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AI Risk & Compliance Analyst

Whoop

AI Risk & Compliance Analyst

Whoop

Boston, MA

·

On-site

·

Full-time

·

6d ago

Required Skills

Machine Learning

At WHOOP, we’re on a mission to unlock human performance and healthspan. Our wearable technology provides personalized insights that help millions of members better understand their bodies and make smarter decisions about training, recovery, and lifestyle.
As AI systems play a growing role across our platform, effective governance, risk management, and compliance for AI and associated technologies are critical for safeguarding member data, ensuring regulatory alignment, and enabling secure innovation.
We are seeking an AI Risk & Compliance Analyst to partner with Security, Product, Engineering, Legal, and Privacy teams to govern risk and compliance related to AI systems and machine learning integrations. This role will support AI-related risk evaluation, vendor assessments, policy governance, audit coordination, and compliance with emerging AI regulatory frameworks.
This is a senior individual contributor role within GRC with broad influence across risk domains and collaboration with technical and business stakeholders.

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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

Mid/L4

Mid/L4 · Quality Systems & Regulatory Affairs Specialist

2 reports

$120,750

total / year

Base

$105,000

Stock

-

Bonus

-

$115,000

$126,500

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