Full-Time
Staff Software Engineer
MPP Growth
Abnormal Security
1,001-5,000 employees
AI-driven email threat detection and prevention
No salary listed
Bengaluru, Karnataka, India
Hybrid
 Software Engineering (1) |
|---|
- 8+ years of experience designing and building web and distributed applications, deployed across multiple data centres.
- 2+ years at staff level, with a track record of working across teams, mentoring senior engineers, and delivering high-impact outcomes.
- Demonstrated experience leading multi-quarter, customer-facing projects from inception through to stable, high-quality operation.
- Strong experience collaborating across multiple cross-functional teams (Engineering, Product, Design, and beyond).
- Deep, well-formed opinions on technical excellence — spanning design, development, code quality, testing, debugging, and production operations.
- BS degree in Computer Science, Applied Sciences, Information Systems, or a related engineering field.
- Lead and mentor a team of 15+ engineers, raising the technical bar while helping individuals grow into the best versions of their engineering careers.
- Drive the evolution of the Abnormal customer journey as we expand into international markets, enter the public sector, and serve new market segments.
- Own and develop complex, customer-facing features that simplify the Abnormal experience for the world's largest organisations.
- Define and uphold SLAs for our systems while maintaining a high standard for operational excellence — reliability is not optional at our scale.
- Partner with internal stakeholders and external customers to gather feedback and iterate quickly, turning insight into shipped product.
- Shape a team culture that engineers are proud to be part of, and a hiring process that leaves candidates with a positive impression of Abnormal — regardless of outcome.
- This is a leadership role. You will contribute both code and guidance — you are accountable for delivering great solutions and for improving the team around you.
- Experience in cybersecurity or security-adjacent products.
- Background at enterprise-level SaaS companies.
- Familiarity with our stack: Python / Go, TypeScript, React / Redux, AWS, Kubernetes.
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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Your Connections
People at Abnormal Security who can refer or advise you
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.