Jobs at Omada Health

Design and build web applications supporting member enrollment, including eligibility verification, benefit matching, signup, and activation. Write tested, maintainable code; design scalable APIs; participate in architecture and technical decisions; use AI coding agents throughout development; collaborate with Product and Marketing; monitor system reliability; and participate in on-call support for the enrollment pipeline.

Own the end-to-end B2B2C enrollment funnel for Customer Success, including reporting, data modeling, funnel metrics, dashboards, attribution, and operating cadences. Identify data and process gaps, deliver decision-ready recommendations, lead stakeholder reviews, and drive cross-functional improvements across Operations, Customer Success, Marketing, and Engineering. Lead annual Customer Success planning for capacity, territories, quotas, incentives, roadmaps, and targeting.

As Chief Revenue Officer, lead Omada Health's commercial strategy to drive growth, market access, and integration of AI in operations, ensuring sustainable success across healthcare channels.

Lead backend-focused engineering to design and ship member- and care team-facing experiences. Own architecture end-to-end, set technical direction and quality standards, mentor engineers, and deliver scalable, secure APIs with CI/CD, cloud deployments, and GenAI/LLM-informed workflows.

Lead design, deployment, and monitoring of LLM-based AI solutions. Build end-to-end generative AI applications, fine-tune models, integrate LLM APIs into products, ensure post-deployment performance, and collaborate cross-functionally within an Agile environment to drive measurable business impact in healthcare.

Lead and mature Omada's enterprise privacy program, manage HIPAA compliance and incident response, embed privacy-by-design across products, conduct privacy risk assessments and vendor due diligence, advise on consumer privacy and AI governance, support interoperability/HIE participation, and deliver privacy training and guidance across the business.

Design, build, and operate scalable data and AI platform capabilities. Create reusable abstractions, templates, and services for data pipelines and products. Integrate Generative AI for discovery and automation, ensure data quality, lineage, observability, security, and support cross-functional analytics and applied-AI teams.

Embed with Finance to design, build, and operate production AI systems that integrate with ERP and data platforms, enable conversational and retrieval-based workflows, automate financial quality controls, surface operational intelligence, and support executive reporting. Own end-to-end delivery from discovery through deployment, monitoring, evaluation, and enablement while ensuring governance, compliance, and stakeholder adoption.

Design, build, and maintain scalable, secure data architectures, models, and ETL pipelines. Integrate diverse data sources, optimize performance and data quality, implement governance, monitor production SLAs, and collaborate with data scientists, analysts, and product teams. Provide technical leadership, documentation, and training to improve engineering practices across the organization.

Lead research and development of longitudinal health trajectory models and next-best-action decision algorithms. Translate member data into deployable, clinically meaningful models, set evaluation standards, mentor scientists, and collaborate with product, engineering, and clinical teams to productionize and monitor ML solutions that optimize interventions and health outcomes.

Lead and grow a Data Engineering organization to design, build, and operate scalable, governed data pipelines and enterprise data products. Define technical strategy and roadmap, improve data quality, reliability, observability and governance, partner with cross-functional teams, and drive platform evolution to enable analytics, ML, reporting, and self-service insights.

Lead design and implementation of scalable backend systems that ingest, process, and serve high-volume health data. Own projects end-to-end, drive integrations with third-party APIs, improve data reliability and observability, mentor engineers, and partner with product, clinical, and data teams to deliver clinically meaningful insights.

Lead the technical development and automation of enrollment forecasting models, collaborating with various departments to enhance decision-making and forecast accuracy.

Lead enablement strategy and scalable operations for Customer Success Managers, translating customer and field feedback into roadmaps, resources, AI-enabled workflows, and self-serve tools. Partner cross-functionally to prioritize work that improves customer conversations, retention, and growth while modernizing knowledge management, communications, and intake systems to reduce manual work and increase team efficiency.

Lead national new business growth for enterprise employer segments at Omada Health, focusing on achieving revenue goals and strategic alignment across departments.

Lead cross-functional Engineering, Product, and Design execution for large, complex initiatives. Own integrated launch planning, risk and dependency management, metrics/OKRs, stakeholder alignment, and program rituals to ensure disciplined delivery and measurable business/member impact.

Lead design of AI-supported member and care experiences, defining interaction models, prototyping AI-driven flows, and designing service blueprints. Partner with product, engineering, data, clinical, and research teams to translate AI capabilities into trustworthy, clinically appropriate, and scalable experiences. Create prototypes, design artifacts, evaluation loops, and influence senior stakeholders to align user needs, business goals, and technical constraints.

Lead Omada's investor relations and capital markets strategy as a public company: craft and communicate the equity story, engage investors and analysts, manage earnings and disclosure processes, analyze investor models and ownership trends, and partner with Finance, Legal, and executives on guidance, investor targeting, and capital-markets activities.