Top Tech Jobs & Startup Jobs in NYC, NY

Leads engineering teams developing platform software for GPU-accelerated applications using Kubernetes, container runtimes, Kata Containers, and Confidential Containers. Responsibilities include enabling GPUs as Kubernetes resources, integrating software across NVIDIA’s technology stack, managing priorities, and delivering secure, reliable distributed systems. The role requires deep systems software expertise, engineering management experience, and hands-on knowledge of containers, Linux, cloud computing, virtualization, and confidential computing technologies.

Lead the architecture and implementation of NVIDIA’s large-scale data retrieval platform for foundation-model training. Build web crawling, source discovery, indexing, scheduling, fetching, ingestion, provenance, and policy-enforcement systems. Ensure production reliability, scalability, observability, and cost efficiency while supporting open-web, licensed, partner, code, STEM, and multimodal data. Partner across engineering, research, product, legal, privacy, and governance teams, mentor engineers, and set technical direction.

Develops and manages legal knowledge resources for the US M&A and private equity practice. Responsibilities include maintaining forms and precedent libraries, monitoring legal developments, advising attorneys, supporting client-facing content, delivering training, and driving adoption of AI, document automation, and knowledge management technologies. The role collaborates with attorneys, technology teams, business development, and legal project management to improve workflows, data governance, information architecture, and client service.

Develops and executes knowledge management strategy for the firm’s US Funds practice. Creates and maintains legal resources, precedents, training, and market updates; advises attorneys on fund formation matters; supports client alerts and business development; and drives adoption of legal technology, generative AI, document automation, and workflow solutions. Requires collaboration with attorneys and business teams to improve legal processes, data governance, training, and client service.

The Knowledge Lawyer develops and maintains ERISA, employee benefits, executive compensation, and M&A legal resources, precedents, templates, training, and current-awareness materials. The role advises attorneys and clients, monitors regulatory developments, supports business development, and drives adoption of legal technology, generative AI, document automation, and workflow solutions. Additional responsibilities include knowledge strategy, data governance, practice innovation, attorney training, and collaboration across legal, technology, and business services teams.

Owns a portfolio of AI vendor tools, including Claude, ChatGPT, Copilot, and Gemini. Responsibilities include setting product strategy and roadmaps, gathering requirements, prioritizing enhancements, coordinating integrations and execution, prototyping evaluation dashboards, and driving firm-wide adoption. The role also involves building and managing a support team for vendor tools while collaborating with technical and non-technical stakeholders.

Lead sprint planning, delivery throughput, dependencies, timelines, prioritization, and resource allocation across a portfolio of generative AI products. Coordinate cross-site teams, manage technology-provider support requests, remove blockers, and produce recurring reports for technical and non-technical stakeholders. The role requires strong execution, communication, and program management discipline across concurrent initiatives.

Own the direction and delivery of user-facing generative AI products, including AI agent and chat experiences. Understand technical and non-technical users, identify workflow opportunities, prioritize product development, and partner with engineering and infrastructure teams to deliver stable, performant products. Collaborate with Learning and Development and business teams to drive adoption, experimentation, and AI skill development. Evaluate product success through data, cost-benefit analysis, and user research while adapting to industry changes.

Enterprise quota-carrying sales leader responsible for driving adoption and revenue for Agentforce Operations. Build pipeline, manage long strategic AI transformation deals, expand existing Salesforce accounts, and coordinate cross-functional teams to deliver autonomous-agent solutions that improve operational workflows and ROI. Engage C-suite and multi-stakeholder buyers to qualify opportunities, forecast accurately, and ensure successful deployments and customer satisfaction.

Leads Salesforce sales programs from strategy through implementation, partnering with executives, sales teams, marketing, enablement, and strategy teams. Analyzes sales performance and pipeline gaps, designs cross-functional programs, presents executive narratives, manages operational delivery, tracks engagement metrics, and adapts initiatives based on KPIs. The role requires strong project management, communication, data analysis, presentation design, stakeholder influence, and experience supporting sales organizations.

Supports Zuora Revenue and related finance systems in production, troubleshooting quote-to-revenue transactions, integrations, batch jobs, reconciliations, and close activities. Leads patch validation, UAT, regression testing, releases, and vendor escalations. Improves monitoring, automation, controls, runbooks, and knowledge transfer while supporting SOX audits and collaborating with Finance, Engineering, business users, and vendors.

Own the analytical function for a core business area such as growth, product, AI and automation, or strategic partnerships. Define business problems, metrics, reports, analyses, and experiments; generate insights; communicate recommendations; and drive decisions and outcomes with cross-functional stakeholders. The role requires strong analytical thinking, independent data skills, persuasive communication, and ownership of ambiguous problems.

Work directly with Jerry’s CEO on high-impact business challenges during rapid growth. The GM-in-Training will gain exposure to product, growth, operations, finance, engineering, and data; execute strategic initiatives; and develop toward owning P&L for a business line. The role requires strong ownership, learning agility, resilience, urgency, and in-person collaboration in Palo Alto during the initial 6–12 months.

Own a new product bet from early concept or launch through product-market fit and scale. The role involves researching customer needs, analyzing quantitative and qualitative data, prioritizing high-impact opportunities, building and shipping products, gathering feedback, iterating, and contributing to the product roadmap. Products may span home, motorcycle, boat, RV insurance, or non-insurance ownership services.

Manage end-to-end qualitative and quantitative public affairs and corporate reputation research projects. Responsibilities include survey and screener development, research analysis, presentations, client relationship management, qualitative moderation, project fielding, timeline coordination, team mentoring, proposal development, and strategic recommendations.

Supports product allocation across full-price and outlet stores by size and location. Analyzes store and size-level selling patterns, performs replenishment and inventory transfers, coordinates shipments with distribution centers, and collaborates with buyers and store managers. Maintains allocation data, executes data cleanup, and prepares weekly and ad hoc reports to support sales and inventory turnover goals.

Drive consultative prospect engagements and technical evaluations for enterprise software solutions. Demonstrate Intapp Celeste and AI capabilities, architect solutions across the Intapp portfolio, coordinate trials, RFIs, and RFPs, and support account strategy. Maintain product expertise, demo environments, and enablement materials while partnering with sales, product, consulting, and implementation teams to ensure successful customer outcomes.

Operate and evolve a Kubernetes platform supporting AI workloads, including model gateways, agent runtimes, and GPU-based inference. Manage cloud model access, routing, quotas, cost controls, tenant isolation, infrastructure as code, GitOps, observability, security, and audit logging. Support product teams through documentation, onboarding, and troubleshooting while prototyping self-hosted model serving.

Leads a sales team while carrying an individual quota for geospatial software. Responsibilities include full-cycle B2B sales, team coaching, territory and quota planning, pipeline and forecast ownership, budget management, AI-enabled prospecting and sales operations, customer engagement, and collaboration with Product, Marketing, Customer Success, and Professional Services. The role sells GIS and AI solutions to public-sector and utility customers across the United States.

Leads UX strategy and experience design for Salesforce and connected go-to-market systems. Maps commercial workflows, conducts user research, develops reusable design standards, prototypes improvements, and partners with RevOps, RevTech, Engineering, Marketing, and Enablement. The role improves navigation, adoption, data quality, accessibility, workflow efficiency, documentation, and change adoption across global sales technologies, while measuring user experience and continuously prioritizing enhancements.