Abnormal AI is an AI-native cybersecurity company. We use behavioral AI to stop the attacks that get past everything else, and our products depend on processing data responsibly, at scale, across a growing set of global jurisdictions. We are looking for a Senior Privacy Counsel to own significant portions of our global privacy program — the legal judgment, the day-to-day operational execution and oversight, and the AI-enabled tooling that ties the two together.
This is a senior privacy role, reporting to and operating under the direction of the AGC, PPIP. You will advise product and engineering on building privacy into an AI-native platform, support AI governance from the legal and privacy side, provide product-privacy legal counseling alongside the Director, Legal (Product), and partner with the Privacy Manager, who handles much of the operational execution, to run the day-to-day privacy program (DSARs, assessments, ROPA, notices, audits). You will help build and operate the AI automation, working with Legal Ops and other internal teams, that makes the program scale, and serve as a privacy voice with customers via commercial legal.
We want someone with the expertise, drive, and assertiveness to own initiatives and drive them to completion with limited oversight — as comfortable writing a lawful-basis analysis as they are shipping a workflow that automates it.
Why Join Us- Help build and scale the privacy function at a category-defining, AI-native cybersecurity company.
- Build, not just advise, with real license to design AI automation that changes how privacy work gets done.
- Work at the intersection of privacy, AI governance, product counseling, and security, on problems that are genuinely new.
- Competitive salary, benefits, and equity, and a clear path to grow the role toward greater program ownership as the program scales.
- Global privacy program execution. Support the design of, and drive implementation and continuous improvement of Abnormal's global privacy program, partnering with applicable stakeholders on strategy, policies, standards, and controls, across GDPR/UK GDPR, EU AI Act, NIS2, DORA, EU Data Act, US state privacy laws, and other applicable international frameworks. Advise and execute on the international data transfer strategy (SCCs, UK IDTA, EU–US Data Privacy Framework, transfer impact assessments) as data flows and product footprint expand across jurisdictions.
- AI governance execution. Drive the day-to-day execution of the AI governance program from the legal and privacy side, including EU AI Act classification and related obligations, seeing initiatives through to completion in partnership with R&D, Security, and AI governance stakeholders.
- Privacy by Design for AI products and product counseling. Partner with the Privacy Manager and R&D to embed privacy into the design of new AI-driven features, including model data governance, secondary data-use analysis, and the privacy implications of behavioral AI. Set privacy diligence standards for AI/LLM vendors and model providers. Partner with the Director Legal, Product to provide ongoing product and privacy legal counseling to R&D for product and feature development.
- Privacy operations. Partner with the Privacy Manager to help oversee the privacy operations program — DSARs and data-subject rights, Records of Processing Activities and data mapping, impact assessments (DPIA/PIA/TIA/LIA), retention, consent and cookie management, and audit support (SOC 2, ISO 27701/42001). Contribute to privacy governance forums, as appropriate.
- Build and operate AI automation. Use AI to make the privacy program scale. Design, deploy, and improve AI-enabled privacy workflows (e.g., DPIA triage and drafting, subprocessor determination) with Legal Operations and engineering. A build-it role, not just a use-it one — specify, prototype, and iterate, holding tooling to a high accuracy and human-review bar.
- Legal & Regulatory Horizon Scanning. Monitors emerging legal and regulatory developments, including privacy and AI regulation, in current and target expansion markets; flagging jurisdiction-specific requirements to the AGC, PPIP to inform market entry or launch decisions, and translates confirmed guidance into execution support for R&D (product and privacy considerations) and GTM (contracting posture, customer requirements).
- Vendor, subprocessor, and customer contracts (escalation point). Serve as the privacy subject matter escalation point for the Commercial and Procurement teams on vendor, subprocessor, and customer agreements (DPAs, SCCs, subprocessor terms). Partner with the AGC, PPIP to set the privacy positions and playbook the teams work from.
- Incident and breach response. Advise on and help lead the privacy and legal aspects of incident response, including AI incidents, breach assessment, notification decisions, and mitigation, working within the company's procedures and regulatory deadlines.
- Data Protection Officer support & regulatory engagement. Support the DPO function as a day-to-day advisor, conducting first-line assessments, and support delegate-level assessments in line with the company's DPO governance framework. Serve as a privacy contact for supervisory-authority inquiries, customer privacy audits, and security questionnaires. Track developments across the privacy and adjacent-regulatory landscape (e.g., NIS2, DORA, and EU Data Act), and translate regulatory change into concrete program action decisions.
- J.D. from an accredited law school and member in good standing of at least one U.S. state bar.
- CIPP/E, CIPP/US certifications
- 6-8+ years of relevant experience, with strong depth in privacy and data protection law and program execution.
- Deep, current expertise in European privacy and digital regulation — GDPR/UK GDPR and working familiarity with NIS2, DORA, the EU AI Act, and the EU Data Act — and how they interact for an AI company.
- Demonstrated experience operating in or advising technology companies, ideally in cybersecurity, SaaS, or cloud, including AI/ML products.
- Meaningful experience contributing to and helping run a privacy program (beyond pure advisory work) in a fast-moving, global environment.
- Experience providing product legal counseling alongside privacy.
- Pragmatic judgment. Starts from the business objective and finds the compliant path, offering options and conditions rather than a reflexive "no," and earning trust as an enabler, not a gate.
- Strong drafting and judgment on complex privacy agreements (DPAs, SCCs, subprocessor terms), and the ability to set positions, act as an escalation point for the teams who negotiate them, and flag novel issues for escalation.
- Sound judgment applied to significant, novel, and ambiguous issues, with accountability for outcomes and escalating direction calls as appropriate, while developing subject-matter credibility internally.
- The drive and assertiveness to own initiatives and drive them to completion with minimal oversight, and the ability to lead through influence, including to persuade diverse senior stakeholders.
- Excellent communication and presentation skills, with the ability to explain complex privacy issues to business stakeholders.
- Fluency with AI tooling and the ability to build and iterate on automation workflows — you have used AI to do real work and can specify, prototype, and refine it, holding it to a high accuracy and human-review standard.
- Experience supporting a DPO, including familiarity with independence and governance expectations.
- Familiarity with privacy and data protection regimes beyond the EU/US — e.g., LGPD (Brazil), PIPEDA (Canada), APPI (Japan).
- Experience supporting Works Councils and multi-jurisdiction employee/candidate privacy.
- Experience with privacy tooling and with AI/LLM-based workflow automation.
- Familiarity with security and privacy audit frameworks (SOC 2, ISO 27001/27701/42001).
- CIPM, CIPT, AIGP certifications
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Actual compensation will be determined based on several non-discriminatory factors including skills, experience, qualifications, and geographic location.
In addition to base salary, this role may be eligible for bonus or incentive compensation, equity, and a comprehensive benefits package.
AI and our hiring process
Abnormal AI uses AI-assisted tools to help our recruiting team prepare for candidate interviews. These tools analyze resume content and role requirements to suggest interview questions and identify areas for the interviewer to explore. They do not make hiring decisions or screen candidates automatically. Every decision about a candidacy is made by a person.
Abnormal AI is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status or other characteristics protected by law. For our EEO policy statement please click here. If you would like more information on your EEO rights under the law, please click here.
Skills Required
- J.D. from an accredited law school and member in good standing of at least one U.S. state bar
- CIPP/E and CIPP/US certifications
- 6-8+ years of relevant experience in privacy and data protection law and program execution
- Deep, current expertise in GDPR/UK GDPR and working familiarity with NIS2, DORA, EU AI Act, and EU Data Act
- Experience operating in or advising technology companies (ideally cybersecurity, SaaS, cloud) including AI/ML products
- Meaningful, hands-on experience contributing to and helping run a privacy program in a fast-moving, global environment
- Experience providing product legal counseling alongside privacy for R&D and product development
- Strong drafting skills and judgment on complex privacy agreements (DPAs, SCCs, subprocessor terms) and ability to set positions and escalate
- Pragmatic judgment with business-focused, risk-based decision making and ability to lead through influence
- Excellent communication and presentation skills to explain complex privacy issues to business stakeholders
- Fluency with AI tooling and demonstrated ability to build, specify, prototype, and iterate AI-enabled automation workflows with high accuracy and human-review standards
- Experience supporting a DPO, familiarity with independence and governance expectations
- Familiarity with privacy regimes beyond EU/US (e.g., LGPD, PIPEDA, APPI)
- Experience supporting Works Councils and multi-jurisdiction employee/candidate privacy
- Experience with privacy tooling and AI/LLM-based workflow automation
- Familiarity with security and privacy audit frameworks (SOC 2, ISO 27001/27701/42001)
- CIPM, CIPT, or AIGP certifications
Abnormal Security Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Abnormal Security and has not been reviewed or approved by Abnormal Security.
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Fair & Transparent Compensation — Pay is considered aggressively benchmarked to leading tech markets with annual reviews, and feedback suggests engineering and sales roles are compensated competitively with strong upside potential.
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Healthcare Strength — Health coverage is portrayed as robust, including employer-paid premiums for employees in prior postings, One Medical access, and globally designed healthcare and parental leave.
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Leave & Time Off Breadth — Time off provisions include flexible/unlimited PTO, company holidays, and paid parental leave that the company positions as globally available.
Abnormal Security Insights
What We Do
The Abnormal Security platform protects enterprises from targeted email attacks. Abnormal Behavior Technology (ABX) models the identity of both employees and external senders, profiles relationships and analyzes email content to stop attacks that lead to account takeover, financial damage and organizational mistrust. Though one-click, API-based Office 365 and G Suite integration, Abnormal sets up in minutes and does not disrupt email flow. Abnormal Security was founded in 2018 by CEO Evan Reiser, CTO Sanjay Jeyakumar, Head of Machine Learning Jeshua Bratman, and Founding Engineers Abhijit Bagri and Dmitry Chechik. The team previously built behavioral profiling and machine learning technologies at Twitter, Google and Pinterest that are being applied to solve a problem that costs organizations $1 billion per year, according to the FBI. The Abnormal Security platform stops targeted phishing, business email compromise and account takeover attacks that have never been seen before.


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