About the roleThe Growth team helps more people and companies use and pay for Claude. In this role, you'll focus on personalization, building and evaluating the models and experiments that choose the right message, offer, or product experience for each user. Your work will span lifecycle marketing, onboarding, and in-product experiences.
Claude is a collaborator in much of our analysis, reporting, and experimentation, and you'll help us find new ways to use it in this work.
Key responsibilities- Build and ship targeting and personalization models that decide which users get which message, offer, or experience, working closely with growth product managers and engineers
- Design tests to evaluate and improve our personalization strategy, including holdouts, bandits, and off-policy estimates where A/B tests aren't practical
- Design and analyze A/B tests and quasi-experiments across activation, retention, and monetization, and turn the results into actionable recommendations
- Develop a system of metrics and guardrails that connects short-term wins to long-term value
Minimum qualifications- Experience applying data science to growth, lifecycle, or personalization problems
- Experience building and shipping machine learning models that drive user-facing decisions, such as targeting, ranking, recommendation, or personalization
- Experience with experimental design and causal inference, including A/B testing at scale, holdouts, and quasi-experimental methods
- Proficiency in Python and SQL
- Experience communicating analysis in writing and making recommendations that influenced priorities across teams
- Ability to prioritize and make progress when requirements are unclear or changing
- Interest in Anthropic's mission of building safe and beneficial AI
Preferred qualifications- 7+ years of experience in data science
- Experience running contextual bandits, uplift models, or similar decision systems in production
- Experience with lifecycle or CRM personalization (email, push, in-product messaging) and its measurement challenges, such as global holdouts and interference between campaigns
- Experience defining activation metrics and lifecycle measurement for a product-led business
- Experience with experimentation platforms and meta-analysis across experiment portfolios
- Experience working on consumption-based, multi-product businesses serving both consumers and enterprises
- Experience using LLMs or coding agents in your analytical workflow
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:
$285,000-$380,000 USD
LogisticsMinimum 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 [redacted].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.
