Top Tech Jobs & Startup Jobs in NYC, NY

Build and operate the platform: manage EKS/Kubernetes, implement GitOps (ArgoCD), maintain CI/CD (GitHub Actions), define SLIs/SLOs, lead incident response/on-call and post-mortems, design observability (Datadog, Sentry, CloudWatch, Grafana), automate infra with IaC (Terraform/CloudFormation/Crossplane), write Python tooling, and shape platform architecture and self-service workflows.

The Strategy and Operations Lead will define strategic objectives, conduct market analyses, drive business growth, support senior leadership, and manage cross-functional projects.

Responsible for sales and expansion at Turquoise Health, managing the full sales cycle with high-level executive stakeholders in healthcare.

The Customer Success Associate supports customer relationships, engagement, and operational excellence while preparing to advance to a Customer Success Manager role.

The Engineering Manager for Data Products will lead a team of engineers in building data analysis products, ensuring high-quality delivery, and fostering collaboration in a remote work environment.

The role involves developing data models, building data engineering systems, unifying healthcare datasets, and collaborating with various teams to create analytical solutions.

Lead end-to-end ownership of personalization platform surfaces (onboarding, preferences, notifications, reporting). Define systems-level primitives, turn ambiguous horizontal challenges into concrete requirements, use data and AI prototyping to validate, and coordinate engineering, design, data, and GTM to ship scalable B2B SaaS experiences.

Lead definition and delivery of Turquoise Health's data products: define requirements, build roadmaps, prioritize features from customer feedback, collaborate with engineering and GTM teams, enable sales/CS, and launch data-driven releases that increase transparency and structure in healthcare pricing.

Join the AI team to build and operate AI-enabled, customer-facing product features and internal services. Collaborate with engineers, ship AI workflows, and grow quickly while working remotely within the U.S.

Build and maintain analytics pipelines, data models, dashboards, and analyses to measure product metrics and business outcomes. Partner with Product, Engineering, and stakeholders to define metrics, evaluate initiatives, enable self-service analytics, and establish analytics best practices for scalable, performant data systems.