AI-Driven Decision Engine Ownership

• Lead the design and evolution of the Decision Engine as the core orchestration layer that governs personalized care delivery at scale
• Collaborate with engineering and data science to build hybrid decision systems that combine rule engines, ML predictions, and generative AI workflows (e.g., retrieval-augmented generation, decision-tree agents)
• Implement modular workflows, decision graphs, and care logic frameworks that can adapt to various clinical use cases, in collaboration with cross-functional teams
• Develop internal configuration tools that allow clinical operations and implementation teams to define and simulate care pathways without direct engineering involvement
• Ensure all decision logic aligns with clinical protocols, care management standards, and billing requirements
• Expand the engine’s scope to incorporate behavior nudges, care plan updates, and contextual recommendations using AI-driven insight

Product Development and Execution

• Translate strategic priorities into actionable product design and iterative delivery plans
• Work closely with clinical operations and engineering to define schemas, logic states, input-output contracts, and observability pipelines for decision logic
• Define and track key metrics such as decision accuracy, drop-off analysis, care plan adherence, and engine performance
• Partner with implementation and enterprise teams to map client needs into configurable, scalable engine workflows
• Oversee end-to-end system integrity, including testing frameworks, rule versioning, and fail-safe conditions for logic and AI outputs

Strategic Expansion and Platform Integration

• Align engine design with long-term platform goals including AI-powered coaching, real-time care adjustment, and outcomes tracking
• Lead integration of new models, workflows, or third-party components into the engine’s architecture
• Collaborate with data and engineering teams to support value-based care models, program documentation standards, and emerging business models
• Work cross-functionally to define how decision logic supports member outcomes, operational efficiency, and client ROI
• Support future initiatives that apply AI to enhance the intelligence, adaptability, and personalization of Foodsmart’s care platform

You have

• 8+ years of product management experience, with a focus on complex platform systems, intelligent workflows, or AI infrastructure, ideally within the healthcare industry
• Proven success delivering systems that include rules engines, workflow orchestration, care coordination, or AI-powered decision systems
• Experience designing or working with rules frameworks (e.g., Camunda, Drools, AWS Step Functions) or workflow engines for dynamic execution paths
• Strong technical fluency and experience working with engineers and data scientists to model logic, build state machines, or implement AI/ML solutions in production
• Comfortable translating ambiguous clinical or operational requirements into modular, testable product structures
• Familiarity with care coordination, clinical decision support, and value-based care mechanisms is preferred
• Clear communicator and systems thinker with a bias toward simplification and scalability

Nice-to-Haves

• Experience working with AI agent frameworks (e.g., LangChain, Semantic Kernel, custom orchestration layers)
• Exposure to prompt engineering, fine-tuning, or retrieval-augmented generation pipelines in real-world applications
• Familiarity with low-code/no-code platforms for logic configuration and rules-based decision tools
• Background in building or integrating clinical decision support systems, digital therapeutics, or care plan management tools

Why Join Us

• Build the core intelligence driving Foodsmart’s personalized healthcare platform at scale
• Apply your experience in AI systems, workflow design, and decision modeling to improve health outcomes
• Work in a fast-moving, collaborative, and purpose-driven team passionate about scalable care powered by clinical logic and AI