Top Tech Jobs & Startup Jobs

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.

Lead technical strategy and execution for multi-quarter initiatives, build and maintain software systems using AI, mentor and elevate engineers, collaborate across disciplines, and protect user privacy and security. The role involves working in an AWS and Kubernetes environment with technologies including Python, TypeScript, React, Go, Airflow, dbt, and Claude Code.

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.

Leads Pacific Northwest employer sales by managing Regional Directors and Account Executives serving organizations with 50–9,999 employees. Responsibilities include developing sales strategies, driving revenue growth, pursuing new business, analyzing regional performance, ensuring compliance, and building relationships with benefits brokers and partners. The role requires sales leadership, team quota delivery, strategic thinking, and strong people-management skills.

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 developing scalable systems on AWS and Kubernetes while working with healthcare data and adhering to HIPAA and data-security best practices.

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.