Hiring: Senior Technical Product Manager (AI Data Platform), Remote Company: Aledade Location: United States Job Posted Time: 2026-09-17 02:44:36 Employment Type: Remote Target Skills & Keywords : AI, AWS, Agile, Azure, Databricks, EHR, GCP, Jira, LLM, MLOps, Machine Learning, Product Management, SaaS About the job Experience: •8+ years of product management experience in technology, technology-enabled services industry, or a SaaS product. Required Skills: •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 •Interface directly 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. Qualifications: •Robust understanding of artificial intelligence and/or machine learning, and related technologies. •In-depth knowledge 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 •Demonstrated success in building and launching AI/ML platforms, tools, or internal services that enable other product teams. •Comprehensive expertise in the AI/ML product lifecycle, MLOps, and scalable AI infrastructure (e.g., model training, deployment, monitoring, observability, reliability). •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. Compensation: •Flexible work environment (work from home / hybrid options) •Competitive benefits and rewards package •Health, dental and vision insurance paid up to 80% for employees, dependents and domestic partners 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!