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4 часа назад

Staff Product Analytics Engineer (AI)

200 000 - 260 000$
Формат работы
remote (Global)
Тип работы
fulltime
Грейд
middle/senior
Английский
b2
Страна
US, Europe
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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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 hirify.global’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

hirify.global 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 hirify.global’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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