Top Tech Jobs & Startup Jobs in NYC, NY

Manage strategic marketplace customer relationships throughout onboarding, account planning, scaling, and optimization. Monitor performance trends, create reports, troubleshoot issues, identify growth opportunities, and support adoption and upsells. Collaborate cross-functionally on product implementations and improvements while maintaining accurate account records and communicating issue resolution to internal and external stakeholders.

The Machine Learning Performance Engineer will build training and inference pipelines, enhance deep learning frameworks, improve performance, and collaborate with researchers and engineers to optimize trading systems.

Build and deploy AI tools, agentic systems, internal services, workflows, interfaces, and integrations across the company. Drive AI tooling adoption, improve software development workflows, create reusable connectors and guardrails, evaluate build-versus-buy options, and partner with infrastructure, security, operations, and business teams. Measure productivity, adoption, and user trust while ensuring safe, maintainable production systems.

Conduct outbound prospecting through cold calls and other communications, qualify leads, document activity in HubSpot, hand off opportunities, share customer insights, and meet lead-generation targets. After achieving targets, hire and train additional business development representatives to build the outbound sales function.

Conduct one-on-one aesthetic treatment consultations, educate patients on laser, body contouring, and injectable services, create customized treatment plans, present financing options, and manage patient relationships from initial consultation through long-term loyalty. Own a patient book and revenue target while partnering with clinicians and location leadership to deliver a premium patient experience. Weekend and evening availability is required.

Own the full sales cycle for an AI infrastructure and security product, from prospecting and discovery through POCs, security reviews, procurement, closing, and account expansion. Sell to technical enterprise buyers including CTOs, CISOs, and Heads of AI. Build pipeline, forecasting, qualification, and an early sales playbook while helping shape hiring and sales operations. The role requires technical infrastructure or security sales experience, enterprise deal expertise, MEDDIC discipline, and strong AI fluency.

Own the full customer lifecycle for mid-market B2B SaaS accounts, including onboarding, adoption, renewals, retention, and expansion. Develop account strategies, lead executive business reviews, identify commercial opportunities, assess account health using analytics and CRM data, and proactively manage risk. Partner with Sales, Product, and Support on customer needs and escalations while improving customer success operations through AI-driven workflows, automation, and scalable processes.

Manages litigation matter budgets, forecasts, financial reporting, databases, and project tracking. Analyzes costs and variances, identifies risks, recommends solutions, and coordinates with legal, billing, accounting, pricing, and client teams. Serves as the lead legal project management resource for key clients while driving AI-enabled innovation, process improvements, best practices, and strategic project initiatives.

Sells Canon hardware, software, services, and third-party technology solutions to enterprise accounts across Long Island and New York City. Develops account penetration strategies, builds relationships with decision-makers, identifies customer requirements and competitive trends, and creates short- and long-term plans. Supports customer departments, grows market share through prospecting, and reports account activity to management. Requires local travel, including possible overnight trips.

Supports the CEO and Managing Partner by managing priorities, calendars, timesheets, email, follow-ups, meetings, workflows, business development, and firm-wide communication. The role ensures deadlines and commitments are tracked, operations remain organized, and leadership stays focused on clients, strategy, and growth. It requires discretion, professionalism, proactive problem-solving, and strong organizational skills, with potential to grow into overseeing additional administrative support.