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The Senior EPD Operations Manager orchestrates Engineering, Product, and Design (EPD) teams to deliver major, complex initiatives in a cohesive, reliable way.</p>\n<p>Operating above individual workstreams, you align multiple teams around clear member and business value, and partner closely with Product Managers to translate strategic decisions into a coherent, executable launch plan with strong sequencing, risk visibility, and executive communication.</p>\n<p>Your Impact:</p>\n<ul>\n<li>Provide the operational rigor behind the integrated EPD launch plan for large, complex, highly technical initiatives spanning multiple teams and products.</li>\n<li>Operate above individual workstreams, owning the discussion that brings Engineering, Product, and Design leaders together to align on milestones, dependencies, critical path, and deliverables.</li>\n<li>Maintain a high-confidence view of status, risks, dependencies, and decisions across all workstreams, and drive resolution when plans drift or assumptions break.</li>\n<li>Drive teams to plan ahead and execute against the roadmap, holding them accountable, surfacing slippage early, and pushing for progress so commitments are met.</li>\n<li>Guide cross-functional leadership through difficult planning and resourcing trade-offs, escalating org-wide trade-offs when needed.</li>\n<li>Refine and set up the rituals and cadences around metrics monitoring and team-level planning with Product Managers.</li>\n<li>Build tools and processes that help EPD teams deliver against key business goals, and drive adoption of new standards within your programs.</li>\n<li>Help teams define, instrument, and report against quantitative goals, OKRs, and metrics.</li>\n<li>Connecting execution signals to OKRs, member impact, and business outcomes so leadership sees both what’s on track and whether it’s moving the right numbers.</li>\n<li>Serve as the key liaison across Engineering, Product, Design, Clinical, Care Delivery, Commercial, Compliance, Legal, Infosec, and Privacy, aligning stakeholders toward unified decisions.</li>\n<li>Act as an EPD point of contact for triaging Commercial questions about the products in your scope.</li>\n<li>Facilitate integrated planning, dependency and risk reviews, readiness checkpoints, go/no-go discussions, and retrospectives.</li>\n<li>Surface trade-offs, escalation paths, and recommendations to leadership, serving as the primary EPD narrator for delivery health with crisp, decision-ready updates.</li>\n<li>Improve how launches run over time by refining operating rhythms, readiness criteria, templates, and retrospective learnings.</li>\n</ul>\n<p>About you:</p>\n<ul>\n<li>7+ years across product/technical program management, product management, general management, consulting, or product/business operations.</li>\n<li>Excellent written and oral communication with executive presence.</li>\n<li>Ability to see and help others see the big picture and drive toward it, operating above the team level yet diving into detail when needed.</li>\n<li>Demonstrated experience in owning cross-team execution rigor on technically complex, multi-team initiatives.</li>\n<li>Experience guiding teams to define goals, generate hypotheses, set metrics, execute, review, and pivot on early signals to deliver results.</li>\n<li>Demonstrated experience defining and reporting against quantitative goals/OKRs/metrics, using qualitative and quantitative findings including for market analysis.</li>\n<li>Strong understanding of how Engineering, Product, and Design organizations operate, including roadmap planning, dependencies, and release sequencing.</li>\n<li>Enough technical depth to see the seams (systems, dependencies, architecture trade-offs) and to partner credibly with engineers and technical leads, without needing to be one.</li>\n<li>Excellent organizational and analytical skills, thrives on attention to detail and process efficiency.</li>\n<li>Strong relationship skills, with the ability to read team dynamics, plus high EQ across functions.</li>\n</ul>\n<p>Benefits:</p>\n<ul>\n<li>Competitive salary with generous annual cash bonus</li>\n<li>Equity grants</li>\n<li>Employee stock purchasing plan (ESPP)</li>\n<li>Remote first work from home culture</li>\n<li>Flexible Time Off to help you rest, recharge, and connect with loved ones</li>\n<li>Generous parental leave</li>\n<li>Health, dental, and vision insurance (and above market employer contributions)</li>\n<li>401k retirement savings plan</li>\n<li>Lifestyle Spending Account (LSA)</li>\n<li>Mental Health Support Solutions</li>\n</ul>","enriched_at":1785549737912},{"id":"job_069287c2-807","title":"Staff Software Engineer","source_url":"https://job-boards.greenhouse.io/omadahealth/jobs/8074669","location":"Remote, USA","job_type":"full-time","experience_level":"staff","work_arrangement":"remote","category":"Engineering","description":"<p>Omada Health is on a mission to bend the curve of chronic disease.</p>\n<p>We are hiring a Staff Software Engineer to help expand Omada&#39;s footprint in cardiometabolic care and physical activity. This is early-stage, high-ownership work: you&#39;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.</p>\n<p>You&#39;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.</p>\n<p><strong>Responsibilities</strong></p>\n<ul>\n<li>Partner with product, clinical, and cross-functional teams to turn vision into shipped product.</li>\n<li>Own architecture and technical direction end to end for new member- and care team-facing experiences.</li>\n<li>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.</li>\n<li>Set the quality bar: clean, well-tested, scalable code others build on.</li>\n<li>Lead and multiply the team,mentor engineers, remove ambiguity, ship fast.</li>\n<li>Set 6–12 month technical direction and spot high-value work before it&#39;s on the roadmap.</li>\n</ul>\n<p><strong>Requirements</strong></p>\n<ul>\n<li>10+ years of experience writing readable, tested, and efficient code</li>\n<li>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</li>\n<li>Experience with Ruby or Python</li>\n<li>Experience with a relational database (PostgreSQL, MySQL)</li>\n<li>Experience with designing scalable, maintainable and secure APIs</li>\n<li>Experience with CI/CD pipelines</li>\n<li>Familiarity with LLMs and GenAI best practices</li>\n<li>Proven experience using AI-assisted development workflows to move quickly from ambiguity to shipped, resilient product experiences</li>\n<li>Familiarity with cloud infrastructure (AWS preferred), and deployment tools (Kubernetes, Docker)</li>\n<li>Understanding of logging, monitoring and telemetry</li>\n<li>Understanding of DevOps concepts and principles</li>\n<li>Interest in learning new tools, languages, workflows, and philosophies to grow</li>\n<li>Excellent communication and collaboration skills (verbal and written)</li>\n</ul>\n<p><strong>Benefits</strong></p>\n<ul>\n<li>Competitive salary with generous annual cash bonus</li>\n<li>Equity grants</li>\n<li>Remote first work from home culture</li>\n<li>Flexible Time Off to help you rest, recharge, and connect with loved ones</li>\n<li>Generous parental leave</li>\n<li>Health, dental, and vision insurance (and above market employer contributions)</li>\n<li>401k retirement savings plan</li>\n<li>Lifestyle Spending Account (LSA)</li>\n<li>Mental Health Support Solutions</li>\n</ul>","enriched_at":1784847835996},{"id":"job_96316726-47e","title":"Staff Software Engineer, Data Products","source_url":"https://job-boards.greenhouse.io/omadahealth/jobs/8073030","location":"Remote, USA","job_type":"full-time","experience_level":"staff","work_arrangement":"remote","category":"Engineering","description":"<p>Omada Health is on a mission to bend the curve of chronic disease. They rely on trusted, high-quality data to power intelligent products, personalized member experiences, and data-driven decision making.</p>\n<p>As a Staff Software Engineer, Data Products, you will lead the design and development of the production data platform that powers machine learning across Omada. You will partner closely with Data Scientists, Applied AI Engineers, Product Engineers, and fellow Data Engineers to identify, design, and build trusted, reusable datasets foundations that serve as the foundation for feature engineering, model training, experimentation, and production inference.</p>\n<p>Key Responsibilities:</p>\n<ul>\n<li>Design, build, and maintain reusable feature datasets that support machine learning use cases</li>\n<li>Establish self-service foundations that streamline and democratize dataset creation across the data organization</li>\n<li>Partner with Data Scientists to translate modeling requirements into production-ready feature pipelines</li>\n<li>Identify source data, transformations, and historical windows needed for feature engineering</li>\n<li>Balance features freshness, correctness, latency, and computational efficiency when designing data pipelines</li>\n<li>Build datasets that support both historical model training and future production inference</li>\n<li>Design and implement batch and streaming pipelines that transform raw healthcare, behavioral, product, and operational data into trusted ML-ready datasets</li>\n<li>Build reliable data processing systems using Python, SQL, Spark, and modern cloud data platforms</li>\n<li>Optimize large-scale distributed processing for performance, scalability, and cost</li>\n<li>Design data pipelines that are modular, testable, observable, and easy to evolve as product requirements change</li>\n<li>Ensure data quality through testing, anomaly detection, schema validation, and pipeline monitoring</li>\n</ul>\n<p>Technical Leadership:</p>\n<ul>\n<li>Lead architecture and design discussions for large-scale ML data systems</li>\n<li>Influence technical direction across multiple engineering teams</li>\n<li>Translate ambiguous business requirements from Business domain SMEs into concrete technical specs</li>\n<li>Mentor engineers on distributed data processing, software engineering best practices, and scalable data modeling</li>\n</ul>\n<p>About you:</p>\n<ul>\n<li>8+ years building large-scale production data platforms and distributed data pipelines</li>\n<li>Experience designing reusable datasets that power machine learning, experimentation, or advanced analytics</li>\n<li>Demonstrated experience partnering closely with Data Scientists to productionize feature engineering workflows</li>\n<li>Experience leading cross-team technical initiatives and influencing engineering direction</li>\n<li>Strong experience working with cloud-native data platforms such as AWS</li>\n</ul>\n<p>Technical Skills:</p>\n<ul>\n<li>Expert SQL with strong data modeling skills</li>\n<li>Strong programming skills in Python, Java, or Scala</li>\n<li>Experience with Apache Spark or similar distributed compute frameworks</li>\n<li>Experience with Airflow or similar orchestration platforms</li>\n<li>Experience designing dimensional models, event models, and feature datasets</li>\n<li>Experience implementing testing, CI/CD, observability, and production monitoring for data pipelines</li>\n</ul>\n<p>Benefits:</p>\n<ul>\n<li>Competitive salary with generous annual cash bonus</li>\n<li>Equity grants</li>\n<li>Remote first work from home culture</li>\n<li>Flexible Time Off</li>\n<li>Generous parental leave</li>\n<li>Health, dental, and vision insurance</li>\n<li>401k retirement savings plan</li>\n<li>Lifestyle Spending Account (LSA)</li>\n<li>Mental Health Support Solutions</li>\n</ul>","enriched_at":1784581434927},{"id":"job_4f7bdf7a-2f3","title":"Senior Software Engineer, Data & AI Platform","source_url":"https://job-boards.greenhouse.io/omadahealth/jobs/8055515","location":"Remote, USA","job_type":"full-time","experience_level":"senior","work_arrangement":"remote","category":"Engineering","description":"<p>Omada Health is seeking a Senior Software Engineer to help design, build, and scale modern data platform capabilities using cloud-native technologies and AI-driven solutions.</p>\n<p>In this role, you will develop reusable frameworks, platform services, and engineering patterns that enable teams to build reliable, scalable data-products and AI-powered workflows.</p>\n<p>Your Impact:</p>\n<ul>\n<li>Design, build, and operate scalable Data &amp; AI platform capabilities for analytics, data science, and Generative AI use cases with strong practices around data quality, lineage, observability, security, and governance.</li>\n<li>Develop reusable abstractions, templates, services, and workflows that standardize how teams build and manage data pipelines and data products.</li>\n<li>Partner with Analytics, Applied-AI, Data-engineering and application teams to deliver platform capabilities that support business and clinical decision-making.</li>\n<li>Evaluate and integrate modern data and AI technologies with a focus on scalability, reliability, developer experience, and cost efficiency.</li>\n<li>Apply Generative AI technologies to improve data enablement, documentation, discovery, workflow automation, and platform usability.</li>\n<li>Promote software engineering best practices, including clean code, automated testing, CI/CD, infrastructure-as-code, monitoring, and secure data handling.</li>\n</ul>\n<p>About you:</p>\n<ul>\n<li>5+ years of professional software engineering or data engineering experience building scalable data platforms, services, pipelines, or analytics infrastructure.</li>\n<li>Hands-on experience with modern data architectures, including data lakes, lakehouses, warehouses, analytical datastores, and batch or real-time processing systems.</li>\n<li>Strong programming skills in Python and SQL, with experience building production-grade data systems.</li>\n<li>Working knowledge of distributed computing and cloud-native technologies such as Spark, Kubernetes etc.</li>\n<li>Hands-on experience with Infrastructure as Code using Terraform (or a similar tool such as Pulumi, CloudFormation/CDK) to provision and manage cloud infrastructure.</li>\n<li>Experience applying data engineering best practices around data quality, lineage, governance, reliability, observability, and operational excellence.</li>\n<li>Practical experience using Generative AI tools or technologies to improve engineering workflows, automation, analytics, or data platform capabilities.</li>\n<li>Strong problem-solving, communication, and collaboration skills, with the ability to work effectively across technical and non-technical teams.</li>\n<li>Self-directed, pragmatic, and comfortable working through ambiguity in a fast-moving environment.</li>\n</ul>\n<p>Bonus Points for:</p>\n<ul>\n<li>Hands-on experience with Databricks, including Delta Lake, Unity Catalog, Workflows, Delta Live Tables, MLflow, Model Serving.</li>\n<li>Experience with NoSQL datastores, including document databases, graph databases, key-value stores, wide-column stores, or search-oriented systems.</li>\n<li>Experience with Generative AI application patterns such as RAG, knowledge-graph, etc.</li>\n<li>Experience working with sensitive data in regulated environments such as healthcare, privacy, fintech, or other compliance-heavy industries.</li>\n</ul>\n<p>Benefits:</p>\n<ul>\n<li>Competitive salary with generous annual cash bonus.</li>\n<li>Equity grants.</li>\n<li>Remote first work from home culture.</li>\n<li>Flexible Time Off to help you rest, recharge, and connect with loved ones.</li>\n<li>Generous parental leave.</li>\n<li>Health, dental, and vision insurance (and above market employer contributions).</li>\n<li>401k retirement savings plan.</li>\n<li>Lifestyle Spending Account (LSA).</li>\n<li>Mental Health Support Solutions.</li>\n</ul>","enriched_at":1784225130795},{"id":"job_a677cfe9-10e","title":"Director, Privacy Counsel","source_url":"https://job-boards.greenhouse.io/omadahealth/jobs/8060223","location":"Remote, USA","job_type":"full-time","experience_level":"senior","work_arrangement":"remote","category":"Legal","description":"<p>Omada Health is seeking a Director, Privacy Counsel to manage and mature its enterprise-wide privacy program across a complex and rapidly evolving regulatory landscape.</p>\n<p>This individual contributor role will operate at the intersection of healthcare regulatory law, consumer technology, and clinical operations, providing practical, business-oriented guidance that enables innovation while protecting Omada&#39;s members&#39; data and trust.</p>\n<p><strong>Your impact:</strong></p>\n<ul>\n<li>Manage Omada&#39;s HIPAA privacy program, including policy and procedure development, incident investigations, and breach determination and response.</li>\n<li>Drive privacy-by-design across digital products and services by embedding privacy requirements into product development, engineering workflows, clinical operations, and other business processes.</li>\n<li>Execute Omada&#39;s privacy risk assessment program, including data governance, vendor due diligence, and privacy review for commercial deals.</li>\n<li>Provide expert guidance on consumer privacy compliance, including state consumer health data and general consumer privacy laws.</li>\n<li>Serve as a key advisor on AI and emerging technologies, including AI privacy guidance and governance considerations.</li>\n<li>Support interoperability and health information exchange participation.</li>\n<li>Partner with internal stakeholders on ERISA and self-funded health benefit plan privacy considerations.</li>\n<li>Support clinical research privacy compliance and IRB-adjacent work.</li>\n<li>Design and deliver privacy training, awareness, and culture-building initiatives.</li>\n</ul>\n<p><strong>About you:</strong></p>\n<ul>\n<li>You have a J.D. from an accredited law school and active bar admission.</li>\n<li>You bring 8+ years of privacy law experience, including meaningful in-house experience at a healthcare, digital health, or life sciences company.</li>\n<li>You have deep substantive expertise in HIPAA Privacy, Security, and Breach Notification Rules.</li>\n<li>You have demonstrated experience managing end-to-end privacy incident response and breach notification processes.</li>\n<li>You have a strong track record of advising on privacy-by-design for digital products.</li>\n<li>You communicate complex regulatory concepts clearly and succinctly for non-legal audiences.</li>\n</ul>\n<p><strong>Benefits:</strong></p>\n<ul>\n<li>Competitive salary with generous annual cash bonus</li>\n<li>Equity grants</li>\n<li>Remote first work from home culture</li>\n<li>Flexible Time Off</li>\n<li>Generous parental leave</li>\n<li>Health, dental, and vision insurance</li>\n<li>401k retirement savings plan</li>\n<li>Lifestyle Spending Account (LSA)</li>\n<li>Mental Health Support Solutions</li>\n</ul>","enriched_at":1784225103531},{"id":"job_3eecbcb7-fc9","title":"Senior Software Engineer, Data Engineering","source_url":"https://job-boards.greenhouse.io/omadahealth/jobs/8052607","location":"Remote, USA","job_type":"full-time","experience_level":"senior","work_arrangement":"remote","category":"Engineering","description":"<p>Omada Health is seeking a highly skilled and motivated Senior Software Engineer, Data Engineering to join their team. The ideal candidate will be responsible for designing, building, and maintaining robust data architectures and engineering data models and pipelines.</p>\n<p>Key Responsibilities:</p>\n<ul>\n<li>Design, develop, and implement scalable, secure, and efficient data solutions that meet the needs of the organization.</li>\n<li>Create and maintain logical and physical data models to support business intelligence, analytics, and reporting requirements.</li>\n<li>Design, build, and optimize ETL processes and data pipelines to ensure smooth and efficient data flow from various sources.</li>\n<li>Integrate diverse data sources, including APIs, databases, and third-party data, into a unified data platform.</li>\n<li>Monitor and optimize the performance of data systems and pipelines to ensure low latency and high throughput.</li>\n<li>Implement data quality checks, validation processes, and governance frameworks to ensure the accuracy and reliability of data.</li>\n<li>Partner closely with data scientists, analysts, and other stakeholders to understand data requirements and deliver solutions that meet their needs.</li>\n<li>Maintain comprehensive documentation of data architectures, models, and pipelines for ongoing maintenance and knowledge sharing.</li>\n<li>Train and collaborate with teammates effectively in data engineering best practices.</li>\n<li>Recommend policy changes and establish department-wide procedures.</li>\n<li>Monitor and manage production environment to deliver data within defined SLAs.</li>\n</ul>\n<p>The successful candidate will have:</p>\n<ul>\n<li>5+ years of experience building, maintaining, and orchestrating scalable data pipelines.</li>\n<li>3+ years of experience as a data engineer developing or maintaining integration with software such as Airflow or any Python-based data pipeline codebase.</li>\n<li>Experience applying a variety of integration patterns for different use cases.</li>\n<li>Experience in backend software development to contribute to distributed computing development and data technologies.</li>\n<li>Experience implementing data pipelines and improving the performance of ETL processes and related SQL queries.</li>\n<li>Experience in data modeling for OLTP and OLAP applications.</li>\n<li>Experience with Cloud platforms such as Amazon AWS.</li>\n<li>Familiarity with workflow management tools (Airflow preferred).</li>\n<li>Familiarity with cloud-based data warehouses (Amazon Redshift preferred).</li>\n<li>Exceptional problem-solving and analytical skills.</li>\n<li>Experience working with sensitive data i.e., PHI/PII &amp; security best practices.</li>\n<li>Familiarity with data governance practices and principles.</li>\n</ul>\n<p>Technical Skills:</p>\n<ul>\n<li>Proficiency in SQL and experience with relational databases (e.g., MySQL, PostgreSQL).</li>\n<li>Proficiency in Analytical SQL and experience working with massive parallel processing (MPP) databases.</li>\n<li>Proficiency in programming languages such as Python, Java, or Scala.</li>\n<li>Knowledge of data modeling techniques and tools.</li>\n<li>Software Engineering Mindset: Apply best practices to write elegant, maintainable code and understand automated testing concepts.</li>\n<li>Familiarity with business intelligence tools and environments.</li>\n<li>Familiarity with big data technologies.</li>\n</ul>\n<p>Benefits:</p>\n<ul>\n<li>Competitive salary with generous annual cash bonus.</li>\n<li>Equity grants.</li>\n<li>Remote first work from home culture.</li>\n<li>Flexible Time Off.</li>\n<li>Generous parental leave.</li>\n<li>Health, dental, and vision insurance.</li>\n<li>401k retirement savings plan.</li>\n<li>Lifestyle Spending Account (LSA).</li>\n<li>Mental Health Support Solutions.</li>\n</ul>","enriched_at":1784135234092},{"id":"job_583a6483-d12","title":"Senior Engineering Manager, Data Engineering","source_url":"https://job-boards.greenhouse.io/omadahealth/jobs/8052436","location":"Remote, USA","job_type":"full-time","experience_level":"senior","work_arrangement":"remote","category":"Engineering","description":"<p>Omada Health is on a mission to bend the curve of chronic disease. The Data Engineering team builds and operates the data platform and curated data products that power analytics, reporting, experimentation, and AI-driven insights across Product, Clinical, Commercial, Finance, and Operations.</p>\n<p>We are looking for an experienced Senior Engineering Manager, Data Engineering to lead our data engineering organization and help shape the future of Omada&#39;s enterprise data platform.</p>\n<p>As a Senior Engineering Manager, you will lead a team responsible for designing, building, and operating scalable data pipelines that serve as the trusted foundation for business intelligence, machine learning features, product analytics, operational reporting, experimentation, and advanced analytics.</p>\n<p>You will partner closely with Data Architects, Product Managers, Analytics, Data Science, Governance, and Software Engineering teams to define the technical strategy, execution roadmap, and operating model for Data Engineering.</p>\n<p>This role requires a strong balance of organizational leadership and technical depth. You will build high-performing engineering teams, drive platform strategy, and deliver reliable, scalable, and governed data capabilities that enable data-driven decision making across Omada.</p>\n<p>Key Responsibilities:</p>\n<ul>\n<li>Establish and execute a strategic roadmap for Omada&#39;s Data Engineering platform.</li>\n<li>Lead the delivery of scalable, reliable, and governed data products that enable analytics, reporting, experimentation, and AI-driven insights.</li>\n<li>Deliver trusted, reusable production datasets that power Applied Data Science, Product, Clinical, Commercial, Finance, Operations, and Executive analytics.</li>\n<li>Lead, develop and grow a high-performing Data Engineering organization through hiring, coaching, mentoring, and career development.</li>\n<li>Foster a culture of technical excellence, collaboration, accountability, and continuous learning.</li>\n<li>Empower teams to deliver high-impact solutions while maintaining a strong focus on quality and operational excellence.</li>\n<li>Partner with Product, Analytics, Data Science, Architecture, Governance, and Engineering leaders to define priorities and accelerate data-driven decision making across Omada.</li>\n<li>Translate business needs into scalable platform capabilities and trusted data products.</li>\n<li>Build strong relationships across the organization to drive alignment, transparency, and execution.</li>\n<li>Establish engineering excellence through improved data quality, reliability, observability, security, and platform performance.</li>\n<li>Define and monitor engineering and operational metrics to continuously improve platform health, cost efficiency, and developer productivity.</li>\n<li>Guide adoption of Improved reliability, quality, governance, and usability of enterprise data products.</li>\n<li>Provide technical leadership for architecture, platform evolution, scalable technologies, reusable frameworks, and engineering standards across Data Engineering.</li>\n<li>Expand self-service analytics through trusted and reusable data capabilities.</li>\n<li>Influence long-term technology strategy while partnering with engineering leaders across Omada to build a world-class data platform.</li>\n</ul>\n<p>About you:</p>\n<ul>\n<li>10+ years of experience building and operating large-scale data platforms, analytics systems, or software platforms.</li>\n<li>5+ years of experience leading Data Engineering teams, with experience managing managers or multiple teams preferred.</li>\n<li>Proven ability to build, mentor, and scale high-performing engineering organizations.</li>\n<li>Demonstrated success defining technical strategy, driving execution, and delivering complex cross-functional initiatives.</li>\n<li>Strong experience partnering with Product, Analytics, Data Science, and executive stakeholders.</li>\n<li>Deep experience designing and operating modern cloud-based analytics platforms, including data warehouses, lakehouses, ELT/ETL pipelines, and data processing systems.</li>\n<li>Strong understanding of data modeling, analytics architecture, semantic layers, and scalable data product design.</li>\n<li>Experience implementing data quality, observability, governance, metadata, lineage, and access control capabilities.</li>\n<li>Experience modernizing enterprise data platforms and driving adoption of modern data engineering practices.</li>\n<li>Familiarity with AI and machine learning data workflows is a plus.</li>\n</ul>\n<p>Technical Skills:</p>\n<ul>\n<li>Strong understanding of distributed data systems, cloud-native architectures, and software engineering practices.</li>\n<li>Experience with modern data technologies such as Databricks, Spark, Airflow, Kafka, Redshift, Snowflake, Python, SQL, Graph DB and AWS.</li>\n<li>Experience with CI/CD, infrastructure automation, testing frameworks, monitoring, and performance optimization.</li>\n<li>Familiarity with modern data governance platforms such as Unity Catalog, Collibra, or OpenMetadata is a plus.</li>\n</ul>\n<p>Benefits:</p>\n<ul>\n<li>Competitive salary with generous annual cash bonus</li>\n<li>Equity grants</li>\n<li>Remote first work from home culture</li>\n<li>Flexible Time Off to help you rest, recharge, and connect with loved ones</li>\n<li>Generous parental leave</li>\n<li>Health, dental, and vision insurance (and above market employer contributions)</li>\n<li>401k retirement savings plan</li>\n<li>Lifestyle Spending Account (LSA)</li>\n<li>Mental Health Support Solutions</li>\n</ul>","enriched_at":1784135204991},{"id":"job_0af85d83-cbf","title":"Principal Applied Machine Learning Scientist","source_url":"https://job-boards.greenhouse.io/omadahealth/jobs/8052599","location":"Remote, USA","job_type":"full-time","experience_level":"senior","work_arrangement":"remote","category":"IT","description":"<p>Omada Health is looking for a Principal Applied ML Scientist to lead high-impact research and applied algorithm development focused on predicting where a member is headed next and identifying the intervention most likely to improve outcomes at a specific moment.</p>\n<p><strong>Your Impact:</strong></p>\n<ul>\n<li>Health Trajectory Research: 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.</li>\n<li>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.</li>\n<li>Next Best Action Algorithms: 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.</li>\n<li>Research and apply advanced decision and recommendation policies to safely optimize intervention choice in a healthcare environment.</li>\n<li>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.</li>\n<li>Technical Leadership: 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.</li>\n<li>Mentor other scientists and data scientists on advanced methods in temporal modeling, reinforcement learning, and causal inference.</li>\n<li>Collaborate closely with platform, MLOps, and product engineering teams to ensure research outputs can be productionized reliably and monitored appropriately.</li>\n</ul>\n<p><strong>About you:</strong></p>\n<ul>\n<li>Ph.D. in Computer Science, Statistics, Machine Learning, Biostatistics, Applied Mathematics or a related quantitative field is required, will consider a Master’s with substantial, directly related experience at a senior level.</li>\n<li>Multiple years of post-secondary education experience in machine learning research or applied research science, with a strong record of delivering novel algorithms or high-impact ML systems in production.</li>\n<li>Deep expertise in time-series or longitudinal modeling, healthcare prediction, recommender systems, reinforcement learning, causal inference, or adjacent research areas relevant to trajectories and next-best-action decisioning.</li>\n<li>Strong proficiency in Python and modern ML tooling, along with experience deploying models into production environments on cloud platforms such as AWS SageMaker or equivalent.</li>\n<li>Demonstrated ability to translate ambiguous business questions into well-scoped technical problems, communicate tradeoffs clearly to non-technical stakeholders, and incorporate feedback into model and metric design.</li>\n</ul>\n<p><strong>Benefits:</strong></p>\n<ul>\n<li>Competitive salary with generous annual cash bonus</li>\n<li>Equity grants</li>\n<li>Remote first work from home culture</li>\n<li>Flexible Time Off to help you rest, recharge, and connect with loved ones</li>\n<li>Generous parental leave</li>\n<li>Health, dental, and vision insurance (and above market employer contributions)</li>\n<li>401k retirement savings plan</li>\n<li>Lifestyle Spending Account (LSA)</li>\n<li>Mental Health Support Solutions</li>\n</ul>","enriched_at":1784135170784},{"id":"job_993fb603-b4e","title":"Senior Software Engineer, Core Systems & Integrations","source_url":"https://job-boards.greenhouse.io/omadahealth/jobs/8051562","location":"Remote, USA","job_type":"full-time","experience_level":"senior","work_arrangement":"remote","category":"Engineering","description":"<p>Omada Health is on a mission to bend the curve of chronic disease.</p>\n<p>We are hiring a Senior Software Engineer to lead development of critical platform capabilities that power Omada’s connected care experience. This role focuses on building and scaling reliable systems that integrate and validate critical health data and enable real‑time, clinically meaningful insights for care teams and members.</p>\n<p>Your Impact: As a Senior Software Engineer, you will lead the design and implementation of backend services and platform capabilities that support large‑scale, data‑rich applications. You will own projects end‑to‑end from technical design through implementation, testing, deployment, and ongoing reliability while partnering with product, data science, and clinical teams to turn complex requirements into simple, robust solutions.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Design and build scalable backend systems that ingest, process, and serve high‑volume health data.</li>\n<li>Lead technical initiatives that improve data reliability, observability, and end‑to‑end system performance.</li>\n<li>Drive architecture decisions for integrations with third‑party data sources and APIs.</li>\n<li>Partner closely with product, clinical, and data teams to translate healthcare needs into robust technical solutions.</li>\n<li>Improve system resilience and data quality, ensuring correctness in clinically relevant workflows.</li>\n<li>Mentor engineers and elevate engineering standards through design reviews, testing practices, and operational excellence.</li>\n<li>Contribute to roadmap planning, breaking down ambiguous problems into clear, actionable engineering work.</li>\n</ul>\n<p>About you:</p>\n<ul>\n<li>You are comfortable taking ownership of complex systems and leading projects from concept through production.</li>\n<li>7+ years of professional software engineering experience, with a strong backend focus using modern frameworks (Ruby on Rails, Python).</li>\n<li>Experience with a relational database (PostgreSQL, MySQL).</li>\n<li>Experience designing and operating distributed systems with high reliability and data integrity requirements.</li>\n<li>Experience working with data pipelines, event‑driven architectures, or real‑time processing systems.</li>\n<li>You care deeply about reliability, testing, and documentation, and treat them as core parts of engineering, not afterthoughts.</li>\n<li>You communicate clearly with technical and non‑technical partners and can translate business and clinical needs into technical plans.</li>\n<li>Comfortable working cross‑functionally and navigating ambiguity in a fast‑paced environment.</li>\n</ul>\n<p>Bonus Points for:</p>\n<ul>\n<li>Experience with healthcare systems, medical devices, or regulated environments (HIPAA, FDA, etc.).</li>\n<li>Familiarity with device integrations such as CGMs, wearables, or remote monitoring tools.</li>\n<li>Experience improving data quality, validation systems, or reconciliation pipelines.</li>\n<li>Background in building platforms or infrastructure systems used by multiple teams.</li>\n<li>Experience with cloud platforms (AWS) and modern CI/CD practices.</li>\n</ul>\n<p>Technologies we use: AWS, Ruby, Rails, Postgres, GraphQL, Docker, Kubernetes</p>\n<p>Benefits:</p>\n<ul>\n<li>Competitive salary with generous annual cash bonus</li>\n<li>Equity grants</li>\n<li>Remote first work from home culture</li>\n<li>Flexible Time Off to help you rest, recharge, and connect with loved ones</li>\n<li>Generous parental leave</li>\n<li>Health, dental, and vision insurance (and above market employer contributions)</li>\n<li>401k retirement savings plan</li>\n<li>Lifestyle Spending Account (LSA)</li>\n<li>Mental Health Support Solutions</li>\n</ul>","enriched_at":1784048717584},{"id":"job_8f611b26-e36","title":"Director, GLP-1 and Cardiometabolic Health Program Manager","source_url":"https://job-boards.greenhouse.io/omadahealth/jobs/8021506","location":"Remote, USA","job_type":"full-time","experience_level":"senior","work_arrangement":"remote","category":"Operations","description":"<p>Omada Health is seeking a Director to drive the day-to-day execution and operations of its GLP-1 solutions within its broader cardiometabolic platform.</p>\n<p>This leader will help translate Omada&#39;s GLP-1 strategy into clear plans, workflows, and cross-functional routines that support rapid, high-quality scale.</p>\n<p>Working closely with the VP and key stakeholders, you will coordinate across product, clinical, data science, engineering, and commercial teams to ensure the GLP-1 program delivers measurable impact for members, customers, and Omada.</p>\n<p><strong>Key Responsibilities</strong></p>\n<ul>\n<li>Team Operations and Ways of Working:</li>\n</ul>\n<p>+ Partner with the VP to establish and maintain operating cadences, meeting structures, and communication norms for the GLP-1 program team and key cross-functional stakeholders.   + Implement and refine processes and tools that support collaboration, agility, and continuous improvement across product, clinical, data, engineering, and marketing partners.   + Help ensure GLP-1 program work is integrated with core Omada teams and workflows so that the program remains aligned with Omada&#39;s broader cardiometabolic care model and member experience.</p>\n<ul>\n<li>Program Execution and Performance:</li>\n</ul>\n<p>+ Lead day-to-day execution of GLP-1 program initiatives, converting strategy and ideas into clear project plans, timelines, and ownership.   + Track and report on program OKRs and KPIs, including member outcomes, engagement, operational efficiency, and customer results, surfacing risks and opportunities early.   + Develop and manage lightweight reporting and dashboards that provide visibility to Omada&#39;s executive leaders and stakeholders, ensuring shared understanding of program performance and priorities.   + Identify and drive discrete improvement projects that support high-quality scale of GLP-1 and cardiometabolic care.</p>\n<ul>\n<li>Cross-Functional Coordination:</li>\n</ul>\n<p>+ Coordinate across clinical, commercial, product, engineering, operations, and regulatory partners to keep GLP-1 program work aligned, unblocked, and advancing.   + Partner with sales, marketing, and customer success teams to support execution of GLP-1-related go-to-market and customer programs.   + Maintain regular feedback loops with internal stakeholders and external customers to capture insights on member experience, operational performance, and market needs.</p>\n<ul>\n<li>Market and Program Insight:</li>\n</ul>\n<p>+ Build and maintain a practical understanding of Omada&#39;s GLP-1 programs, cardiometabolic care platform, and business model.   + Stay current on GLP-1 and obesity care market trends across pharmaceutical manufacturers, digital health programs, and payer, PBM, and employer channels.   + Support the VP and other leaders with concise input and perspectives that connect market signals to operational implications for Omada&#39;s GLP-1 program.</p>\n<p><strong>Values and Leadership</strong></p>\n<ul>\n<li>Model Omada&#39;s values by cultivating trust, seeking context, acting boldly, delivering results, succeeding together, and keeping the mission at the center of daily work.</li>\n<li>Foster a supportive, accountable environment for team members and partners, providing clear expectations and feedback and helping remove operational barriers to performance.</li>\n</ul>\n<p><strong>Required Experience and Traits</strong></p>\n<ul>\n<li>10-12+ years in digital health, health technology, or a related healthcare environment, with 3-5+ years leading complex program or operations work in high-growth or rapidly changing settings.</li>\n<li>Demonstrated ability to run cross-functional programs, establish and maintain operating routines, and drive clarity and follow-through.</li>\n<li>Experience defining and tracking program metrics, using data to identify issues and opportunities, and communicating insights to senior stakeholders.</li>\n<li>Strong written and verbal communication skills, with the ability to synthesize complex information and tailor messaging from frontline teams to executive audiences.</li>\n<li>Understanding of digital health products, virtual care models, and cardiometabolic or chronic disease programs.</li>\n<li>Adaptability, comfort operating in ambiguity and changing priorities, with a proactive, solutions-oriented approach to problem solving.</li>\n<li>Bias for speed with judgment, ability to move quickly and make pragmatic decisions.</li>\n</ul>\n<p><strong>Benefits</strong></p>\n<ul>\n<li>Competitive salary with generous annual cash bonus</li>\n<li>Equity grants</li>\n<li>Remote first work from home culture</li>\n<li>Flexible Time Off</li>\n<li>Generous parental leave</li>\n<li>Health, dental, and vision insurance</li>\n<li>401k retirement savings plan</li>\n<li>Lifestyle Spending Account (LSA)</li>\n<li>Mental Health Support Solutions</li>\n</ul>","enriched_at":1784048650570}],"category_normalised":[{"category":"engineering","count":13},{"category":"operations","count":3},{"category":"design","count":2},{"category":"sales","count":1},{"category":"marketing","count":1},{"category":"legal","count":1},{"category":"it","count":1},{"category":"hr","count":1},{"category":"finance","count":1}],"velocity":{"weeks":[{"week_start":"2026-04-13","count":1},{"week_start":"2026-04-20","count":2},{"week_start":"2026-05-11","count":1},{"week_start":"2026-05-18","count":1},{"week_start":"2026-05-25","count":1},{"week_start":"2026-06-08","count":4},{"week_start":"2026-06-15","count":4},{"week_start":"2026-06-22","count":2},{"week_start":"2026-06-29","count":1},{"week_start":"2026-07-13","count":8},{"week_start":"2026-07-20","count":1},{"week_start":"2026-07-27","count":1}],"trend":"stable","wow_pct":0},"momentum":{"recent_14d":2,"prior_14d":8,"growth_pct":-75,"classification":"decelerating"},"salary_vs_industry":{"company_median":201837.5,"industry_median":null,"percentile":null,"sample_size":14,"by_region":[{"region":"Remote","company_median":201850,"industry_median":null,"sample":13}],"transparency_pct":52,"industry_transparency_pct":0,"transparency_warning":false},"market_share":{"company_jobs":27,"industry_total":27,"share_pct":100,"rank":1,"peer_count":1},"ai_exposure":{"occupation_weighted_score":0.251,"skill_weighted_score":0.306,"top_exposed_titles":[],"top_exposed_skills":[{"skill":"Generative 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