Senior Product Manager (AI)

Location: US-TX-Remote

Salary: USD $94,700–$161,300 per year

Company

hirify.global, through Cherre, builds semantic and governed data infrastructure for institutional commercial real estate and AI agents.

What you will do

• Drive the product lifecycle for Luna’s entity resolution engine and Meridian’s graph-based knowledge mapping system.
• Map commercial real estate ontology structures into graph databases across properties, portfolios, loans, leases, and market performance data.
• Lead graph and resolution systems exposed through the Model Context Protocol for ontology harmonization and multi-organization comparisons.
• Oversee infrastructure migration and production hardening while scaling the Bedrock platform across onboarding, data quality, governance, and administration.
• Build the agentic layer for custom client agents, including the Janus hypothesis engine and agentic chat with plan modes and source citations.

Requirements

• 6+ years of product management experience delivering enterprise software, including 3+ years in data platforms, commercial real estate technology, or institutional fintech.
• End-to-end product lifecycle management experience for enterprise offerings.
• Strong working knowledge of semantic data modeling, universal data modeling, and graph modeling.
• Deep practical expertise in commercial real estate data structures, acquisition, asset management, disposition, investment mechanisms, and joint-venture operations.
• Ability to map data from property management systems such as hirify.global, Yardi, and MRI, as well as debt, valuation, and market-data platforms, into a unified entity hierarchy.
• Institutional financial literacy covering reporting standards, fund administration, and metrics such as NOI, IRR, cap rates, and debt yield.
• Ability to trace data mutations through bronze, silver, and gold transformation layers and design auditable data lineage.
• Understanding of probabilistic AI system design, model behavior, system instructions, RAG architectures, failure modes, and continuous evaluation frameworks.
• Comfort using LLM frameworks, prompting tools, basic scripting, graph databases, vector search, API constraints, and data orchestration tools to build prototypes.

Nice to have

• Experience mapping real estate performance standards such as INREV and ANREV.

Culture & Benefits

• Build-first, evaluate-second product development with direct collaboration with autonomous engineers and agentic development environments.
• Health, dental, and vision insurance.
• Retirement savings plan with company match.
• Paid time off, holidays, and professional development opportunities.
• Performance-based bonus eligibility; compensation may vary by location, qualifications, education, training, experience, licensure, and certification.