채용
Benefits & Perks
•Equity
•Unlimited PTO
•Flexible Hours
•Parental Leave
•Learning Budget
•Equity
•Unlimited Pto
•Flexible Hours
•Parental Leave
•Learning
Required Skills
Enterprise sales
Sales leadership
Team management
Sales strategy
Pipeline management
Forecasting
Technical acumen
Financial industry knowledge
Stakeholder management
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.
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:
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Build and lead a high-performing team of Enterprise Account Executives focused on Industries, providing coaching, mentorship, and guidance to drive team success
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Develop and implement sales strategies tailored to Industries procurement cycles and budgeting processes to meet and exceed team revenue quotas
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Create and maintain accurate forecasts, pipeline management, and reporting while ensuring data integrity in CRM systems
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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
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Work closely with Applied AI Engineering teams to demonstrate technical capabilities pre-sales and optimize solutions post-sales for financial applications
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Enable your team to have credible technical conversations about AI applications in Industries while maintaining appropriate guardrails
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Build strong partnerships across the organization to drive strategic initiatives within the Industries sector
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Identify and execute on new market opportunities and use cases for Anthropic's AI solutions within financial departments, research centers, and administrative offices
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Help your team navigate complex financial stakeholder ecosystems including executives, administrators, IT departments, and procurement offices to build consensus
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Gather and synthesize customer feedback from financial users to inform product direction and enhance customer experience for Industries
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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:
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15+ years of enterprise sales experience in Industries technology, preferably driving adoption of SaaS or emerging technologies
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5+ years of sales leadership experience, ideally 3+ leading teams within the Enterprise segment focused on Industries in DACH and CEE
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Proven track record of building and leading high-performing sales teams selling into financial institutions, with demonstrated success in coaching and developing AEs
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Experience establishing and scaling sales processes, tools, and methodologies in fast-growing organizations serving Industries
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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
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Track record of successful partnership with technical teams throughout the customer journey within financial institutions
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Deep understanding of Industries buying cycles, procurement frameworks, and key pain points
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Demonstrated ability to navigate complex, multithreaded sales cycles across diverse stakeholder groups and drive cross-functional initiatives
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Experience managing complex enterprise sales cycles within financial institutions and helping AEs secure strategic deals
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Strong operational rigor in pipeline management, forecasting, and sales metrics specific to Industries sales cycles
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Excellent communication skills and ability to build relationships across all levels, from analysts and researchers to senior executives in Industries
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Strategic approach to financial market analysis combined with tactical excellence in execution
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Passion for AI technology and commitment to its safe, responsible development for financial use cases
Logistics Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience.
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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About Anthropic

Anthropic
Series FAn AI safety and research company that builds reliable, interpretable, and steerable AI systems.
1,001-5,000
Employees
San Francisco
Headquarters
$60B
Valuation
Reviews
4.5
20 reviews
Work Life Balance
3.0
Compensation
4.5
Culture
4.8
Career
4.2
Management
3.5
100%
Recommend to a Friend
Pros
Exceptional team quality and talent
Cutting-edge AI and technical work
Strong mission-driven culture
Cons
Long working hours
Opaque leadership and management
High learning curve and fast pace
Salary Ranges
31 data points
Senior/L5
Senior/L5 · Analytics Engineer
1 reports
$409,500
total / year
Base
$315,000
Stock
-
Bonus
-
$409,500
$409,500
Interview Experience
5 interviews
Difficulty
4.0
/ 5
Offer Rate
40%
Experience
Positive 40%
Neutral 40%
Negative 20%
Interview Process
1
Application Review
2
Recruiter Screen
3
Technical Phone Screen
4
Technical Interview
5
System Design Round
6
Final Round/Onsite
7
Offer
Common Questions
Coding/Algorithm
System Design
Technical Knowledge
Behavioral/STAR
ML/AI Concepts
News & Buzz
Anthropic Company Reviews & WLB Discussions
4.8/5 overall rating. Compensation rated 4.9/5, Work-Life Balance rated 3.6/5 (lowest). Reports of 60+ hour weeks during peak periods.
News
·
NaNw ago
Anthropic Reviews: Pros & Cons of Working At Anthropic
4.4/5 rating. 95% recommend to friend. Praised for mission-driven culture and compensation. Criticized for work-life balance and chaotic priorities.
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Anthropic Interview Experience (Software Engineer Role)
Detailed interview experience covering coding assessment, system design, and culture fit. Notes interview difficulty and long process.
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NaNw ago
My 2025 Anthropic Software Engineer Interview Experience
First-hand account of interview process including 90-min CodeSignal, system design, and culture rounds. Describes process as rigorous but fair.
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