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Whoop
Whoop

Best known for its use by athletes and is often used to track overall health and detect illness.

AI Risk & Compliance Analyst

직무법무
경력미들급
위치Boston, Morocco, United States
근무오피스 출근
고용정규직
게시1개월 전
지원하기

필수 스킬

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.

전체 조회수

0

전체 지원 클릭

0

전체 Mock Apply

0

전체 스크랩

0

Whoop 소개

Whoop

Whoop

Series F+

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

1-50

직원 수

Atlanta

본사 위치

$3.6B

기업 가치

리뷰

10개 리뷰

3.5

10개 리뷰

워라밸

2.8

보상

2.5

문화

4.1

커리어

3.2

경영진

2.7

65%

지인 추천률

장점

Supportive team and management

Collaborative and dynamic work environment

Good learning and training opportunities

단점

Fast-paced and stressful environment

Poor work-life balance

Management and communication issues

연봉 정보

27개 데이터

Mid/L4

Mid/L4 · Quality Systems & Regulatory Affairs Specialist

2개 리포트

$120,750

총 연봉

기본급

$105,000

주식

-

보너스

-

$115,000

$126,500

면접 후기

후기 11개

난이도

2.9

/ 5

소요 기간

14-28주

합격률

73%

경험

긍정 73%

보통 0%

부정 27%

면접 과정

1

Application Review

2

Online Assessment

3

Technical Interview

4

Behavioral Interview

5

Final Round/Onsite

6

Offer

자주 나오는 질문

Coding/Algorithm

System Design

Behavioral/STAR

Technical Knowledge

Take-Home Project