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AI Feature Store Access Cost Allocation Engineer

Aubrey Okafor

Full-time · Job · Async

About the role

Twelve teams pull from the same feature store, and finance has no way to tell which team's usage is actually driving the compute bill. This role builds the allocation engine that attributes feature store cost back to consuming teams based on query volume and feature complexity, so budget conversations stop being guesswork. You'll own this system end to end, from data collection through the monthly chargeback report.

Responsibilities

  • Build a cost allocation engine for feature store usage
  • Design attribution logic based on query volume and complexity
  • Own the monthly chargeback reporting process

Requirements

  • 5+ years working with feature stores or data platform cost analytics
  • Strong SQL and distributed systems fundamentals
  • Comfortable operating in a fully async environment

Benefits

  • Fully remote, async-friendly
  • Health and dental insurance
  • Equity

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Categories

MLOps & AI Infrastructure data science & analytics

Skills

python sql spark airflow

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Job Type

Full-time

Level

Senior

Language

English

Salary Range

$160k – $200k / year

AI Expertise

MLOps & AI Infrastructure data science & analytics

Skills

python sql spark airflow

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