Technical Deployment Lead na Anthropic

Presencial - Austin, TX; Boston, MA; New York City, NY; San Francisco, CA; Seattle, WA

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As a Technical Deployment Lead on the Claude Agentic Solutions team, you will lead the delivery of custom AI agent solutions for enterprise customers in highly regulated industries. You'll own high-value engagements where we collaborate directly with customers to build and deploy agents into their most critical business processes. This is a founding team: you will help us to build technical playbooks and define the processes and repeatable patterns needed for us to scale this emerging motion. You will champion our mission in the field, ensure world class delivery, and bring insights back to our product and research teams on a regular basis.

Salary

USD 275,000 - 380,000

Requirements

Skills

  • Lead AI/ML engagements/deployments, whether as a founder, data scientist, engineer, researcher, or in a professional services or consulting role
  • Delivered AI, ML, or LLM-based agentic solutions into production
  • Experience in a specialized vertical (financial services, life sciences, pharmaceutical, retail, mining, agriculture, etc.)
  • Ability to lead architecture discussions with engineering stakeholders, evaluate technical trade-offs, and pressure-test technical decisions
  • Track record delivering complex, high-stakes technical projects for enterprise clients where outcomes depended on tight coordination and fast decision-making
  • Executive presence – polished, credible, and comfortable representing Anthropic to senior leaders in high-stakes environments
  • Ability to thrive in ambiguity and bring structure where none exists
  • Builder's mindset – you're here to create a function, not join one
  • Bachelor’s degree or an equivalent combination of education, training, and/or experience

Responsibilities

  • Own the technical delivery plan for each engagement
  • Lead technical discovery – map customer workflows, identify constraints, define MVP scope, and shape the solution architecture for custom agent deployments
  • Run day-to-day engineering execution – drive delivery across Anthropic and customer teams, keep progress unblocked and sequenced, make real-time trade-offs on scope and priority to protect the critical path
  • Own product scoping for field engagements – define the MVP, author requirements documentation, prioritize the engineering backlog, and manage scope against success criteria as requirements evolve
  • Own the customer relationship throughout delivery – lead executive briefings, manage stakeholder communications across technical leads and procurement, and represent Anthropic's technical credibility with senior business and engineering leaders
  • Own value measurement and ROI – define impact hypotheses, set baselines and KPIs, run pre- and post-deployment measurement, and report outcomes to executive sponsors
  • Codify reusable delivery assets – build solution patterns, evaluation frameworks, and technical playbooks, extract what works across engagements and feed field signals back to Product and Research to improve our platform and models
  • Navigate enterprise and regulatory complexity – security reviews, legal approvals, procurement processes, compliance requirements, and organizational dynamics
  • Manage scope and change – handle evolving requirements, set expectations, negotiate contract modifications, identify risks early, and elevate with clear context when needed
  • Run delivery operations – sprint ceremonies, milestone reviews, and progress reporting
  • Travel to customer sites – build relationships, unblock delivery, and accelerate adoption (25–50% expected)

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