AI Product Management Director

RealPage, Inc. is seeking a hands-on Product Director, AI/ML to lead strategy and execution for high-impact AI/ML capabilities across the company. This role involves end-to-end product ownership for LLM capabilities within the Data & Analytics business unit, driving autonomous workflows and high-value data-intensive AI capabilities.

Responsibilities:

• Lead shared ‑ services AI/ML product capabilities used across multiple product lines
• Partner with platform, data science, engineering, and BU product leadership to align on AI/ML vision , drive roadmap, execution and capacity management
• Oversee roadmap and delivery for Agentic AI within the Data & Analytics business unit
• Influence long ‑ term organizational design and may take on people leadership as the function scales
• Balance commercial and internal product priorities, maintaining an investment strategy aligned to enterprise and BU strategic goals
• Own product strategy and delivery for AI governance and ML Ops, establishing robust frameworks for model lifecycle management, compliance, and operational excellence
• Own the AI/ML capability roadmap and vision aligned to portfolio strategy
• Define multi ‑ quarter investment themes that balance internal acceleration with commercial product differentiation
• Identify opportunities where LLMs can accelerate classical ML cycles, including automated evaluation, data summarization, hypothesis generation, and model quality refinement
• Serve as the central product lead for shared AI/ML components, including vector stores, RAG pipelines, evaluation harnesses, LLM safety tooling, feature stores, and model governance frameworks
• Drive adoption across multiple product lines , ensuring consistency, compliance, and time ‑ to ‑ value acceleration
• Reduce duplication and enable data science to build AI/ML capabilities faster and more safely
• Own the full product strategy and delivery of LLM capabilities within the D&A business unit
• Define value propositions for autonomous AI agents, multi ‑ step reasoning systems, and orchestration frameworks tied to D&A customer outcomes
• Work closely with Product and AI Engineering leadership to take LLM features from concept to production with rigorous evaluation, reliability, and governance
• Define and promote workflows where LLMs augment classical ML development, including:
• Embed safe ‑ by ‑ design principles into shared ‑ services and D&A AI/ML capabilities
• Partner with Governance, Legal, and InfoSec to ensure model transparency, auditability, and responsible ‑ AI compliance
• Establish best practices for prompt safety, hallucination mitigation, lineage, and monitoring of LLM capabilities
• Operate initially as an individual contributor Director with strong influence, cross ‑ functional leadership, and executive ‑ level communication
• As AI/ML investments scale, help define team structure and may assume direct people leadership responsibilities
• Mentor PMs and partner with Data Science and AI Engineering leaders to elevate AI product delivery maturity

Requirements:

• 9 –12+ years in Product Management, Data Science, or ML ‑ adjacent fields for data-heavy B2B SaaS environments
• 3+ years hands ‑ on with LLMs/Generative AI (prompting, evaluations, RAG, agent systems)
• Proven track record shipping ML ‑ powered products with measurable business outcomes
• Strong understanding of ML lifecycle, experimentation, and MLOps
• Ability to translate complex AI concepts to technical and non ‑ technical stakeholders
• Deep collaboration experience with Data Science and Engineering teams
• Experience with Azure ML, AWS SageMaker, or GCP Vertex AI
• Familiarity with OpenAI, Claude, Gemini, LangChain, LangSmith, agent frameworks, vector databases, and embedding models
• Experience with data governance, lineage, and compliance
• Background in multifamily real estate or proptech