채용

Senior Manager - Search, Evaluation Program Management - Apple Maps
Cupertino, CA
·
On-site
·
Full-time
·
1mo ago
Benefits & Perks
•Team events and activities
•401(k) matching
•Competitive salary and equity package
•Flexible work arrangements
•Parental leave
•Professional development budget
•Equity
•Flexible Hours
•Parental Leave
•Learning
Required Skills
TypeScript
JavaScript
Node.js
About Us
Working at Apple means doing more than you ever thought possible and having more impact than you ever imagined.
Size: 10000+ employees
Industry: Technology, Information Technology, Software, Consumer Goods & Services
Apple Maps is seeking a top-tier leader for our human evaluation team and ensure the quality and relevance of Maps features! We need someone to lead a team who provides data and insights to improve Apple's products and services, to inform strategic directions, and to improve the user experience. The ideal candidate will possess meaningful professional experience in data annotation, evaluation, and analysis. Do your best work at Apple!
Description
You will:
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Collaborate cross-functionally by partnering with analysts, data science, engineering and other teams across Maps and Apple to harness collective expertise and deliver exceptional user experiences.
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Oversee the team's efforts to design guidance to collect, grade, analyze, and interpret large sets of data.
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Lead the design and implementation of quality assurance protocols tailored to training data and model evaluation.
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Develop and implement comprehensive human evaluation strategies and tools.
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Define what high-quality data means across diverse projects and ensure these standards are met.
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Drive the development of manual and automated processes for multiple concurrent projects ensuring high-quality labeled data.
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Drive the execution and delivery of technical projects.
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Design and conduct experiments for evaluating rater quality, inter-rater reliability.
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Dive deep into both qualitative and quantitative data in order to bring forward actionable insights.
Preferred Qualifications
8+ years of leadership and people management experience
Experience with AI/ML/LLM:
Experience using crowd sourced platforms like Figure-Eight and Mechanical Turk
Vendor crowd management a plus
Minimum Qualifications
5+ years of leadership and experience managing a team in a cross-functional environment
Extraordinary leadership, communication, and organizational skills
Meticulous, strong analytical and problem-solving skills
4+ years experience with Search Relevance and Search Quality
Knowledge of data quality concepts, challenges, and best practices
Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant .
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Client-provided location(s): Cupertino, CA
Job ID: apple-200586907-0836_rxr-660
Employment Type: OTHER
Posted: 2026-01-07T19:13:47
Apply on company site
Perks and Benefits
Health and Wellness
Parental Benefits
Work Flexibility
Office Life and Perks
Vacation and Time Off
Financial and Retirement
Professional Development
Diversity and Inclusion
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About Apple

Apple
PublicA technology company that designs, manufactures, and markets consumer electronics, personal computers, and software.
10,001+
Employees
Cupertino
Headquarters
$3.5T
Valuation
Reviews
4.0
10 reviews
Work Life Balance
4.0
Compensation
4.2
Culture
3.8
Career
3.5
Management
3.2
75%
Recommend to a Friend
Pros
Great coworkers and people
Excellent benefits and perks
Fast-paced and engaging work environment
Cons
High expectations and pressure
Management quality varies
Limited career progression opportunities
Salary Ranges
17,968 data points
L2
L3
L4
L5
L6
L2 · Business Analyst L2
0 reports
$114,215
total / year
Base
$45,686
Stock
$57,108
Bonus
$11,422
$79,951
$148,480
Interview Experience
5 interviews
Difficulty
3.4
/ 5
Duration
28-42 weeks
Offer Rate
20%
Experience
Positive 20%
Neutral 40%
Negative 40%
Interview Process
1
Application Review
2
Recruiter Screen
3
Technical Phone Screen
4
Behavioral Interview
5
Onsite/Virtual Interviews
6
Team Matching
7
Offer
Common Questions
Coding/Algorithm
System Design
Behavioral/STAR
Technical Knowledge
Culture Fit
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