product updates, roadmaps, and outcomes to senior leadership.