Top Tech Jobs & Startup Jobs in NYC, NY

Leads content strategy for executive customer programs, including executive briefings, advisory boards, and councils. Builds and maintains content modules, recruits and coaches speakers, designs executive experiences, partners with Product, Research, and Marketing, captures customer insights, measures engagement outcomes, and manages the executive program content team. Uses Claude to tailor content for enterprise customers and ensures materials remain current through rapid product and model changes.

Owns the design and execution of performance and talent programs, including review cycles, promotions, talent reviews, succession planning, calibration, and continuous feedback. Partners with People Services, People Analytics, internal product teams, and engineering to improve tooling, data quality, and scalable performance systems. Leads program redesigns, change management, stakeholder alignment, communications, and manager enablement in a rapidly growing organization.

Leads enterprise connector activation for Claude, including onboarding funnels, experimentation, authorization flows, platform APIs, governance controls, and enterprise administration. Builds reusable ecosystem foundations, improves Microsoft 365 and Google Workspace integrations, uses data and customer feedback to prioritize work, and sets technical direction while mentoring engineers and influencing cross-functional teams.

Own the design, implementation, and operation of Anthropic’s deployment platform. Lead progressive delivery, health-gated rollouts, rollback, feature flags, infrastructure-as-code, artifact distribution, and runtime configuration across Kubernetes, serverless, and edge environments. Set technical direction, build secure and scalable control-plane systems, support platform adoption across teams, and participate in on-call and incident response.

Leads data science for Anthropic’s Core Apps product organization, partnering with product leaders on strategy, roadmaps, investment decisions, and success metrics. Manages and develops a team of Product Data Scientists, establishes experimentation and causal inference standards, leads high-impact analyses, communicates recommendations to executives, and builds foundational analytics practices and infrastructure. Requires extensive product data science experience, people management, strong statistical expertise, and fluency in Python and SQL.

Manage global patent strategy and prosecution for life sciences research, including invention harvesting, filing decisions, claim strategy, inventorship, ownership, and outside counsel. Advise scientists and leadership on AI-assisted inventions, patentability, publication timing, agreements, diligence, freedom-to-operate, and emerging AI-related legal developments. Build scalable patent guidance and processes while supporting biological, chemical, platform, and computational inventions.

Develop and execute solutions marketing strategies for Claude across emerging industries and customer segments. Responsibilities include industry-specific positioning, messaging, product launches, persona-based solutions, joint go-to-market programs, sales enablement, thought leadership, campaign development, and performance reporting. The role partners closely with product, sales, alliances, communications, and marketing teams to translate complex AI capabilities into compelling narratives for technical and business audiences.

Develop machine learning systems to detect AI misuse, anomalous behavior, coordinated attacks, and agentic risks. Build synthetic data pipelines, classifiers, monitoring systems, threat models, evaluations, and mitigations for prompt injection and other harms. Conduct research in automated red-teaming and adversarial robustness while taking projects from exploratory research through production deployment and communicating technical findings to nontechnical stakeholders.

Build and scale human-data operations supporting frontier AI research. Own data strategy, vendor partnerships, collection pipelines, evaluation frameworks, quality standards, and process improvements across RLHF, safety, tool use, and agentic workflows. Partner with researchers and senior leaders to align data operations with model roadmaps, identify risks and bottlenecks, and improve research velocity while maintaining rigorous data quality.

Drive nonprofit-sector revenue by prospecting, closing, and launching strategic AI partnerships. Own the full sales cycle, develop market-expansion strategies, navigate complex stakeholder groups, negotiate customized agreements, and exceed quotas. Collaborate with GTM, Product, and Marketing teams to refine sales methodology, inform product roadmaps, build ecosystem partnerships, and promote responsible AI adoption across nonprofit organizations.