Growth Account Executive
Anthropic
Growth Account Executive
Anthropic
Builds Claude AI models with a focus on safety
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.
Anthropic's EMEA Startups team works with the companies building AI-native products on Claude, from Seed through Series B and beyond. The Growth Account Executive owns a portfolio of startups that are already building on Claude and is responsible for growing that relationship: deepening Claude's role in the customer's product, structuring the commercial agreements that support their scale, and defending the account as the competitive landscape shifts.
This is a consultative role. Native AI companies move fast, change direction often, and make decisions on technical merit. Earning a seat at the table means building real relationships with founders and technical leaders, understanding their product and roadmap as well as they do, and helping them build on the frontier — bringing them the latest models and capabilities early, showing them what's possible, and turning that into adoption. Commercial outcomes follow from that trust.
You work closely with our Applied AI (AAI) team, who bring deep technical partnership to our highest-potential accounts, but you are expected to understand what each customer is building and identify the next use case yourself. Helping customers build on the frontier is part of this job, not something you hand off.
Own a portfolio of high-potential AI-native startups across EMEA, with full accountability for revenue growth and retention
Build long-term, trusted relationships with founders, CTOs and technical leads, acting as their advisor on how to build with Claude
Help customers build on the frontier: bring new model releases and capabilities to them early, work through where they apply, and drive adoption into the core of the product
Develop use cases: understand each customer's product and roadmap, identify where Claude can go deeper, and make it happen
Structure, size and time usage-based commitments, including multi-surface agreements across the Claude API, Claude Code and Claude for Work
Navigate competitive pressure, including aggressive discounting, with a clear point of view on value rather than price
Partner with the Applied AI team on technical strategy for your accounts and coordinate their involvement where it creates the most leverage
Build and maintain relationships across the EMEA VC and accelerator ecosystem to source and qualify pipeline
Bring structured feedback from your portfolio to Product and Go-to-Market leadership
5+ years of quota-carrying experience in consumption or usage-based sales at a cloud provider, infrastructure, data platform or developer tools company
A track record of expanding existing accounts: you have carried a growth or expansion number and understand how commits, credits and usage curves work
A consultative selling style, with evidence that customers treat you as an advisor rather than a vendor
Experience selling to early- and growth-stage startups and comfort with the pace and informality of founder-led companies
Enough technical depth to hold a credible conversation with a CTO about APIs, model selection and AI product architecture, and to recognise where a new capability fits
Existing relationships in the European startup, VC or accelerator ecosystem
Fluency in English; additional European languages are a plus
Time inside a startup, not just selling to them
Hands-on experience building with LLMs, even on side projects
A history of describing wins by what the customer built rather than the size of the deal
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.
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.
For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
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.
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.
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.
Annual Salary: 155000 - 205000 EUR
Anthropic builds the Claude family of AI models and sells them to businesses, software developers, and consumers, with research on making AI safe and understandable at the center of its work. In 2024 it introduced the Model Context Protocol, an open standard for connecting AI assistants to outside apps and data that OpenAI and Google adopted the next year. People use the Claude app to write and analyze files, programmers hand coding tasks to Claude Code, and companies build Claude into their own products through its API. Anthropic earns money from subscriptions, business plans, and usage-based API fees. Siblings Dario and Daniela Amodei founded Anthropic in 2021 with other former OpenAI employees, and it is based in San Francisco.
Explore more opportunities at Anthropic