23 hours ago
London, United KingdomStaff+
Responsibilities
- Hire, develop, retain, and directly manage Technical Deployment Leads embedded in Financial Services engagements.
- Own engagement portfolio health, customer outcomes, staffing decisions, quality reviews, and escalation support across the vertical.
- Lead the most complex customer engagements from delivery planning through production deployment.
- Set standards for SOW quality, MVP scoping, delivery excellence, value measurement, and impact reporting.
- Codify reusable solution patterns, evaluation frameworks, and technical playbooks to scale the practice.
- Partner with Sales and Marketing on qualification, scope, SOWs, go-to-market materials, reference cases, and positioning.
- Run the team’s operating rhythm, set goals tied to customer outcomes, and report into post-sales dashboards and cadences.
- Surface delivery lessons and Financial Services use cases to Product and Research and represent the vertical in leadership discussions.
- Travel to customer sites 25–50% of the time.
Requirements
- 8+ years leading enterprise AI/ML delivery and at least 3 years directly managing people who owned delivery outcomes.
- Track record of building and leading technical delivery teams in enterprise environments, ideally including embedded or forward-deployed teams.
- Experience delivering AI, ML, or LLM-based agentic solutions into production, including solution patterns and integration approaches.
- Financial Services experience with banks, insurers, or asset managers, including understanding of model risk, security, and compliance reviews.
- Ability to navigate architecture discussions, evaluate technical trade-offs, and assess whether agent designs are realistic.
- Experience with value-based scoping, TCO/ROI quantification, and post-deployment impact measurement.
- Experience building a team, practice, or function from an early stage and working effectively in ambiguity.
- Executive presence and the ability to communicate clearly with senior leaders and technical teams.
- Strong written and verbal communication skills.
- Bachelor’s degree or an equivalent combination of education, training, and/or experience in a relevant field or demonstrated through coursework, training, or professional experience.
Benefits
- Annual salary range of £255,000–£325,000 GBP.
- Visa sponsorship is offered, with the qualification that Anthropic cannot successfully sponsor every role and candidate and will make every reasonable effort if an offer is made.
- Hybrid work policy currently expects staff to work from an Anthropic office at least 25% of the time, though some roles may require more.
- Flexible working hours, generous vacation and parental leave, optional equity donation matching, and office collaboration space.
Categories
Forward Deployed
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.