Full-Time
Manager – Enterprise Account Executive
Digital Native Sales
Posted on 8/18/2025
Anthropic
5,001-10,000 employees
Develops reliable, interpretable AI systems
Compensation Overview
$350k - $410k/yr
H1B Sponsorship Available
San Francisco, CA, USA
Hybrid
Must be in office at least 25% of the time in San Francisco.
 Sales & Account Management (1) |
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- Bachelor's degree in a related field or equivalent experience; seven or more years of enterprise sales experience driving adoption of emerging technologies; five or more years of sales leadership experience, ideally three or more leading teams within the Enterprise segment; proven track record of building and leading high-performing sales teams, with demonstrated success in coaching and developing account executives; experience establishing and scaling sales processes, tools, and methodologies in fast-growing organizations; strong technical acumen and ability to understand complex artificial intelligence solutions, with experience enabling teams to have credible technical conversations; track record of successful partnership with technical teams throughout the customer journey; demonstrated ability to navigate dynamic stakeholder ecosystems and drive cross-functional initiatives; experience managing complex enterprise sales cycles and helping account executives secure strategic deals; strong operational rigor in pipeline management, forecasting, and sales metrics; excellent communication skills and ability to build relationships across all levels; strategic approach to market analysis combined with tactical excellence in execution; passion for artificial intelligence technology and commitment to its safe, responsible development; minimum education requirement of a Bachelor's degree in a related field or equivalent experience; location-based hybrid policy requiring presence in one of Anthropic's offices at least 25% of the time; visa sponsorship available with efforts to sponsor where possible.
- Build and lead a high-performing team of Enterprise Account Executives, providing coaching, mentorship, and guidance to drive team success; Develop and implement sales strategies to meet and exceed team revenue quotas; Create and maintain accurate forecasts, pipeline management, and reporting while ensuring data integrity in customer relationship management systems; Partner with Enablement to develop training programs and resources that accelerate account executive ramp time and effectiveness; Work closely with Applied AI Engineering teams to demonstrate technical capabilities pre-sales and optimize solutions post-sales; Enable your team to have credible technical conversations while maintaining appropriate guardrails; Build strong partnerships across the organization to drive strategic initiatives; Identify and execute on new market opportunities and use cases for Anthropic's AI solutions; Gather and synthesize customer feedback to inform product direction and enhance customer experience; Build and continuously refine the sales methodology by incorporating learnings into playbooks and best practices
Anthropic focuses on AI research to build reliable, interpretable, and steerable AI systems. Its main product, Claude, is an AI assistant designed to handle tasks at any scale for clients across industries, delivered through deployment and licensing along with specialized AI R&D services. Claude works by combining natural language processing, human feedback, reinforcement learning, and interpretability techniques to produce a capable, controllable AI assistant that can assist with a wide range of tasks. The company differentiates itself from competitors by prioritizing safety, transparency, and controllability—emphasizing reliability, interpretability of model behavior, and user-controlled steerability in its AI systems. Anthropic’s goal is to make AI systems that people can trust and efficiently use to improve operations and decision-making across sectors.
Company Size
5,001-10,000
Company Stage
Late Stage VC
Total Funding
$77.3B
Headquarters
San Francisco, California
Founded
2021
Simplify's Take
What believers are saying
- Japan's megabanks access Claude Mythos by May 2026 end for operations.
- Launched 12 legal plugins May 12, 2026, attracting 20,000 professionals.
- Thomson Reuters integrates Claude with CoCounsel for 1 million users summer 2026.
What critics are saying
- Japan FSA working group delays Mythos banking deployments within 3-6 months.
- Voided Forge and Hiive trades trigger Delaware litigation in 6-12 months.
- EU AI Act audits halt Claude Mythos European sales by Q3 2026.
What makes Anthropic unique
- Anthropic pioneers Constitutional AI and RLHF for model alignment.
- Responsible Scaling Policy mandates safety thresholds before deployments.
- Claude Platform on AWS operates independently outside hyperscaler boundaries.
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Benefits
Flexible Work Hours
Paid Vacation
Parental Leave
Hybrid Work Options
Company Equity
Growth & Insights and Company News
6 month growth
↓ -3%1 year growth
↓ -3%2 year growth
↑ 1%Mozilla has discovered 271 security vulnerabilities in Firefox 150 using early access to Anthropic's Mythos Preview AI model. The findings represent a significant increase from the 22 bugs detected by Anthropic's Opus 4.6 model in Firefox 148 last month. Firefox CTO Bobby Holley said Mythos is "every bit as capable" as the world's best security researchers, whilst eliminating the need to "concentrate many months of costly human effort to find a single bug". He believes AI tools like Mythos tilt the cybersecurity balance towards defenders by making vulnerability discovery cheaper. Anthropic released Mythos Preview to a limited group of industry partners earlier this month. Mozilla CTO Raffi Krikorian argues such tools are particularly crucial for open source projects, which often rely on insufficient volunteer maintenance for security.
Anthropic's new AI model Mythos has sparked concern amongst policymakers at International Monetary Fund meetings over its potential to accelerate sophisticated cyberattacks on the global financial system. However, its developers argue the technology could provide banks with their strongest defence yet. What distinguishes Mythos is its ability to chain multiple security weaknesses into coordinated attacks, effectively automating complex cyber intrusions. This capability could significantly expand the pool of potential attackers in the near term. The model's creators emphasise a longer-term benefit: the same technology could enable banks to detect and patch vulnerabilities faster than ever, potentially shifting the balance towards defenders if widely adopted. The dual-use nature of Mythos has created both panic and optimism in boardrooms and governments regarding global financial system security.
Indian fintech companies including One97 Communications, Razorpay Software and Pine Labs are pushing Anthropic for early access to Mythos, the AI model that has raised global concerns about cyberattack risks. The firms want to test Mythos on their own systems to detect vulnerabilities following Anthropic's announcement of a limited rollout. The San Francisco-based AI developer considers the model too dangerous for wider release but major Indian financial technology companies are seeking early access to assess potential security threats to their platforms.
The US government is preparing to provide major federal agencies with access to Anthropic's new AI model, Mythos, according to a memo reviewed by Bloomberg News. Gregory Barbaccia, federal chief information officer at the White House Office of Management and Budget, informed Cabinet department officials on Tuesday that OMB is establishing protections to enable agencies to use the closely guarded AI tool. The move comes amid concerns that the powerful model could significantly increase cybersecurity risks. OMB is working to set up appropriate safeguards before rolling out access to the system across government departments.
Anthropic's new Mythos AI model is causing concern among banks, tech giants and governments over its potential implications for cybersecurity and the internet's future. The model has prompted a scramble amongst major institutions to understand its capabilities and risks. Details about the specific features raising alarms were not disclosed in the source material.