Top Tech Jobs & Startup Jobs in NYC, NY

The Senior Product Manager will lead the strategy and enhancement of SmarterDx's data applications, collaborating with teams to optimize user solutions and data capabilities within healthcare.

The Business Analytics Manager leads a team to drive analytics initiatives, manage stakeholders, and ensure reporting capabilities optimize customer experience. Responsibilities include mentoring, standardizing practices, and fostering innovation in analytics processes.

The Support Analyst II will provide front-line technical support for clients, troubleshoot issues, maintain product knowledge, and contribute to process improvements, all while ensuring a high-quality client experience.

Lead optimization initiatives for customer success processes, collaborating with teams to enhance client experiences and support services. Manage escalations and train teams on new procedures.

The Customer Success Operations Associate will optimize processes, collaborate with Customer Success Managers, and support clients in healthcare technology, leveraging SQL for issue resolution.

Lead and optimize client onboarding for a healthcare technology company, ensuring timely and effective implementation. Collaborate with executives and teams to drive results, develop frameworks, and improve processes.

The Charge Integrity Specialist will refine charge integrity strategies, ensuring accurate charge capture, overseeing quality control, and collaborating with cross-functional teams to enhance product development.

Lead a team of Product Analysts to drive analytics initiatives, managing project execution, stakeholder engagement, and team development while promoting analytics best practices and data governance.

Oversee and manage Customer Success projects, ensuring timely updates, effective communication, and alignment with stakeholders. Develop and implement project best practices.

The Senior Machine Learning Engineer at SmarterDx will deploy, maintain, and optimize machine learning models, collaborating across disciplines to integrate these solutions and improve clinical AI outcomes.