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Services UI Localization - AI Workflow Specialist

Apple
Posted 13 hours ago, valid for 19 days
Location

Cupertino, CA, US

Salary

Competitive

Contract type

Full Time

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Sonic Summary

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  • Apple's Services UI Localization team is seeking a candidate with expertise in AI and automation to enhance project management and delivery processes.
  • The role requires a minimum of 5 years of experience in building AI-powered workflows and automation solutions, along with proficiency in Python and integration of Large Language Models.
  • Candidates should have strong communication skills to translate technical concepts for non-technical partners and must demonstrate exceptional presentation abilities.
  • This position is in-person and may require working nights and weekends, with up to 6% travel annually.
  • The salary for this role is competitive and commensurate with experience in the technology or business-related fields.
The people at Apple don't just create products — they build things that change how industries work. The Services UI Localization team is part of that. We deliver localization across App Store, Apple Music, TV App, Fitness+, Apple News, iCloud, Maps, Enterprise, Identity Management Services, and many more products — 50+ languages, 150+ markets, every Apple platform — and we're actively transforming how that work gets done through AI. This role sits inside the UI Localization PM team, where PMs are already experimenting and building automation solutions. We're looking for someone with deeper expertise who can raise the collective bar — serving as the team's center of gravity on AI and agentic workflows, helping teammates go further, and bringing rigor to how we build and prioritize together. This is a collaborative role as much as a technical one.

Description


Our UI Loc PMs are embedded in Apple's feature development lifecycle — attending kickoffs for new services and features, scoping localization work, managing tasks through translation and review, and producing planning and reporting deliverables at scale. You'll work directly with them to identify where automation can eliminate or reduce manual work, build those solutions, and bring them into how the team actually operates. You'll also proactively spot opportunities the team hasn't seen yet and push thinking forward. Your work will be shaped in close partnership with our Strategy, AI/ML, and tooling organizations — what you build connects to a broader platform rather than working in silos. Your primary output is the agents, automations, and process improvements that make project management and delivery faster, smarter, and more scalable.

Minimum Qualifications


BS/MS in a technology or business-related field, or equivalent practical experience Hands-on experience building AI-powered workflows and automation solutions in production or near-production environments Proficiency in Python and experience with integrating frontier Large Language Models (e.g.: Gemini, Claude, GPT) leveraging modern AI/ML frameworks (e.g.: LangChain, LangGraph) Experience designing and deploying AI services through APIs, automation platforms, or orchestration frameworks Strong ability to break down complex, ambiguous operational problems into structured steps an AI agent can execute Clear communicator — able to translate technical concepts for non-technical partners and operational problems into engineering requirements Exceptional presentation and storytelling skills — able to build compelling executive narratives and demo AI solutions with clarity and confidence Experience driving cross-functional work through influence without formal authority Direct experience handling sensitive and confidential information with integrity and discretion Ability to be onsite; this role is an in-person, onsite position Available to work nights and weekends as needed Up to 6% travel is required annually, both domestic and international

Preferred Qualifications


Experience in software localization, internationalization, or globalization operations Prompt engineering experience, including structured prompting and iterative refinement Knowledge of integration patterns using OpenAPI and MCP to connect AI agents with business systems and API) Gateways. Experience building internal tools in collaboration with engineering or platform teams Ability to define and track KPIs demonstrating operational ROI from automation initiatives Experience evaluating reliability, observability, and governance considerations for autonomous AI workflows Familiarity with web development in Python: Django, Flask Familiarity with AI/ML: TensorFlow, PyTorch, Hugging Face



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