Top Tech Jobs & Startup Jobs in NYC, NY

Provide on-demand telephonic Danish-English interpreting across medical, legal, and customer service settings. Answer inbound calls promptly, maintain confidentiality and professional conduct, complete trainings, participate in quality assurance, and use required technology and secure quiet workspace.

The Manager, Cloud and Data will lead a team to build and maintain scalable data infrastructure for autonomous vehicle technology, mentoring team members and managing day-to-day operations.

The Key Account Executive is responsible for building and maintaining senior-level relationships with national insurance carriers, guiding complex sales cycles, and delivering value through consultative approaches.

Outbound B2B sales for a white-label diesel fuel card program: cold calling, lead management in CRM, sales strategy meetings, objection handling, coordinating with partner leadership. Commission-paid, remote/hybrid, student-hour role with potential full-time conversion for top performers.

As a Full Stack Software Engineer, you will develop and maintain robust backend systems using Ruby on Rails, collaborating with cross-functional teams to enhance the real estate platform's performance and user experience.

The Sales Development Representative will qualify leads, book demos, run outbound campaigns, manage the sales pipeline, and collaborate with sales leadership to enhance the sales process.

The Director/Senior Director of Regulatory Affairs leads regulatory strategy, ensures compliance, manages submissions, collaborates across teams, and oversees product approvals.

The TikTok Strategist & Creator will develop and execute a content strategy for RYZE, targeting Gen Z, managing the TikTok presence, and analyzing performance for growth.

As a Contract Attorney, you'll provide legal services to Rocket Lawyer members remotely, including consultations, document reviews, and legal drafting, while managing the administrative tasks related to client interactions.

The DevOps Engineer will design, build, and optimize ML and data infrastructure on GCP, mentor a team, and ensure system reliability and performance.