
Best known for its use by athletes and is often used to track overall health and detect illness.
AI Risk & Compliance Analyst
必备技能
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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关于Whoop

Whoop
Series F+A SaaS-based platform that enables subscribers to create and share media applications, websites, and text communication solutions.
1-50
员工数
Atlanta
总部位置
$3.6B
企业估值
评价
10条评价
3.5
10条评价
工作生活平衡
2.8
薪酬
2.5
企业文化
4.1
职业发展
3.2
管理层
2.7
65%
推荐率
优点
Supportive team and management
Collaborative and dynamic work environment
Good learning and training opportunities
缺点
Fast-paced and stressful environment
Poor work-life balance
Management and communication issues
薪资范围
27个数据点
Mid/L4
Mid/L4 · Quality Systems & Regulatory Affairs Specialist
2份报告
$120,750
年薪总额
基本工资
$105,000
股票
-
奖金
-
$115,000
$126,500
面试评价
11条评价
难度
2.9
/ 5
时长
14-28周
录用率
73%
体验
正面 73%
中性 0%
负面 27%
面试流程
1
Application Review
2
Online Assessment
3
Technical Interview
4
Behavioral Interview
5
Final Round/Onsite
6
Offer
常见问题
Coding/Algorithm
System Design
Behavioral/STAR
Technical Knowledge
Take-Home Project
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