Senior Technical Product Manager (AI Data Platform)

Join Aledade, a leading healthcare technology company, as a Senior Technical Product Manager for our AI Data Platform. In this role, you will define and deliver the roadmap for our AI Data Platform, working closely with AI engineers, data scientists, and clinical leadership. Your contributions will directly impact the quality and cost of care for over 2 million patients. Enjoy a remote-first working environment, flexible schedules, and a comprehensive benefits package.

• Defining and delivering the roadmap for the AI Data Platform, driving execution and scale.
• Leading the full lifecycle of machine learning and large language model platform workstreams, from data ingestion to deployment.
• Partnering with business owners to cultivate a shared vision for the problem space, constraints, priorities, and ideal end state.

• Robust understanding of artificial intelligence and/or machine learning, and related technologies
• Experience with Agile teams, Jira, and understanding of the software development lifecycle
• Comfortable with translating ambiguous product requirements into a technical roadmap
• Experience using data and primary research to inform solution design and build internal business understanding
• 8+ years of product management experience in technology, technology-enabled services industry, or a SaaS product
• Exceptional ability to communicate technical trade-offs to non-technical stakeholders
• Strong understanding of APIs, DevOps, enterprise software development, cloud infrastructure (databricks/AWS/GCP/Azure), and data engineering principles
• Clinical Data Literacy: Familiarity with EHR data, Claims, or population health datasets
• Experience working as a data scientist or backend engineer
• Experience working on or leading products for an AI/ML platform team and building a platform to scale vertically and horizontally
• Strong ability to translate technical concepts and platform capabilities into value propositions and storytelling skills to communicate to diverse internal stakeholders
• Experience in a healthcare technology environment, including physician-facing products or working with clinical datasets (EHR data, Claims, Population Health datasets, etc)
• Deep understanding of the AI/ML product lifecycle, MLOps, and scalable AI infrastructure (e.g., model training, deployment, monitoring, observability, reliability)
• Sitting for prolonged periods of time. Extensive use of computers and keyboard. Occasional walking and lifting may be required
• Proven track record of building and launching AI/ML platforms, tools, or internal services that enable other product teams
• Experience with large language models (LLMs) and generative AI technologies, including prompt engineering strategies and VLMs