Full-Time
Senior Product Manager
AI
Posted on 10/31/2025
Abnormal Security
1,001-5,000 employees
AI-driven email threat detection and prevention
Compensation Overview
$168.3k - $198k/yr
Remote in USA
Remote
 Product (2) |
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- 5-7+ 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
- 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
- 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
Abnormal Security provides AI-driven email security for large enterprises to prevent phishing, malware, and business email compromise. Its platform analyzes emails using machine learning to detect suspicious patterns and behaviors in real time, stopping threats before they reach users. The product integrates with existing email systems via an API, allowing quick deployment with minimal disruption. The company differentiates itself by focusing on sophisticated, modern threats that bypass traditional defenses, backed by a leadership team with deep AI, ML, and enterprise security experience, and by offering a subscription model that supports continuous protection and updates. The goal is to help organizations securely communicate by continuously detecting and blocking email-based attacks and staying ahead of attackers through ongoing research and development and growth.
Company Size
1,001-5,000
Company Stage
Series D
Total Funding
$534M
Headquarters
San Francisco, California
Founded
2018
Simplify's Take
What believers are saying
- Secured $250M Series D at $5.1B valuation from Wellington Management in 2024.
- Appointed executives from MGM, Palo Alto, Check Point amid 97% threat surge.
- Protects over 25% of Fortune 500 with FedRAMP pursuit and global expansion.
What critics are saying
- Microsoft 365 Defender integrates native behavioral AI, commoditizing Abnormal by November 2025.
- Proofpoint erodes market share with superior phishing prevention in 12-24 months.
- Google Workspace's free Gemini BEC detection diverts mid-market in 6-12 months.
What makes Abnormal Security unique
- Abnormal deploys via three-click API integration with Microsoft 365 and Google Workspace.
- Behavioral AI ingests 10x more signals than legacy SEGs for anomaly detection.
- Platform stops BEC, account takeovers, and AI-generated impersonations in real time.
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Benefits
Competitive pay and equity
One of the most proven machine learning teams in Silicon Valley
Best-in-class customer traction and growth
Team-wide commitment to excellence, velocity, and customer-focus
Strong growth opportunities and high ownership expectations
Full medical, dental, and vision health insurance benefits
Daily catered lunches and snacks
Generous PTO
Growth & Insights and Company News
6 month growth
↑ 0%1 year growth
↑ 2%2 year growth
↑ 1%Abnormal AI has launched Attune 1.0, a behavioural foundation model for cybersecurity trained on over one billion derived behavioural signals. The model now powers 85% of detections across the Abnormal Behavior Platform. Attune 1.0 uses a unified multimodal architecture to understand normal organisational communication patterns and detect AI-driven attacks. The system identifies approximately 150,000 more attack campaigns weekly than earlier systems and delivers 50% higher precision. It recently identified and blocked a novel Microsoft Teams OAuth phishing campaign two months before public documentation. The company also released Detection 360 Insights for visibility into AI determinations and Custom AI Models in early access. New features for AI Phishing Coach include Phishing Risk Scoring and BEC and VEC Simulations, both now generally available.
One week in San Francisco: where to find Abnormal AI at RSAC 2026. Abnormal AI heads to RSA Conference 2026 to showcase the Abnormal Behavior Platform. Join Abnormal Security Corp. for AI-driven security insights, BEC defense, and exclusive RSAC events. March 10, 2026 The countdown to RSA Conference 2026 is on, and Abnormal AI is showing up in a big way. Trusted by more than 3,000 organizations worldwide - including over 25% of the Fortune 500 - Abnormal Security Corp. is bringing a unified presence to San Francisco to showcase the future of the Abnormal Behavior Platform. From the Abnormal AI Hub and executive panels to elite activations, curated networking, and its exclusive customer appreciation party, AI After Dark, this week is about connecting security leaders around what comes next in AI-driven security. Whether you're looking to eliminate sophisticated BEC attacks or explore how AI agents are reshaping modern defense, here's your ultimate guide to finding Abnormal at RSAC.
Financial services institutions have long relied on machine learning for risk management, but the threat landscape has grown exponentially in the age of generative artificial intelligence (AI), according to executives from Capital One, Visa and Alloy. Fraudsters now have access to AI tools, including synthetic identity generation and real-time phishing attacks, they said. But AI is also arming companies to supercharge their defensive capabilities, since trust and security are the foundation of financial transactions. “Trust is the very foundation of commerce,” said Rajat Taneja, president of technology at Visa. “When two unknown parties are transacting, they have to trust that the transaction will occur correctly, the money will be transferred properly, any dispute will be managed, and there’s someone handling fraud and scams.”
Abnormal Security has been recognized as a Leader in the inaugural Gartner Magic Quadrant for Email Security Platforms.
Patlytics announced significant growth, securing new funding led by Myriad Venture Partners, following a $4.5M seed round in April. The company achieved a 20x increase in ARR and an 18x expansion in its customer base, with a 300% monthly growth rate. Patlytics' GenAI-powered platform enhances patent intelligence, streamlining workflows and improving IP protections. The patent industry is projected to reach $31.3 billion by 2032, driven by the need for efficient patent management solutions.