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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.

Own the reliability, performance, resilience, observability, and security of AWS and Kubernetes infrastructure supporting products and AI/ML workloads. Define SLOs, lead incident response and root-cause analysis, build Terraform automation, optimize cloud costs, reduce operational toil, and establish deployment standards that help engineers ship reliably. Participate in on-call rotations and maintain HIPAA-compliant infrastructure.

Own revenue and quarterly quota for the West territory covering Oregon, Idaho, Montana, and Hawaii. Build and expand relationships with benefits brokers, consultants, general agents, and employers in the 1,000–9,999 employee market. Develop strategic advisor partnerships, lead complex cross-functional deals, close new business, and shape regional sales strategy with enterprise and account teams.

Own retention and upsell efforts for large employer clients, serving as a strategic partner on health plan design, cost performance, and plan outcomes. Manage broker and client relationships, monitor account health, address risks, resolve strategic issues, and collaborate with account managers and product, data, and technology teams. Develop customized reports and presentations demonstrating client value and ROI while improving net revenue retention and account performance.

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.

Manage and grow Garner's small-group employer clients (25–250 lives) by retaining and upselling accounts, advising on plan design and cost trends, monitoring client health, building broker relationships, and partnering with finance, product, data, and technology teams to demonstrate ROI and drive Net Revenue Retention and other KPIs.

Partner with sales to design and present Garner's Employer and DataPro solutions to high-value prospects. Lead discovery, technical solution design, RFP responses, and project-manage engagements with support from Data and Product teams. Act as technical liaison, communicate value propositions, and stay current on industry trends to inform product improvements.

Own strategic relationships with national broker and consulting firms, build trusted advisor connections, and drive business development into closed distribution and data-licensing deals. The role develops portfolio strategy, contracting targets, metrics, and pipeline; coordinates Sales, Product, Marketing, Client Success, and Operations; and channels consultant insights into go-to-market strategy. Success requires deep employee-benefits expertise, an established senior industry network, executive influence, and accountability for national revenue outcomes.