[London] Manager, Technical Deployment

Overview

In this role, you lead a Technical Deployment team embedded with Financial Services engagements to drive production AI outcomes. You’ll set delivery quality and develop scalable playbooks that support Anthropic’s aim to be a trusted AI transformation partner for large enterprises. You’ll balance hands-on leadership with executive-facing engagement, shaping technical direction while delivering measurable impact. This position combines people management, strategic delivery, and cross-functional collaboration to advance safe, value-driven AI at scale.

Pay / Benefits

• competitive compensation and benefits
• optional equity donation matching
• generous vacation and parental leave
• flexible working hours
• office space for collaboration

Responsibilities

• Hire, develop, and retain a team of TDLs embedded in Financial Services engagements.
• Set a high bar for delivery judgment, technical fluency, and customer presence; lead interview processes.
• Manage each TDL directly with 1:1s, expectations, feedback, and growth plans.
• Own portfolio health across the vertical; monitor engagements and intervene when needed.
• Own customer outcomes across the portfolio; manage executive sponsor relationships and steering committees.
• Make staffing decisions for engagements; coordinate with FDE managers on fit and scope changes.
• Lead the most complex engagements personally when required, from plan to production.
• Set standards for SOW quality, MVP scoping, and value measurement; ensure defensible impact stories.
• Codify reusable patterns, evaluation frameworks, and playbooks to scale delivery.
• Collaborate with Sales, Marketing on go-to-market materials and engagement qualification.
• Run operating rhythm: reviews, knowledge sharing, escalation support, and post-sales cadence.
• Surface delivery lessons and Financial Services use cases to Product/Research and leadership.
• Represent Anthropic’s culture and values with customers.
• Travel 25–50% to client sites.

Key requirements

• 8+ years leading enterprise AI/ML delivery with at least 3 years directly managing people.
• Proven track record building and leading technical delivery teams in enterprise environments, including embedded/forward-deployed teams.
• Delivery of AI/ML/LLM-based agentic solutions into production; strong understanding of integration and production challenges.
• Depth in Financial Services; experience with model risk, security, and compliance considerations; ability to converse credibly with CIOs and risk leaders.
• Ability to navigate architecture discussions with engineering stakeholders and judge feasibility of agent designs.
• Accountability for technical direction alongside FDEs.
• Experience with value-based scoping, including ROI/TCO and post-deployment impact measurement.
• Thrives in ambiguity; has built teams or functions from early stages.
• Executive presence: credible and concise with senior leaders; effective on hands-on engagement reviews.
• Strong written and verbal communication; ability to translate technical complexity for diverse audiences.

• executive presence
• strong communication
• cross-functional collaboration
• enterprise AI delivery
• architecture discussion facilitation
• SOW design and value-driven scoping

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