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Success Analytics Engineer

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Success Analytics Engineer in USA

  • CodeRabbit
  • Full time
  • Email
  • Boston, MA

Responsibilities

  • Build scheduled pipelines from billing, product telemetry, support, and CRM systems into the company data warehouse.
  • Develop and operate nightly account-scoring jobs that classify accounts and detect meaningful changes.
  • Build a real-time service that triages account-risk events and routes them to automated or human follow-up.
  • Create campaign audience synchronizations with experiment controls, along with digests, reporting views, and internal-console data layers.
  • Design, deploy, and operate AI workloads for language classification, extraction, and drafting with cost and reliability controls.
  • Ship the initial pipeline and scoring job, establish the real-time triage service with alerting and runbooks, and support the first automated campaign cycle.

Requirements

  • 4+ years of experience in data, analytics, or backend engineering, including production data warehouse experience with SQL, dbt or similar, and Python.
  • Experience building and operating scheduled pipelines and webhook-driven services in production.
  • Experience taking products from development through production deployment and operating them for real users.
  • Experience building or heavily operating customer-success tooling, CRM, marketing automation, or support systems.
  • Deep experience designing AI workflows, deploying and operating different models in production, and selecting appropriate models for each task.
  • Ability to ship weekly, sequence work against a written roadmap, and validate and reconcile data proactively.

CodeRabbit

CodeRabbit is an innovative, AI-driven platform that transforms the way code reviews are done. It delivers context-aware, human-like reviews, improving code quality, reducing the time and effort required for thorough manual code reviews, and enabling teams to ship software faster. Trusted by over...

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