Jobs at Omada Health

Leads multiple engineering squads building Omada’s AI-powered coaching experience from prototype through production. Owns prioritization, delivery, cycle time, architecture, operational reliability, and technical standards while remaining hands-on in code and AI agent workflows. Partners with Product Strategists, develops engineering managers and technical leaders, plans team growth, evaluates AI quality, and improves engineering-wide processes. Requires substantial software engineering and people-management experience, production AI delivery, cross-stack technical judgment, and expertise in operational tooling.

Lead product marketing strategy for Omada’s GLP-1 and cardiometabolic health offerings. Own positioning, buyer segmentation, value stories, go-to-market planning, launches, sales enablement, competitive intelligence, and business-case tools. Partner with sales, product, clinical, finance, strategy, and channel teams to improve commercial effectiveness through win-loss analysis and field feedback. Manage and develop one product marketer while remaining hands-on in strategic initiatives and core deliverables.

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

Staff Software Engineer responsible for architecting and delivering backend-focused member and care team experiences. The role partners with product and clinical teams, sets technical direction, builds scalable and secure systems, maintains high-quality tested code, mentors engineers, and guides architecture across the stack. Responsibilities include API design, cloud infrastructure, CI/CD, observability, and thoughtful use of AI-assisted development tools.

Leads ambiguous, high-impact product and design initiatives from problem framing through validated experiences and launch. Owns product direction, multi-quarter roadmaps, prioritization, vision, prototyping, research, data-informed decisions, executive communication, and cross-functional alignment. Partners with engineering, clinical, legal, regulatory, operations, and commercial teams while using AI-assisted tools to accelerate research, design, specification, and analysis.

Own Omada Health’s employer sales business, driving new and expansion bookings across employer segments. Develop go-to-market, segmentation, channel, pricing, and coverage strategies; lead strategic enterprise deals and executive relationships; coach sales leaders; build a scalable, high-performing sales organization; and influence product, clinical, marketing, payer, finance, and customer success decisions. The role requires extensive enterprise healthcare sales leadership, employer ecosystem expertise, and experience scaling teams and complex commercial partnerships.

Build and maintain automation, integrations, file-processing tools, migrations, and other software that reduces operational toil. Investigate root causes, resolve implementation and escalation issues, develop reusable solutions, and support systems through on-call participation. Partner with commercial, product, and engineering teams while using Ruby on Rails, APIs, workflow automation platforms, and AI-assisted development. The role also involves debugging, optimization, code quality, and ramping onto unfamiliar systems.

Designs and delivers complex cross-system integrations, APIs, automation workflows, and reusable engineering solutions. Diagnoses root causes, improves reliability, documents risks and runbooks, participates in on-call support, and partners with commercial, product, and engineering stakeholders. The role also mentors engineers and non-engineers, guides technical trade-offs, scopes ambiguous problems, and delivers measurable operational improvements.

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 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.

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.