Top Tech Jobs & Startup Jobs in NYC, NY

The Business Development Lead will drive sales growth, oversee the sales process, nurture relationships, and recommend improvements in alignment with company goals.

The Regional Sales Manager will drive sales by working with customers to identify safety solutions, manage distributor relationships, and maintain profitability in the PPE market.

Lead customer-facing, consultative upsell efforts for AI legal solutions at law firms: drive discovery, map workflows, design demos and POCs, influence stakeholders, and partner with sales/product to close and ensure adoption.

The Managing Director will lead the New York studio, focusing on team development, strategic planning, client relationships, and operational excellence while driving business growth and client satisfaction.

Provide high-level administrative support to consultants: manage complex calendars, travel, expenses, meeting preparation, client/candidate liaison, search coordination, billing support, and confidential correspondence. Produce deliverables and marketing materials, collaborate cross-functionally, and handle ad-hoc projects to meet strict deadlines.

The Head of Technology will lead AI system strategies, oversee technical implementation, mentor engineering teams, and align technology with business objectives.

As a Sales Development Representative, the role focuses on cold calling to educate prospective customers and book meetings for Account Executives, while managing sales activities through CRM.

Manage global engineering operations by overseeing facility management tasks, implementing safety programs, coordinating energy management, and ensuring compliance with engineering standards.

The Head of Creative Strategy will manage creative strategy across client accounts, focusing on performance-driven outcomes, mentoring a creative team, and ensuring alignment with client goals and production processes.

The ETL Developer will analyze data, create migration paths, develop standard queries, document processes, and ensure data quality. They must also support transitions and understand business needs.