4 days ago
Paris, FranceStaff+
Responsibilities
- Own technical delivery plans, statements of work, milestones, dependencies, success criteria, and sequenced roadmaps for customer engagements.
- Lead technical discovery by mapping customer workflows, identifying constraints, defining MVP scope, and shaping solution architecture for custom agent deployments.
- Direct day-to-day engineering execution across Anthropic and customer teams, making scope and priority trade-offs to protect critical paths.
- Own product scoping, requirements documentation, engineering backlog prioritization, and scope management for field engagements.
- Manage customer relationships, executive briefings, stakeholder communications, procurement coordination, and technical representation with senior leaders.
- Define impact hypotheses, baselines, and KPIs; conduct pre- and post-deployment measurement and report ROI to executive sponsors.
- Create reusable solution patterns, evaluation frameworks, and technical playbooks and relay field insights to Product and Research.
- Navigate security reviews, legal approvals, procurement, compliance requirements, organizational dynamics, evolving requirements, contract changes, and delivery risks.
- Run sprint ceremonies, milestone reviews, progress reporting, and other delivery operations.
- Travel to customer sites to build relationships, unblock delivery, and accelerate adoption, with 25–50% travel expected.
Requirements
- 5+ years of customer-facing technical delivery leadership in areas such as technical engagement management, technical program management, technical product management, professional services, consulting, enterprise software, or related technical backgrounds.
- Experience deploying AI-, ML-, or LLM-based agentic solutions into production, including understanding solution patterns, integration approaches, and real-world deployment challenges.
- Ability to lead architecture discussions, evaluate technical trade-offs, and pressure-test technical decisions without writing production code.
- Track record delivering complex, high-stakes technical projects for enterprise clients through close coordination and rapid decision-making, preferably across regulated-industry workstreams.
- Strong executive presence and credibility with senior business and engineering leaders.
- Ability to operate in ambiguous environments, create structure, and build a new function.
- Preferred experience in financial services, healthcare, life sciences, pharmaceuticals, professional services, consulting, or Forward Deployed Engineering organizations.
- Preferred experience with regulated industries, compliance requirements, delivery teams with embedded engineers, AI agent frameworks, tool-use patterns, and orchestration architectures.
- Exceptional understanding of LLM capabilities and limitations is preferred.
Benefits
- Bachelor’s degree or an equivalent combination of education, training, and/or experience; the field of study should be relevant to the role.
- Hybrid policy requiring staff to work from an Anthropic office at least 25% of the time, with some roles requiring more office time.
- Visa sponsorship is offered with reasonable efforts made after an offer, subject to role and candidate sponsorship feasibility.
- Competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and office space for collaboration.
Categories
Solutions Engineering
About Anthropic
Anthropic builds large language models and the Claude AI assistant for developers and enterprises, offered via API access and enterprise plans. Founded in 2021 and headquartered in San Francisco, it distributes Claude through its own platform and via partners such as Amazon Bedrock and Google Cloud’s Vertex AI. Its work emphasizes model reliability, interpretability, and practical tooling for tasks like coding assistance, analysis, and customer support automation.