Abnormal AI is looking for a Senior Product Manager to own a high-priority initiative within our core Cloud Email Security group — the flagship product area driving Abnormal's growth and market leadership. Our AI-native platform helps customers ranging from SMBs to Fortune 100 enterprises stay safe from complex cyberattacks that cause financial loss and disrupt business operations. In this role, you will have direct interaction with some of the largest enterprise customers in the world, setting strategy, driving execution, and helping Abnormal continue to protect customers from evolving and sophisticated attacks.
What you will do- Own and evolve a 9–12 month roadmap for a strategically critical initiative within Cloud Email Security, prioritizing against customer value, competitive positioning, and revenue impact
- Lead cross-functional execution across Engineering, Design, Data, Sales, and Customer Success — from problem framing and PRDs through launch, instrumentation, and iteration
- Run discovery with Fortune 500 enterprises to translate operational insights into clear problem statements and measurable outcomes; go deep with Engineering on architecture and infrastructure tradeoffs
- Contribute to competitive positioning and GTM strategy, including customer-facing messaging, analyst conversations, and sales enablement
- Define and track KPIs including adoption, competitive win rates, and revenue impact; serve as the domain expert in executive reviews, customer calls, and escalations
- Leverage AI tools (e.g., Claude, v0, analytics platforms) and rapid prototyping to accelerate discovery, research, documentation, and UX exploration
- 6+ years of product management experience in software, with a strong track record of owning complex technical product areas end-to-end in B2B SaaS or similarly technical domains
- Proven experience working on deeply technical products, collaborating closely with engineering on architecture, scalability, or AI/ML-driven features, and reasoning through technical tradeoffs and constraints
- Demonstrated ability to own product strategy, definition, and roadmap for a product line or multiple complex surfaces — including problem framing, opportunity sizing, prioritization, and success metrics
- Strong analytical and problem-solving skills, with comfort using data to inform decisions and refine product direction in ambiguous spaces
- Excellent communication and cross-functional leadership, with the ability to drive alignment across Engineering, Design, GTM, and executives, and represent the product in high-stakes customer-facing scenarios
- High ownership, operational excellence, and attention to detail across documentation, planning, stakeholder management, and launch execution
- Growth mindset with a willingness to learn quickly in a fast-paced, AI-native environment, including integrating new tools and workflows into day-to-day product practice
- Background in observability, infrastructure, platform, or detection products, especially roles that required learning the architecture underneath the product surface
- Experience in enterprise cybersecurity, security operations, or email security
- Prior experience as a software engineer, data scientist, or in another technical role, or equivalent hands-on experience with distributed systems or AI-driven products
- Familiarity with AI-native workflows and rapid prototyping tools (e.g., Claude, ChatGPT, v0, Figma) to speed up discovery, ideation, and validation
- Experience working closely with GTM teams on competitive positioning, customer-facing messaging, and sales enablement
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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.
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
- 7+ years of product management experience in software
- Experience in B2B SaaS or technical domains
- Strong analytical and problem-solving skills
- Excellent communication and cross-functional leadership
- Experience owning product strategy and roadmap
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.
