Jobs at Garner Health

Execute strategic projects and develop operational processes across the business. Manage company KPIs, support annual and quarterly planning, collaborate with cross-functional stakeholders, and work directly with leadership on high-priority initiatives. The role requires structured problem-solving, analytical ability, operational ownership, and synthesizing complex data to drive measurable business outcomes in healthcare.

Own the roadmap and product experience for ingesting, processing, governing, and connecting client data. Partner with engineering teams, employers, and integration partners to identify needs, develop products, define success metrics, and launch features. Build prototypes and ship minor enhancements end to end while ensuring data quality, speed, security, and effective reporting for healthcare payment and client outcomes.

Own marketing analytics for member activation and engagement across email, SMS, direct mail, in-app, and employer channels. Lead audience targeting, segmentation, KPI definitions, dashboards, funnel and lifecycle analysis, attribution, experimentation, data governance, and reporting. Partner with Engineering and other data teams to improve pipelines, metric consistency, campaign operations, and analytics infrastructure while using AI to scale marketing measurement and decision-making.

Lead technical strategy and execution across multi-quarter initiatives, build and optimize AI-enabled software systems, mentor engineers, collaborate across disciplines, and protect user privacy and security. The role works with large-scale healthcare data in an AWS and Kubernetes environment, using technologies including Python, TypeScript, React, Go, Airflow, DBT, and Claude Code.

Leads growth marketing operations across email, SMS, direct mail, print, and swag channels. Builds campaign workflows, QA processes, attribution and UTM tracking, marketing technology roadmaps, AI-enabled automation, and cross-functional processes. Manages marketing assets, consent data flows, vendor scalability, budgets, ROI analysis, and performance insights while partnering with Engineering, Data, Revenue Operations, and Client Success.

Own end-to-end client reporting and analysis, including scoping, delivery, automated report development, and deep-dive investigations. Partner with client-facing teams to answer complex healthcare questions, improve report efficiency and accuracy, develop scalable reporting automation with data engineering, and establish best practices for visualization, documentation, metrics, and stakeholder communication.

Own marketing campaign operations, including enrollment, list processing, tracking, CRM hygiene, request fulfillment, reporting, and lead routing. Automate repetitive workflows using AI and maintain accurate attribution and speed-to-lead. Build recurring and ad hoc marketing analyses, monitor routing health, resolve exceptions, and improve operational efficiency across demand generation.

Build and ship production algorithmic systems for healthcare, including machine learning, optimization, heuristics, and expert systems. Responsibilities include framing complex problems, defining objectives and metrics, validating solutions, deploying models, iterating based on outcomes, reviewing code and analyses, and communicating findings to stakeholders. Example projects include provider tiering optimization and member engagement models using claims and behavioral data.

Own the reliability, performance, observability, and cost-efficiency of production machine learning systems. Architect Garner’s ML platform, including feature stores, model registries, model-serving infrastructure, and CI/CD pipelines. Establish automated data-quality, model-validation, drift-monitoring, and incident-response processes. Set technical direction, develop platform standards and KPIs, and prepare for future continuous-training capabilities while collaborating with ML, data, platform, and product engineering teams.

Leads Garner’s Data Platform Engineering team, overseeing scalable healthcare data infrastructure, pipelines, abstractions, and distributed processing systems. Provides hands-on architectural guidance, establishes engineering standards, translates business requirements into technical roadmaps, and promotes AI-native development practices. The role includes hiring, mentoring, stakeholder management, design reviews, root cause analysis, and operational excellence while supporting rapid enterprise data growth.

Build, optimize, and maintain software systems using AI while collaborating across disciplines to develop user-focused solutions. Apply secure coding practices, participate in code reviews, and contribute to high-quality features. The role involves working with front-end or back-end technologies, databases, cloud platforms, and AI-assisted development in a mission-driven healthcare technology environment.

Software Engineering Interns will spend 10 weeks building and launching software features that help healthcare members find high-quality doctors and manage medical claims. Responsibilities include developing and maintaining AI-enabled systems, collaborating with engineers, designers, and product managers, participating in code reviews and problem-solving sessions, and presenting a capstone project. The role offers hands-on experience in an agile environment with potential full-time opportunities after successful completion.

Build, optimize, and maintain software systems using AI in an AWS and Kubernetes environment. Collaborate across disciplines on distributed, event-driven systems, learn new technologies in a fast-paced startup, and protect user privacy and security while supporting healthcare data and HIPAA compliance.

Build, optimize, and maintain scalable data pipelines and reusable datasets for business intelligence, marketing, and data science. Develop federated data validation frameworks, optimize queries and data models, and protect user privacy and security. The role uses Python, SQL, AWS, Airflow, PostgreSQL, Iceberg, Snowflake, Spark, and other modern data-stack technologies. It is based in New York City with in-office work three days per week.

Lead technical strategy, build and maintain software systems using AI, mentor early-career engineers, collaborate across disciplines, and protect user privacy and security. The role involves working with large-scale healthcare data in an AWS and Kubernetes environment while adopting emerging technologies and engineering practices.

Build, optimize, and maintain software systems using AI; collaborate across disciplines to solve complex healthcare technology problems; and protect user privacy and security through strong engineering practices. The role works with AWS and Kubernetes in a fast-paced startup environment and involves learning new languages, frameworks, and techniques while supporting systems that analyze large-scale medical records.

Build, optimize, and maintain scalable data pipelines and reusable datasets for business intelligence, marketing, and data science. Design a federated data validation framework, optimize queries, support data modeling and governance, and protect user privacy and security. The role uses Python, SQL, AWS, Airflow, Snowflake, PostgreSQL, and other modern data-stack technologies, with a hybrid schedule requiring three days weekly in the New York City office.

Lead and grow an engineering team building AI-enabled business productivity tools. Partner with internal business units to identify opportunities, deliver web applications and APIs, own secure and reliable services, set technical direction, and improve employee efficiency through AI adoption and foundational platform enhancements.

Lead engineering teams building Garner’s core healthcare product, including data ingestion systems and AI-enhanced product experiences. Provide technical oversight, drive scalable features, mentor and hire engineers, improve quality and delivery speed, manage cross-functional risks and tradeoffs, and protect user privacy and security. The role requires hands-on engineering experience, engineering management experience, and familiarity with web applications, APIs, and AWS cloud infrastructure.

Lead development and execution of Garner's corporate communications strategy to raise brand awareness, manage media and crisis response, position executives as thought leaders, oversee internal communications, support investor relations, and measure communications performance to optimize brand presence across key healthcare and employer audiences.