At Abnormal AI, our mission is to stop cyber attacks—and that mission demands teams that are not only high-performing but also adaptable, connected, and empowered in a fully distributed, high-trust environment.
As a key member of the People Business Partner team, you'll drive both the strategic vision and execution of programs that scale our organization, elevate leadership, and reinforce a culture that enables people to do the best work of their lives. What makes this role unique is our commitment to leveraging AI and technology to make our people systems smarter, faster, and more human.
You’ll work across functions to design and execute people strategies that are optimized for a remote-first, cybersecurity-first organization—balancing high growth with intentionality, empathy, and operational excellence.
What You’ll Do- Partner closely with People Business Partner leadership and business leaders to scale teams, elevate talent, and drive high-performing, values-aligned culture across a distributed global workforce.
- Use AI-driven people analytics and diagnostics to identify organizational opportunities early—and drive interventions that shape structure, leadership, and talent outcomes.
- Coach leaders to navigate organizational complexity, scale high-trust teams, and apply remote-first leadership practices that foster psychological safety and clarity.
- Build leadership capability through enablement programs that combine AI-driven learning, peer development, and just-in-time coaching systems.
- Collaborate across People COEs (Talent, DEI, Ops, Enablement, Total Rewards) to design holistic employee experiences—from onboarding to development to retention.
- Enhance and protect Abnormal’s unique culture by embedding scalable rituals, values-based recognition, and remote collaboration practices.
- Contribute to the evolution of People team programs using emerging tech—including generative AI, nudges, and workflow automation—to scale quality and speed across the employee lifecycle.
- 7+ years of progressive People Team experience with a focus on scaling organizations, developing leaders, and navigating high-growth change.
- Proven success in fast-paced, remote or hybrid tech environments, ideally in cybersecurity or enterprise software.
- Deep experience with organizational design, talent management, leadership coaching, and cultural transformation.
- Strong fluency in data-informed people strategies, with experience using dashboards, engagement platforms, or predictive people analytics tools.
- Experience partnering with global leaders and familiarity with international people practices, compliance, and remote leadership dynamics.
- Track record of coaching leaders through ambiguity and shifting business priorities—balancing candor, empathy, and speed.
- Strong program management skills—able to prioritize, execute, and scale people initiatives that have business impact.
- Clear, concise communication skills with the ability to influence cross-functionally and build trust at all levels.
- Experience integrating AI tools into People workflows (e.g., talent reviews, coaching enablement, onboarding, internal mobility).
- Exposure to designing remote-first onboarding and development journeys that embed company values and culture from day one.
- Background in supporting technical, product, or GTM organizations during periods of rapid scale.
#LI-LG1
At Abnormal AI, certain roles are eligible for a bonus, restricted stock units (RSUs), and benefits. Individual compensation packages are based on factors unique to each candidate, including their skills, experience, qualifications and other job-related reasons. We know that benefits are also an important piece of your total compensation package. Learn more about our Compensation and Equity Philosophy on our Benefits & Perks page.
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.
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.
-
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.
-
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.
-
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
Similar Jobs
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.









