ApplySarthiEnterprise Sales Manager
Anthropic
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Preparing for this interview
Interviews for sales roles keep coming back to CRM, Salesforce. Practise those questions before you sit with Anthropic.
Questions you are likely to be asked
- Why do you want to join Anthropic?
- What is your experience with Stakeholder management? Tell me one thing you learned the hard way.
- Tell me about a deal you lost. What would you do differently?
- How do you handle 'your price is too high'?
- How do you find and qualify new leads?
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Practise the Enterprise Sales Manager at Anthropic interview free →About Anthropic
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.
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 financial institutions. You'll leverage your leadership and consultative sales expertise in the Industries sector to propel revenue growth while developing a high-performing team of AEs. Working closely with Applied AI Engineering and Product teams, you'll help Industries customers embed and deploy AI while uncovering its full range of capabilities in banking, research, and administration. In collaboration with GTM and Marketing teams, you'll continuously refine our value proposition, sales methodology, and market positioning to resonate with financial decision-makers and ensure differentiated value across the Industries landscape.
The ideal candidate will have a passion for developing people, identifying market opportunities within Industries, and executing strategies to capture them. By leading the deployment of Anthropic's emerging products, you will help financial institutions obtain new capabilities while also advancing the ethical development of AI.
Responsibilities:
- Build and lead a high-performing team of Enterprise Account Executives focused on Industries, providing coaching, mentorship, and guidance to drive team success
- Develop and implement sales strategies tailored to Industries procurement cycles and budgeting 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 Industries buying cycles and decision-making processes
- Work closely with Applied AI Engineering teams to demonstrate technical capabilities pre-sales and optimize solutions post-sales for financial applications
- Enable your team to have credible technical conversations about AI applications in Industries while maintaining appropriate guardrails
- Build strong partnerships across the organization to drive strategic initiatives within the Industries sector
- Identify and execute on new market opportunities and use cases for Anthropic's AI solutions within financial departments, research centers, and administrative offices
- Help your team navigate complex financial stakeholder ecosystems including executives, administrators, IT departments, and procurement offices to build consensus
- Gather and synthesize customer feedback from financial users to inform product direction and enhance customer experience for Industries
- Build and continuously refine the Industries sales methodology by incorporating learnings into playbooks and best practices
You may be a good fit if you have:
- 15+ years of enterprise sales experience in Industries technology, preferably driving adoption of SaaS or emerging technologies
- 5+ years of sales leadership experience, ideally 3+ leading teams within the Enterprise segment focused on Industries
- Proven track record of building and leading high-performing sales teams selling into financial institutions, with demonstrated success in coaching and developing AEs
- Experience establishing and scaling sales processes, tools, and methodologies in fast-growing organizations serving Industries
- Strong technical acumen and ability to understand complex AI solutions and their applications in Industries, with experience enabling teams to have credible technical conversations with financial stakeholders
- Track record of successful partnership with technical teams throughout the customer journey within financial institutions
- Deep understanding of Industries buying cycles, procurement frameworks, and key pain points
- Demonstrated ability to navigate complex, multithreaded sales cycles across diverse stakeholder groups and drive cross-functional initiatives
- Experience managing complex enterprise sales cycles within financial institutions and helping AEs secure strategic deals
- Strong operational rigor in pipeline management, forecasting, and sales metrics specific to Industries sales cycles
- Excellent communication skills and ability to build relationships across all levels, from analysts and researchers to senior executives in Industries
- Strategic approach to financial market analysis combined with tactical excellence in execution
- Passion for AI technology and commitment to its safe, responsible development for financial use cases
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.
Logistics
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.
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!
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.
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Listed on greenhouse · posted 2026-10-16. ApplySarthi collects openings and links to application pages; the role is advertised by Anthropic, not by us.