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 expected salary range for this position is:
Annual Salary:
$180,000—$350,000 USD
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.
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.
What We Do
Anthropic is an AI safety and research company that’s working to build reliable, interpretable, and steerable AI systems. Our research interests span multiple areas including natural language, human feedback, scaling laws, reinforcement learning, code generation, and interpretability.
