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AI Security Analyst - Data Protection & SaaS Controls

Role overview

Qualifications

  • 3–6+ years of experience in cybersecurity (DLP, SaaS, or cloud security)
  • Hands-on experience implementing DLP controls across endpoints, SaaS, or network layers
  • Experience securing SaaS platforms and managing identity/access risks (SSO, OAuth, APIs)
  • Strong understanding of data classification and data flow analysis

Responsibilities

  • Own and implement data protection controls for AI platforms and SaaS applications
  • Design and enforce DLP policies across AI prompts, outputs, file uploads, and APIs
  • Identify and mitigate AI-specific risks including prompt injection, data exfiltration, and shadow AI usage
  • Build and operationalize guardrails such as data masking, prompt filtering, and response inspection

About the company

PURE Insurance logo

PURE Insurance

Insurance

PURE is a specialty property and casualty insurer dedicated to helping a membership of responsible people protect high value homes, jewelry, artwork and other fine assets. We opened for business more than 15 years ago with the goal of offering something different in the insurance space: a company focused on promoting transparency, alignment of interests and doing what’s right. Our focus helps to keep premiums fair and service astonishingly good. After growing at least 15% year over year since inception, we are the most awarded insurer in our category, offering coverage in all 50 states. Today, our membership is made up of more than 100,000 financially successful individuals and families and continues to grow sustainably. #LoveYourInsurance #JoinTheClub

Company details

Company typeScaleup
IndustryInsurance
Company size501 - 1000

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Job description

About the role:

We are seeking an AI Security Analyst responsible for securing enterprise AI platforms and SaaS applications, with a strong focus on preventing data leakage and enforcing security guardrails. This role owns the implementation, operation, and effectiveness of controls governing how AI tools interact with sensitive data across the organization.


The ideal candidate brings hands-on experience in DLP, SaaS security, and cloud environments, and can translate AI-related risks into practical, enforceable security controls.

What you'll do:

• Own and implement data protection controls for AI platforms and SaaS applications

• Design and enforce DLP policies across AI prompts, outputs, file uploads, and APIs
• Identify and mitigate AI-specific risks including prompt injection, data exfiltration, and shadow AI usage
• Build and operationalize guardrails such as data masking, prompt filtering, and response inspection
• Analyze and map data flows across AI tools to identify control points and enforce protections
• Secure integrations between AI tools and enterprise systems (APIs, plugins, third-party apps)
• Monitor AI usage and integrate signals into SIEM, DLP, and CASB platforms
• Investigate and respond to AI-related security incidents and data leakage events
• Partner with engineering to embed security controls into AI pipelines and workflows
• Support AI governance by enforcing policies and enabling secure AI adoption

What we're looking for:

• 3–6+ years of experience in cybersecurity (DLP, SaaS, or cloud security)
• Hands-on experience implementing DLP controls across endpoints, SaaS, or network layers
• Experience securing SaaS platforms and managing identity/access risks (SSO, OAuth, APIs)
• Strong understanding of data classification and data flow analysis
• Familiarity with AI/LLM tools and associated security risks
• Experience with security tools such as SIEM, CASB, DLP, or API security platforms
• Security certification (or willingness to obtain within 6 months)

Preferred Qualifications:

• Experience building AI-specific security controls (prompt filtering, output inspection)
• Familiarity with AI security frameworks (NIST AI RMF, OWASP LLM Top 10)
• Experience integrating security controls into engineering workflows
• Scripting or automation skills (Python, APIs)

What Success Looks Like:

• Strong control coverage across enterprise AI tools
• Measurable reduction in data leakage incidents via AI platforms
• Effective monitoring and response to AI-related threats
• Scalable and repeatable AI security guardrails implemented

Operational Expectations:

• Participate in a structured on-call rotation
• Provide after-hours and weekend support for security incidents
• Respond to AI-related alerts and data leakage events
• Collaborate with cross-functional teams during incident response

What We Do

We're a member-owned property and casualty insurer designed exclusively for financially successful families and driven by a purpose of doing what is right for our members.  Our reciprocal model focuses on service and doing what is right for the membership: we provide exceptional service, hospitality and care, we partner with our members to help prevent losses and we create smart insurance solutions at fair prices.

 

We aim for our members to love their insurance. It is our mission is to create a membership experience so compelling that ​our members never want to leave.

 

Who We Are

We want to be transparent about what we expect from each other.  From PURE, you can expect:

Opportunities to stretch and grow: your professional and personal development matters to us. We’re committed to providing experiences through on-the-job learning and professional development that increase your impact and rewards.

Clarity and kindness: you can rely on us to be open, honest and supportive, offering clarity on what success looks like.

Support in good times and bad: we believe in showing up for each other consistently, not only when it’s easy. You can expect a thoughtful partner, even when we disagree.

A community that cares: we are committed to sustaining a community in which each person feels cared for as an individual. We lift each other up, celebrate wins together and support one another through challenges in work and life.

 

Who You Are

All of the strongest relationships are a partnership- a two way street. So here’s what we ask of you:

  • Aim to bring your best every day: you’re here because you want to be part of a team that makes a real impact and aims high.

  • Be a student and a teacher: share your knowledge and talents and be willing to listen and learn from those around you.

  • Get comfortable being uncomfortable: we face tough moments and obstacles with a “courage over comfort” approach and a positive, solutions-oriented mindset.

  • Be a culture builder:  building a positive culture is everyone's responsibility, based on care, respect and openness to diverse perspectives.

The base salary for this role can range from $45,000 to $100,000 based on a full-time work schedule. An individual’s ultimate compensation will vary depending on job-related skills and experience, geographic location, alignment with market data, and equity among other team members with comparable experience

To ensure a successful onboarding experience, all new hires must work onsite at one of our offices during their first week of employment. Candidates should apply only if they are able to meet this requirement.

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MR

Marcus Rivera

Chief Revenue Officer

m.rivera@company.com
linkedin.com/in/marcusrivera
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