Top Tech Jobs & Startup Jobs in NYC, NY

As Legal Counsel, you'll manage legal matters including contract negotiation, compliance with regulations, and provide cross-functional legal support in a fast-paced environment.

Manage and mentor tutors while teaching best practices, communicate with parents, and oversee student sign-ups for tutoring.

Associates in Private Equity Advisory evaluate investment opportunities, build industry relationships, synthesize information, manage projects, and lead initiatives to enhance teamwork and effectiveness.

The Senior Software Engineer will lead technical initiatives, mentor engineers, improve engineering processes, and ensure high-quality product delivery across web and mobile platforms.

As AI Enablement Lead, you will automate workflows, drive AI adoption, and embed AI solutions across teams to enhance productivity at Mavens.

As the first deployed engineer, you will work closely with customers to maximize their use of our API, understanding their products and use-cases deeply.

The role involves driving go-to-market strategies with large self-insured employers and brokers, closing new business opportunities, and collaborating with internal teams while attending industry events for brand awareness.

This role involves conducting audits, risk assessments, and collaborating with stakeholders to enhance process efficiency and implement recommendations.

We are seeking a product-minded backend engineer to work on our Customer Studio product, focusing on data performance, analytics, audience syncing, and generative AI. The role requires strong architecture, scalability considerations, and product engagement.

As a Recruiting Coordinator, you will manage the candidate experience, coordinate interview scheduling, build relationships with hiring teams, and innovate recruiting processes.

The Software Engineer will work on high-throughput streaming systems, scaling infrastructure to manage billions of events, ensuring low-latency and high performance while delivering projects from start to finish with significant ownership.

Lead and mentor ML engineers and data scientists, overseeing ML strategy and development of scalable models for healthcare applications.