Top Tech Jobs & Startup Jobs in NYC, NY

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.

Drive AI adoption and value realization for commercial customers using Anthropic’s Claude products. Build strategic relationships, guide API and enterprise product usage, identify optimization and expansion opportunities, lead change management and enablement programs, conduct business reviews, quantify ROI, and communicate customer insights to Product and Sales teams.

Own Anthropic’s developer-focused brand writing across campaigns, launches, social, paid media, events, and enterprise materials. Build developer voice and tone standards, adapt technical content into accurate and compelling copy, collaborate with Dev Rel, Comms, design, and marketing teams, manage technical review, present creative rationale, and use performance feedback to improve messaging.

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.

Leads and develops a team of 5–10 Customer Success Managers serving strategic cybersecurity accounts. The role drives adoption, consumption growth, retention, expansion, customer satisfaction, and executive-level engagement. Responsibilities include building scalable success processes and playbooks, managing escalations and forecasts, partnering with Sales, Product, Engineering, and Marketing, supporting hiring and coaching, and providing cybersecurity and AI expertise to customers and internal teams.

Design, build, and maintain Salesforce infrastructure for partnerships, including deal registration, partner attribution, co-sell, portals, and marketplace operations. Develop Apex, Lightning Web Components, Flow automation, and integrations with cloud marketplaces and partner platforms. Collaborate with Revenue Operations, Finance, Partnerships, DevOps, and engineering teams on data models, releases, testing, controls, documentation, and scalable solutions. Use AI-assisted development tools throughout coding and review workflows.

Leads and develops a team of Customer Success Managers serving commercial accounts. Builds scalable success strategies, processes, playbooks, and adoption motions to drive consumption, expansion, retention, and customer value. Coaches team members, manages escalations and strategic engagements, oversees portfolio forecasting, partners cross-functionally, and contributes to hiring, training, customer advocacy, and responsible AI adoption.

Build safety and oversight infrastructure for AI systems, including behavioral monitoring, automated enforcement, internal dashboards, multi-cloud deployments, sandboxed agent runtimes, network and data access controls, audit logging, and observability. Manage platform capacity, costs, and service-level objectives while collaborating with researchers, engineers, security, privacy, and legal teams to deploy trusted detection and mitigation systems.

Build and maintain recruiting analytics data infrastructure using BigQuery, dbt, Fivetran, SQL, and Python. Design dimensional models, ETL/ELT pipelines, semantic layers, governance controls, data security, monitoring, and standardized recruiting metrics. Integrate Workday, Greenhouse, and internal systems while supporting batch and real-time analytics. Partner with data scientists, engineers, recruiters, and business stakeholders to deliver trusted data products and AI-enabled workforce insights.