Enterprise Account Executive, DNB (AI)

Location: London, UK; hybrid policy requiring staff to be in one of the offices at least 25% of the time, with some roles requiring more office attendance.

Annual OTE compensation: £195,000–£280,000 GBP, including target sales commissions or bonuses and annual base salary.

Company

Anthropic builds reliable, interpretable, and steerable AI systems intended to be safe and beneficial for users and society.

What you will do

• Win new enterprise business, drive revenue, educate prospective customers about LLMs, and own the full sales cycle from outbound prospecting through launch.
• Design and execute sales strategies, partnerships, and campaigns to meet or exceed revenue quotas.
• Identify new customer segments and use cases, and collaborate with go-to-market, product, and marketing teams to differentiate offerings.
• Gather customer feedback and market needs to inform product roadmaps, features, value propositions, and customer experience improvements.
• Refine sales methodologies through playbooks, templates, best practices, and process improvements that increase sales productivity and consistency.

Requirements

• 5+ years of enterprise sales experience driving adoption of emerging technologies through a consultative, solutions-oriented approach.
• Experience managing complex sales cycles, understanding multifaceted technical requirements, and creating tailored solutions for strategic deals.
• Ability to navigate dynamic stakeholder ecosystems, build consensus, and provide innovative solutions to disparate groups.
• Extensive experience negotiating highly complex, customized commercial agreements with multiple stakeholders.
• Proven success exceeding revenue targets in fast-paced organizations while managing an evolving pipeline and sales process.
• Excellent communication skills, with the ability to present confidently and build connections from individual contributors through C-level executives.
• Strategic and analytical approach to market assessment combined with creative, tactical execution.
• Team-oriented, hands-on approach and ability to bring order to chaos.
• Passion for or experience with advanced AI systems and strong commitment to safe development of frontier AI systems.
• Bachelor’s degree or an equivalent combination of education, training, and experience; relevant field of study demonstrated through coursework, training, or professional experience.

Culture & Benefits

• Collaborative environment spanning research, engineering, policy, and business functions.
• Flexible working hours and a location-based hybrid office policy.
• Competitive compensation, optional equity donation matching, generous vacation, and parental leave.
• Office space designed for collaboration and frequent research discussions.
• Visa sponsorship may be available, with reasonable efforts and immigration-lawyer support for eligible offers.