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NewsBreak

NewsBreak Venture, AI Growth Intelligence Engineer (New Grad)

Mountain View, California, United StatesFrom $155kentryAdded today

About this role

NewsBreak seeks a junior software engineer to join its Corporate Ventures & AI Operations team, working on backend systems, ML infrastructure, and revenue operations. You'll develop data pipelines, recommendation engines, and monitoring tools that drive user retention and monetization across a platform with 40M+ monthly active users.

What you'll do

  • Build instrumentation and monitoring systems to track performance signals (load times, error rates) across web, app, and live streams
  • Develop backend services and dashboards for engagement metrics like session length, scroll depth, and retention
  • Contribute to recommendation algorithms and data infrastructure (feature pipelines, training datasets) supporting personalization at scale
  • Engineer data pipelines and ETL jobs to process ads, user events, and engagement data using SQL, Python, or PySpark
  • Support commission calculation systems and revenue operations tooling for the ad sales team
  • Build alerting and automated checks for data quality, ads performance anomalies, and system health

What they're looking for

  • Python or PySpark
  • SQL
  • Backend/API development
  • Data pipeline engineering
  • System monitoring and instrumentation
  • Machine learning infrastructure
  • Code testing and documentation
  • Cross-functional collaboration

Benefits

  • Hybrid work arrangement in Mountain View, California
  • Opportunity to work on AI and recommendation systems at scale
  • Great Place to Work® certified company
  • High-growth unicorn environment (reached unicorn status in 2021)
  • Access to innovative content intelligence platform
  • Mentorship from senior engineers

Likely interview questions

  • Walk us through a data pipeline or backend project you've built—what technical challenges did you face and how did you solve them?
  • How would you approach designing a system to monitor user engagement metrics like session length and scroll depth?
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