Top Tech Jobs & Startup Jobs in NYC, NY

As a Business Development Representative, you will focus on outbound prospecting, engaging technical and financial buyers to build and qualify sales opportunities for At-Bay's cybersecurity solutions.

Lead technical delivery on client projects focusing on kdb+ architectures, mentoring developers, and driving innovation in data solutions.

The Customer Success Manager will oversee enterprise accounts, driving growth, renewals, and customer value through strategic account management and executive relationship building.

Support agency growth by researching prospects and industries, identifying new business opportunities, assisting with pitch materials and timelines, contributing POVs and thought starters, supporting outreach and relationship-building, and participating in cross-functional brainstorms and prospecting efforts.

As a Technical Support Engineer, you'll troubleshoot issues, provide user support, implement fixes, and enhance customer experience through feedback and process improvements.

Sell Ceribell's point-of-care EEG system to hospitals by building relationships across ED, ICU, neurology and administration; manage complex sales cycles, develop clinical champions, negotiate contracts, grow pipeline, and meet revenue targets.

Drive revenue growth through new and existing enterprise accounts by executing complex, value-based sales processes, building executive relationships, defining account strategies, forecasting pipeline, and coordinating with Solutions Engineers and Customer Success to close deals.

The DevOps Release Manager will design and maintain scalable backend systems, develop tooling for reliable releases, and optimize analytics workload in various environments, focusing on the Arize platform.

Lead and oversee KICKS CREW's brand and creative process, ensuring consistent brand representation and driving campaigns across multiple channels. Manage a team of creatives and collaborate on external projects while analyzing performance data to refine strategies.

The Machine Learning Engineer will build tools for interpretable AI, optimize infrastructure, and integrate workflows into products, ensuring reliability and performance.