🤩 Lead Product Analyst / Analytics Engineer (AI & Experimentation) at ArtWorkout
About the team:
- a mobile app for learning to draw: creativity, learning, and gamification in one product;
- 1M+ iOS MAU and 1.5M+ Android MAU worldwide;
- ~80 million events in ClickHouse per day, 600+ A/B experiments in the product's history.
What you'll be doing:
- Building AI agents and automated workflows that find and validate growth points in conversion, retention, subscriptions, advertising, ARPU, and LTV.
- Establishing a repeatable process: from a data signal to a validated insight, product hypothesis, and experiment.
- Automating key parts of the A/B test lifecycle: setup validation, metric selection, monitoring, guardrails, results analysis, knowledge accumulation.
- Defining and maintaining key product metrics and unit economics.
- Analyzing funnels, cohorts, retention, monetization, and user behavior using SQL and Python.
What we're looking for in a candidate:
- 5+ years in product analytics, analytics engineering, or growth analytics.
- Strong SQL — ClickHouse, BigQuery, or similar analytical databases; strong Python for analysis and automation.
- Understanding of product metrics, funnels, retention, monetization, and unit economics; experience in designing and analyzing A/B experiments.
- Practical experience with AI agents and LLM workflows: tool integration, orchestration, evaluation, guardrails, human review.
- Experience creating reusable analytical tools, not just dashboards and one-off analyses.
- Confident Git/GitHub user: pull requests, code review, tests, documentation.
- Ability to independently validate AI-generated analysis and identify its failure modes.
- English B2+.
Will be a plus:
- B2C mobile, gaming, or EdTech; subscription model and ad monetization.
- GrowthBook or other experimentation platforms; analytical infrastructure, semantic layers, data contracts.
- Bayesian statistics, advanced experimentation methods, LLM evaluations, RAG, knowledge graphs, agent observability.
What we offer:
- Full-time, fully remote — from anywhere in the world.
- A product with millions of users and a mature experimentation culture.
- A role at the intersection of analytics, AI, and product.
📝 To apply, please fill out the form → here
