Richardson, TX30+ days ago
p>Required 9-12+ years in Product Management, Data Science, or ML-adjacent fields for data-heavy B2B SaaS environments 3+ years hands-on with LLMs/Generative AI (prompting, evaluations, RAG, agent systems) Proven track record shipping ML-powered products with measurable business outcomes Strong understanding of ML lifecycle, experimentation, and MLOps Ability to translate complex AI concepts to technical and non-technical stakeholders Deep collaboration experience with Data Science and Engineering teams Preferred Experience with Azure ML, AWS SageMaker, or GCP Vertex AI Familiarity with OpenAI, Claude, Gemini, LangChain, LangSmith, agent frameworks, vector databases, and embedding models Experience with data governance, lineage, and compliance Background in multifamily real estate or proptech. Additionally, this role has end-to-end product ownership for LLM capabilities within the Data & Analytics business unit-driving autonomous workflows, multi-step reasoning agents, orchestrated task flows, and high-value data-intensive AI capabilities.