Top Tech Jobs & Startup Jobs

Seeking an experienced Senior Business Systems Analyst to lead Workday Financials implementation, design financial data models, develop analytics solutions, and collaborate across teams to enhance financial reporting and processes.

Owns the IT aspects of mergers and acquisitions, including technical due diligence, risk assessment, integration planning, migrations, cutovers, and systems retirement. The role administers identity, applications, endpoints, infrastructure, and collaboration platforms while building automation and an M&A playbook. It partners with Security, Legal, Corporate Development, People, Finance, and IT teams, and contributes to broader Corporate Systems projects when acquisition work is limited.

Build and maintain dbt data models and pipelines for billing, payments, usage, and revenue data. Ensure data accuracy, reconciliation, integrity, and timely delivery while defining metrics and monitoring systems. Develop dashboards and self-service data products, support finance data operations, and collaborate with Billing Engineering, Finance, Accounting, and Product teams. Influence billing data architecture and engineering roadmaps.

Leads Anthropic’s new Programmatic Customer Success function, building scalable digital journeys, AI-powered engagement programs, tiered coverage models, partner-led activation, experimentation, and success metrics that drive Claude adoption. The role owns the strategy and operating model, collaborates cross-functionally with Product, Partnerships, Marketing, and Strategy, and hires and develops a small high-impact team.

Own Anthropic’s cybersecurity sales business across assigned enterprise accounts. Build and close complex security deals, create pipeline through outbound efforts and partners, advise CISOs and security leaders, coordinate proofs of concept with applied AI engineers, support security reviews and procurement, and share customer insights with product, safeguards, and marketing teams.

Build and manage dbt data pipelines, canonical datasets, dashboards, reporting, and foundational data products. Partner with Product, Engineering, and cross-functional teams to define reliable metrics, data models, technical requirements, and analytics systems for consumer products. Establish data integrity standards and SLAs, enable self-service analytics, and influence Product roadmaps through data architecture expertise.

Own Anthropic’s podcast media program across strategy, show selection, network and agency buys, partnership development, scripts, voice-actor reads, QA, pacing, reporting, and performance optimization. Coordinate with growth, brand, enterprise, creative, communications, and copy teams to integrate podcasts into campaigns. Build scalable processes, negotiate partnerships, refresh messaging across 100+ shows, and develop expanded formats including video, social, live events, and product integrations.

Build full-stack safeguards and oversight systems for AI models, including abuse-review dashboards, case queues, evidence viewers, agent supervision interfaces, and visualization tools. Own frontend architecture for sensitive, data-intensive applications with real-time updates, strong performance, and end-to-end access controls. Collaborate with research and operational teams to detect misuse, monitor model behavior, and support safety interventions.

Own growth design for Claude, diagnosing activation, retention, engagement, and adoption barriers through data, research, experimentation, and product exploration. Set vision and roadmap with product, engineering, and data science partners; redesign onboarding and core workflows; prototype rapidly with AI tools; evaluate experiments; deliver high-quality interactions; align cross-functional teams; and mentor designers.

Own the strategy, roadmap, and execution for Claude App Foundations, including core experiences such as memory, voice mode, and artifacts. Translate AI model capabilities into intuitive consumer products, analyze metrics and user feedback, conduct experimentation and research, and prioritize improvements. Partner with design, engineering, data science, research, and marketing while maintaining high standards for product quality, safety, and ethics.