Top Tech Jobs & Startup Jobs in NYC, NY

The Software Engineer - AI Systems will design and implement systems to coordinate LLMs, build testable software stacks, conduct research, and collaborate with team members to create AI-powered security solutions.

Develop and execute social media strategies across LinkedIn, Instagram, Facebook, TikTok, and X. Create and publish written and visual content, including graphics, videos, reels, and carousels; manage content calendars and online communities; simplify technical concepts; research trends; collaborate with internal teams; and track social media performance through analytics and reporting.

Designs and evolves enterprise identity and access management architecture, with primary responsibility for Microsoft Entra ID, identity governance, authentication modernization, passwordless authentication, Zero Trust, privileged access, and hybrid/cloud identity integrations. Partners with security, infrastructure, cloud, and business teams to deliver scalable, compliant, user-friendly IAM solutions. The role is hands-on and supports enterprise IAM transformation initiatives.

Lead BrightHire’s multi-product strategy across AI-powered hiring products, defining market direction, prioritizing investments, and translating strategy into high-quality execution. Partner with executive, engineering, sales, marketing, and customer success teams to drive adoption, retention, revenue, and growth through Zoom’s broader platform. Build AI-native products with strong reliability, trust, usability, and enterprise value while raising product judgment and execution standards across the organization.

Own accounts payable operations, expense report auditing, month-end close activities, invoicing, revenue recognition, reconciliations, subsidiary accounting, audits, tax filings, and ERP maintenance. The role requires CPA certification, accounting experience across audit and technology companies, and strong NetSuite and Expensify skills.

Own accounts payable operations, expense report auditing, month-end close, invoicing, revenue recognition, reconciliations, subsidiary accounting, ERP maintenance, financial audits, and corporate tax filing. The role requires a CPA, accounting experience in audit and technology environments, and strong NetSuite and Expensify skills.

The Controller owns AidKit’s accounting integrity, financial close, general ledger, reconciliations, revenue accounting, AR, AP, treasury, payment operations, tax compliance, controls, audit readiness, and financial reporting. The role oversees company and program funds, banking, payment-provider reconciliation, and cash movement. It also administers finance systems, improves processes, automates recurring work, and partners with Engineering, Operations, the CEO, and fractional CFO to support scalable, controlled financial operations.

Conduct applied AI and machine learning research for semiconductor testing. Define ambiguous technical problems, develop measurable evaluation methods, build and fine-tune models, and create RAG, knowledge-graph, and agent systems. Translate unstructured tester documentation and protocols into production solutions, collaborate with engineering and domain experts, and deploy tools that improve workflows. The role also requires monitoring emerging AI technologies and proposing new research directions.

Leads enterprise sales across the West region, targeting employers with more than 3,000 benefits-eligible employees. Responsibilities include territory planning, broker and consultant relationship development, outbound prospecting, discovery, demos, negotiation, contract closing, quota attainment, and cross-functional collaboration with marketing and product teams. Requires full-cycle SaaS, HR-tech, or employee benefits sales experience, benefits broker knowledge, Salesforce proficiency, and a proven record of exceeding sales targets.

Lead the technical direction and hands-on development of ML and operations research systems powering delivery dispatch. Build pricing, quote selection, forecasting, routing, batching, fleet recommendation, LLM, optimization, evaluation, and MLOps capabilities. Translate operational constraints into reliable models and solver formulations, establish production ML standards, and mentor engineers. The role partners with Product and leadership to deliver measurable improvements in revenue, margin, utilization, conversion, and delivery reliability.