Top Tech Jobs & Startup Jobs in NYC, NY

The Travel Analyst Supervisor oversees the Command Center, ensuring compliance with policies, managing travel requests, and supervising Travel Analysts. They maintain communication with stakeholders, manage work schedules, and ensure contracts are followed. Responsibilities include reporting, staff management, and addressing employee performance issues.

The Sr. Customer Success Manager engages enterprise customers to enhance adoption, manage relationships, drive renewals, and identify growth opportunities, guiding customer strategies and collaborating with internal teams.

As an Account Executive, you will prospec т, conduct deep discovery, and build business cases for SMB and mid-market clients. You'll sell AI-native commerce solutions and navigate complex operational challenges.

The Senior Amazon Brand Manager leads client strategy in Amazon FBA, optimizing brand growth, managing budgets, and troubleshooting catalog issues while ensuring client satisfaction and project progress.

The Virtual Assistant handles email management, calendar scheduling, document editing, CRM management, and travel booking to support organizations' operations.

The Senior Manager oversees funding relationships with institutional donors, manages proposal writing, ensures alignment with funder priorities, and leads donor stewardship efforts.

The Data Analyst, Product will transform product data into actionable insights, manage data pipelines, and support product development decisions using data analysis and visualization skills.

The Operations Specialist role involves supporting operational processes in healthcare to improve medication access, requiring problem-solving skills and adaptability to new technologies.

The Sr. Manager, Commercial Training will develop and implement training for new hires and ongoing needs, conduct field rides, analyze feedback, and assess training gaps within regions. This role requires collaboration with sales management and continuous professional development of commercial field teams with a focus on instructional efficacy and compliance.

Design and implement production-grade ML systems for ICS/OT cybersecurity, build and optimize models (including NLP/LLMs), develop data pipelines and MLOps workflows, collaborate with data teams to deploy and monitor models in cloud and on-prem containerized environments, and troubleshoot production performance and resource issues.