Top Tech Jobs & Startup Jobs

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 a high-volume portfolio of large-market B2B clients and broker relationships, driving engagement, satisfaction, retention, and measurable ROI. The role manages account health, success KPIs, engagement plans, client projects, stakeholder communications, reporting, and educational sessions. It requires cross-functional collaboration with sales, strategic account management, and member services, plus proactive risk identification and executive-level client management. Remote work is available with travel up to 25% of the time.

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.

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.