Technical Deployment Lead
Anthropic· Applied AI
Hybrid (Boston, MA), Hybrid (New York, NY), Hybrid (San Francisco, CA), Hybrid (Seattle, WA)$275k - $380kFull-timePosted 10mo ago
About the role
Lead the delivery of custom AI agent solutions for enterprise customers in highly regulated industries. Own engagements end-to-end from SOW through production deployment, coordinate with Forward Deployed Engineers, manage scoping, stakeholder relations, value measurement, and regulatory navigation.
Responsibilities
- Own the technical delivery plan for each engagement. Structure SOWs with clear scope, milestones, dependencies, success criteria, and value hypotheses. Translate customer business objectives into a sequenced roadmap that FDEs execute against.
- 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 escalate 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).
Qualifications
- Have led AI/ML engagements/deployments, whether as a founder, data scientist, engineer, researcher, or in a professional services or consulting role.
- Have delivered AI, ML, or LLM-based agentic solutions into production. You understand solution patterns, integration approaches, and what breaks in real environments.
- Have experience in a specialized vertical (financial services, life sciences, pharmaceutical, retail, mining, agriculture, etc.).
- Can lead architecture discussions with engineering stakeholders, evaluate technical trade-offs, and pressure-test technical decisions. You won't write production code, but you will own the technical direction of engagements alongside FDEs.
- Have a track record delivering complex, high-stakes technical projects for enterprise clients where outcomes depended on tight coordination and fast decision-making — ideally across multiple workstreams in regulated industries.
- Have executive presence — polished, credible, and comfortable representing Anthropic to senior leaders in high-stakes environments.
- Thrive in ambiguity and bring structure where none exists.
- Have a builder's mindset — you're here to create a function, not join one.
Skills
Required:SOW and engagement planningTechnical delivery leadershipExecutive stakeholder managementProduct scoping and backlog managementRegulatory and security navigation
Benefits
- Competitive compensation and benefits
- Optional equity donation matching
- Generous vacation and parental leave
- Flexible working hours
- Office space for collaboration
- Visa sponsorship available where possible
Last updated Oct 14, 2026. Interested? Apply on the company site.
About Anthropic
building reliable, interpretable, and steerable AI systems
Anthropic is an AI safety and research company that's working to build reliable, interpretable, and steerable AI systems.
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