Jobs at Garner Health

Build, optimize, and maintain scalable data pipelines and reusable datasets for business intelligence, marketing, and data science. Develop a federated data validation framework, optimize queries and data models, and protect sensitive healthcare data through privacy and security best practices. The role uses Python, SQL, AWS, Airflow, PostgreSQL, Snowflake, and modern data-stack technologies. This position is based in New York City and requires working onsite three days per week.

Lead the Financial Incentives (FIN) engineering function end-to-end (ingestion, eligibility, adjudication, accumulation, payments/treasury). Own correctness, reliability, security, roadmap, hiring and development of managers and senior ICs. Stay hands-on with design, code, and incidents; establish validation standards, event-driven boundaries, AI-native engineering practices, and partner cross-functionally with CTO, Product, Finance, and Operations.

Chief of Staff to the CRO will run the Revenue organization’s operating cadence, track commitments and KPIs, own OKR planning and execution, coordinate budgets and headcount, and lead cross-functional initiatives. The role partners closely with the CRO and executive team to surface risks, drive accountability, and complete high-visibility projects across Revenue, Product, Marketing, Finance, People, and Legal.

Lead Garner’s Business Technology engineering function supporting internal employee systems. Own the identity provider, onboarding and offboarding workflows, internal network, security standards, support metrics, capacity planning, hiring, and development of support and systems engineering teams. Partner with internal stakeholders to align technical roadmaps with employee experience objectives, improve operational efficiency, and ensure systems scale during rapid company growth.

Own demand generation for health insurance brokers by designing multichannel campaigns, building lifecycle programs, managing segmentation and messaging, partnering with Sales and BDR teams, and generating qualified pipeline. Measure campaign performance, optimize investment, manage lead handoffs, and apply AI to create scalable marketing systems. The role requires strong funnel, attribution, and pipeline accountability in a fast-growing environment.

Own Garner’s B2B email marketing channel from strategy through execution. Build HubSpot nurture journeys and sales sequences, manage newsletters and event promotion, write compelling email copy, maintain database health and deliverability, and use segmentation, testing, and funnel analytics to increase qualified pipeline. Collaborate with demand generation, product marketing, marketing operations, and sales teams while applying AI to scale email programs.

Lead go-to-market strategy, positioning, messaging, launches, and content across Garner’s product portfolio. Translate healthcare economics and clinical data into compelling customer narratives, partner with Sales and Product to improve revenue outcomes, establish data-driven marketing practices, and mentor product marketers. The role also informs product strategy, develops competitive enablement, and builds thought leadership within the healthcare benefits market.

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.

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.

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.