Hiring: Senior Director, Internal AI Product Owner Company: Realpage Location: Richardson, TX Job Posted Time: 2026-09-14 12:09:37 Target Skills & Keywords : Agile, Azure, Azure DevOps, Change Management, Data Pipeline, Digital Transformation, GitHub, LLM, LangChain, LlamaIndex, Machine Learning, OpenTelemetry, Product Management, Product Strategy, Program Management, RAG, SQL, SaaS, Systems Integration About the job Experience: •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. Required Skills: •Own the product vision, roadmap, release plan, and prioritized backlog for assigned AI products, copilots, agents, automation patterns, and internal AI capabilities. •Convert business problems into AI product opportunities with clear users, jobs to be done, value hypotheses, constraints, risks, and measurable outcomes. •Partner with business owners to separate viable production use cases from experiments, demos, and low-value automation requests. •Maintain a clear product source of truth covering active use cases, owners, status, blockers, next decisions, value potential, launch readiness, and governance posture. •Drive prioritization using business value, user pain, feasibility, data readiness, security risk, operational complexity, and strategic alignment. •AI-First Requirements And Solution Shaping •Translate business workflows into product requirements for AI assistants, copilots, agents, retrieval-augmented generation, document understanding, generative analytics, workflow automation, and human-in-the-loop experiences. •Write PRDs, user stories, acceptance criteria, workflow maps, model behavior requirements, evaluation criteria, launch requirements, and operational runbooks. Qualifications: •Strong technical fluency with modern AI product patterns, including LLMs, prompt design, RAG, vector search, agent/tool-calling workflows, APIs, data pipelines, structured outputs, and telemetry. •Demonstrated hands-on ability to use AI-assisted building tools such as Codex, Claude / Claude Code, or comparable platforms to prototype, inspect technical artifacts, test assumptions, and accelerate product discovery. •Demonstrated capacity to work directly with technical materials such as APIs, logs, schemas, sample datasets, model outputs, prompts, evaluation results, and lightweight scripts or configurations. •Proven ability to write clear product requirements, user stories, acceptance criteria, workflow maps, launch plans, and executive-ready status updates. •Strong analytical judgment with the ability to define product metrics, interpret usage/outcome data, and separate activity from business value. •Practical understanding of privacy, security, access control, auditability, responsible AI, and operational risk in enterprise environments. •Executive presence and excellent communication skills, with the ability to translate technical constraints into business decisions and business needs into technical requirements. •Demonstrated ability to operate in ambiguous, fast-moving environments without losing rigor around scope, ownership, evidence, and follow-through. •Applied hands-on capability in enterprise AI platforms, LLM APIs, agent frameworks, AI copilots, AI assistants, RAG systems, document intelligence, workflow automation, or model evaluation tools. •Operational familiarity with Microsoft 365, Teams, SharePoint, Azure DevOps, Power Platform, Copilot-related tooling, Azure AI services, or comparable enterprise collaboration and delivery platforms. Compensation: •Health, dental, and vision insurance Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!