Назад
3 часа назад

Product Analytics Engineer (AI)

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

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TL;DR

Product Analytics Engineer (AI): Building and owning the data infrastructure and internal tooling for a market-defining AI company with an accent on product data, self-service platforms, and cross-functional collaboration. Focus on scaling data systems, ensuring financial and product metric accuracy, and leveraging AI to provide speed-of-thought insights.

Location: Must be based in the U.S.

Salary: $200,000 – $260,000

Company

Runway is an AI research company building tools to simulate the world by merging art and science.

What you will do

  • Own the data infrastructure and pipelines for business-critical product and user data.
  • Conceptualize and build internal tools that enable teams to self-serve their data needs.
  • Take an AI-first approach to scaling data tooling and ensuring data trust and context.
  • Collaborate with sales and finance to ensure accuracy in billing, revenue, and margin analysis.
  • Work with product and engineering to interpret usage data and support trust and safety initiatives.
  • Maintain data pipelines and third-party integrations for dashboarding and analysis.

Requirements

  • 4+ years of experience as a data analyst, engineer, or scientist with a focus on product data.
  • 4+ years of experience with SQL, ETL, Python, and data modeling.
  • Collaborative mindset with the ability to translate data needs into solutions for cross-functional partners.
  • Strong understanding of best practices for data modeling, transformation, and privacy.
  • Must be based in the U.S.

Nice to have

  • Experience as a founding product data analyst or first hire in a data role.

Culture & Benefits

  • Opportunity to be the first product analytics engineering hire in an early-stage, market-defining company.
  • Commitment to pay equity and competitive compensation packages.
  • Inclusive environment focused on recruiting exceptional talent from diverse backgrounds.
  • Work on cutting-edge AI systems and world models.

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