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iOS Engineer II (Growth & AI Experiences)

Whoop

iOS Engineer II (Growth & AI Experiences)

Whoop

Boston, MA

·

On-site

·

Full-time

·

1mo ago

Benefits & Perks

Learning and development stipend

Flexible PTO policy

Parental leave program

Health, dental, and vision coverage

Top Tier compensation with equity

Required Skills

Python

TensorFlow

Airflow

At WHOOP, we're on a mission to unlock human performance and healthspan. WHOOP empowers members to perform at a higher level through a deeper understanding of their bodies and daily lives.

WHOOP is hiring an iOS Engineer II to join one of our high-impact product teams: AI Experiences or Growth. You’ll work on features that scale our systems and improve reliability, remove friction from user experiences, or help members improve their physical, emotional, and hormonal health through clinical-grade insights. Whether building shared frameworks, iterating on growth experiments, or shipping health-driven features, you'll deliver work that directly impacts our members' lives. You’ll collaborate across functions, write well-architected code, and contribute to a platform that is improving health outcomes and unlocking human potential at scale.

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About Whoop

Whoop

Whoop

Series F+

A SaaS-based platform that enables subscribers to create and share media applications, websites, and text communication solutions.

1-50

Employees

Atlanta

Headquarters

$3.6B

Valuation

Reviews

4.1

9 reviews

Work Life Balance

2.1

Compensation

3.0

Culture

3.2

Career

2.4

Management

2.7

45%

Recommend to a Friend

Pros

Great people and coworkers

Excellent team environment and collaboration

Great product quality

Cons

Poor work-life balance

Limited career growth opportunities

Management and leadership issues

Salary Ranges

29 data points

Junior/L3

Mid/L4

Junior/L3 · Observability Analyst

1 reports

$136,500

total / year

Base

$105,000

Stock

-

Bonus

-

$136,500

$136,500

Interview Experience

11 interviews

Difficulty

2.9

/ 5

Duration

14-28 weeks

Offer Rate

73%

Experience

Positive 73%

Neutral 0%

Negative 27%

Interview Process

1

Application Review

2

Online Assessment

3

Technical Interview

4

Behavioral Interview

5

Final Round/Onsite

6

Offer

Common Questions

Coding/Algorithm

System Design

Behavioral/STAR

Technical Knowledge

Take-Home Project