Abnormal is where you do the most exciting work of your career. Because here, you are building the future of cybersecurity.
We're hiring a Product Manager 2 to drive an exciting new product line—a critical expansion of our AI-native platform trusted by over 20% of the Fortune 500. Your mission: help enterprises address emerging security challenges that traditional tools can't solve, working at the intersection of cutting-edge technology and real customer pain points.
This role puts you on the frontlines of Protect What's Next. You'll design systems that detect threats others can't see, partner with engineers and designers to ship innovative features at scale, and work with GTM teams to establish new market categories. And you'll do it in a company where AI is the foundation, not an afterthought.
What You'll Do- Drive product definition and strategy: Build 9-month roadmaps for moderately complex product surface areas within this new line, contributing to divisional strategy and GTM tactics
- Pioneer solution development: Identify emerging security challenges, analyze market gaps, and translate cutting-edge research into clear product requirements and outcomes
- Execute with velocity: Drive end-to-end product definition process from problem identification to signed-off PRDs, ensuring high-quality feature delivery for novel use cases
- Leverage AI-native workflows: Use Claude, ChatGPT, v0, and rapid prototyping tools daily to accelerate research, documentation, and concept validation
- Design for innovation: Turn complex technical security concepts into intuitive product experiences for both practitioners and executives
- Lead cross-functional collaboration: Partner effectively with engineering, design, sales, and customer success teams to deliver measurable customer value in an emerging space
- Support market development: Contribute to messaging, create educational content, and participate in customer conversations as a domain expert
- Drive continuous improvement: Measure feature adoption, gather user feedback, and iterate based on data-driven insights in a rapidly evolving landscape
- 4+ years of B2B SaaS product management experience with technical products
- Demonstrated experience driving product definition and roadmap planning for moderately complex product areas
- Strong collaboration skills across engineering, design, and GTM teams
- Proficiency with AI-driven tools (Claude, ChatGPT) for daily productivity and decision-making
- Experience with rapid prototyping tools (v0, Figma) to validate concepts quickly
- Customer-focused mindset with ability to translate feedback into product decisions
- Strong analytical and problem-solving skills with structured approach to ambiguous challenges
- Excellent communication skills and ability to work with diverse stakeholders
- Background in cybersecurity, IT infrastructure, or emerging technology domains
- Experience with enterprise SaaS platforms and complex technical integrations
- Startup experience in high-growth environments building new product categories
- Software engineering background with technical depth
- Experience with platform features used by internal teams and external customers
- SQL or data analysis skills for product insights and optimization
At Abnormal, PMs are trusted to lead in the Age of AI. That means:
- Using AI tools to accelerate discovery, research, and documentation
- Prototyping and experimenting before writing specs
- Taking ownership of outcomes with clear success metrics
- Leading through influence across functions
- Staying close to customers and deeply understanding problems
You'll contribute to building playbooks while executing with excellence. Growth comes from consistent delivery and expanding scope of ownership in this exciting new domain.
Why AbnormalAbnormal protects more than 20% of the Fortune 500 from attacks that traditional tools miss. Our platform is AI-native by design, and our teams are trusted to invent what comes next.
- Protect What's Next: Stop emerging threats before they reach people
- Work with AI at the Core: Build and use AI systems that power our operations
- Lead in the Age of AI: Take ownership early and solve problems others haven't tackled
#LI-PP1
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.
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.
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.
Top Skills
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.
