Omada Health is on a mission to inspire and engage people in lifelong health, one step at a time.  Job overview:  The Staff Software Engineer for AI and Data Technologies will play a critical role in advancing our platform and enablement capabilities for analytics, data science, and AI initiatives. This role is focused on designing and building scalable, efficient, and robust platforms and architectures to support analytics, machine learning, and data-driven decision-making across the organization. While the role is not responsible for executing analyses, building machine learning models, or performing data transformations, it is instrumental in creating the technological foundation that empowers these functions. Key Responsibilities: Strategic Platform Leadership: Drive the design, development, and deployment of scalable AI and data platforms. Focus on building and maintaining reliable infrastructure for analytics and AI/ML workloads, leveraging best practices in MLOps/LLMOps, automation, and cloud-native technologies to support Omada’s business needs. Enterprise Data &amp; AI Architecture: Architect and implement robust, secure, and high-performance systems for data ingestion, storage, processing, and model lifecycle management. Ensure platforms are optimized for scalability, reliability, monitoring, and future-proofing, with a strong emphasis on automation. Cross-Functional Enablement: Collaborate with analytics, data science, and machine learning teams to anticipate challenges, align on requirements, and ensure platforms enable data-driven decision-making across the organization. Technology Vision and Optimization: Evaluate, adopt, and integrate state-of-the-art tools, frameworks, and technologies to optimize platform performance, scalability, and cost-efficiency while setting the technical vision for data ecosystems. Mentorship and Technical Excellence: Provide leadership and mentorship to engineers across teams, fostering skill development in AI and data enablement, while promoting a culture of innovation, collaboration, and engineering excellence. Governance and Best Practices: Establish and enforce best practices for platform engineering, including data security, privacy, compliance, and governance standards. Drive continuous improvement in deployment strategies, monitoring, and incident response processes.. About you:  You are a visionary engineer and trusted advisor with expertise in modern data technologies. You enjoy tackling ambiguous, high-impact problems and proactively influencing technical and strategic decisions. Your ability to mentor others, communicate effectively, and lead complex projects sets you apart. <ul> <li>8+ years of experience in software engineering, with a focus on building platforms for analytics, data science, and AI.</li> <li>Strong programming skills in languages such as Python, Java, Scala, or similar.</li> <li>Experience with AI-specific infrastructure, including model serving (e.g., TensorFlow Serving, NVIDIA Triton), feature stores (e.g., Feast, Hopsworks), and experimentation platforms (e.g., MLflow, Kubeflow).</li> <li>Expertise in designing and implementing data architectures, including data lakes, warehouses, and real-time processing systems.</li> <li>Experience with cloud-based data and AI platforms (e.g., AWS, Azure, GCP) and associated tools.</li> <li>Familiarity with machine learning frameworks and libraries (e.g., TensorFlow, PyTorch) and their integration into production environments.</li> <li>Knowledge of distributed computing technologies (e.g., Spark, Kubernetes) and their applications in data engineering and AI.</li> <li>Knowledge of MLOps/LLMOps practices and tools for managing AI and data pipelines.</li> <li>Demonstrated ability to lead technical projects from concept to delivery.</li> <li>Excellent problem-solving skills and ability to navigate complex technical challenges.</li> <li>Strong collaboration and communication skills to work effectively with cross-functional teams.</li> </ul> Bonus Points for: <ul> <li>Familiarity with data governance and compliance frameworks (e.g., GDPR, HIPAA)</li> <li>Knowledge of BI and reporting tools (e.g., Tableau, Power BI, Looker) and their integration with data platforms</li> </ul> Benefits: <ul> <li>Competitive salary with generous annual cash bonus</li> <li>Equity grants</li> <li>Remote first work from home culture</li> <li>Flexible vacation to help you rest, recharge, and connect with loved ones</li> <li>Generous parental leave</li> <li>Health, dental, and vision insurance (and above market employer contributions)</li> <li>401k retirement savings plan</li> <li>Lifestyle Spending Account (LSA)</li> <li>Mental Health Support Solutions</li> <li>...and more!</li> </ul> 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! <ul> <li>Cultivate Trust. We actively cultivate trust through attentive listening and supporting one another. We respectfully provide and are open to receiving candid feedback.</li> <li>Seek Context. We ask to understand and we build connections. We do our research up front to move faster down the road.</li> <li>Act Boldly. We innovate daily to solve problems, improve processes, and find new opportunities for our members and customers.</li> <li>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.</li> <li>Succeed Together. We prioritize Omada’s progress above team or individual. We have fun as we get stuff done, and we celebrate together. </li> <li>Remember Why We’re Here. We push through the challenges of changing health care because we know the destination is worth it. </li> </ul> About Omada Health: <a href="http://omadahealth.com/">Omada Health</a> is a between-visit healthcare provider that addresses lifestyle and behavior change elements for individuals managing chronic conditions. Omada’s multi-condition platform treats diabetes, hypertension, prediabetes, musculoskeletal, and GLP-1 management. With insights from connected devices and AI-supported tools, Omada care teams deliver care that is rooted in evidence and unique to every member, unlocking results at scale. With more than a decade of experience and data, and 29 peer-reviewed publications showcasing clinical and economic proof points, Omada’s approach is designed to improve health outcomes and contain costs. Our customers include health plans, pharmacy benefit managers, health systems, and employers ranging from small businesses to Fortune 500s. At Omada, we aim to inspire and empower people to make lasting health changes on their own terms. For more information, visit: <a href="https://www.omadahealth.com/">https://www.omadahealth.com/</a> Omada is thrilled to share that we’ve been certified as a Great Place to Work! Please <a href="https://www.greatplacetowork.com/certified-company/7022924">click here</a> 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 for this role in the following geographies: California, New York State and Washington State Base Compensation Ranges: $202,400 - $253,000*, Colorado Base Compensation Ranges: $193,600 - $242,000*. Other states may vary. This role is also eligible for participation in annual cash bonus and equity grants.  *The actual offer, including the compensation package, is determined based on multiple factors, such as the candidates skills and experience, and other business considerations. Please click here for more information on our Candidate Privacy Notice.