Top Tech Jobs & Startup Jobs in NYC, NY

Build and rapidly prototype full‑stack applications that bring frontier AI into non‑software workflows. Partner with researchers, domain experts, and users to design, test, and iterate product concepts, run structured experiments, gather feedback, and translate model capabilities into usable tools for frontline professionals. Contribute across Labs initiatives and document learnings to guide productization.

Lead and grow a team that builds Anthropic's continuous-deployment, configuration, and feature-flagging platforms. Set technical direction, drive roadmaps for progressive rollouts and health-check automation, partner cross-functionally to migrate services onto a safe deployment path, define deployment-safety metrics, and foster a high-performing, inclusive team.

Manage product direction for human data tooling, collaborating with engineering and research teams to enhance AI model data quality and collection processes.

Own and operate Anthropic's endpoint platform: manage MDM as a production service, author configuration-as-code, build zero-touch provisioning and patching automation, run fleet software distribution and telemetry, partner on endpoint security and compliance, and serve as deep escalation for endpoint issues.

Lead technical direction and hands-on development of an accelerator-agnostic inference runtime. Own architecture, performance, scheduling, memory management, validation (canary/shadow/rollback), and cross-accelerator abstractions. Drive integrations with compilers, build systems, and infra, mentor engineers, and coordinate prioritization across serving, scaling, and accelerator teams to ensure efficient, reliable inference at scale.

Lead a global startup partnerships team to drive adoption of Anthropic's AI platform (Claude). Build and scale partner ecosystems with accelerators, VCs, and regional partners, manage P&L and pipeline, recruit and develop distributed teams, and coordinate cross-functional GTM efforts while navigating regulatory and local market dynamics.

Lead cross-functional quote-to-cash programs end-to-end: own planning cadence, manage dependencies across CPQ/ERP/billing/provisioning, drive SOX readiness, coordinate engineering, finance, legal, and GTM teams, and deliver prioritized roadmap and status to leadership.

As part of the Data Science and Analytics team, the Data Scientist will drive data-informed decision making and improve developer productivity by analyzing metrics, conducting causal analyses, and presenting actionable insights to stakeholders.

Design, build, and operate Anthropic's managed caching platform: a scalable Redis fleet, client libraries, CDC-driven cache invalidation, multi-cloud deployments, observability, and tooling. Drive technical direction, optimize latency/hit rates/cost, partner with product and research teams, and make build-vs-buy decisions for caching infrastructure.

Lead cross-team planning and delivery for recruiting technology, owning roadmap, dependencies, integrations across third-party platforms and internal tooling, vendor evaluations, governance, and connecting recruiting to company-wide headcount and roadmap planning. Drive technical integrations (APIs, data flows) and partner with engineering and AI teams to embed Claude and trustworthy human-in-the-loop controls. Define long-term TPM model for the People organization.