Top Remote Jobs in New York City, NY

As a Customer Success Manager, you will ensure clients achieve desired outcomes using the elluminate platform, fostering customer satisfaction and retention. Responsibilities include managing the customer lifecycle, collaborating with client leadership, addressing customer feedback, and contributing to revenue generation through renewals and upsells.

As a Software Engineer II on the Payments team, you will develop user-facing payment features, enhance financial accessibility, and collaborate with cross-functional teams to improve platform performance through innovative solutions and quality coding practices.

As an Enterprise Client Partner at Augury, you'll help manufacturers optimize machine health and improve production lines. You will guide customers through the onboarding process, ensuring continuous product adoption and value. Collaborating with Sales and Product teams, you will identify growth opportunities and enhance customer experiences through strategic consulting and relationship building.

As a Home Equity Sales Consultant, you will connect with homeowners, educate them about Hometap's home equity investment product, guide them through the application process, and maintain ongoing communication with them. You will also collaborate with internal teams to ensure a smooth application process and meet sales goals.

The Data Applications Manager will lead the development and implementation of data integration strategies and operational reporting solutions. The role requires managing enterprise-level systems and ensuring seamless data ecosystem performance while overseeing technical team management and stakeholder engagement.

The Vice President, Deputy General Counsel for Product and Privacy will lead the legal teams focusing on product legal counseling and privacy compliance. Responsibilities include mentoring attorneys, guiding product development with legal insights, ensuring privacy laws compliance, and fostering collaboration between legal and product teams.

As a Machine Learning Engineer at Peloton, you will enhance content recommendations by optimizing ML pipelines, researching best practices in ML techniques, and collaborating with cross-functional teams to run experiments and analyze data, ultimately driving member engagement.