AI Risk & Compliance Analyst
Whoop is hiring an AI Risk & Compliance Analyst in Boston, United States. It pays $100k-$140k a year and Level rates it ; you can apply on Whoop.
Level's read on this job
- Level rates this role Works on AI ●●●○: the daily work is on AI products, without building the model.
- The posting mentions Iso 42001, Nist AI Rmf and Eu AI Act among its tools and skills.
- Level classes it as a mid-level role.
- Whoop has 125 other open roles on Level.
AI in this role
Lead day-to-day governance, risk management, and compliance initiatives specifically tailored for AI and ML systems.
At WHOOP, we're on a mission to unlock and inspire performance for life.
WHOOP is seeking a Governance, Risk, and Compliance Analyst II, to lead the day-to-day operation and support the ongoing risk management program at GRC in a fast-paced, high-growth environment. This role is responsible for operations of GRC initiatives - including but not limited to structured cybersecurity and AI risk assessments, exceptions management,
SDLC reviews and security compliance process ownership. The role will partner closely with Legal, Security, Product, and other teams to advance compliance objectives, reduce enterprise risk, and strengthen operational resilience.
The ideal candidate combines strong analytical thinking, critical risk mind-set, familiarity with AI governance and has the ability to communicate complex risk scenarios clearly to both technical and non-technical stakeholders.
RESPONSIBILITIES:
Lead governance, risk assessment, and compliance activities specific to AI/ML systems,
LLM integrations, AI agents, and retrieval-augmented workflowsPartner with the Senior Security Engineer, AI/ML to integrate risk assessment findings into
GRC frameworks and translate technical risk into governance requirementsDevelop, maintain, and refine AI risk and compliance controls aligned with relevant
frameworks, including ISO/IEC 42001, NIST Cybersecurity Framework, NIST AI Risk
Management Framework, EU AI Act, GDPR, and other applicable standardExecute risk assessments for new AI vendors, LLM platforms, AI APIs, and enterprise AI
tools, including third-party risk scoring, control mapping, and remediation trackingManage the vendor risk assessment lifecycle for AI/ML related suppliers, ensuring
documented controls, evidence collection, and follow-up on remediation itemsSupport audit activities, capturing evidence and coordinating cross-functional
stakeholders for internal and external compliance reviews involving AI systemsDevelop and maintain AI-specific GRC policies, standards, and procedures that map to AI
risk domains, explainability requirements, and compliance obligationsFacilitate AI risk and compliance reporting to leadership, including risk dashboards, trend
analysis, control effectiveness measurements, and key metricsMonitor emerging AI governance requirements, guidance, and best practices, translating
them into GRC program updates and compliance recommendationsSupport security incident documentation and post-incident analysis for AI system events,
coordinating with Legal and Security teams to ensure appropriate governance response
QUALIFICATIONS:
6+ years of experience in Governance, Risk & Compliance, including risk assessment,
policy development, audit coordination, and third-party risk managementDemonstrated experience performing governance or risk assessments for AI/ML systems,
including LLM integrations, model pipelines, AI agents, or data-driven algorithmic systemsExperience translating AI-specific risks (i.e., data poisoning, prompt injection, model
misuse, data leakage, explainability gaps) into documented control requirements and
governance standardsHands-on experience conducting third-party risk assessments for AI vendors, LLM
platforms, AI APIs, or machine learning service providersExperience mapping AI-related risks and controls to frameworks such as ISO/IEC 42001,
NIST CSF, NIST AI RMF, ISO/IEC 42001, GDPR, PCI DSS, or similar standardsStrong understanding of data governance concepts relevant to AI systems, including
training data lineage, data retention, model output handling, and human oversight
requirementsExperience supporting regulatory readiness or compliance efforts related to AI systems
Proven ability to collaborate with engineering and security teams to validate control
implementation and remediationBachelor’s degree in Information Security, Computer Science, Business Risk, Compliance,
or a related field
This role is based in the WHOOP office located in Boston, MA. The successful candidate must be prepared to relocate if necessary to work out of the Boston, MA office.
Interested in the role, but don’t meet every qualification? We encourage you to still apply! At WHOOP, we believe there is much more to a candidate than what is written on paper, and we value character as much as experience. As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply.
WHOOP is an Equal Opportunity Employer and participates in E-verify to determine employment eligibility
The WHOOP compensation philosophy is designed to attract, motivate, and retain exceptional talent by offering competitive base salaries, meaningful equity, and consistent pay practices that reflect our mission and core values.
At WHOOP, we view total compensation as the combination of base salary, equity, and benefits, with equity serving as a key differentiator that aligns our employees with the long-term success of the company and allows every member of our corporate team to own part of WHOOP and share in the company’s long-term growth and success.
The U.S. base salary range for this full-time position is $100,000 - $140,000. Salary ranges are determined by role, level, and location. Within each range, individual pay is based on factors such as job-related skills, experience, performance, and relevant education or training.
In addition to the base salary, the successful candidate will also receive benefits and a generous equity package.
These ranges may be modified in the future to reflect evolving market conditions and organizational needs. While most offers will typically fall toward the starting point of the range, total compensation will depend on the candidate’s specific qualifications, expertise, and alignment with the role’s requirements.
How we rate this
AI Risk & Compliance Analyst at Whoop rates 65 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.
Works on AI. The daily work is on AI products, without building the model.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Questions you could be asked
- How have you integrated a large language model into a production application?
- How do you decide when an AI agent can act on its own versus asking for approval first?
- Tell me about a project where ai governance was part of your work. What did you do?
- Tell me about a project where risk management was part of your work. What did you do?
- Tell me about a project where compliance was part of your work. What did you do?
Adapt your resume
- List these exact terms on your resume: LLM Integration, AI agents, AI Governance, Risk Management, and Compliance. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.
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