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Practising for the listing Tech Lead Manager, Growth Data Science. Its requirements are filled in below. When you have an answer you like, paste it with your CV in Career Mirror to see which of the job's skills it shows.

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Requirements found

Marketing (must) Budgeting Sql (must) Python (must) Writing (must) Sales (nice) Training (must) Recruiting

What this posting asks for

Level: Manager — The title says "Manager".

Main responsibilities

  • Act as a strategic thought partner to Growth product and marketing leads, helping shape growth strategy, roadmap priorities, and the major bets the team makes
  • Set the data science agenda for Growth, deciding where the Product Data Science team can have the most impact and what it should deprioritize
  • Manage and develop a small team of Product Data Scientists
  • Frame the most important and ambiguous questions facing Growth, from where the next users and companies will come from to what makes them stay and pay, size …
  • Define how Growth measures success, establishing the core metrics, guardrails, and measurement frameworks that tie short-term wins to long-term value
  • Set the standard for experimentation and causal inference across Growth, including holdouts and quasi-experimental methods where A/B tests aren’t practical, …
  • Guide how Growth measures the return on its programs, including marketing incrementality, LTV, CAC, and payback, and turn the results into budget and channel…
  • Guide the team’s work on targeting and personalization, including how we decide which users get which message, offer, or experience and how we evaluate those…
  • Turn complex analyses into clear narratives and recommendations that drive decisions with senior leadership and cross-functional partners
  • Establish foundational data practices and shape the analytics infrastructure Growth needs to support rapid iteration and decision-making as our products grow

Competencies an interviewer will look for

  • Communication Core
    In the posting: “Communicate clearly in writing and in presentations, including to executive audiences” · “If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings.” · “As such, we greatly value communication skills.”
    Show it by: Adapts the message to the listener; Gives an example of explaining something clearly in writing or speech.
  • Teamwork and collaboration Core
    In the posting: “Turn complex analyses into clear narratives and recommendations that drive decisions with senior leadership and cross-functional partners” · “In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic.” · “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.”
    Show it by: Says what they did inside a team, not only what 'we' did; Shows how a disagreement was handled.
  • Data and analysis Core
    In the posting: “As part of our growing Data Science and Analytics team, you will play an instrumental role in our company’s mission of building safe and beneficial artificia…” · “You bring experience from high-bar teams and are eager to help shape the norms and best practices of a growing data science team as Anthropic continues to sc…” · “You’ll be the senior data science leader embedded in our Growth team and a strategic thought partner to its product and marketing leads.”
    Show it by: Uses a number to describe the situation or the result; Explains what the data showed and what was done with it.
  • Adaptability and learning Core
    In the posting: “Frame the most important and ambiguous questions facing Growth, from where the next users and companies will come from to what makes them stay and pay, size …” · “Have a bias for action and thrive in ambiguous, fast-moving environments where you must create clarity and drive progress” · “We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely…”
    Show it by: Describes learning something new quickly and using it; Shows a change of plan and how they adjusted.
  • Attention to detail and quality Core
    In the posting: “Set the standard for experimentation and causal inference across Growth, including holdouts and quasi-experimental methods where A/B tests aren’t practical, …” · “Your safety matters to us.” · “This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, S…”
    Show it by: Gives an example of an error caught before it caused harm; Names the check or standard they used.
  • Technical skill Core
    In the posting: “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 …” · “Experience with AI/ML products or large language models, including using coding agents in your own analytical workflow”
    Show it by: Names the tools, languages or systems used and how; Explains a technical choice and its trade-off.
  • Leadership and mentoring Core
    In the posting: “As a tech lead manager, you’ll also manage a small team of Product Data Scientists, setting their agenda and raising the bar for how data shapes growth decis…” · “Turn complex analyses into clear narratives and recommendations that drive decisions with senior leadership and cross-functional partners”
    Show it by: Describes setting direction or a standard others followed; Names someone they coached and what changed for them.
  • Planning and organisation Core
    In the posting: “As part of our growing Data Science and Analytics team, you will play an instrumental role in our company’s mission of building safe and beneficial artificia…” · “Act as a strategic thought partner to Growth product and marketing leads, helping shape growth strategy, roadmap priorities, and the major bets the team makes”
    Show it by: Shows how priorities were set when everything was urgent; Mentions deadlines met and how.
  • Stakeholder management Core
    In the posting: “Turn complex analyses into clear narratives and recommendations that drive decisions with senior leadership and cross-functional partners” · “Communicate clearly in writing and in presentations, including to executive audiences”
    Show it by: Shows how they aligned people with different goals; Explains how they handled a 'no' from someone senior.

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Practice questions

  1. Tell me about yourself. Dedicated step-by-step practice.
  2. If an interviewer asks something improper How to respond to questions about age, family, origin or health.
  3. Built from this posting (7):
  4. Tell me about a time you had to explain something complex to someone outside your field. From this posting
  5. Describe a time you worked with another team to deliver something. What was your part? From this posting
  6. Tell me about a time you used data or numbers to make a decision. From this posting
  7. Describe a time your plans changed suddenly. How did you adjust? From this posting
  8. How have you used marketing in your work? Walk me through one real example. From this posting
  9. Tell me about a problem you solved using sql. From this posting
  10. Tell me about a time you helped someone on your team get better at their work. From this posting
  11. This posting reads as Data analysis: its questions come first.
  12. Tell me about an analysis that changed a decision. Data analysis
  13. How do you check that a query or spreadsheet you built gives the right answer? Data analysis
  14. Describe a new tool or technique you learned to finish a piece of work. Data analysis
  15. Describe a time you found that the data you were given was wrong. Data analysis
  16. A manager asks you for 'the numbers' by tomorrow with no further detail. What do you do? Data analysis
  17. What makes a dashboard useful, and how have you built one? Data analysis
  18. Tell me about a time you explained a statistical result to people without a data background. Data analysis
  19. Sales dropped 15% last month. How would you find out why? Data analysis
  20. Tell me about a sale or agreement you are proud of.
  21. Walk me through how you would check whether a report's numbers are right.
  22. Describe a time you handled an upset customer or colleague.
  23. Tell me about a time you had several deadlines at once. How did you decide what to do first?
  24. Give an example of a mistake you caught before it caused a problem.
  25. Tell me about a time you taught someone how to do something.
  26. Describe a time you took the lead without being asked.
  27. Tell me about a time you had to explain something complicated in simple terms.
  28. Describe a process you improved.
  29. Do you have any questions for us?
  30. Why do you want to work here?
  31. Why is there a gap in your employment? Difficult question
  32. Why did you leave your last job? Difficult question
  33. Why are you changing careers? Difficult question
  34. What is your greatest weakness? Difficult question
  35. What are your salary expectations? Difficult question
  36. You seem overqualified for this role. Why do you want it? Difficult question
  37. Improper-question practice: How old are you? / Do you have children? / Where are you from originally?
  38. A customer is angry about a delay you did not cause. What do you do?
  39. How do you keep track of many open customer requests?
  40. Tell me about a time you could not give a customer what they wanted.
  41. You find that the inventory count does not match the system. What do you do?
  42. Tell me about a time a shipment or delivery went wrong.
  43. How do you make sure safety rules are followed on a busy shift?
  44. Two managers ask you to book the same room at the same time. What do you do?
  45. How have you used spreadsheets in your work?
  46. Tell me about a time you had to enter or check a lot of data accurately.
  47. A prospect says your price is too high. How do you respond?
  48. How do you keep your pipeline organised?
  49. Tell me about a technical problem you solved on your own.
  50. You find a bug right before a release. What do you do?