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 seeking an experienced Customer Marketing Manager to support how we build and nurture customer relationships—from initial success through long-term advocacy. This isn't a traditional customer marketing role focused solely on case studies. Instead, you'll develop comprehensive programs that guide customers through their entire journey with Claude, creating authentic advocates while building lasting loyalty.
As a key member of the Customer Marketing team, you'll combine storytelling expertise with strategic program development to transform customer successes into market trust and adoption. You'll build the foundation for how organizations understand, implement, and champion beneficial AI systems, while creating communities and experiences that deepen their engagement with Anthropic.
This role provides a unique opportunity to shape not just how we tell customer stories, but how we cultivate and sustain meaningful customer relationships in the rapidly evolving AI space. You'll work closely with customers to understand their journey, create programs that accelerate their path to advocacy, and develop initiatives that keep them engaged as long-term partners in our mission.
Responsibilities:
- Support our customer storytelling program from story identification through creation and distribution
- Create compelling narratives that demonstrate Claude's impact across different industries and use cases
- Develop multi-format customer campaigns that accelerate market adoption
- Build and nurture relationships with customers to foster authentic advocacy
- Partner with Sales, Product, and Communications teams to identify and amplify customer successes
- Maximize story impact through coordinated internal and external amplification strategies
- Guide Sales teams on effectively using customer stories to accelerate deals
- Drive customer engagement through loyalty programs and community initiatives
You may be a good fit if you have:
- 6+ years of experience in customer marketing, ideally b2b SaaS
- Excellent written and verbal storytelling abilities, proven through technical customer stories that drove business results
- Experience building relationships with technical executives and business leaders
- Experience working with customers of all shapes/sizes, but large Enterprises to fast-growth startups
- Track record of creating effective content in multiple formats (text, video, speakers/content for events)
- Expertise in amplifying customer stories across internal and external channels for maximum impact, using them as key growth levers across the business
- Data-driven approach to measuring and improving program impact
- Ability to manage multiple priorities while maintaining high quality standards
- History of successful collaboration across Sales, Product, and Communications teams
- Strategic mindset balanced with strong execution capabilities
Strong candidates may have:
- Experience building and managing customer loyalty or community programs
- Track record of successful customer advisory board (CAB) and event programming
- Background working with enterprise technology companies and their unique needs
The expected salary range for this position is:
Annual Salary:
$190,000—$240,000 USD
Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience.
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.
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.
Top Skills
What We Do
Anthropic is an AI safety and research company that’s working to build reliable, interpretable, and steerable AI systems. Our research interests span multiple areas including natural language, human feedback, scaling laws, reinforcement learning, code generation, and interpretability.
