Customer Marketing Manager, Special Projects

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 Anthropic is looking for a Customer Marketing Manager to make sure our most important messages are backed by customers who can speak to them. This role works across regions and customer segments on special projects tied to the company's top priorities. When we launch a new model, feature, or initiative, you'll find the customers who can speak to it and get them on the record. We're looking for an excellent communicator who can turn customer stories into multiple formats that flex across channels. This often means working under compressed timelines and leading customer storytelling on some of the most important projects at Anthropic. You'll work closely with Product Marketing, Sales, Brand, Comms, Customer Marketing segment leads, and the writers on our team. The right person has done both product marketing and customer marketing, and has a reporter's nose for a good story. Key responsibilities - Own the customer evidence strategy for the company's top priorities, deciding which claims need customer proof, which customers are best placed to back them up, and where we have gaps to close - Bring what customers are telling us back to Product Marketing and Sales, so our messaging reflects what lands with buyers - Stand up new programs as company priorities shift, setting the scope, the customer list, and the plan to ship quickly - Lead the customer plan for major model and product launches, from which customers we engage with to how their voices show up in the announcement - Partner with Brand and Creative on which customer stories anchor our campaigns and how we tell them - Build proof point libraries and enablement around our key messages, so account teams know which story to use and when - Shape the customer narrative our executives use in keynotes, posts, and customer conversations - Prioritize customer asks when several teams want to tap the same customer, and work with Comms, Legal, and customer executives to get high-profile stories approved Minimum qualifications - Can read a messaging doc and quickly spot what customer proof it needs and where the gaps are - Are a strong writer and interviewer who can get a customer to say something specific and true, then turn it into a story people want to read - Have supported product launches and campaigns with customer proof, often on tight timelines - Have built sales enablement that sales teams kept using after launch week - Are comfortable with technical products and can explain/write what a customer built, and why it matters, in plain language - Know how to work across a lot of teams without formal authority, and can say “not yet” when a request doesn't fit the plan - Have good judgment about when a story is ready and when it needs more work - Enjoy moving between very different projects, sometimes in the same week - Already use Claude to help with drafts and interview prep Preferred qualifications - Have 7+ years in B2B marketing, with time in both product marketing and customer marketing - Worked in AI or developer tools - A background in journalism or editorial - A background in Product Marketing or Messaging - Written keynotes or LinkedIn posts for executives - Run message testing or win/loss interviews to learn what buyers respond to - Worked with Comms or analyst relations on announcements that featured customers 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: $255,000—$320,000 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 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. Come work with us! 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.