Tools and Automations Lead, App Review
Cupertino, CA - USA
Job Summary
You will own the design and delivery of internal tooling and automation that supports the end-to-end App Review experience for the specialists who do the work the developers on the other side of it and the policy and operational standards Apple holds. The mandate is broad and so is the toolkit: where a manual workflow should be automated where a decision needs better data in front of it where a policy needs to be applied consistently at scale you will define the solution and often build a working version of as important is knowing where the line is. Durable high-reliability infrastructure is built with our partners in Apple Services Engineering platform teams and the AIML platform organization not around them. You will be the person who can prototype an idea convincingly then translate it into clear well-scoped requirements that enable those teams to build the production systems our operation depends on.
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 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 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 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 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 the AI build-vs-partner call deliberately: know when an off-the-shelf LLM call is enough when a problem needs Apples AIML platform teams behind it and translate cleanly in both directions so each side can do its job a strong sense of UX and workflow design: the tools you create or specify should be intuitive fast and trusted by the people who depend on them adoption not just delivery. Sit with the specialists who use what you ship watch where it falters and iterate. A tool that isnt trusted and used isnt a how success is measured instrument your solutions and iterate based on real usage and designs trade-offs and results clearly to both technical and non-technical audiences including leadership and engineering partners.
7 years of combined experience across software engineering data engineering solutions engineering or technical product ability to take a problem from ambiguous need to working solution including building the prototype yourself not only specifying track record of effective cross-functional collaboration with platform or infrastructure engineering teams including writing the requirements that enable partner teams to proficiency in Python and modern data tooling; ability to build standalone -on experience designing and deploying GenAI/agentic solutions (RAG LLMs agents) and a tinkering mindset that stays current with what is actually shipping not just what was state-of-the-art a year product instincts: an eye for UI/UX workflow design and the human factors that determine whether a tool gets ability to produce clear architectural diagrams and technical documentation for non-technical degree in Computer Science Engineering or a related technical field or equivalent practical experience.
Experience operating at the intersection of policy operations and engineering building systems that apply rules and standards consistently at with App Review trust and safety content moderation or comparable operational review integrating with internal platform and AIML services and a clear understanding of when to prototype versus when to invest in partner-built problem-solving analytical and written/verbal communication -directed and proactive with demonstrated creative and critical thinking; able to manage multiple efforts cross-functional collaboration and influencing skills.
About Company
Ask Siri to name the most successful company in the world and it might respond: Apple. And it's not just out of familial pride. Apple consistently ranks highly in profit, revenue, market capitalization, and consumer cachet. In 2018, the company became the first reach a trillion dollar ... View more