
Best known for its use by athletes and is often used to track overall health and detect illness.
AI Risk & Compliance Analyst
必須スキル
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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Whoopについて

Whoop
Series F+A SaaS-based platform that enables subscribers to create and share media applications, websites, and text communication solutions.
1-50
従業員数
Atlanta
本社所在地
$3.6B
企業価値
レビュー
10件のレビュー
3.5
10件のレビュー
ワークライフバランス
2.8
報酬
2.5
企業文化
4.1
キャリア
3.2
経営陣
2.7
65%
知人への推奨率
良い点
Supportive team and management
Collaborative and dynamic work environment
Good learning and training opportunities
改善点
Fast-paced and stressful environment
Poor work-life balance
Management and communication issues
給与レンジ
27件のデータ
Mid/L4
Mid/L4 · Quality Systems & Regulatory Affairs Specialist
2件のレポート
$120,750
年収総額
基本給
$105,000
ストック
-
ボーナス
-
$115,000
$126,500
面接レビュー
レビュー11件
難易度
2.9
/ 5
期間
14-28週間
内定率
73%
体験
ポジティブ 73%
普通 0%
ネガティブ 27%
面接プロセス
1
Application Review
2
Online Assessment
3
Technical Interview
4
Behavioral Interview
5
Final Round/Onsite
6
Offer
よくある質問
Coding/Algorithm
System Design
Behavioral/STAR
Technical Knowledge
Take-Home Project
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