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We are seeking a handson Product Director, AI/ML to lead strategy and execution for highimpact AI/ML capabilities across the company. This role serves as the sharedservices AI/ML product lead, enabling commercial and internal product features with scalable, reusable, and compliant AI/ML capabilities. The roles begins as an Individual Contributor Director reporting directly to the VP, Product Management for the Lumina Data Platform, with the opportunity to grow into a peopleleadership role as our AI/ML requirements expand.  Additionally, this role has endtoend product ownership for LLM capabilities within the Data & Analytics business unit-driving autonomous workflows, multistep reasoning agents, orchestrated task flows, and highvalue dataintensive AI capabilities. This is a highvisibility role ideal for a product leader who combines strong technical fluency, crossfunctional leadership, and drives execution across Product, Data Science and Engineering. 

• Lead sharedservices 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 longterm 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. 

KEY RESPONSIBILITIES 

1. AI/ML Product Strategy & Vision 

• Own the AI/ML capability roadmap and vision aligned to portfolio strategy. 

• Define multiquarter 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. 

2. SharedServices AI/ML Ownership 

• 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 timetovalue acceleration. 

• Reduce duplication and enable data science to build AI/ML capabilities faster and more safely. 

3. LLM Ownership (Data & Analytics BU) 

• Own the full product strategy and delivery of LLM capabilities within the D&A business unit. 

• Define value propositions for autonomous AI agents, multistep 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. 

4. LLMAccelerated ML Development 

Define and promote workflows where LLMs augment classical ML development, including: 

• Synthetic data generation 

• Automated documentation, explanations, and evaluation 

• Feature exploration and error analysis 

• Prompt engineering and safety reviews 

5. Governance, Safety & Compliance 

• Embed safebydesign principles into sharedservices and D&A AI/ML capabilities. 

• Partner with Governance, Legal, and InfoSec to ensure model transparency, auditability, and responsibleAI compliance. 

• Establish best practices for prompt safety, hallucination mitigation, lineage, and monitoring of LLM capabilities. 

6. Leadership & Future Team Development 

• Operate initially as an individual contributor Director with strong influence, crossfunctional leadership, and executivelevel 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. 

Required 

• 9-12+ years in Product Management, Data Science, or MLadjacent fields for data-heavy B2B SaaS environments 

• 3+ years handson with LLMs/Generative AI (prompting, evaluations, RAG, agent systems). 

• Proven track record shipping MLpowered products with measurable business outcomes. 

• Strong understanding of ML lifecycle, experimentation, and MLOps. 

• Ability to translate complex AI concepts to technical and nontechnical stakeholders. 

• Deep collaboration experience with Data Science and Engineering teams. 

Preferred 

• 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. 

SUCCESS METRICS 

• Adoption of shared AI/ML capabilities across multiple product groups. 

• Reduction of redundant ML efforts and faster experimentation cycles. 

• Delivery of LLM product capabilities in D&A that drive quantifiable customer and business outcomes. 

• Reliability, safety, and governance adherence across all deployed AI/ML systems. 

• Improved ML development velocity through LLMassisted workflows. 

HOW YOU'LL WORK 

• Report directly to the VP, Product Management for the Lumina Data Platform, partnering closely on platformaligned AI/ML strategy. 

• Serve as both: (1) the sharedservices AI/ML product lead enabling multiple BUs; and (2) the dedicated LLM product lead for the D&A BU. 

• Drive alignment, clarity, outcomes, and execution across DS, Engineering, Governance, Platform, and Product organizations. 

• Foster a hightrust culture centered on learning, experimentation, and rapid value delivery. 

SALARY AND BENEFITS

• RealPage provides a competitive salary package along with a comprehensive benefit plan that includes:
• Health, dental, and vision insurance.
• Retirement savings plan with company match.
• Paid time off and holidays.
• Professional development opportunities.
• Performance-based bonus based on position. 

Compensation may vary depending on your location, qualifications including job-related education, training, experience, licensure, and certification, that could result at a level outside of these ranges. Certain roles are eligible for additional rewards, including annual bonus, and sales incentives depending on the terms of the applicable plan and role as well as individual performance.

Equal Opportunity Employer: RealPage Company is an equal opportunity employer and committed to creating an inclusive environment for all employees.

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