Enterprise Sales Manager, Anthropic
Digital Native Business
£280-330k
OTE
AI safety and research company
Be an early applicant
AI safety and research company
1001+ employees
Be an early applicant
£280-330k
OTE
1001+ employees
Company mission
To create reliable, interpretable, and steerable AI systems.
Role
Who you are
- 10+ years of enterprise sales experience selling into technology or digital-native companies, preferably driving adoption of SaaS, API-first, or emerging technologies
- 5+ years of sales leadership experience, ideally leading teams selling into DNB or technology-first organisations
- Proven track record of building and leading high-performing sales teams selling into technical buyers, with demonstrated success in coaching and developing AEs
- Experience establishing and scaling sales processes, tools, and methodologies in fast-growing organisations
- Strong technical acumen and ability to understand complex AI solutions and their applications, with experience enabling teams to have credible conversations with CTOs, VP Engineering, and technical founders
- Track record of successful partnership with technical teams throughout the customer journey
- Deep understanding of how digital-native companies evaluate and adopt new technologies, including developer-led and product-led buying motions
- Demonstrated ability to navigate complex, multithreaded sales cycles across diverse stakeholder groups and drive cross-functional initiatives
- Experience managing enterprise sales cycles and helping AEs secure strategic, high-velocity deals
- Strong operational rigor in pipeline management, forecasting, and sales metrics
- Excellent communication skills and ability to build relationships across all levels, from individual engineers to C-suite executives
- Passion for AI technology and commitment to its safe, responsible development
- Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience
- Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience
- Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position
- Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices
- Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this
- We encourage you to apply even if you do not believe you meet every single qualification
What the job involves
- As a Sales Manager at Anthropic, you’ll lead a team of Account Executives driving the adoption of safe, frontier AI among digital-native businesses
- You’ll leverage your leadership and consultative sales expertise to propel revenue growth while developing a high-performing team of AEs focused on technology companies, SaaS platforms, and other digitally mature organisations
- Working closely with Applied AI Engineering and Product teams, you’ll help DNB customers integrate and deploy AI while unlocking its full range of capabilities across their products, platforms, and operations
- In collaboration with GTM and Marketing teams, you’ll continuously refine our value proposition, sales methodology, and market positioning to resonate with technical leaders and ensure differentiated value across the DNB landscape
- The ideal candidate will have a passion for developing people, identifying market opportunities within the digital-native ecosystem, and executing strategies to capture them
- By leading the deployment of Anthropic’s emerging products, you will help technology companies obtain new capabilities while also advancing the ethical development of AI
- Build and lead a high-performing team of Account Executives focused on digital-native businesses, providing coaching, mentorship, and guidance to drive team success
- Develop and implement sales strategies tailored to DNB buying cycles and technical evaluation processes to meet and exceed team revenue quotas
- Create and maintain accurate forecasts, pipeline management, and reporting while ensuring data integrity in CRM systems
- Partner with Enablement to develop training programs and resources that accelerate AE ramp time and effectiveness, with specific focus on DNB sales motions and technical buyer personas
- Work closely with Applied AI Engineering teams to demonstrate technical capabilities pre-sales and optimise solutions post-sales for DNB use cases
- Enable your team to have credible technical conversations about AI applications with engineering leaders, CTOs, and technical founders
- Build strong partnerships across the organisation to drive strategic initiatives within the DNB segment
- Identify and execute on new market opportunities and use cases for Anthropic’s AI solutions within technology companies, developer platforms, and digital-first organisations
- Help your team navigate complex stakeholder ecosystems including technical leaders, product teams, procurement, and executive sponsors to build consensus
- Gather and synthesise customer feedback from DNB users to inform product direction and enhance customer experience
- Build and continuously refine the DNB sales methodology by incorporating learnings into playbooks and best practices
Salary benchmarks
Our take
Funded by Google and founded by ex-OpenAI employees, Anthropic has emerged as one of the leading companies in AI, focused on building reliable and safe AI systems. Since its launch, the company has rapidly grown into a major player in the industry, with its AI assistant Claude now widely recognized as a strong competitor to ChatGPT.
Like other chatbots, Claude is accessible through a conversational interface and supports a wide range of text-generation and reasoning tasks. A key point of differentiation remains its emphasis on safety, with Anthropic's "Constitutional AI" approach aiming to produce more aligned and less harmful outputs than earlier generations of AI systems.
While Claude has received significant praise for its performance and alignment, some users have notes areas for improvement, particularly in technical domains such as complex mathematics and precision in grammar. However, with substantial backing freom major tech players and multi-billion-dollar funding rounds, Anthropic has firmly established itself as a long-term competitor in the AI space.
Now the company is continuing to refine Claude's capabilities while expanding globally, including growing its presence in Europe. And its ongoing commitment to responsible AI development put it in a position to be not just a competitor, but a key influence on the direction of the industry as a whole.
Freddie
Company Specialist at Welcome to the Jungle
Insights
190% employee growth in 12 months
Company
Funding (last 2 of 16 rounds)
May 2026
$65bn
SERIES H
Apr 2026
$15bn
LATE VC
Total funding: $139.3bn
Company benefits
- Comprehensive health, dental, and vision insurance for you and your dependents
- Inclusive fertility benefits via Carrot Fertility
- 22 weeks of paid parental leave
- Flexible paid time off and absence policies
- Mental health support for you and your dependents
- Competitive salary and equity packages
- Optional equity donation matching at a 1:1 ratio, up to 25% of your equity grant
- Retirement plans with competitive matching
- Life and income protection plans
- $500/month flexible wellness and time saver stipend
- Commuter benefits
- Annual education stipend
- Home office stipends
- Relocation support for those moving for Anthropic
- Daily meals and snacks in the office
Company HQ
SoMa, San Francisco, CA
Leadership
Dario Amodei
(Co-Founder & CEO)Prior to co-founding Anthropic in 2021, Dario spent almost 5 years at OpenAI as a Team Lead for AI safety and as the Vice President of Research. They also worked as a Research Scientist at Google.
Jared Kaplan
(Co-Founder & Chief Science Officer)Jared hs been a Professor at John Hopkins University since 2012. They are also an experienced Researcher having worked previously at OpenAI and the SLAC National Accelerator Laboratory.
Jack Clark
(Co-Founder)Jack is an experienced Reporter having worked previously at the Register and Bloomberg. They also worked for OpenAI in Strategy and Communications and as a Policy Director.
Sam McCandlish
(Co-Founder & CTO)Sam graduated from Stanford University with a PhD in Theoretical Physics. They previously worked as a Research Lead at OpenAI.
Tom Brown
(Co-Founder)Tom previously worked as a Member of the Technical Staff for both OpenAI and Google Brain.
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