Top Tech Jobs & Startup Jobs in NYC, NY

Own post-sale customer relationships for healthcare providers, driving adoption, renewals, and expansion. Lead change management, training, and cross-functional coordination. Use data-driven analysis and executive storytelling to quantify ROI, identify risks and upsell opportunities, and influence product strategy. Travel onsite as needed to deepen partnerships and ensure Tennr is embedded in daily operations.

Own post-sale customer relationships for complex healthcare providers, driving adoption, renewals, and expansion through change management, data-driven strategy, cross-functional partnership, and onsite enablement.

Lead and scale a high-performing enterprise SaaS sales team for healthcare customers. Own forecasting, pipeline management, deal reviews, and enterprise sales cycles; partner with Product, Marketing, and Customer Success; shape hiring and sales strategy.

As a Product Engineer, you will architect and implement features, optimize performance, integrate AI, and collaborate with teams to enhance customer solutions.

Lead end-to-end enterprise implementations for large healthcare customers: discovery, design, delivery, and post-go-live optimization. Drive systems integration using APIs, align cross-functional teams, manage risks and change, document solutions, support sales strategy, mentor junior staff, and influence product roadmap and delivery tools.

Lead end-to-end enterprise implementations for large healthcare customers: discovery, solution design using Tennr platform/APIs, project delivery, operational audits, and post-go-live optimization. Advise executives, align cross-functional teams, influence product roadmap, mentor juniors, and improve delivery processes and documentation.

Build and ship end-to-end product features across frontend and backend. Design database schemas, implement backend APIs, craft intuitive frontends, integrate AI models, optimize performance, and iterate using customer feedback while collaborating with product, design, sales, and customer success.

Design and build scalable backend services and data schemas, architect high-volume workflow automation and ML-enabled pipelines, optimize performance, integrate third-party systems, and collaborate with cross-functional teams to deliver production-ready features end-to-end.