Keebler Health

Business Development Rep

• Proving skills by escaping from the Keebler Health escape room
• Identifying prioritized accounts
• Crafting responses and sending application documents
• Optional contribution to pranking division
• Collaboration with hiring manager

Business Development Representative

Chief of Staff

• Shape critical systems and innovate quickly within the healthcare sector
• Act as a force multiplier for leadership
• Ensure high-velocity execution across functions

Full-stack Engineer

• Design and develop user-facing applications using React and modern front-end tooling.
• Build and maintain backend services using Python, focusing on scalability, reliability, and performance.
• Implement APIs and service integrations that support complex healthcare workflows.
• Collaborate closely with product and design teams to deliver intuitive, high-quality user experiences.
• Design and implement durable, fault-tolerant workflows using Temporal.io.
• Model and manage long-running, stateful healthcare processes (e.g., care gaps, quality measures, documentation workflows).
• Ensure system resilience, observability, and graceful failure handling in distributed systems.
• Optimize backend services for performance and cost efficiency.
• Work with healthcare data and workflows while adhering to security and compliance requirements (e.g., HIPAA).
• Integrate with healthcare standards and systems such as FHIR and interoperability APIs.
• Partner with clinical and operations stakeholders to translate real-world workflows into robust technical solutions.
• Contribute to production-ready systems with strong testing, monitoring, and deployment practices.
• Collaborate on CI/CD pipelines and infrastructure supporting cloud-based deployments.
• Debug and resolve issues across the stack in production environments.
• Work cross-functionally with engineers, product managers, designers, and clinicians.
• Communicate technical concepts clearly to both technical and non-technical stakeholders.
• Take ownership of features from concept through production and iteration.

Full-Stack Engineer – Healthcare Platforms

Data Engineer

• Design, build, and maintain scalable, efficient data pipelines for ETL/ELT processes on AWS.
• Develop, test, and deploy robust solutions using SQL and Python for data transformation and analysis.
• Implement and manage data warehousing solutions using Redshift Serverless and other AWS data services.
• Leverage dbt (Data Build Tool) for data modeling, transformation, and documentation.
• Utilize workflow orchestration tools such as Temporal for pipeline automation.
• Work with healthcare quality metrics for value-based care and ensure data alignment with industry standards.
• Collaborate with stakeholders to integrate population health tools and analytics into data workflows.
• Develop and maintain familiarity with FHIR data models and healthcare interoperability standards.
• Ensure compliance with HIPAA and other healthcare regulatory requirements in all data handling processes.
• Identify and resolve performance bottlenecks in data pipelines, ensuring high availability and reliability.
• Optimize data storage and querying performance within Redshift Serverless and AWS infrastructure.
• Stay current with emerging trends in data engineering and healthcare technology.
• Partner with data and engineering teams to ensure data is accessible and meets business requirements.
• Develop scalable solutions for integrating complex healthcare datasets, ensuring data quality and accuracy.
• Contribute to the design and implementation of secure, scalable, and efficient data architecture on AWS.

Data Engineer – Health Data Metrics

AI Engineer

• Fine-tune and optimize large language models (LLMs) to address specific healthcare applications.
• Develop and apply advanced prompt engineering techniques to enhance model outputs for clinical scenarios.
• Implement Retrieval-Augmented Generation (RAG) systems to improve knowledge retrieval from large datasets.
• Collaborate with healthcare professionals to understand workflows and identify opportunities for AI-driven enhancements.
• Design and build AI models that align with healthcare standards and regulations (e.g., HIPAA compliance).

AI Engineer – LLMs for Healthcare

Director

• Own the end-to-end implementation lifecycle for newly signed customers, from contract signature through go-live and handoff to account management.
• Translate commercial agreements, clinical requirements, and data realities into clear implementation plans and executable workflows.
• Lead and coordinate engineers, data teams, and clinical stakeholders to design and build customer-specific implementations.
• Serve as the primary implementation lead and decision-maker for customers, establishing credibility with provider and payer operational, technical, and clinical leaders.
• Define and own implementation outcomes by setting clear success criteria, timelines, and milestones aligned with business and customer goals.
• Make tradeoff decisions across scope, sequencing, and technical approach to ensure timely delivery without sacrificing quality or safety.
• Develop and refine repeatable implementation patterns, tooling, and best practices to improve speed, quality, and scalability over time.
• Identify implementation risks early and proactively resolve blockers across product, engineering, clinical, and commercial teams.
• Partner closely with Sales, Product, Engineering, and Clinical leadership to continuously improve how Keebler Health delivers value to customers.

Director of Implementation

Product Manager

• Lead the product discovery, definition, and positioning for a core product line with direct business impact, working closely with the CEO and cross-functional teams.
• Own product outcomes by setting clear, measurable goals that align with Keebler Health’s strategic priorities and mission to drive value-based care.
• Collaborate with design, engineering, clinical, and AI research teams to create innovative solutions, ensuring the product experience meets clinical and business needs.
• Conduct deep user research with customers to identify key pain points, uncover opportunities, and validate concepts.
• Champion product discovery techniques to ensure each feature of this new product line is built to solve the right problems in the most effective way.
• Define and prioritize features based on a clear understanding of business goals, customer needs, and technical feasibility.
• Drive continuous product improvement by analyzing user feedback, market trends, and product performance data to inform future iterations.