Growth Account Executive, Startups

Anthropic · Sales

支持签证Anthropic H-1B 获批 76 次 (FY2025)英国签证担保名单$223k–$290k/年New York City, NY; San Francisco, CA发布 2026-01-21
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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 Growth Account Executive, Startups at Anthropic, you'll manage a portfolio of startup customers and help them harness the transformative potential of safe, frontier AI. This role is designed for early-career sales professionals who thrive in fast-paced environments and are excited about building scalable engagement models. You'll leverage Claude and other tools to efficiently serve a large customer base while identifying high-potential accounts for growth.

The ideal candidate will combine strong foundational sales skills with intellectual curiosity about AI and a passion for process improvement. You'll develop playbooks for scaled customer engagement that benefit the entire Growth AE organization, while building the skills to advance into more senior AE roles.

Responsibilities:

Manage a portfolio of ~80 startup accounts, maintaining high retention and identifying expansion opportunities

Build and execute scalable engagement models using Claude and automation to efficiently serve a high-volume customer base

Identify breakout accounts with high growth potential and ensure smooth transitions to expanded coverage when appropriate

Develop and document best practices for scaled customer engagement that can be shared across the Growth AE organization

Conduct streamlined account health checks and identify early warning signs of churn risk

Partner with customers to understand their business models and product,  advising them through their AI transformation, and gathering feedback to inform product development

Collaborate with Applied AI and other cross-functional teams to support customer technical needs

You may be a good fit if you have:

3-5 years of experience in sales, account management, customer success, or related roles

Demonstrated ability to manage multiple priorities and a high volume of customer relationships simultaneously

Strong communication skills with ability to build rapport quickly across various customer personas

Analytical mindset with comfort using data to prioritize accounts and identify trends

Enthusiasm for emerging technologies and genuine interest in AI

A "roll up your sleeves" mentality and comfort operating in ambiguous, fast-changing environments

Strong candidates may have:

Experience with consumption-based or usage-based pricing models

Familiarity with technical products, APIs, or developer-focused solutions

Experience working with startup customers or in a high-growth startup environment

Exposure to AI/ML concepts and applications

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:

$222,800 — $290,000 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 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

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