Top Tech Jobs & Startup Jobs in NYC, NY

Manage on-site execution of major projects, overseeing installation, commissioning, subcontractors, safety, schedules, budgets, and client handover. Maintain site records, mitigate risks, and coordinate cross-functional teams to ensure timely, compliant project delivery.

As an Energy Analyst, you will manage demand response programs in NYISO and PJM, monitor compliance, track client performance, and prepare market intelligence. This role requires strong analytical skills and interaction with various teams.

The Senior Business Development Manager will source and grow partnerships, navigate regulatory landscapes, and drive integrations in the U.S. staking market.

As a Senior Research Engineer, you will develop data systems, conduct statistical analyses, and lead clinical research to improve maternal health outcomes through data-driven solutions.

The Software Engineer will develop and maintain a proprietary electronic trading platform, lead transitions to in-house development, and collaborate on customer solutions, requiring 8+ years of experience in software engineering.

The Head of Investor Relations will manage investor communications and fundraising, develop product strategy, and maintain relationships with institutional investors. This role requires extensive private equity experience and the ability to travel frequently.

Triage and resolve technical customer issues by debugging complex systems, interacting with customers, developing fixes, collaborating with product, QA, DevOps, and automating tests and deployments to ensure high-quality support and product stability.

Manage the technical sales process for enterprise clients, conduct product demos, lead architecture discussions, and collaborate on product roadmap.

The Machine Learning Engineer will build tools for interpretable AI, optimize infrastructure, and integrate workflows into products, ensuring reliability and performance.

Own and improve the dbt modeling and semantic layers, implement CI/CD, tests, observability, and governance; build governed metrics for BI and AI consumption; partner with Data Engineering and Risk to stabilize pipelines and improve data quality and documentation.