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Treat copy that describes the job as more important than copy that talks about the company.</p>\n<p>Start with an opening paragraph (no heading): what the role is, who the company is, why it matters. If the ad mentions salary, include it here. One short paragraph about the company is enough — do not reproduce lengthy &quot;About Us&quot; text.</p>\n<p>For the role details, reuse the same section headings from the original ad (e.g. if the ad says &quot;Responsibilities&quot;, use that heading, not &quot;What you&#39;ll do&quot;). Match the tone of the original: if formal, stay formal. If casual, stay casual.</p>\n<p>Rephrase bullet points in your own words while keeping the factual content. 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This is not a scaled marketing role. You will treat each account as its own market, building deeply customized programs that accelerate complex, multi-year enterprise commitments.</p>\n<p>You&#39;ll be embedded in account teams, attending weekly pipeline reviews, contributing to account plans, and serving as the dedicated marketing partner to sales leadership for our biggest and most complex relationships. Your work will span buying committee mapping, executive engagement programs, account-specific content and events, and personalized campaigns designed for complex, multi-stakeholder deals.</p>\n<p>This role requires someone who thrives on depth over breadth—spending significant effort building transformational relationships with strategic accounts. You&#39;ll work alongside C-suite executives and developers alike at category-defining tech companies, positioning Anthropic as a strategic AI transformation partner.</p>\n<p><strong>You may be a good fit if you have:</strong></p>\n<ul>\n<li><strong>7+ years B2B marketing experience</strong> with demonstrable focus on strategic accounts or enterprise customers</li>\n</ul>\n<ul>\n<li><strong>Proven track record building world-class 1:1 ABM programs</strong> at companies known for strategic account marketing excellence</li>\n</ul>\n<ul>\n<li><strong>Experience orchestrating complex, multi-threaded account strategies</strong> across C-suite, technical buyers, and procurement in accounts with $10M+ deal potential</li>\n</ul>\n<ul>\n<li><strong>Track record of running successful executive engagement programs</strong> that have driven meaningful pipeline acceleration—CAB programs, executive briefing centers, CXO dinners, or bespoke account experiences</li>\n</ul>\n<ul>\n<li><strong>Experience with land-and-expand motions</strong> in strategic accounts—has grown accounts from initial deal to multi-product, enterprise-wide adoption</li>\n</ul>\n<ul>\n<li><strong>Experience at leading tech companies selling to technical audiences</strong>—ideally both fast-paced scale-ups AND larger tech companies that understand enterprise selling</li>\n</ul>\n<ul>\n<li><strong>Thrive in depth over breadth</strong>—energized by building transformational relationships with a focused set of accounts</li>\n</ul>\n<p><strong>Ideal candidates may also have:</strong></p>\n<ul>\n<li>Experience with executive engagement programs—Customer Advisory Boards, executive briefing centers, C-suite dinners</li>\n</ul>\n<ul>\n<li>Deep expertise in buying committee mapping and multi-threaded engagement strategies</li>\n</ul>\n<ul>\n<li>Experience marketing AI/ML or developer infrastructure products</li>\n</ul>\n<ul>\n<li>Expertise in ABM technology building sophisticated targeting, orchestration and measurement infrastructure</li>\n</ul>\n<p><strong>Role-specific policy:</strong></p>\n<p>For this role, we expect all staff to be able to work from our San Francisco office at least 2 days a week, though we encourage you to apply even if you might need some flexibility for an interim period of time for relocation.</p>\n<p><strong>Deadline to apply:</strong></p>\n<p>None.</p>\n<p><strong>Annual compensation range:</strong></p>\n<p>For sales roles, the range provided is the role’s On Target Earnings (&quot;OTE&quot;) range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.</p>\n<p>Annual Salary:</p>\n<p>$320,000 - $320,000USD</p>\n<p><strong>Logistics</strong></p>\n<p><strong>Education requirements:</strong></p>\n<p>We require at least a Bachelor&#39;s degree in a related field or equivalent experience.</p>\n<p><strong>Location-based hybrid policy:</strong></p>\n<p>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.</p>\n<p><strong>Visa sponsorship:</strong></p>\n<p>We do sponsor visas! However, we aren&#39;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.</p>\n<p><strong>We encourage you to apply even if you do not believe you meet every single qualification.</strong></p>\n<p>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&#39;re interested in this work.</p>\n<p><strong>Your safety matters to us.</strong></p>\n<p>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&#39;re ever unsure about a communication, don&#39;t click any links—visit anthropic.com/careers directly for confirmed position openings.</p>\n<p><strong>How we&#39;re different</strong></p>\n<p>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. 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