Top Tech Jobs & Startup Jobs in NYC, NY

Implements AI-powered solutions for legal operations, including contract review, redlining, diligence, self-service workflows, chatbots, and legal system integrations. Develops program plans, dashboards, governance processes, and productivity improvements while coordinating with Engineering and Product teams. Translates legal business needs into scalable technical solutions and manages risks across multiple initiatives.

Advise product, research, and engineering teams on global privacy and data protection. Negotiate DPAs, BAAs, data-sharing agreements, and cross-border terms; lead privacy strategy, regulatory engagement, M&A diligence, and scalable compliance programs. Partner with legal, security, policy, safeguards, and product teams to assess risks involving AI systems, technical architectures, commercial partnerships, and privacy incidents.

Lead intellectual property workstreams for acquisitions, investments, and complex commercial and research agreements. Conduct IP diligence, negotiate IP provisions, advise business and legal teams on IP risks, and develop scalable playbooks, templates, and processes. The role also contributes to broader IP strategy involving open source, trade secrets, patents, and emerging AI-related business models.

Own the strategy, design, development, and deployment of AI safeguards systems and product experiences across Anthropic’s products and cloud platforms. Define safety-by-design approaches, develop evaluations and risk metrics, prioritize roadmaps, make technical tradeoffs, and collaborate with policy, research, engineering, enforcement, and product stakeholders to mitigate deployment and user risks.

Own the strategy, roadmap, and end-to-end experience for Anthropic’s identity, verification, account, and access-management primitives. Partner with engineering, safeguards, legal, product, and go-to-market teams to define APIs, support internal and external users, coordinate conflicting requirements, and deliver a scalable zero-to-one product across Claude surfaces.

Lead the strategy, architecture, development, operation, and scaling of Anthropic’s exabyte-scale, multi-cloud storage infrastructure. Design secure, reliable, cost-efficient storage systems; guide migrations; collaborate with cloud, networking, datacenter, research, and business teams; make architectural tradeoffs; improve observability, capacity planning, incident response, and on-call operations; and remain hands-on in critical production code.

Own the cross-functional program for delivering Claude models and applications into public sector environments. Coordinate research, infrastructure, security, compliance, cloud partners, and product engineering across government segments. Drive FedRAMP and related authorization programs, sequence dependencies, manage risks and escalations, represent public sector requirements in launch planning, and establish repeatable processes for compliant deployments.

Own pipeline generation for a sales territory by managing inbound leads, qualifying prospects, and executing strategic outbound initiatives. Collaborate with sales teams to improve lead handoffs, identify market opportunities, and generate high-intent opportunities across startup and enterprise segments. Use analytical insights to inform sales strategy and resource allocation while continuously refining processes for greater efficiency.

Manage and expedite complex enterprise deals across CPQ, Salesforce, and contract systems. Own deal execution processes, improve CPQ/configurations, build tooling, remove sales friction, coordinate cross-functional stakeholders, and analyze deal patterns to scale commercial operations.

Design, maintain, and optimize encoding libraries and prompt-structure abstractions used across Anthropic. The role involves supporting multimodal data, running experiments on structured inputs, performing complex refactors, improving performance, and adapting systems for emerging AI research and production needs. The engineer will collaborate closely with researchers and engineers while maintaining intuitive APIs and enabling new encoding capabilities.