Top Tech Jobs & Startup Jobs

4 Days AgoSaved
In-Office
New York, NY, USA
140K-150K Annually
Senior level
140K-150K Annually
Senior level
Artificial Intelligence • Healthtech • HR Tech • Software
Lead end-to-end customer implementations of an AI agent platform: discover workflows, design solutions, create detailed project plans, coordinate engineering and stakeholders, execute go-lives, and drive early adoption and handoff while troubleshooting and communicating trade-offs.
Top Skills: AdpAPIsAryaAxiscareData MappingETLHipaaHitrustKantimePythonSQLWellsky
4 Days AgoSaved
In-Office
New York, NY, USA
240K-300K Annually
Expert/Leader
240K-300K Annually
Expert/Leader
Artificial Intelligence • Healthtech • HR Tech • Software
Lead and own platform architecture and standards across backend services and infrastructure. Ensure reliability, scalability, observability, and developer experience. Drive cross-team initiatives (multi-tenancy, permissions, async workflows), perform high-impact system redesigns, mentor senior engineers, ship architectural improvements, and align technical strategy with product and leadership.
Top Skills: APIsAsynchronous ProcessingAWSCi/CdDistributed SystemsDockerGCPKubernetesMetricsMulti-Tenant SaasNode.jsObservability (LoggingPostgresPythonTracing)
4 Days AgoSaved
In-Office
New York, NY, USA
150K-190K Annually
Senior level
150K-190K Annually
Senior level
Artificial Intelligence • Healthtech • HR Tech • Software
Lead strategic relationships with Arya's largest enterprise customers to design, implement, and scale AI-driven digital agents. Create AI success roadmaps, measure ROI, run executive business reviews, guide deployments, translate customer needs to Product/Engineering, and drive adoption, expansion, and enterprise-level change management.
4 Days AgoSaved
In-Office
New York, NY, USA
150K-190K Annually
Senior level
150K-190K Annually
Senior level
Artificial Intelligence • Healthtech • HR Tech • Software
Lead customer success and AI adoption for SMB healthcare customers: manage onboarding, implementations, and adoption; map operational problems to AI workflows; coordinate with Deployment, Product, and Engineering; track health and ROI; build playbooks and drive retention, expansion, and operational outcomes.
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