Top Tech Jobs & Startup Jobs in NYC, NY

Lead the Applied AI organization, architecting AI-first solutions, managing AI Engineers, redesigning processes, and driving transformation across finance and operations.

The Senior Software Engineer will own end-to-end features in a deep tech stack across frontend and backend, focusing on scalability and reliability while actively participating in code reviews and team communication.

As the Founding Recruiter for Accounting, you will oversee end-to-end hiring for fund accounting roles, develop a recruiting playbook, and ensure hires become high performers quickly.

The Legal Recruiting Coordinator manages various aspects of legal hiring, coordinates interview logistics, reviews resumes, and supports junior recruiting team members. They maintain recruitment data, organize law school programs, and interact with candidates and law professionals.

As a Customer Deployment Engineer, you will build customer POCs, enhance onboarding processes, and advocate for user needs within the company.

The Staff Product Engineer will set architectural direction for new AI-based developer tools, drive product development, mentor engineers, and ensure reliability and performance of production outcomes.

Act as a technical advisor for enterprise customers, lead complex pre-sales cycles (discovery, PoCs, demos, proposals), design integrations and architectures, handle security/compliance/procurement during deals, collaborate with Product/Engineering/Legal/CS, and support onboarding and expansion to drive adoption and upsell.

Lead the development of personalization algorithms and model-serving infrastructure, optimize performance, and mentor engineers while collaborating on technical decisions.

Support monthly, quarterly, and year-end close activities, maintain the general ledger, lead US payroll in coordination with a PEO, manage multi-state tax filings, work with global EOR/PEO partners, analyze incentive compensation, and partner cross-functionally with RevOps, Revenue, Marketing, and People Ops to support financial reporting and data-driven decisions.

Build and ship end-to-end ML/AI systems (traditional ML, NLP, LLMs/AI agents) on transaction, merchant, and location data. Prototype, productionize, and monitor models, collaborate with engineering and product, and (for senior hires) shape roadmap and mentor teammates.