Product Designer, Growth

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 Growth at Anthropic is about helping people discover what Claude can do and make it part of how they work, from someone's first session to an entire company rolling out Claude. We're a small design team working across all of Anthropic's products, on problems that often don't have established playbooks, because the products and the capabilities behind them change so quickly. We drive growth by making the product itself better, favoring foundational changes and new product experiences over small optimizations. Our focus spans whatever most limits Anthropic's growth, and priorities can shift quickly. As a senior Product Designer on Growth, you'll own how Claude grows with people who use it for their everyday work. You'll dig into why some people make Claude a habit and others don't, find the real bottlenecks, and lead the product changes that move them. You'll set the vision for this area, partner closely with product, engineering, and data science, and raise the quality bar for the designers around you. We're looking for designers who thrive in ambiguity and pair sharp diagnostic judgment with exceptional craft. You form a clear point of view from messy signals, prototype quickly to test it, and drive alignment across teams to ship it. You use tools like Claude Code to explore ideas and push what's possible. Key responsibilities - Own growth for how people use Claude in their everyday work, end to end, as your full-time focus - Diagnose what drives deep, habitual use and what blocks it, combining data, research, and hands-on time in the product - Set an opinionated vision for the area and turn it into a roadmap with your PM, engineering, and data science partners - Redesign core parts of the product to drive growth, from onboarding and first-run experiences to the everyday workflows people rely on most - Shape hypotheses and experiments, and judge results with a nuanced view of how we win, not just the topline metric - Deliver exceptionally crafted interactions and set the quality bar for your area - Drive alignment with partner teams whose work touches your area, connecting individual use to team and company adoption - Mentor other designers, and frame problems clearly enough that others can own them - Prototype and test ideas quickly with Claude Code and other AI tools Minimum qualifications - A portfolio of shipped product design work that shows product vision and a high level of craft - Experience owning growth for a major product area end to end, including diagnosing problems and setting direction - Deep growth design experience in activation, onboarding, retention, engagement, or expansion, on a product at meaningful scale - Hands-on experience designing, launching, and interpreting experiments, and using them to make product decisions - Fluency with product analytics such as funnels, retention, and engagement - Proficiency with design, prototyping, and AI tools, such as Figma and Claude Code, and a habit of learning new tools to push what's possible - Strong collaboration and communication skills, with experience driving alignment across product, engineering, and data science Preferred qualifications - Experience leading growth strategy across multiple teams or product areas - Experience designing enterprise/B2B SaaS, productivity, or collaboration tools - Experience with product-led growth, from a single user to a team to a company-wide rollout - Experience mentoring designers or shaping a design practice - Comfort querying data yourself with SQL or a similar tool - Experience prototyping with front-end code (e.g., HTML/CSS/JS) - Experience defining AI-powered workflows for yourself or your team - A clear point of view on when a product should ask for attention, and when it should stay out of the way - Passion for building safe, beneficial AI that helps people do their best work Representative projects - Diagnose why some people make a product part of their daily work and others drift away, then lead the changes that close the gap - Redesign a core part of the product so people return to it more often and get more value each time - Set the vision for a product's first-run experience and lead it through experiments to a redesigned, permanent flow - Design the path from one person's daily use to their whole team adopting it 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: $305,000—$460,000 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.