Top Tech Jobs & Startup Jobs in NYC, NY

Serve as a trusted advisor for enterprise customers to drive adoption, retention, and growth. Manage onboarding, troubleshoot issues, triage and escalate technical problems, deliver training, monitor usage, and collaborate with sales, product, and engineering to improve customer outcomes and onboarding processes.

Assist LOA Specialists with LOA documentation, manage case queues, research legislative changes, and train stakeholders on LOA processes and laws.

Lead strategic and tactical sales for Implant Management software across assigned territories, build executive-level relationships, manage long sales cycles and Salesforce pipeline, hit individual quota, provide forecasting, collaborate with leadership and product/marketing, and travel for on-site customer meetings.

Design, build, and evaluate AI systems, focusing on natural language understanding and automation. Collaborate with teams to ensure production quality and performance metrics.

The role involves closing sales presentations over Zoom with interested decision-makers. The candidate is expected to sell AI-powered PR services targeting marketing executives and achieve 4-6 deals monthly.

Lead and evolve Zipline's design system (ZUI), creating component architecture, design tokens, accessibility standards, documentation, and adoption frameworks. Define interaction patterns, product frameworks, and foundational infrastructure; partner with engineering and product to scale consistent experiences and incorporate emerging technologies like AI.

The Senior Manager of Data Insights will lead a team to optimize data sharing and governance, develop data strategies, and deliver actionable business intelligence across Docker's operations.

Manage enterprise telecom accounts: run customer meetings, drive sales through the full cycle, maintain CRM and account plans, forecast sales, coordinate internal teams, and act as trusted advisor to clients.

As a Software Engineer New Grad, you'll develop features for mining operations using TypeScript and AI technologies, contributing to real-time data systems and computer vision applications.

Lead the development of AI-powered trading systems, focusing on building pipelines, enhancing research with AI, filtering signals, and managing infrastructure for data processing in a fast-paced trading environment.