Top Tech Jobs & Startup Jobs in NYC, NY

Assist the CEO in driving strategy, operations, and finance for a stealth startup, shaping its trajectory and testing new business models.

Partner-track Vice President responsible for sourcing, executing, and managing lower-middle market private equity investments. Lead financial modeling, due diligence, negotiations, portfolio monitoring, investor relations, fundraising support, and mentor junior staff while preparing investment memos and presenting to the investment committee.

Producers at Brilliant design new interactive learning games, manage content development, and work collaboratively to enhance STEM education through engaging experiences.

The role involves leading research on multimodal AI systems, improving AI alignment, and collaborating with interdisciplinary teams to develop novel tools and methodologies.

Develop and maintain open-source Python frameworks and ML developer tools, architect scalable libraries, grow early-stage projects, build real-time streaming capabilities, integrate modern frontend technologies, and collaborate with open-source contributors and the broader developer community.

The Executive Director will oversee operations, strategic planning, financial management, and community engagement, while leading initiatives to diversify the tech industry.

The Account Director will generate revenue through brand partnerships, manage prospecting and pre-sales activities, pitch to clients, and oversee post-sales processes to meet revenue goals.

Develop low-level Rust code for decentralized exchange infrastructure, improve codebase, write documentation, and conduct testing.

Optimal Dynamics seeks curious and driven individuals to join their talents community. Applicants should express their skills and interests, and they review submissions on a rolling basis for potential future positions.

Build and operationalize machine learning and AI solutions for hospitality pricing, forecasting, and revenue management. Analyze large datasets, write Python and SQL to prepare and validate data, and partner with product and engineering to turn analyses into product capabilities. Apply modern AI techniques, including LLMs and AI coding tools, and communicate insights to stakeholders.