---
title: 'Senior Privacy Counsel at Abnormal'
canonical: 'https://feeny.ai/job/senior-privacy-counsel-abnormal-united-states-7k519nqwy1kd'
type: 'job'
last_seen: '2026-09-11'
---

# Senior Privacy Counsel at Abnormal

- **Company:** Abnormal
- **Location:** United States
- **Compensation:** $200k–$235k
- **Work type:** remote
- **Posted:** 2026-08-13
- **Last confirmed live:** 2026-09-11
- **Apply:** https://abnormal.ai/careers/jobs/7860037003?gh_jid=7860037003

## Job description

## About the Role

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.

## What You Will Do

- 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.

Must Haves

- 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.

## Nice to Have

- 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

## #LI-ME1

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.

Base salary range: $199,800—$235,000 USD

A note on AI in our 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 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. Further, if your application is successful and Abnormal AI makes a conditional offer of employment, we will carry out pre-employment checks which must be successfully completed to progress to a final offer. All processes and pre-employment checks are in line with prevailing legislation and Abnormal AI's policies relevant to our security and privacy standards.

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](https://assets.contentstack.io/v3/assets/blt3a076cfd9753fa1f/blt9cbda641db7c0045/6a1e3d3a66aea075cd33e462/AAP_and_EEO_Statement.pdf). If you would like more information on your EEO rights under the law, please [click here](https://assets.contentstack.io/v3/assets/blt3a076cfd9753fa1f/blt4eb3a265cc7b1ca9/6a1e3d3bfe33e73c16ff026b/EEOC_Know_Your_Rights_Oct_30_2025.pdf).

## About Abnormal

## Company Overview
- **One-liner**: Abnormal Security uses behavioral AI to autonomously detect and stop sophisticated email attacks, account takeovers, and insider threats for enterprises.
- **Entity Type**: Private (Series D)
- **Headquarters**: San Francisco, California, USA
- **Founded**: 2018
- **Founders**: Evan Reiser (CEO) and Sanjay Jeyakumar (CTO)

## Core Business
- **Primary industry**: Cybersecurity (Cloud Email Security, Identity Security, AI Security)
- **Target customers**: B2B, Enterprise (over 25% of the Fortune 500)
- **Mission statement**: "Stop crime with AI and bring cybersecurity from the future to defenders today."

## Products & Services
- **Abnormal Behavioral Security Platform**: An AI-native, cloud-based platform that builds behavioral baselines for every user and entity in an organization to detect anomalies that indicate attacks.
  - **Email Security**: Autonomous detection and remediation of BEC, phishing, and account takeover attacks via API-based, cloud-native architecture. Deploys in 60 seconds with no MX changes.
  - **Identity Security**: Harden identities, detect compromise, and prevent insider threats by analyzing behavioral signals in real-time.
  - **Insider Threat**: Blocks fraudulent actors and malicious insiders by autonomously addressing anomalies.
  - **AI Security (Attune AI)**: Provides visibility and policy enforcement for all AI tools used within an organization, enabling AI governance.

## Market Standing
- **Valuation/Market Cap**: Not publicly disclosed (last reported Series D valuation was $2.6B in 2022)
- **Key Metric**: Over 25% of the Fortune 500 are customers. The company has stopped millions of attacks and saved billions in financial losses.
- **Notable Investors/Partners**: Insight Partners, Greylock Partners, Menlo Ventures, CrowdStrike Falcon Fund (strategic investor)
- **Growth Signals**: The company is AI-native from day one, with revenue growing rapidly. It is expanding its platform from email security into identity, insider threat, and AI governance. Headcount has grown significantly, and the company continues to hire across engineering, GTM, and operations.

## Competitive Advantages
- **Behavioral AI Moat**: Unlike signature-based or rules-based security tools, Abnormal builds a unique behavioral baseline for every organization and user. This allows it to detect novel attacks that no other vendor sees.
- **AI-Native Operations**: The company doesn't just build AI products—it runs its entire business (product, CS, finance, HR) with AI agents, compounding its speed of innovation.
- **Deep Enterprise Trust**: Over 25% of the Fortune 500 give Abnormal the authority to autonomously make security decisions, a level of trust very few vendors achieve.
- **Founding Team Origins**: Founders came from adtech (building anomaly-detection AI at scale) rather than traditional cybersecurity, giving them an outsider's perspective that led to the behavioral AI approach.

## Strategic Focus
- **Platform Expansion**: Moving beyond email security into identity, insider threat, and AI security, building a unified behavioral security platform.
- **AI-First Product Development**: Using AI agents to compress product development cycles from quarters to weeks, rapidly launching new products.
- **Operational Efficiency**: Embedding AI across every internal function to drive automation and efficiency, allowing the company to scale without linear headcount growth.
- **Market Leadership**: Capitalizing on the wave of AI-generated attacks to position behavioral AI as the only viable defense.

## Why Work Here
- **Remote-First Culture**: From day one, Abnormal has been remote-first. Employees have the choice to work from home, from hub offices, or from co-working spaces (WeWork). Async work is the default, with deliberate synchronous overlap time. [abnormal.ai](https://abnormal.ai/careers/culture)
- **High Autonomy, High Accountability**: No micromanagement. Clear expectations. Growth is based on impact, not tenure or title. "You don't wait your turn." [abnormal.ai](https://abnormal.ai/careers/culture)
- **AI-Native Work Environment**: Every employee, regardless of role, gets access to the best AI tools and is expected to use them. The company rebuilds work processes around what AI makes possible—not by bolting AI onto old workflows. [abnormal.ai](https://abnormal.ai/careers/culture)
- **Compressed Growth Timeline**: Because everything moves fast with AI, impact that would take quarters elsewhere happens in weeks. One person can do what used to take a team. Outsized impact is rewarded proportionally. [abnormal.ai](https://abnormal.ai/careers/culture)
- **Transparent and Direct Culture**: "We say what's true, even when it's uncomfortable." Leaders are accessible, teams share learnings openly, and new hires get real ownership immediately. [abnormal.ai](https://abnormal.ai/about)
- **Notable Perks**: Compensation is tied to impact, not role. The company offers flexibility as infrastructure, not a benefit. Employees see direct results from their work in a fast-growing, mission-driven company.

## Sources
1. [Abnormal AI - Official Website](https://abnormal.ai/)
2. [Abnormal AI - About Page](https://abnormal.ai/about)
3. [Abnormal AI - Careers & Culture](https://abnormal.ai/careers/culture)
4. [Abnormal AI - Open Roles](https://abnormal.ai/careers/open-roles)
5. [Abnormal AI - What We Are](https://abnormal.ai/about/what-we-are)
6. [Crunchbase - Abnormal Security](https://www.crunchbase.com/organization/abnormalsecurity)
7. [PitchBook - Abnormal Security](https://pitchbook.com/profiles/abnormal-security-168693-47)

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