Technical Deployment Lead
$25k - $50k • Austin, TX; Boston, MA; New York City, NY; San Francisco, CA; Seattle, WA
Posted 1d ago
About the job
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 role where you will help build technical playbooks and define processes for scaling this emerging motion. You will champion our mission, ensure world-class delivery, and bring insights back to our product and research teams. You'll own engagements end-to-end, from SOW through production deployment, working alongside Forward Deployed Engineers while owning product scoping, stakeholder management, value measurement, and the organizational complexity of deploying AI agents in enterprise environments. You need to be technical enough for architecture conversations and polished enough for executive briefings.
Responsibilities
- Own the technical delivery plan for each engagement, structuring SOWs with clear scope, milestones, dependencies, success criteria, and value hypotheses.
- Translate customer business objectives into a sequenced roadmap for Forward Deployed Engineers (FDEs) to execute.
- Lead technical discovery, mapping customer workflows, identifying constraints, defining MVP scope, and shaping solution architecture for custom agent deployments.
- Run day-to-day engineering execution, driving delivery across Anthropic and customer teams, keeping progress unblocked and sequenced.
- Make real-time trade-offs on scope and priority to protect the critical path.
- Own product scoping for field engagements, defining the MVP, authoring requirements documentation, prioritizing the engineering backlog, and managing scope against evolving success criteria.
- Own the customer relationship throughout delivery, leading executive briefings, managing stakeholder communications, and representing Anthropic's technical credibility.
- Own value measurement and ROI, defining impact hypotheses, setting baselines and KPIs, running pre- and post-deployment measurement, and reporting outcomes to executive sponsors.
- Codify reusable delivery assets by building solution patterns, evaluation frameworks, and technical playbooks.
- Extract successful patterns across engagements and feed field signals back to Product and Research to improve the platform and models.
- Navigate enterprise and regulatory complexity, including security reviews, legal approvals, procurement processes, compliance requirements, and organizational dynamics.
- Manage scope and change by handling evolving requirements, setting expectations, negotiating contract modifications, identifying risks early, and escalating with clear context.
- Run delivery operations, including sprint ceremonies, milestone reviews, and progress reporting.
- Travel to customer sites (25-50% expected) to build relationships, unblock delivery, and accelerate adoption.
Requirements
- Experience leading AI/ML engagements/deployments (founder, data scientist, engineer, researcher, professional services, or consulting).
- Experience delivering AI, ML, or LLM-based agentic solutions into production, understanding solution patterns, integration approaches, and real-world challenges.
- Experience in a specialized vertical (e.g., financial services, life sciences, pharmaceutical, retail, mining, agriculture).
- Ability to lead architecture discussions with engineering stakeholders, evaluate technical trade-offs, and pressure-test technical decisions.
- Track record of delivering complex, high-stakes technical projects for enterprise clients with tight coordination and fast decision-making, ideally across multiple workstreams in regulated industries.
- 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.
- A builder's mindset.