Senior Product Manager

RealPage, Inc.

. Drive the product lifecycle for the Luna entity resolution engine and Meridian graph-based knowledge mapping system.

Posted 11/9/2026full-timeRemote • Texas • United StatesSenior💰 $94,700 - $161,300 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in managing the product lifecycle for enterprise software, particularly in data platforms and commercial real estate technology. Proficient in semantic data modeling, graph modeling, and ensuring data quality through continuous evaluation frameworks.

Highest-signal resume keywords

Product Management ExperienceSemantic Data ModelingGraph ModelingCommercial Real Estate Data StructuresContinuous Evaluation Frameworks

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Product Lifecycle ManagementData PlatformsGraph Database StructuresData Quality VerificationProbabilistic System DesignAI System Failure ManagementData Transformation LayersEntity ResolutionInvestment Performance MetricsUnified Golden Source Hierarchy

Tools & Technologies

RealPageYardiMRILLM FrameworksData Orchestration ToolsModel Context ProtocolAgentic Development EnvironmentsJanus Hypothesis Engine

Industry Keywords

Commercial Real EstateInstitutional FintechFinancial Reporting StandardsGlobal Performance StandardsInvestment MechanismsJoint-Venture Operating StructuresImmutable Audit TrailsData Governance

About the role

Key responsibilities & impact

Drive the product lifecycle for the Luna entity resolution engine and Meridian graph-based knowledge mapping system.
Harden semantic and graph systems to enterprise production standards for institutional CRE data portfolios.
Map complex, multi-tiered CRE ontology structures into the graph database.
Lead graph and resolution systems serving external agents via the Model Context Protocol (MCP).
Oversee migration and production hardening of platform infrastructure onto the next-generation stack.
Scale the Bedrock platform MVP to unify onboarding, data quality, enterprise governance, and global administration.
Architect the foundational agentic layer for custom client agents on governed semantic infrastructure.
Deploy the Janus hypothesis engine and launch Agentic chat with advanced plan modes and programmatic source citations.
Collaborate directly with autonomous engineers using agentic development environments to evaluate functional prototypes in real time.
Define and configure continuous evaluation frameworks to verify data quality and precision.
Champion an immutable unified audit trail recording human and AI actions for reproducible investment decisions.

Requirements

What you’ll need

6+ years of product management experience delivering enterprise software, including 3+ years on data platforms, CRE technology, or institutional fintech.
Demonstrated experience managing the end-to-end product lifecycle for enterprise offerings.
Working command of Semantic Data Modeling, Universal Data Modeling, and graph modeling.
Deep, practical knowledge of commercial real estate data structures, lifecycle stages, investment mechanisms, and joint-venture operating structures.
Profound understanding of property management systems such as RealPage, Yardi, and MRI, debt platforms, valuations, and market data.
Knowledge of mapping unstructured and semi-structured property records into a unified Golden Source entity hierarchy.
Solid understanding of institutional financial reporting standards, fund administration gates, and real estate performance metrics including NOI, IRR, cap rates, and debt yield.
Ability to trace data mutations through bronze, silver, and gold transformation layers.
Experience with probabilistic system design, adaptive system behavior, system instructions, and RAG architectures.
Experience anticipating AI system failure modes and designing systems to handle failures gracefully.
Ability to define continuous evaluation frameworks and immutable unified audit trails.
Comfortable using LLM frameworks, prompting tools, and basic scripting to build functional software prototypes.
Structural intuition for graph databases, vector search, model thresholds, API constraints, and data orchestration tools.
Experience mapping to global performance standards such as INREV and ANREV is highly preferred.

Benefits

Comp & perks

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.
Annual bonus and sales incentives may be available depending on the applicable plan, role, and individual performance.