Enterprise Account Executive, Industries
About the role
Anthropic's Industries team partners with the world's largest enterprises across retail, manufacturing, automotive, consumer goods, hospitality, and commercial real estate to deploy frontier AI into the core of how they operate. These are complex, multi-division organizations where the first engagement is rarely the full opportunity, and where lasting partnerships are built at the executive level.
Responsibilities
- Contribute to the Industries team GTM strategy, identifying new use cases within your assigned verticals, winning new business, and sharing feedback with cross-functional teams
- Drive strategic expansion within key accounts in established verticals and new logo acquisition within emerging verticals
- Break into new accounts and cross-sell into existing business alongside our team of Account Executives
- Own a revenue target and all aspects of the sales cycle from prospecting to close, including outbounding and engaging Tier 1 accounts
- Lead with conviction by providing clear recommendations based on deep industry expertise rather than presenting a menu of options
- Prioritize organizations that can serve as lighthouse customers and references within their industries
- Become a trusted advisor to customers, understanding their unique needs and crafting tailored AI solutions. Co-innovate with customers and sell on the product roadmap while appropriately setting expectations
- Collaborate extensively with cross-functional partners including product, engineering, legal, marketing, and Applied AI to help bring new solutions to market and provide feedback to shape roadmaps
- Create sales collateral, proposals, and presentations to effectively position Anthropic's AI products. Continuously refine sales tactics and share best practices
What will make you stand out
- Direct experience selling into one or more of our core verticals and fluency in how those businesses operate and measure success
- Experience as an early AE in a vertical or segment, where you helped build the sales motion rather than inherit it
- Background selling developer platforms, cloud infrastructure, or AI/ML tooling into traditional enterprises
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.
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 - $380,000 USD
Deadlines to apply
None. Applications will be reviewed on a rolling basis.
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.
Our research directions
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.
Guidance on Candidates' AI Usage
Learn about our policy for using AI in our application process.
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