Top Tech Jobs & Startup Jobs in NYC, NY

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.