Top Tech Jobs & Startup Jobs in NYC, NY

The Enterprise Sales Director will build and execute Sprinto's enterprise sales strategy in the US, lead sales efforts, develop a team, and achieve revenue targets. The role requires engaging with technical buyers and managing relationships within the CISO and compliance communities.

The Forward Deployed Engineer integrates CrewAI's products into client systems, ensuring successful implementation by understanding technical requirements and business contexts. They lead deployable solutions, conduct workshops, and monitor performance, ultimately enhancing client satisfaction and value delivery.

The role involves defining appliance product requirements, collaborating with engineering teams, and developing product strategies for revenue growth and innovation.

Join Feedzai's Internship Community by submitting your resume. Engage with training, shadow colleagues, and start working on projects to gain experience.

This role focuses on driving adoption of AssetMark's Private Wealth offering through business development and relationship management with financial advisors, focusing on high-net-worth clients.

The Demand Generation Manager will create and execute campaigns focused on outbound, inbound, and social strategies to drive enterprise pipeline while collaborating with sales and shaping the GTM strategy.

The Implementation Strategist at Dutchie manages onboarding and training for new dispensary customers, handling project timelines and customer feedback while collaborating across teams.

The Product Owner will lead product vision and delivery, manage the backlog, facilitate scrum processes, and build relationships with stakeholders to ensure successful product outcomes.

The Principal Engineer for Customer Quality acts as the key customer contact for quality issues, addressing complaints, and driving continuous improvement. This role requires collaboration with multiple teams to establish quality standards and facilitate customer audits, while managing quality performance and supporting product lifecycle decisions.

As an AI Engineer, you'll build and maintain ML pipelines, implement MLOps practices, monitor models in production, and collaborate with integrated teams to operationalize AI solutions.