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AI Feature Flag Rollout Analyst

Nathan Yamamoto

Full-time · Job · New_York

About the role

Have you ever watched a feature rollout go sideways because nobody caught the early warning signs in time? Our deployment platform already handles container orchestration and shadow testing for dozens of enterprise clients rolling out AI models. What we're missing is dedicated analysis of feature flag rollout data — which cohorts are seeing errors, which regions are lagging, which rollouts should pause automatically. This role sits at the intersection of deployment infrastructure and data analysis, and the person who takes it will directly shape how safely our clients ship model changes.

Responsibilities

  • Analyze feature flag rollout data to catch early warning signs
  • Build automated pause triggers for rollouts showing elevated error rates
  • Work with Kubernetes-based deployment infrastructure and telemetry
  • Report rollout health trends to enterprise client success teams
  • Maintain dashboards tracking rollout safety metrics

Requirements

  • 4+ years of experience with deployment analytics or observability
  • Strong statistics background for anomaly detection in rollout data
  • Experience with Kubernetes and containerized deployments
  • Comfortable working with AWS infrastructure
  • Ability to communicate findings to both engineers and client stakeholders

Benefits

  • Fully remote position
  • Competitive salary plus equity
  • Health, dental, and vision insurance
  • Annual infrastructure and observability conference budget
  • Flexible PTO policy

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Job Type

Full-time

Level

Senior

Language

English

Salary Range

$160k – $200k / year

AI Expertise

MLOps & AI Infrastructure

Skills

python kubernetes docker statistics aws

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