Senior Product Manager

Overview

About Cherre, a RealPage Company

Real assets software has served consumers across two completed eras. Era One built systems of record to capture transactions. Era Two built data warehouses and dashboards to inform analysts. Era Three is now open, and its primary consumer is the AI agent.

Cherre, now part of RealPage, is building the ultimate trust layer for real assets: a resolved, governed, semantic infrastructure that AI agents can reason against, decide from, and act through. The world's largest institutional CRE investors and operators, collectively holding more than $5T in AUM, run on Cherre today. Combined with RealPage's operating data footprint and scale, we hold the foundational institutional truth that next-generation real asset intelligence runs on.

The Role

We are looking for an AI-Native Senior Product Manager with elite, deep-domain Commercial Real Estate product expertise to play a core role in our semantic, graph modeling, and platform activation layers. You will own day-to-day product execution across the Semantic Layer (Luna, Meridian), Graph Modeling (Meridian), Reasoning Agents (Atlas), and platform workstreams, partnering with product leadership to turn complex, highly disparate real estate data into reliable, agent-ready data systems.

You will step completely away from traditional "product management theater." There are no 30-page PRDs, rigid screen-by-screen wireframing dependencies, or slow-moving human-overhead sprints here. Instead, you will operate under an inverted "Build First, Evaluate Second" model, collaborating directly with highly autonomous engineers using agentic development environments (ADEs) to evaluate functional prototypes in real time.

Responsibilities

Core Workstream Responsibilities

1. Semantic Layer (Luna, Meridian) & CRE Knowledge Graph

• Drive the product lifecycle for our entity resolution engine (Luna) and graph-based knowledge mapping system (Meridian), hardening them to enterprise production standards for the world's largest institutional CRE data portfolios.
• Map complex, multi-tiered CRE ontology structures directly into our graph database, ensuring that property, portfolio, loan, lease, and market performance variables seamlessly resolve across varying schemas.
• Lead the development of graph and resolution systems that serve external agents via the Model Context Protocol (MCP), enabling seamless global ontology harmonization and multi-org comparison capabilities tailored to institutional CRE standards.

2. Bedrock Infrastructure & Agentic Activation

• Oversee the migration and production hardening of our platform infrastructure onto our next-generation stack.
• Scale the Bedrock platform MVP to unify onboarding, data quality, enterprise governance, and global administration into a consolidated, intuitive command UI.
• Architect the foundational agentic layer: empowering clients to build custom agents on top of our governed semantic infrastructure, deploying the Janus hypothesis engine, and launching Agentic chat featuring advanced plan modes and programmatic source citations.

Qualifications

Deep CRE Domain & Product Expertise Requirements

This is not a generalist SaaS PM role. To teach AI how to reason about commercial real estate, you must understand the domain at an atomic level. You should be strong in most of the following. No one is expected to be expert in all of them.

• Semantic & Graph Modeling Fluency: Working command of Semantic Data Modeling (SDM: defining business meaning, metrics, and relationships as a governed layer over raw data), Universal Data Modeling (UDM: standardized, source-agnostic entity models that many systems map into), and graph modeling (representing entities and their relationships as nodes and edges for resolution and reasoning). These are the foundation of everything we build. Strength here counts more than any other qualification on this page.
• Advanced CRE Structural Domain Expertise: Deep, practical knowledge of commercial real estate data structures, lifecycle stages (acquisition, asset management, disposition), investment mechanisms, and joint-venture operating structures.
• Ontology & Mapping Mastery: A profound understanding of how diverse datasets interlock, including property management systems (RealPage, Yardi, MRI), debt platforms, valuations, and market data. You must know how to map unstructured and semi-structured property records into a unified "Golden Source" entity hierarchy.
• Institutional Financial Literacy: Solid understanding of institutional financial reporting standards, fund administration gates, and real estate performance metrics (e.g., NOI, IRR, cap rates, debt yield) across global asset classes. Experience mapping to global performance standards (like INREV and ANREV) is highly preferred.
• Lineage & Audit Acumen: The ability to trace data mutations through bronze, silver, and gold transformation layers. You understand how investment committees make data-driven calculations and what a regulator or auditor looks for when verifying the lineage of a billion-dollar transaction decision.

Experience

• 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.

Key AI-Native Competencies We're Tracking

• Probabilistic System Design & Model Behavior: You understand that AI products are non-deterministic. You excel at shifting logic from rigid deterministic acceptance criteria to shaping adaptive system behavior, defining clear system instructions, and optimizing RAG architectures over CRE data.
• Failure Mode Thinking: You actively anticipate what can go wrong in intelligent real estate systems, such as context drift, hallucinations in lease abstraction, or confidence-biased incorrect calculation actions, and you design the system architecture to handle failures gracefully.
• Strategic Risk & Governance Ownership: You will define and configure continuous evaluation frameworks (Evals-as-a-North-Star) to verify data quality and precision. You'll champion an immutable unified audit trail where both human and AI actions record into the same lineage so that every investment decision is perfectly reproducible.

What We Are Looking For (Hiring Signals)

• True Builder Mentality: You don't manage work from a distance. You feel productive discomfort when doing things manually that an agent could automate. You are comfortable using LLM frameworks, prompting tools, and basic scripting to rapidly materialize your own functional software prototypes.
• Deep Technical Intuition: While you don't need a PhD in machine learning, you possess the structural intuition to reason clearly about graph databases, vector search, model thresholds, API constraints, and data orchestration tools.

Why Join Us?

Over $5 trillion in real estate asset value runs safely in production on Cherre systems today, now backed by RealPage's scale and resources. We offer a workplace culture engineered specifically around maximizing human leverage rather than tracking human headcount.

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.

Pay Range

USD $94,700.00 - USD $161,300.00 /Yr.

Originally posted on Himalayas