Top Tech Jobs & Startup Jobs in NYC, NY

The Engineering Manager will lead the Consumer Core team, overseeing the development of core functionalities, promoting team growth, and ensuring a high-quality software experience. Key responsibilities include managing team dynamics, driving operational excellence, and collaborating with engineering leaders to align technical strategies with business needs.

The role involves designing and building AI-native systems for revenue teams at Upside, including developing applications, partnering with teams, managing the entire stack, and improving system reliability and performance.

The Principal Product Marketing Manager drives customer engagement and retention strategies, creates sales enablement materials, and collaborates with teams to enhance customer value and minimize churn.

The Senior Full Stack Software Engineer II at Upside is responsible for developing high-quality software, collaborating with cross-functional teams, mentoring other engineers, and driving improvements in system performance and quality.

The Senior Marketing Systems Manager will manage marketing automation tools, ensure data flow into Salesforce, and support marketing systems with strategic initiatives.

The Payroll and Benefits Lead will manage payroll and benefits programs, ensuring regulatory compliance and operational excellence while supporting U.S. employees.

As an HR Business Partner, you'll support client groups, drive employee experiences, implement HR programs, analyze data, manage employee relations, and promote a culture of inclusivity.

The Engineering Manager leads the Data Engineering team at Upside, overseeing data platform development, team growth, and cross-functional collaboration to drive analytics and data-driven decisions.

The role involves designing and building scalable data products, translating business needs into trusted data, and maintaining data quality for analytics at Upside.

The Knowledge Systems Architect will design systems for knowledge organization, automate documentation processes, and enhance knowledge artifact legibility to support AI effectiveness in the R&D environment.