Strategic Account Executive, Retail & Commercial Banking

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 an Account Executive focused on Retail & Commercial Banking at Anthropic, you'll be part of the foundational team bringing frontier AI to the institutions that serve millions of consumers and businesses every day. You'll drive adoption of Claude across regional and national banks, credit unions, and commercial lenders—helping them transform workflows in customer service, lending operations, risk management, and branch productivity.

You'll leverage consultative sales expertise and sector knowledge to secure strategic enterprise deals while becoming a trusted partner to stakeholders navigating AI deployment in highly regulated, customer-facing environments. In collaboration with GTM, Product, Policy, and Marketing teams, you'll shape our approach to this high-volume vertical and help define how AI enhances both operational efficiency and customer experience in banking.

Responsibilities

• Own the full sales cycle from prospecting through close, winning new business and driving revenue within retail and commercial banking accounts. Navigate organizational structures to reach decision-makers across lines of business, operations, technology, and innovation teams.
• Design and execute sales strategies tailored to the unique procurement dynamics, budget cycles, and regulatory considerations of depository institutions. Translate market intelligence into targeted account plans and campaigns.
• Identify and develop new use cases across banking workflows—customer support and contact centers, loan origination and underwriting, fraud detection, compliance documentation, and relationship manager enablement—collaborating cross-functionally to differentiate our offerings.
• Build consensus across complex stakeholder ecosystems including business line leaders, Chief Digital Officers, risk and compliance teams, and procurement.
• Serve as the voice of the customer internally, gathering feedback from users and conveying market needs to inform product roadmaps, security requirements, and go-to-market positioning.
• Contribute to the evolution of our financial services sales methodology by documenting learnings, refining playbooks, and identifying process improvements that drive productivity and consistency.

You may be a good fit if you have

• 5+ years of enterprise B2B sales experience, with significant time selling into retail banks, commercial banks, or credit unions
• A track record of closing complex, multi-stakeholder deals within depository institutions by navigating both technical requirements and business use cases
• Deep familiarity with how banks buy technology—including vendor risk management, regulatory compliance reviews, and enterprise procurement processes
• Experience negotiating enterprise agreements within banking procurement frameworks, including navigating legal, compliance, and infosec requirements
• Proven history of exceeding revenue targets by effectively managing pipeline and executing a disciplined sales process
• Strong communication skills and the ability to present confidently to audiences ranging from branch operations leaders to C-suite executives
• Understanding of retail and commercial banking operations, customer experience priorities, and competitive dynamics in the sector
• A strategic, analytical mindset combined with creative tactical execution
• Genuine enthusiasm for AI and its potential to transform banking, paired with appreciation for the importance of safe, responsible, and compliant deployment

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.

Annual Salary:

$290,000—$435,000 USD

Logistics

Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience.

{#location-policy}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.{/location-policy}

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