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

We're looking for a Technical Product Marketing Lead who can build experiences that tell the story of AI's transformative potential. You'll create narratives, demos, and interactive experiences across our entire suite of products—the Claude app, Claude Code, and our API platform—that help people truly understand what's possible with AI. This role combines engineering expertise with strategic storytelling: you'll build interactive experiences, craft visual narratives around key AI themes, and create tools that bring abstract concepts to life. Whether it's showcasing how AI enhances creativity, accelerates research, or transforms coding workflows, you'll engineer the assets that help our team and the broader market grasp AI's real-world impact. If you're an engineer who thinks in narratives and loves building things that educate and inspire, this role is for you.

Responsibilities:

Engineer interactive experiences and visual stories that illustrate AI's impact across different themes—from enhancing human creativity to automating complex workflows—for our largest events and customer moments.
Build proof-of-concepts and working examples that demonstrate how Claude transforms real work across industries
Create technical content ecosystems—from interactive tutorials to visual explainers—that guide users through their AI journey
Develop frameworks and tools that help our sales team tell compelling stories tailored to different audiences
Partner with product and engineering to translate our roadmap into narratives that excite customers about what's possible
Build data visualizations and interactive dashboards that communicate AI's value in business terms
Craft end-to-end experiences that take prospects from curiosity to conviction through hands-on exploration
Ship creative technical projects that showcase emerging AI capabilities and inspire new use cases

You may be a good fit if you:

Have 10+ years building things with code and see engineering as a medium for storytelling
Are fluent in modern web tech (Python, JavaScript/TypeScript, React) and can build full-stack experiences
Think beyond individual features to understand how pieces fit together into compelling narratives
Get excited about making complex technology accessible through thoughtful technical experiences, and have experience presenting to everyone from startup founders to Fortune 500 executives
Can seamlessly collaborate with everyone from engineers to designers to sales teams
Love shipping projects that educate, inspire, and drive real business outcomes

Strong candidates may have:

Built technical experiences that told a bigger story—whether for marketing, education, or sales
Experience in solutions engineering, developer relations, or technical marketing roles
Worked with AI/ML APIs and understand how to showcase their capabilities effectively
Created technical content that's driven measurable impact on adoption or understanding
Skills with data visualization and interactive web technologies that enhance storytelling
A portfolio of projects that demonstrate both technical depth and narrative thinking

Role-specific policy: For this role, we expect all staff to be able to work from our {#location}San Francisco{/location} at least 2 days a week. We encourage you to apply even if you might need some flexibility for an interim period of time for relocation.

Deadline to apply: None. Applications will be reviewed on a rolling basis.

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:

$320,000—$400,000 USD

Logistics

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.

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