Top Tech Jobs & Startup Jobs in NYC, NY

Own the ideation and development of ambitious 0-to-1 AI products for Anthropic’s Labs team. Partner with researchers to identify emerging capabilities, build prototypes, define product strategy, and lead initiatives from research through launch. The role requires translating frontier AI research into innovative products, validating ideas efficiently, and guiding vision, roadmaps, and execution for experimental technologies.

Own and grow a portfolio of nonprofit and higher education customers, driving retention, adoption, expansion, and workflow transformation using Claude. Lead strategic conversations, automate routine account work, identify growth opportunities, coordinate launches and events, build scalable customer programs, and relay customer feedback across Product, Marketing, Support, and Operations.

Lead the design, development, and operation of AI platform API capabilities for Claude models. Own API readiness for model launches, collaborate across research, product, safeguards, and cloud teams, and establish technical direction. Build developer-facing features such as tool use, web search, code execution, memory, and structured outputs. Define API designs, automate launch processes, develop production evaluations, review technical proposals, resolve launch issues, and mentor engineers.

Own Anthropic’s partner specialization program from requirements and evidence standards through evaluation, qualification, renewal, appeals, and benefits. Run evaluation cycles, make consistent decisions, communicate outcomes to partner executives, and coordinate marketing, enablement, product, and industry teams. Use program data, CRM/PRM systems, SQL or BI tools, and automation to scale operations. Develop partner-facing guidance, launch new specializations, and establish repeatable operating processes.

Own and scale global HR compliance programs, including background checks, audits, government reporting, compliance calendars, policies, and employee lifecycle processes. Partner with Legal, Payroll, People Systems, Internal Audit, and Compliance to build scalable controls and reporting. Manage vendors, prepare audit evidence, interpret regulatory obligations across countries, and streamline compliance workflows. The role requires strong HR operations experience, clear communication, and the ability to navigate ambiguity while maintaining quality and reducing risk.

Own the marketing strategy, brand, launches, communications, web presence, social growth, and community programs for Claude Frontier Academy. Partner with customers, partners, communications, brand, and account teams to coordinate announcements, amplify program milestones, build advocacy, and clarify the Academy’s relationship to other Anthropic education programs. Develop annual plans, messaging, executive updates, success metrics, and marketing materials while operating strategically and hands-on.

Conduct research and engineering for large language model pre-training, including model architectures, algorithms, data processing, optimizers, experiments, and training infrastructure. Lead research projects, optimize large-scale GPU systems, improve developer tooling, and contribute across the stack. The role emphasizes reliable, interpretable, steerable, and safe AI systems, with collaboration across research and engineering teams.

Drive AI adoption and measurable outcomes across strategic enterprise technology accounts. Build executive relationships, guide customers on Claude products, optimize usage, develop ROI cases, manage account success plans, lead change management and enablement programs, and identify expansion opportunities. Partner cross-functionally to communicate product roadmaps, influence product development, and help customers scale AI use cases across their organizations.

Own and architect large-scale backend systems powering Anthropic’s API, Claude products, and enterprise platforms. Lead complex projects, make scalability and reliability decisions, collaborate across engineering, product, research, and commercial teams, and remain hands-on with code and AI models. Potential areas include platform serving, developer experience, agentic systems, identity, enterprise foundations, safety, and cloud-native distribution.

Build and operate production data pipelines, models, identity resolution, canonical data layers, and GTM data products. Integrate internal and external sources, establish data quality and governance, generate intelligence and AI-derived attributes, and deliver trusted data to CRM systems. Partner with Sales Operations, Finance, Data Science, and engineering teams on definitions, planning, segmentation, routing, observability, security, and platform scalability.