Realpage connects property management software, analytics and AI to help real estate owners and operators improve property and portfolio performance. Backed by Battery.
About the role
The AI Product Owner owns the product definition, delivery rhythm, and value realization for internal AI capabilities. This role bridges business stakeholders, AI engineering, architecture, data/platform teams, security, legal, change management, and operations to turn high-value workflows into production-ready AI products.
What they're looking for
- Write PRDs, user stories, acceptance criteria, workflow maps, model behavior requirements, evaluation criteria, launch requirements, and operational runbooks
- Define where AI should assist, automate, escalate, or defer to a human, including confidence thresholds, exception paths, approval flows, and audit requirements
- Partner with AI engineering and architecture to shape requirements for prompts, tools/functions, data sources, retrieval design, structured outputs, model routing, integrations, and telemetry
- Ensure requirements cover data access, privacy, tenant boundaries, retention, security controls, compliance constraints, and operational support needs
- 6+ years of experience in product ownership, product management, technical program management, business systems delivery, digital transformation, or comparable product delivery roles
- 2+ years of experience with AI, machine learning, data products, automation, analytics products, or emerging technology delivery, direct generative AI experience preferred
More about this role
The AI Product Owner owns the product definition, delivery rhythm, and value realization for internal AI capabilities. This role bridges business stakeholders, AI engineering, architecture, data/platform teams, security, legal, change management, and operations to turn high-value workflows into production-ready AI products.
The role is intentionally both product-led and technically fluent. The AI Product Owner does not need to be the primary AI engineer, but must understand enough about LLMs, agentic workflows, retrieval, data readiness, evaluations, guardrails, observability, and cost controls to shape strong requirements, challenge weak assumptions, and make delivery tradeoffs visible.
This is also a hands-on builder role. The AI Product Owner should be able to use tools such as Codex, Claude / Claude Code, and comparable AI development environments to prototype workflows, inspect code and data shapes, test prompts and agent behaviors, validate technical assumptions, and create lightweight working examples that help business and engineering teams move faster.
- Own the product vision, roadmap, release plan, and prioritized backlog for assigned AI products, copilots, agents,...
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