Tools and Automations Lead, App Review

Apple Apple · Big Tech · Cupertino, CA +1 · Software and Services

This role focuses on designing, prototyping, and delivering internal tooling and automation for App Review, increasingly leveraging generative AI and agent-based solutions. The lead will act as a bridge between operational reality and AI/platform engineering capabilities, making critical build-vs-partner decisions and driving adoption of new tools.

What you'd actually do

  1. Partner with App Review specialists, leadership, and policy stakeholders to understand how review actually happens, where it breaks down, and where automation or better interfaces would meaningfully improve quality, consistency, and throughput.
  2. Build prototypes and solutions directly — from a Swift app that integrates with a platform API to scripts that evaluate data or run a process-automation task — to prove value quickly and de-risk the larger investment.
  3. Work closely and credibly with Apple Services Engineering platform teams, AIML platform teams, and other cross-functional partners, defining clear technical requirements that enable them to build stable, reliable, production-grade infrastructure on our behalf.
  4. Make the right build-vs-partner call: own the lightweight, fast-moving, and exploratory work yourself, and route the systems that demand long-term reliability, scale, and operational ownership to the right engineering partners.
  5. Advance our automation and AI agenda — designing and deploying GenAI and agent-based solutions (LLMs, RAG, agents) that augment review, surface risk, and reduce manual effort. Build the prototype yourself; ship it where shipping it yourself is the right call.

Skills

Required

  • Python
  • modern data tooling
  • designing and deploying GenAI/agentic solutions (RAG, LLMs, agents)
  • UX and workflow design
  • cross-functional collaboration
  • prototyping
  • technical requirements definition

Nice to have

  • Swift

What the JD emphasized

  • Critically, you will know what to build yourself and what to hand to our platform and infrastructure partners
  • Just as important is knowing where the line is
  • Make the right build-vs-partner call
  • Make the AI build-vs-partner call deliberately
  • Hands-on experience designing and deploying GenAI/agentic solutions (RAG, LLMs, agents)

Other signals

  • Leveraging generative AI both as a capability we ship and as a tool we build with
  • designing and deploying GenAI and agent-based solutions (LLMs, RAG, agents)
  • Make the AI build-vs-partner call deliberately