Omada Health

Role Description We are hiring a Staff Software Engineer to help expand Omada’s footprint in cardiometabolic care and physical activity. This is early-stage, high-ownership work: you’ll shape how we build new member- and care team-facing experiences in this space and set the technical foundation for where we take it next. - You’ll operate primarily in the backend while bringing the adaptability to work across the stack when the problem calls for it. - You should be comfortable learning new systems quickly, using modern engineering and AI-assisted tools thoughtfully, and making pragmatic technical choices in ambiguous spaces. - You’ll own architecture end to end, set the quality bar, and help other engineers make better technical decisions while turning complex product opportunities into shipped, reliable systems. Qualifications - 10+ years of experience writing readable, tested, and efficient code. - A polyglot builder mindset: strong in at least one of our modern backend languages but able to move fluidly across the stack optimizing for shipping the right solution. - Experience with Ruby or Python. - Experience with a relational database (PostgreSQL, MySQL). - Experience with designing scalable, maintainable and secure APIs. - Experience with CI/CD pipelines. - Familiarity with LLMs and GenAI best practices. - Proven experience using AI-assisted development workflows to move quickly from ambiguity to shipped, resilient product experiences. - Familiarity with cloud infrastructure (AWS preferred), and deployment tools (Kubernetes, Docker). - Understanding of logging, monitoring and telemetry. - Understanding of DevOps concepts and principles. - Interest in learning new tools, languages, workflows, and philosophies to grow. - Excellent communication and collaboration skills (verbal and written). Requirements - Partner with product, clinical, and cross-functional teams to turn vision into shipped product. - Own architecture and technical direction end to end for new member- and care team-facing experiences. - Apply broad technical judgment across languages, frameworks, and systems, using modern engineering and AI-assisted tools to quickly build context, evaluate tradeoffs, and guide delivery. - Set the quality bar: clean, well-tested, scalable code others build on. - Lead and multiply the team—mentor engineers, remove ambiguity, ship fast. - Set 6–12 month technical direction and spot high-value work before it’s on the roadmap. Benefits - Competitive salary with generous annual cash bonus. - Equity grants. - Remote first work from home culture. - Flexible Time Off to help you rest, recharge, and connect with loved ones. - Generous parental leave. - Health, dental, and vision insurance (and above market employer contributions). - 401k retirement savings plan. - Lifestyle Spending Account (LSA). - Mental Health Support Solutions. - ...and more!

• Design, build, and maintain reusable feature datasets that support machine learning use cases including personalization, engagement, risk prediction, churn modeling, recommendation systems, and experimentation. • Establish self-service foundations that streamline and democratize dataset creation across the data organization. • Partner with Data Scientists to translate modeling requirements into production-ready feature pipelines, supporting the full model lifecycle from exploration to deployment. • Identify source data, transformations, and historical windows needed for feature engineering. Help define and build shared, reusable feature definitions across models rather than one-off datasets. • Balance features freshness, correctness, latency, and computational efficiency when designing data pipelines. • Build datasets that support both historical model training and future production inference. • Design and implement batch and streaming pipelines that transform raw healthcare, behavioral, product, and operational data into trusted ML-ready datasets. • Build reliable data processing systems using Python, SQL, Spark, and modern cloud data platforms. • Optimize large-scale distributed processing for performance, scalability, and cost. • Design data pipelines that are modular, testable, observable, and easy to evolve as product requirements change. • Ensure data quality through testing, anomaly detection, schema validation, and pipeline monitoring. • Partner with platform teams to support near real-time feature generation where appropriate. • Improve reproducibility by standardizing feature computation across experimentation and production. • Support rapid experimentation without sacrificing long-term maintainability. • Establish engineering standards for correctness, documentation, and maintainability. • Familiarity with feature stores or feature management platforms. • Familiarity with model training pipelines and MLOps workflows.

Title: Senior Software Engineer Location: United States Job Description: Job overview: Omada Health is a digital care provider that empowers people to achieve their health goals through sustainable behavioral change. We are on a mission to inspire and engage people in lifelong health, one step at a time. We are looking for a software engineer to help drive us forward in achieving that goal. Great software is the key to providing effective care at scale. We hire passionate, creative people and give them the autonomy to do great work. Our software engineers are comfortable dealing with high-level specifications, working independently and in small teams, and are heavy contributors in the product process from idea to production. About you: You work with empathy for your coworkers, stakeholders and users. You are excited to work cross-functionally with a variety of people and ideas. You work directly with stakeholders to design solutions and drive the technical decisions for delivery. You proactively keep up with technology trends and can assess technical trade-offs between solutions across service boundaries. You care about writing quality software and recognize that there are often many right answers. You are excited about the challenge of learning new technologies and context. You are enthusiastic about providing the best possible care for our members. What you’ll be doing: - Work with product managers, designers and a diverse group of talented engineers to build the backends that power our mobile applications underpinning the overall experience for our members and the web applications that enable our providers to deliver world class digital healthcare. - Deliver high-quality web application code, maintaining site stability through code reviews and writing unit and integration tests, while implementing best practices for architecture, system design, and coding standards. - Dedicate 80-90% of your time to hands-on coding, serving as a technical leader and mentor to junior engineers by solving challenging programming and design problems. - Leverage AI tools in your workflow across all aspects of the software development lifecycle. - Lead large projects by anticipating infrastructure and architectural needs, and propose innovative AI solutions to complex problems. - Collaborate with AI experts to integrate AI into existing systems, leveraging their guidance as necessary. - Use your experience to influence and shape the future direction of projects and technologies, working collaboratively to adopt and advocate for new technological advancements. - Participate in our on-call rotation; triage and address reliability issues that come up in production, ensuring system stability and resolving critical problems as they arise. What you need for this role: - 7+ years of experience writing readable, tested, and efficient code - Extensive experience with Ruby on Rails - Experience with a relational database (PostgreSQL, MySQL) - Experience with designing scalable, maintainable and secure APIs - Experience with CI/CD pipelines - Familiarity with LLMs and GenAI best practices - Familiarity with AI development tools such as Cursor or Copilot - Familiarity with cloud infrastructure (AWS preferred), and deployment tools (Kubernetes, Docker) - Understanding of logging, monitoring and telemetry - Understanding of DevOps concepts and principles - Interest in learning new tools, languages, workflows, and philosophies to grow - Curiosity and care more about solving problems than being right - Excellent communication and collaboration skills (verbal and written) Technologies we use: Ruby on Rails, React, AWS (RDS with PostgreSQL, SQS), GraphQL, Docker, Kubernetes Benefits: - Competitive salary with generous annual cash bonus - Equity grants - Remote first work from home culture - Flexible Time Off to help you rest, recharge, and connect with loved ones - Generous parental leave - Health, dental, and vision insurance (and above market employer contributions) - 401k retirement savings plan - Lifestyle Spending Account (LSA) - Mental Health Support Solutions - ...and more! It takes a village to change health care. As we build together toward our mission, we strive to embody the following values in our day-to-day work. We hope these hold meaning for you as well as you consider Omada! - Cultivate Trust. We listen closely and we operate with kindness. We provide respectful and candid feedback to each other. - Seek Context. We ask to understand and we build connections. We do our research up front to move faster down the road. - Act Boldly. We innovate daily to solve problems, improve processes, and find new opportunities for our members and customers. - Deliver Results. We reward impact above output. We set a high bar, we’re not afraid to fail, and we take pride in our work. - Succeed Together. We prioritize Omada’s progress above team or individual. We have fun as we get stuff done, and we celebrate together. - Remember Why We’re Here. We push through the challenges of changing health care because we know the destination is worth it. About Omada Health: Omada Health (Nasdaq: OMDA) is reverse engineering the way healthcare is delivered in America, putting the space between doctor visits–where health is won or lost–at the center of care. Today's healthcare system poorly serves chronic conditions that require ongoing support outside of the exam room, like obesity, diabetes, hypertension, cholesterol, and musculoskeletal conditions. Omada’s virtual-first model combines human-led care teams, connected devices, and AI-enabled technology to deliver personalized care at scale, including support for GLP-1 therapy. Omada has served more than two million members since launch across 2,000+ employers, health plans, pharmacy benefit managers, and health systems. Learn more at omadahealth.com. Omada is thrilled to share that we’ve been certified as a Great Place to Work! Please click here for more information. We carefully hire the best talent we can find, which means actively seeking diversity of beliefs, backgrounds, education, and ways of thinking. We strive to build an inclusive culture where differences are celebrated and leveraged to inform better design and business decisions. Omada is proud to be an equal opportunity workplace and affirmative action employer. We are committed to equal opportunity regardless of race, color, religion, sex, gender identity, national origin, ancestry, citizenship, age, physical or mental disability, legally protected medical condition, family care status, military or veteran status, marital status, domestic partner status, sexual orientation, or any other basis protected by local, state, or federal laws. Below is a summary of salary ranges, by geographic zone, for this role*. These ranges represent a good faith estimate of the minimum and maximum base salary for the position in that zone at the time of posting. Please refer to this resource for detail on zone designations. Zone 1: $179,400 - $224,300 Zone 2: $171,600 - $214,500 Zone 3: $156,000 - $195,000 Please note that zones may be updated as market data changes but we will honor the range applicable to your zone (which is determined by your location) as of your application date. *The actual offer, including the compensation package, will be within the posted range for the relevant zone and will be determined based on multiple factors, such as the candidate's skills and experience, and other business considerations such as internal equity. Please click here for more information on our Candidate Privacy Notice.

• Design, build, and operate scalable Data & AI platform capabilities for analytics, data science, and Generative AI use cases with strong practices around data quality, lineage, observability, security, and governance. • Develop reusable abstractions, templates, services, and workflows that standardize how teams build and manage data pipelines and data products. • Partner with Analytics, Applied-AI, Data-engineering and application teams to deliver platform capabilities that support business and clinical decision-making • Evaluate and integrate modern data and AI technologies with a focus on scalability, reliability, developer experience, and cost efficiency • Apply Generative AI technologies to improve data enablement, documentation, discovery, workflow automation, and platform usability • Promote software engineering best practices, including clean code, automated testing, CI/CD, infrastructure-as-code, monitoring, and secure data handling

• Manage Omada’s HIPAA privacy program, including policy and procedure development, incident investigations, and breach determination and response, ensuring compliance with HIPAA Privacy, Security, and Breach Notification Rules. • Drive privacy-by-design across digital products and services by embedding privacy requirements into product development, engineering workflows, clinical operations, and other business processes. • Execute Omada’s privacy risk assessment program, including data governance, vendor due diligence, and privacy review for commercial deals with employers, health plans, and PBMs, ensuring our contractual and regulatory obligations are met. • Provide expert guidance on consumer privacy compliance, including state consumer health data and general consumer privacy laws, digital advertising, and tracking technologies. • Serve as a key advisor on AI and emerging technologies, including AI privacy guidance and governance considerations across Omada’s AI and machine-learning initiatives. • Support interoperability and health information exchange participation (e.g., Carequality, CommonWell, TEFCA) by counseling on privacy and data use requirements and helping design compliant data flows. • Partner with internal stakeholders on ERISA and self-funded health benefit plan privacy considerations. • Support clinical research privacy compliance and IRB-adjacent work. • Design and deliver privacy training, awareness, and culture-building initiatives that enable Omada teammates to understand and live our privacy obligations in their day-to-day roles.

• Lead research and development of individual- and population-level health trajectory models that predict future member states, risks, and likely progression paths using messy, real-world longitudinal healthcare data. • Produce high-quality experimental evidence and technical recommendations that can lead to tangible product features and have a real impact on individual and population health trajectories. • Lead the design of next-best-action algorithms that convert predicted trajectories into intervention decisions tailored to a member’s current context and likely future path. • Research and apply advanced decision and recommendation policies to safely optimize intervention choice in a healthcare environment. • Define objective functions, reward signals, and policy constraints that balance engagement, clinical effectiveness, fairness, and operational feasibility, partnering with product and clinical teams to ensure outputs are actionable and interpretable. • Serve as the senior scientific lead for algorithmic and evaluation rigor in trajectories and next-best-action, setting standards for problem formulation, evaluation, and publication-quality analysis. • Mentor other scientists and data scientists on advanced methods in temporal modeling, reinforcement learning, and causal inference. • Collaborate closely with platform, MLOps, and product engineering teams to ensure research outputs can be productionized reliably and monitored appropriately.

Role Description We are seeking a highly skilled and motivated Data Engineer to join our team. The ideal candidate will be responsible for designing, building, and maintaining robust data architectures and engineering data models and pipelines. This role will play a critical part in ensuring the integrity, scalability, and performance of our data processing and products. - Data Architecture: Design, develop, and implement scalable, secure, and efficient data solutions that meet the needs of the organization. - Data Modeling: Create and maintain logical and physical data models to support business intelligence, analytics, and reporting requirements. - Pipeline Engineering: Design, build, and optimize ETL (Extract, Transform, Load) processes and data pipelines to ensure smooth and efficient data flow from various sources. - Data Integration: Integrate diverse data sources, including APIs, databases, and third-party data, into a unified data platform. - Performance Optimization: Monitor and optimize the performance of data systems and pipelines to ensure low latency and high throughput. - Data Quality and Governance: Implement data quality checks, validation processes, and governance frameworks to ensure the accuracy and reliability of data. - Collaboration: Partner closely with data scientists, analysts, and other stakeholders to understand data requirements and deliver solutions that meet their needs. - Documentation: Maintain comprehensive documentation of data architectures, models, and pipelines for ongoing maintenance and knowledge sharing. - Training: Train and collaborate with teammates effectively in data engineering best practices. - Technical Influence/Leadership: Recommend policy changes and establish department-wide procedures. Use extensive experience and knowledge to resolve complex problems. - Monitor and manage production environment to deliver data within defined SLAs. Qualifications - 5+ years of experience building, maintaining, and orchestrating scalable data pipelines. - 3+ years of experience as a data engineer developing or maintaining integration with software such as Airflow or any Python-based data pipeline codebase. - Experience applying a variety of integration patterns for different use cases. - Experience in backend software development to contribute to distributed computing development and data technologies. - Experience implementing data pipelines and improving the performance of ETL processes and related SQL queries. - Experience in data modeling for OLTP and OLAP applications. - Experience with Cloud platforms such as Amazon AWS. - Familiarity with workflow management tools (Airflow preferred). - Familiarity with cloud-based data warehouses (Amazon Redshift preferred). - Exceptional problem-solving and analytical skills. - Experience working with sensitive data (e.g., PHI / PII) & security best practices. - Familiarity with data governance practices and principles. Requirements - Proficiency in SQL and experience with relational databases (e.g., MySQL, PostgreSQL). - Proficiency in Analytical SQL and experience working with massive parallel processing (MPP) databases (e.g., Redshift, BigQuery, Snowflake). - Proficiency in programming languages such as Python, Java, or Scala. - Knowledge of data modeling techniques (3NF) and tools (e.g., ER/Studio, ERwin). - Software Engineering Mindset: Apply best practices to write elegant, maintainable code and understand automated testing concepts. - Familiarity with business intelligence tools and environments. - Familiarity with big data technologies (e.g., Lambda, Iceberg or Delta Lake, Spark, or Kafka). - Excellent communication and collaboration skills, both written and verbal. - Self-Directed: Leading projects and tasks effectively with cross-functional stakeholders with minimal guidance. Benefits - Competitive salary with generous annual cash bonus. - Equity grants. - Remote first work from home culture. - Flexible Time Off to help you rest, recharge, and connect with loved ones. - Generous parental leave. - Health, dental, and vision insurance (and above market employer contributions). - 401k retirement savings plan. - Lifestyle Spending Account (LSA). - Mental Health Support Solutions. - ...and more!

• Establish and execute a strategic roadmap for Omada's Data Engineering platform. • Lead the delivery of scalable, reliable, and governed data products that enable analytics, reporting, experimentation, and AI-driven insights. • Deliver trusted, reusable production datasets that power Applied Data Science, Product, Clinical, Commercial, Finance, Operations, and Executive analytics. • Lead, develop and grow a high-performing Data Engineering organization through hiring, coaching, mentoring, and career development. • Foster a culture of technical excellence, collaboration, accountability, and continuous learning. • Empower teams to deliver high-impact solutions while maintaining a strong focus on quality and operational excellence. • Partner with Product, Analytics, Data Science, Architecture, Governance, and Engineering leaders to define priorities and accelerate data-driven decision making across Omada. • Translate business needs into scalable platform capabilities and trusted data products. • Build strong relationships across the organization to drive alignment, transparency, and execution. • Establish engineering excellence through improved data quality, reliability, observability, security, and platform performance. • Define and monitor engineering and operational metrics to continuously improve platform health, cost efficiency, and developer productivity. • Guide adoption of Improved reliability, quality, governance, and usability of enterprise data products. • Provide technical leadership for architecture, platform evolution, scalable technologies, reusable frameworks, and engineering standards across Data Engineering. • Expand self-service analytics through trusted and reusable data capabilities. • Influence long-term technology strategy while partnering with engineering leaders across Omada to build a world-class data platform.

Role Description Omada has a dedicated AI Transformation & Enablement organization focused on embedding AI directly into how business functions operate. This team deploys senior engineers directly into functions to partner with teams, understand their workflows, and build production AI systems that drive measurable business impact. Finance is the next major deployment. As the Sr. Forward Deployed Engineer supporting Finance, you will operate as the embedded AI engineering partner for the Finance organization: - Attend planning reviews, close cycles, forecasting discussions, operational reviews, and executive preparation processes. - Understand how Finance operates today and how AI can transform it tomorrow. - Own each agent end-to-end: from discovery and prototyping to shipping, monitoring, and iterating. You will partner closely with the Sr. Director, Strategic Finance, who owns the Finance AI roadmap and business prioritization, while remaining part of Omada’s AI Transformation & Enablement engineering organization. This role is highly cross-functional and combines elements of: - AI engineering - Systems integration - Workflow automation - Product thinking - Business partnership - Organizational enablement You will design, build, deploy, monitor, and continuously improve AI-powered systems that help Finance teams operate more efficiently, improve accuracy and consistency, accelerate decision-making, and scale institutional knowledge. The systems you build will operate within a highly regulated and compliance-sensitive environment that includes SOX, HIPAA, security, and data governance considerations. Qualifications - 5+ years of experience building and deploying software, data, automation, or AI-powered applications. - 2+ years of recent hands-on experience building LLM-based or AI-enabled systems in production environments. - Strong experience designing AI workflows including retrieval systems, orchestration patterns, tool usage, evaluation frameworks, and multi-step reasoning systems. - Strong proficiency in Python and experience building production-quality backend services, APIs, integrations, and automation workflows. - Experience integrating enterprise systems and operational data into AI-enabled workflows. Requirements - Experience working with enterprise business systems such as ERP, planning, financial, or operational platforms. - Experience designing retrieval or contextual knowledge systems across large document and metric corpora. - Familiarity with structured and unstructured enterprise data environments. - Understanding of operational monitoring, evaluation, and observability concepts for AI systems. - Excellent communication and stakeholder management skills. - Proven ability to partner directly with non-technical teams and translate business workflows into scalable technical solutions. - Experience enabling business users through training, documentation, and operational coaching. - Comfortable operating within highly cross-functional and rapidly evolving environments. Benefits - Competitive salary with generous annual cash bonus. - Equity grants. - Remote first work from home culture. - Flexible Time Off to help you rest, recharge, and connect with loved ones. - Generous parental leave. - Health, dental, and vision insurance (and above market employer contributions). - 401k retirement savings plan. - Lifestyle Spending Account (LSA). - Mental Health Support Solutions. - ...and more!

• Drive the execution of GLP-1 solutions within the cardiometabolic platform • Coordinate across product, clinical, data science, engineering, and commercial teams • Lead day-to-day execution of GLP-1 program initiatives • Track and report on program OKRs and KPIs • Develop and manage reporting and dashboards for program performance • Coordinate with clinical, commercial, product, engineering, operations, and regulatory partners