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Senior Technical Product Manager (AI Innovation)

Aledade · United States

External listingfull-time14 days ago

About The Role

Join Aledade, a company dedicated to transforming value-based care through innovative technology. As a Senior Technical Product Manager for the AI Platform, you will define and deliver the roadmap for the AI Platform, partner closely with AI engineers, data scientists, and clinical leadership, and contribute to the improvement of quality and cost of care for over 2 million patients. You will lead the full lifecycle of ML and LLM platform workstreams, develop short- and long-term roadmaps, and partner with AI researchers to mature proofs-of-concept into production-ready capabilities. Enjoy a remote-first working environment, flexible work schedules, and generous benefits.

  • Definir y entregar la hoja de ruta para impulsar la ejecución y escalabilidad de la plataforma de IA que respalda a las partes interesadas internas y a los productos de IA externos.
  • Operar en la intersección de los sistemas de aprendizaje automático, la ingeniería de datos y la IA aplicada a la atención médica.
  • Liderar el ciclo de vida completo de los flujos de trabajo de la plataforma de ML y LLM, desde la ingestión de datos, el entrenamiento y el despliegue hasta la optimización continua.
  • Understanding of data engineering principles
  • Skilled at translating ambiguous product requirements into a technical roadmap
  • Experience using data and primary research to inform solution design and build business understanding
  • Familiarity with Agile teams, Jira, and the software development lifecycle
  • 8+ years of product management experience in technology, technology-enabled services, or SaaS
  • Knowledge of APIs, DevOps, enterprise software development, and cloud infrastructure (e.g., Databricks, AWS, GCP, Azure)
  • Strong understanding of artificial intelligence and/or machine learning technologies
  • Ability to communicate technical trade-offs to non-technical stakeholders
  • Deep knowledge of AI/ML product lifecycle, MLOps, and scalable AI infrastructure (training, deployment, monitoring, observability, reliability)
  • Experience leading AI/ML platform products and scaling platforms vertically and horizontally
  • Track record of building and launching AI/ML platforms, tools, or internal services
  • Fluency in translating technical concepts into value propositions and storytelling for diverse stakeholders
  • Experience with large language models (LLMs) and generative AI technologies, including prompt engineering strategies and VLMs
  • Sitting for prolonged periods of time. Extensive use of computers and keyboards. Occasional walking and lifting may be required
  • Clinical Data Literacy: Familiarity with EHR data, Claims, or population health datasets
  • Background as a data scientist or backend engineer
  • Experience in healthcare technology environments, particularly physician-facing products or work with clinical datasets (EHR, Claims, Population Health datasets)

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