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Anthropic

Builds Claude AI models with a focus on safety

Technical Deployment Lead

Implementation & Technical Account ManagementConfirmed live in the last 24 hours
Full-timeParis, FranceNo salary listed

About the Job

Requirements

  • Have 5+ years of customer-facing technical delivery leadership in areas such as technical engagement management, technical program management, technical product management, startups, technical-adjacent backgrounds, professional services, consulting, or enterprise software.
  • Have delivered AI-, machine-learning-, or large language model-based agentic solutions into production, with understanding of solution patterns and integration approaches.
  • Be able to lead architecture discussions with engineering stakeholders, evaluate technical trade-offs, and pressure-test technical decisions.
  • Have a track record delivering complex, high-stakes technical projects for enterprise clients where outcomes depended on close coordination and fast decision-making, ideally across multiple workstreams in regulated industries.
  • Have executive presence and be credible and comfortable representing the company to senior leaders in high-stakes environments.
  • Be able to thrive in ambiguity and bring structure to undefined situations.
  • Have a builder's mindset and be prepared to create a function.
  • Have a bachelor's degree or an equivalent combination of education, training, and/or experience.
  • Have a field of study relevant to the role, demonstrated through coursework, training, or professional experience.

Responsibilities

  • Own the technical delivery plan for each engagement by structuring statements of work with clear scope, milestones, dependencies, success criteria, and value hypotheses, and translating customer business objectives into a sequenced roadmap for Forward Deployed Engineers.
  • Lead technical discovery by mapping customer workflows, identifying constraints, defining minimum viable product scope, and shaping solution architecture for custom agent deployments.
  • Run day-to-day engineering execution and delivery across company and customer teams, keep progress unblocked and sequenced, and make real-time scope and priority trade-offs to protect the critical path.
  • Own product scoping for field engagements by defining the minimum viable product, authoring requirements documentation, prioritizing the engineering backlog, and managing 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 the company's technical credibility with senior business and engineering leaders.
  • Own value measurement and return on investment by defining impact hypotheses, setting baselines and key performance indicators, conducting pre- and post-deployment measurement, and reporting outcomes to executive sponsors.
  • Codify reusable solution patterns, evaluation frameworks, and technical playbooks; extract effective practices 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 when needed.
  • Run delivery operations, including sprint ceremonies, milestone reviews, and progress reporting.
  • Travel to customer sites to build relationships, unblock delivery, and accelerate adoption; 25–50% travel is expected.

Desired Qualifications

  • Experience in financial services, healthcare or life sciences, or pharmaceutical industries.
  • Background at a Forward Deployed Engineering company or professional services and consulting firms.
  • Exceptional understanding of large language model capabilities and limitations.
  • Experience with regulated industries and compliance requirements.
  • Experience managing delivery teams with engineers embedded at customer sites.
  • Familiarity with AI agent frameworks, tool-use patterns, and orchestration architectures.

About the Company

Anthropic

Builds Claude AI models with a focus on safety

Anthropic builds the Claude family of AI models and sells them to businesses, software developers, and consumers, with research on making AI safe and understandable at the center of its work. In 2024 it introduced the Model Context Protocol, an open standard for connecting AI assistants to outside apps and data that OpenAI and Google adopted the next year. People use the Claude app to write and analyze files, programmers hand coding tasks to Claude Code, and companies build Claude into their own products through its API. Anthropic earns money from subscriptions, business plans, and usage-based API fees. Siblings Dario and Daniela Amodei founded Anthropic in 2021 with other former OpenAI employees, and it is based in San Francisco.

Company size
5,001-10,000
Company stage
N/A
Total funding
$243.8B
Headquarters
San Francisco, CA
Founded
2021

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