Services UI Localization - AI Workflow Specialist
Apple · San Jose, US
Job description
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.
","responsibilities":"
Build and Deploy - Design and build AI agents, automated workflows, and integrations that reduce manual work for Localization PMs - covering status tracking, intake coordination, data processing, project scaffolding, handoff automation, and more
Develop workflow orchestration systems with task routing, contextual decision-making, escalation handling, and automated reporting
Establish robust evaluation frameworks to continuously monitor AI model performance, analyzing metrics and user feedback to identify areas for improvement, reduce bias, and ensure high-quality outputs
Apply GenAI techniques including RAG, prompt engineering, and tool-use agents; evaluate and integrate LLMs suited to localization and PM workflows
Write clean, documented, maintainable code; build for adoption, reliability, and scale
Test against real operational conditions; measure impact and iterate
Prioritize and Govern - Maintain a living portfolio of automation and process improvement opportunities - owning intake, prioritization, and sequencing
Define success metrics before work begins; track and report impact after deployment; use data to guide what gets built next
Establish lightweight governance to prevent duplication, surface blockers early, and ensure AI solutions operate within established security, confidentiality, and quality frameworks
Partner, Advise, and Integrate - Work closely with Localization PMs to understand workflows, pain points, and priorities; translate those into concrete automation opportunities
Actively support teammates who are building their own solutions - advising on methodology, tooling choices, and quality of execution; connecting efforts so the team builds cohesively
Support PMs in adopting new tools into their day-to-day work
Collaborate with Strategy, AI/ML, and engineering teams to align with broader platform standards and shared infrastructure
Represent the team in cross-functional conversations with AI leads and partners as needed - bringing strong executive presence, sharp storytelling, and the ability to demo and narrate the team’s work in ways that build trust and visibility at every level
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
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
Pay & Benefits
At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $172,100 and $258,600, and your base pay will depend on your skills, qualifications, experience, and location.
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
ML/AI Work links you to the employer's original posting — always verify the details there before applying.