Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
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
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
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
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. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings.
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.