Enterprise Account Executive, Federal Civilian Sales

Anthropic · Sales

支持签证Anthropic H-1B 获批 76 次 (FY2025)英国签证担保名单$380k–$450k/年Washington, DC发布 2026-04-20
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Visa sponsorship:  We do sponsor visas!

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职位描述 Job description

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 Federal Civilian Account Executive at Anthropic, you'll drive the adoption of safe, frontier AI across federal civilian agencies. You'll leverage your deep understanding of federal civilian operations and consultative sales expertise to propel revenue growth while becoming a trusted partner to customers, helping them embed and deploy AI while uncovering its full range of capabilities. In collaboration with GTM, product, and marketing teams, you'll help refine our approach to the federal civilian market while maintaining the highest standards of security and compliance.

Responsibilities:

Drive new business and revenue growth specifically within federal civilian agencies, owning the full sales cycle from initial outreach through deployment

Navigate the unique requirements of federal civilian procurement, including FAR/DFAR compliance, security standards, and agency-specific regulations

Build and maintain relationships with key decision-makers across federal civilian agencies, becoming a trusted advisor on AI capabilities and implementation

Develop and execute strategic account plans that align with agency missions and modernization initiatives

Coordinate closely with cloud service providers (AWS, GCP) and system integrators to ensure successful deployment and integration

Provide detailed market intelligence and customer feedback to product teams to ensure our offerings meet federal civilian requirements

Create and maintain sales playbooks specific to federal civilian use cases and procurement processes

Take a leadership role in growing our federal civilian presence while maintaining hands-on engagement with key accounts

Collaborate across teams to ensure coordinated delivery of commitments and maintain appropriate documentation of customer engagements

You may be a good fit if you have:

7+ years of enterprise sales experience in the federal civilian space, with a proven track record of driving adoption of emerging technologies

A deep understanding of federal civilian agency missions, challenges, and technology needs

Demonstrated the ability to balance strategic leadership with hands-on sales execution

Experience navigating complex federal procurement processes and compliance requirements

A strong track record of exceeding revenue targets in the federal civilian space

Extensive experience with federal civilian contracting vehicles and procurement mechanisms

Excellent relationship-building skills across all levels, from technical teams to senior agency leadership

A proven ability to coordinate across multiple stakeholders, including cloud providers and system integrators

Strategic thinking combined with attention to detail in execution

A passion for safe and ethical AI development, with the ability to articulate its importance in government contexts

Deadline to apply:  None. Applications will be reviewed on a rolling basis.

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:

$380,000 — $450,000 USD

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 sc

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