Top Tech Jobs & Startup Jobs in NYC, NY

As a Senior Product Manager, you will enhance the onsite growth strategy by developing the product for marketing subscriber conversion and integrating AI-powered personalization features, ensuring high conversion rates and customer engagement.

As a Senior Machine Learning Engineer, you will build and operate scalable ML systems, oversee projects from inception to deployment, and improve system performance while collaborating with cross-functional teams and mentoring junior engineers.

As a Machine Learning Engineer II, you will build and improve ML models and infrastructures, work with teams to implement end-to-end ML use cases, and write quality code in a collaborative environment.

The Engineering Manager leads a team of backend engineers to build scalable systems for customer growth, implements technical vision, and ensures system reliability and performance.

The Lead Product Manager will define and execute the product strategy for AI-powered onsite performance solutions, driving metrics such as conversion and revenue through innovative customer experiences and machine learning-driven optimization.

The Customer Success Manager will manage enterprise customer relationships, strategize program implementation, drive retention and expansion, and collaborate with sales and technical teams.

Design and implement solutions to enhance platform reliability. Lead projects, collaborate across teams, and mentor junior members while enforcing best practices and reliability metrics.

The Solutions Marketing Manager will create marketing narratives, drive sales activation, develop sales plays, and ensure consistent messaging across customer touchpoints, while collaborating with various teams to enhance customer engagement.

The VP of Product Marketing will define competitive strategies, oversee product messaging and launches, and collaborate with teams to improve market differentiation and customer engagement.

As a Staff Machine Learning Engineer, you'll develop, implement, and optimize ML models to enhance personalized customer experiences, collaborating across teams.