aledade - Senior Technical Product Manager (AI Data Platform), Remote
Requirements
• 8+ years of product management experience in technology, technology-enabled services industry, or a SaaS product. • Robust understanding of artificial intelligence and/or machine learning, and related technologies. • Experience using data and primary research to inform solution design and build internal business understanding. • Experience with Agile teams, Jira, and understanding of the software development lifecycle • Strong understanding of APIs, DevOps, enterprise software development, cloud infrastructure (databricks/AWS/GCP/Azure), and data engineering principles. • Exceptional ability to communicate technical trade-offs to non-technical stakeholders. • Comfortable with translating ambiguous product requirements into a technical roadmap • ## Preferred Knowledge, Skills and/or Abilities: • Experience working on or leading products for an AI/ML platform team and building a platform to scale vertically and horizontally. • Proven track record of building and launching AI/ML platforms, tools, or internal services that enable other product teams. • Deep understanding of the AI/ML product lifecycle, MLOps, and scalable AI infrastructure (e.g., model training, deployment, monitoring, observability, reliability). • Experience with large language models (LLMs) and generative AI technologies, including prompt engineering strategies and VLMs. • Experience working as a data scientist or backend engineer. • Strong ability to translate technical concepts and platform capabilities into value propositions and storytelling skills to communicate to diverse internal stakeholders. • Clinical Data Literacy: Familiarity with EHR data, Claims, or population health datasets. • Experience in a healthcare technology environment, including physician-facing products or working with clinical datasets (EHR data, Claims, Population Health datasets, etc). • Sitting for prolonged periods of time. Extensive use of computers and keyboard. Occasional walking and lifting may be required.
Responsibilities
• Partner with business owners to cultivate a shared vision for the problem space, constraints, priorities and ideal end state, and be able to articulate and advocate for this perspective. • Lead the full lifecycle of ML and LLM platform workstreams; from data ingestion, training, and deployment to the ongoing optimization of live user workflows based on performance metrics and feedback • Work with internal teams and end users to develop a deep understanding of requirements, perform thoughtful solution design, use data to test hypotheses, and support teams throughout execution. • Write detailed user stories for new features, capturing detailed descriptions of business rationale, requirements, and success criteria that are defined by measurable outcomes. • Develop short- and long-term roadmaps that deliver maximum value with minimum risk and assume ongoing iteration. • Partner with AI Researchers to mature proofs-of-concept into production-ready capabilities. • Perform hands-on exploration of user feedback, healthcare records and validation data to validate model performance.
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