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Software Engineering Manager - Analytics Platform

Apple

Software Engineering Manager - Analytics Platform

Apple

Cupertino, CA

·

On-site

·

Full-time

·

1mo ago

Compensation

$198,300 - $342,800

Benefits & Perks

Professional development budget

Competitive salary and equity package

Comprehensive health, dental, and vision insurance

Parental leave

Learning

Equity

Healthcare

Parental Leave

Required Skills

Node.js

Python

JavaScript

Great insights require a robust platform that enables easy and fast access to and analysis of large amounts of data. The Core Telemetry Platform team is responsible for providing state-of-the-art platforms and tools to support the complete lifecycle of data, from creation to analytics and insight discovery. A key component of this is our Analytics Platform team, which focuses on developing client-facing analytics tools & technologies. This team is seeking a visionary leader to spearhead the advancement of this portfolio. With a passion for software engineering and big data technologies, this leader will inspire a team of motivated and resourceful engineers to do the best work of their lives.

In this role, you will provide both technical and career growth guidance to the team members and define the technical vision for the team. You will also work with many cross-functional teams and lead the planning, execution, and success of technical projects.

In this role, you will provide both technical and career growth guidance to the team members, and define the technical vision for the team. You will also work with many cross functional teams and lead the planning, execution and success of the technical projects.

Description

As the manager for the Analytics Platform team, you will enable the continued innovation and progress within the platform through research and development. You will manage the plans for the execution, testing, and roll-out of the solutions. A strong technical foundation is needed to provide guidance in the design and development of large-scale analytics tools for rapid data analysis. You will have the opportunity to work on challenging engineering problems across a broad range of Apple products. Responsibilities will also include managing, mentoring, and growing the team of software engineers. The team will depend on your ability to create and foster a healthy and collaborative culture, where individuals will be encouraged to take ownership of their projects and drive them to success.","responsibilities":"Manage, mentor, and grow the team of software engineers.

Create and foster a healthy and collaborative culture, where individuals will be encouraged to take ownership of their projects and drive them to success.

Enable the continued innovation and progress within the platform through research and development.

Manage the plans for the execution, testing, and roll-out of the solutions.

Provide guidance in design and development of large-scale analytics tools for rapid data analysis.

Preferred Qualifications

5+ years of experience leading a team of software engineers.

Minimum Qualifications

5+ years of experience in developing production software (C, C++, Python, or Java)

5+ years of experience working with distributed systems (e.g., Hadoop, Spark, Kafka)

Excellent spoken and written communication skills

Strong analytical thinking to solve challenging problems

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 .

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 $198,300 and $342,800, 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.

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About Apple

Apple

Apple

Public

A 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