Data Science Tech Lead Manager, Model Experience

The shape of it

In the posting’s own words

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.

What it asks for · 14

• Have extensive experience in data science, including leading analytics for a product or research area at significant scale
• Have 3+ years managing data science teams, including setting team direction, hiring, and developing senior data scientists
• Have been a trusted partner to senior product, research, and business leaders, with clear examples of changing a roadmap or high-stakes decision
• Bring strong product sense and business judgment, including the ability to frame the right question and take a position with incomplete information
• Have deep expertise in experimental design, causal inference, and statistical modeling at high scale, with enough fluency in Python and SQL to stay hands-on and guide others' technical work
• Communicate clearly in writing and in presentations, including to executive audiences
• Have a bias for action and thrive in ambiguous, fast-moving environments where you must create clarity and drive progress
• Care about the company's mission of building helpful, honest, and harmless AI
• Strong candidates may also have:
• Experience with AI/ML products, large language models, or developer tools in the AI/ML ecosystem
• Experience as a tech lead manager or player-coach, balancing hands-on technical work with people management
• Experience building or scaling a data science team in a fast-growing organization
• Experience working closely with Product or Research teams, especially on LLM or AI products
• Comfort working with unstructured data

What the job covers

• Act as a strategic thought partner to product, engineering, and research leaders, helping shape model roadmap priorities, launch decisions, and the major bets the team makes
• Set the data science agenda for Model Experience, deciding where the team can have the most impact on model development and launch decisions and what it should deprioritize
• Hire, manage, and develop a team of data scientists, coaching them to move from answering questions to shaping decisions
• Frame the most important and ambiguous questions about model quality and user experience, size the opportunities, and make clear recommendations, including when they challenge the current direction
• Define how Model Experience measures success, establishing the core metrics and measurement frameworks across external products and internal testing that align teams and leadership on what matters
• Set the standard for experimentation and causal inference across Model Experience, including where launches lack a clean A/B test, and personally lead the highest-stakes analyses
• Turn complex analyses of model and user behavior into clear narratives and recommendations that drive decisions with senior leadership and cross-functional partners
• Establish foundational data practices and shape the analytics infrastructure Model Experience needs to support rapid iteration and decision-making as our models and products evolve

Tools and skills named

Words the posting leans on

• experience10×
• model10×
• product9×
• data8×
• decisions5×
• data science4×
• model experience4×
• clear3×
• partner3×
• product research3×
• questions3×
• senior3×
• ai/ml2×
• ambiguous2×
• analyses2×
• analytics2×

Counted from the posting after the mission statement and the legal notices are set aside. The ones near the top are the ones a screener is looking for.

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