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Staff Product Analytics Engineer (AI)
200 000 - 260 000$
Описание вакансии
Текст:
TL;DR
Staff Product Analytics Engineer (AI): Own the data infrastructure and pipelines for business critical product and user data with an accent on building best-in-class internal tools enabling others to increasingly self-serve data needs. Focus on taking an AI-first approach to scaling ’s data tooling and use by providing trust and total context.
Location: Open to hiring remote across North America and Europe — we also have offices in NYC, San Francisco, Seattle, London, and Tel Aviv
Salary: $200,000-260,000
Company
is building AI to simulate the world through merging art and science.
What you will do
- Own the data infrastructure and pipelines for business critical product and user data
- Conceptualize and build best-in-class internal tools enabling others to increasingly self-serve data needs
- Take an AI-first approach to scaling ’s data tooling and use
- Work with sales and finance to ensure billing, revenue recognition, margin analysis, and other key financial metrics are accurate
- Work with product and engineering to ensure critical usage data is available and interpreted in useful ways
- Collaborate with trust and safety teams on signals for detecting misuse or abuse and with marketing and studios teams to help measure impact of all marketing initiatives
- Build and maintain our data pipelines and third party tools that others use for dashboarding and analysis
Requirements
- 4+ years of experience working as a data analyst, engineer, scientist or similar, where your primary responsibility involved working heavily with product data
- 4+ years of experience with SQL, ETL, python, and data modeling
- Collaborative mindset and communication skills
- Understanding of best practices for data modeling, manipulation, transformation, and maintaining privacy
Nice to have
- Experience as a founding product data analyst or first hire in a data role
Culture & Benefits
- Committed to creating a space where our employees can bring their full selves to work and have equal opportunity to succeed
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