Manager, Enterprise Account Executive, Tech

About the role

As a Sales Manager at Anthropic, you'll lead a team of Enterprise Account Executives driving the adoption of safe, frontier AI by securing strategic deals with top enterprises in the Tech space. You'll leverage your leadership and consultative sales expertise to propel revenue growth while developing a high-performing team of AEs.

Responsibilities

• Build and lead a high-performing team of Enterprise Account Executives, providing coaching, mentorship, and guidance to drive team success
• Develop and implement sales strategies 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
• Work closely with Applied AI Engineering teams to demonstrate technical capabilities pre-sales and optimize solutions post-sales
• Enable your team to have credible technical conversations while maintaining appropriate guardrails
• Identify and execute on new market opportunities and use cases for Anthropic's AI solutions
• Gather and synthesize customer feedback to inform product direction and enhance customer experience
• Build and continuously refine the sales methodology by incorporating learnings into playbooks and best practices

Requirements

• 7+ years of enterprise sales experience driving adoption of emerging technologies
• 5+ years of sales leadership experience, ideally 3+ leading teams within the Enterprise segment
• Proven track record of building and leading high-performing sales teams, with demonstrated success in coaching and developing AEs
• Experience establishing and scaling sales processes, tools, and methodologies in fast-growing organizations
• Strong technical acumen and ability to understand complex AI solutions, with experience enabling teams to have credible technical conversations
• Track record of successful partnership with technical teams throughout the customer journey
• Demonstrated ability to navigate dynamic stakeholder ecosystems and drive cross-functional initiatives
• Experience managing complex enterprise sales cycles and helping AEs secure strategic deals
• Excellent communication skills and ability to build relationships across all levels
• Strategic approach to market analysis combined with tactical excellence in execution
• Passion for AI technology and commitment to its safe, responsible development

Qualifications

• Years of experience required will correlate with the internal job level requirements for the position
• 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

Benefits

• 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.
• Annual Salary $380,000—$450,000 USD

Schedule

Logistics

Location

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.

How We're Different

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. Come work with us!

Guidance on Candidates' AI Usage

We offer guidance on candidates' AI usage to ensure fairness and transparency in our hiring process. Please refer to our policy for details.