Product Manager, Monetization

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.

As a Product Manager for Monetization, you’ll drive revenue growth across our product suite spanning Claude.ai, Claude Code, Claude Cowork, and Claude Platform. You’ll work closely with other growth teams that are focused on driving growth for specific audiences. You’ll also partner with a cross-functional team of engineers, designers, marketers, and data scientists to develop and execute strategies that accelerate our growth while maintaining our commitment to safety and beneficial AI.

• →Develop and execute a product strategy focused on increasing revenue growth across our suite of products
• →Drive monetization efforts spanning the likes of pricing & packaging, free-to-paid conversion, and consumption-based billing
• →Analyze product metrics and user feedback to identify monetization opportunities and optimize performance
• →Collaborate with engineering, design, and marketing teams to deliver high-impact growth initiatives
• →Conduct user research to understand customer needs and pain points
• →Define and track key performance indicators (KPIs) for growth initiatives
• →Balance rapid iteration with our commitment to AI safety and ethics

• 6+ years of product management experience, majority in growth focused roles
• Experience working on growth for mass-scale subscription businesses
• Direct experience owning monetization – pricing, packaging, paid conversion, or upgrade funnels
• Strong analytical skills, and experience with A/B testing and funnel optimization
• Excellent communication and stakeholder management skills
• Ability to thrive in a fast-paced, ambiguous environment
• Passion for AI technology and its potential impact on society
• Technical background or ability to work effectively with engineering teams
• Founder experience is a plus

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.

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.

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