Abnormal

Lead regional field and partner marketing strategies to drive pipeline growth and revenue through integrated marketing programs and collaboration with sales teams. | At least 7 years B2B marketing experience with proven field and channel marketing success, proficiency in Salesforce, Marketo, marketing analytics, and strong strategic and communication skills. | About the Role Abnormal AI is seeking a strategic and experienced Senior Revenue Marketing Manager to lead regional marketing initiatives that drive pipeline growth across our Enterprise and Strategic business in the TOLA region. This role owns the end-to-end planning, execution, and performance of integrated marketing programs in close partnership with sales and channel teams. You will lead field and partner marketing strategy for your assigned region, creating high-impact campaigns, tailoring messaging for local relevance, and reporting on results tied to bookings and qualified pipeline. This is a highly visible role that requires marketing leadership, strong cross-functional collaboration, and a deep understanding of B2B sales motions. You thrive in fast-paced, high-growth environments and have a passion for translating strategy into execution. What You Will Do Lead regional field and partner marketing strategy to support pipeline and revenue goals through campaigns, events, ABM programs, and digital amplification Own end-to-end execution of region-specific initiatives—from idea through reporting—with accountability for budget, timeline, and impact Collaborate closely with AEs, CAMs, SDRs, and partner managers to drive aligned execution, participation, and adoption of marketing programs Build and maintain a quarterly pipeline generation plan, forecast impact, and adjust tactics based on results and market feedback Customize corporate messaging and content to suit regional buyer personas and go-to-market strategies Report on performance using Salesforce, Marketo, and Sigma dashboards; deliver insights to sales and marketing leadership to optimize ROI Mentor junior marketing team members or contribute to cross-regional initiatives that raise the bar for marketing excellence Must Have 7+ years of B2B marketing experience, including field and channel marketing, with a strong track record of pipeline contribution Proven ability to independently plan, lead, and measure marketing programs tied to regional sales goals Deep experience collaborating with sales, partners, and cross-functional stakeholders to influence outcomes Strong strategic thinking, with hands-on ability to execute campaigns and adapt in real time Excellent written and verbal communication skills with the ability to tailor messaging to different audiences Proficiency with Salesforce, Marketo, and marketing analytics tools Willingness to travel 20–25% as needed Nice to Have Cybersecurity or SaaS industry experience Familiarity with account-based marketing (ABM) strategies Experience managing partner co-marketing initiatives or working within an ecosystem of distributors and system integrators Bachelor’s degree in Marketing, Business, Communications, or a related field #LI-ML2 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. Base salary range: $133,900—$192,500 USD A note on AI in our process: Abnormal AI uses AI-assisted tools to help our recruiting team prepare for candidate interviews. These tools analyze resume content and role requirements to suggest interview questions and areas for the interviewer to explore.They do not make hiring decisions or screen candidates automatically. Every decision about a candidacy is made by a person. Further, if your application is successful and Abnormal AI makes a conditional offer of employment, we will carry out pre-employment checks which must be successfully completed to progress to a final offer. All processes and pre-employment checks are in line with prevailing legislation and Abnormal AI's policies relevant to our security and privacy standards. 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.

Build identity verification and fraud detection systems analyzing real-time data to prevent malicious actors. | At least 2 years experience in software development, productionizing large-scale data systems, bachelor's degree, and strong debugging skills. | About the Role As organizations face increasingly sophisticated social engineering and insider threats, the very foundation of trust—the employee identity—is under attack. Abnormal’s Identity Security team is building a groundbreaking product to detect and prevent fraudulent employee identities, specifically targeting high-stakes threats like infiltrators seeking to funnel funds through deceptive employment. We use advanced behavioral intelligence to scrutinize candidate details—from resumes and application metadata like IP addresses, email addresses, and phone numbers—to identify suspicious patterns and prevent malicious actors from entering the workforce. We are extending Abnormal’s leadership in AI-native security to protect the integrity of the modern enterprise at the point of hire. What you will do Build identity verification and fraud detection systems to scrutinize candidate data during the application process. Develop sophisticated correlation engines that match candidate details (IPs, phone numbers, email history, resume metadata) against known indicators of fraudulent or state-sponsored activity. Create high-availability pipelines that ingest and analyze signals from application tracking systems (ATS), identity providers, and external risk intelligence. Ship automated guardrails that flag high-risk candidates in real-time, enabling security teams to act before an infiltrator is onboarded. Drive 0→1 iteration: prototype quickly, test fraud detection assumptions, learn from emerging threat patterns, and scale simple, effective solutions. Collaborate across security, platform, and data teams; write and review technical designs; and participate in core SDLC rituals. Must Haves 2+ years building software applications. Experience productionizing large-scale, data-intensive systems. High velocity and creativity in solving technical challenges related to fraud detection and pattern matching. Experience & desire to adopt & improve AI-native development workflows. Strong debugging skills with logs, metrics, and behavioral signals. Ability to translate complex security and business requirements into high-quality software. Ability to independently solve complex problems and work cross-functionally. BS in CS/SE/IS or a related field. Nice to Have Experience with Go and Python. Experience in fraud detection, identity verification, or anti-money laundering (AML) systems. Background in cybersecurity, specifically focused on insider threats or nation-state actor TTPs (Tactics, Techniques, and Procedures). Experience with big data, statistics, and ML for identity/behavioral risk modeling and anomaly detection. #LI-NT1 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. Base salary range: $149,200—$214,500 USD A note on AI in our process: Abnormal AI uses AI-assisted tools to help our recruiting team prepare for candidate interviews. These tools analyze resume content and role requirements to suggest interview questions and areas for the interviewer to explore.They do not make hiring decisions or screen candidates automatically. Every decision about a candidacy is made by a person. Further, if your application is successful and Abnormal AI makes a conditional offer of employment, we will carry out pre-employment checks which must be successfully completed to progress to a final offer. All processes and pre-employment checks are in line with prevailing legislation and Abnormal AI's policies relevant to our security and privacy standards. 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.

Lead security architecture and threat modeling for AWS cloud environments and mentor teams on security standards. | Proven cloud-native security engineering experience with AWS and proficiency in Python or Go. | About the Role Abnormal AI is looking for a Senior Cyber Security Engineer to help build the next generation of security capabilities at scale. This is a senior IC-level role that blends deep security expertise with the judgment to direct AI tools effectively — you'll increasingly rely on AI to scaffold Terraform modules, prototype detection logic, and draft integrations, while you own the architecture decisions, validate what ships, and catch the failure modes AI won't flag on its own (overprivileged roles, missed edge cases, subtle logic gaps). As a technical lead, you will own the architecture and correctness of systems that enhance both preventative guardrails and detective capabilities across our primarily AWS-based cloud environment, partnering closely with both platform engineering and product teams on security architecture reviews. You'll raise the AI leverage of the engineers around you — not by teaching scripting basics, but by turning your review judgment into reusable standards the team can build on directly. You'll act as a technical liaison across teams and contribute directly to keeping our platforms and customers secure. This is a role for engineers who are intellectually curious and motivated to bridge security principles, engineering execution, and AI-accelerated delivery. Who you are An intellectually curious, solution-focused engineer with a security mindset who thrives in fast-paced environments A technical leader who can architect scalable security solutions while maintaining engineering velocity — increasingly by directing AI to do the first draft and applying judgment to the result Someone who thinks like an attacker but builds like a defender, and who treats AI-generated infrastructure and detection logic with the same scrutiny as a junior engineer's first PR Someone with high agency who proactively spots what in their own workflow (and the team's) AI can absorb, and actually builds the automation to make that real — not someone waiting to be told A collaborative engineer who can translate security requirements into actionable engineering tasks A mentor who scales their judgment across the team — reviewing AI-generated code and infra for security gaps, and encoding what they learn into reusable playbooks and standards rather than repeating the same feedback one engineer at a time What you will do Lead threat modeling and security design discussions with both platform and product teams, translating risks into engineering actions and using AI to rapidly stress-test designs against attack scenarios before committing engineering time to a direction. Partner with product engineering to review the security architecture of new product features — assessing designs for data exposure, access control, and abuse-case risk before they ship — using AI to speed up first-pass analysis so your review time goes toward the highest-risk decisions. Collaborate with Platform, Infra, and DevOps teams to build scalable preventative controls in AWS via Infrastructure-as-Code — using AI coding agents to scaffold and iterate on Terraform/CloudFormation modules, reserving your own time for least-privilege review, blast-radius analysis, and edge cases. Evaluate and uplift security tooling across commercial, cloud-native, and AI-assisted capabilities, focusing on scale, efficiency, and precision. Mentor engineers on how to get real leverage from AI — reviewing AI-generated code and infrastructure together, and turning recurring feedback into standards and reusable playbooks instead of repeating it review after review. Use AI to rapidly prototype automation for signal correlation, alert enrichment, and auto-remediation of known failure patterns, then harden and productionize what proves out rather than hand-building every workflow from a blank file. Architect, build, and validate integrations between AWS and other cloud-native infrastructure and security tooling (e.g., SIEM, SOAR, IAM tooling), with a growing share of first-draft code AI-generated and human-owned. Serve as a hands-on technical contributor during security incidents, using AI to accelerate log and telemetry triage while owning the judgment calls that determine root cause and response. Build and maintain reusable AI-assisted playbooks (for IaC security review, detection authoring, alert triage) that scale your judgment across the security and platform teams. Must Haves Proven delivery in security engineering or infrastructure security roles, ideally in cloud-native environments. Deep comprehension of native AWS architecture services and identity/access patterns — IAM, STS, cross-account roles and resource policies, VPC and network segmentation, KMS — with AWS as our primary cloud platform, plus working knowledge of Azure and GCP. Strong scripting and dev fundamentals in Python and/or Go — enough to read, critique, and confidently modify AI-generated code, not just prompt for it; proficiency with Git, Linux, and infrastructure automation patterns. Demonstrated fluency directing AI coding/agent tools (e.g., Claude Code, Cursor, Copilot) to accelerate delivery, paired with the judgment to catch when AI-generated infrastructure or security logic is wrong, incomplete, or dangerous. Expertise in integrating or building tooling for SIEM, SOAR, vulnerability management, and CSPM platforms. Experience deploying security controls via Infrastructure-as-Code (Terraform or CloudFormation), primarily in AWS. Comfortable investigating logs, tracing events, and contributing to incident analysis workflows. Proven ability to influence and collaborate cross-functionally with engineering, infra, product, and IT. Strong written communication and documentation skills and being able to convey complex designs clearly. Background with using and securing container orchestration (Kubernetes), including workload security and service mesh controls. Nice to Have Experience working in fast-paced or startup environments with sometimes ambiguous ownership lines. Experience building or operating agentic workflows/AI tooling for security use cases (detection authoring, alert triage, IaC generation/review). Familiarity with JavaScript or TypeScript, particularly in the context of DevOps tooling or plugins. Hands-on experience with commercial Cloud Security tools (CNAPP, CSPM, DSPM, KSPM) Partner with cloud infrastructure teams to implement and maintain security controls across AWS accounts and services. Prior experience building security telemetry pipelines or log correlation frameworks. Exposure to compliance frameworks (SOC 2, ISO 27001) and how engineering decisions affect auditability. Familiarity with CI/CD systems and integrating security checks into developer workflows. #LI-PP1 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. Base salary range: $153,000—$220,000 USD A note on AI in our process: Abnormal AI uses AI-assisted tools to help our recruiting team prepare for candidate interviews. These tools analyze resume content and role requirements to suggest interview questions and areas for the interviewer to explore. They do not make hiring decisions or screen candidates automatically. Every decision about a candidacy is made by a person. Further, if your application is successful and Abnormal AI makes a conditional offer of employment, we will carry out pre-employment checks which must be successfully completed to progress to a final offer. All processes and pre-employment checks are in line with prevailing legislation and Abnormal AI's policies relevant to our security and privacy standards. 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.

Design and maintain scalable backend services and collaborate with teams to ensure system reliability. | Bachelor's degree and 3+ years backend and distributed systems experience with proficiency in Go or Python. | About the Role Abnormal AI is seeking a Software Engineer to join the Message Mailflow team. The Message Mailflow team is responsible for building and maintaining stable, efficient, and hands-off systems that power the ingestion of billions of emails per day. Our systems are the backbone of Abnormal's core Inbound Email Security product—handling everything from upstream mailbox monitoring and email notifications to downstream remediation actions on malicious messages. The Message Mailflow team develops and manages tier 0 backend services that are mission-critical to Abnormal's success, including but not limited to Subscription Manager (which mailboxes we monitor), Notification Producer (processing new email notifications from providers), and Remediation (executing actions on malicious messages). This is a backend and systems-heavy team, and the ideal candidate will have experience working with distributed systems at scale and a passion for operational excellence. The ideal candidate has strong backend and distributed systems experience, a deep appreciation for email infrastructure, and the ability to thrive in a fast-moving 0-to-1 build environment. What You Will Do Design & execute software projects that are critical to Abnormal's core product, working with a team of engineers through conception, design, implementation, launch, and operation Own and improve the stability, performance, and scalability of tier 0 backend services that process billions of emails daily Collaborate with teams across R&D including Detection, Products, and Infrastructure to ensure Message Mailflow services meet the needs of the broader organization Participate in oncall rotations to maintain the reliability and uptime of mission-critical systems Drive continuous improvement by identifying opportunities to enhance system efficiency, reduce operational overhead, and increase reliability Raise the bar of engineering excellence, actively contributing to knowledge sharing within the team and participating in professional development activities Must Haves BS degree in Computer Science, Applied Sciences, Information Systems or other related engineering field 3+ years of industry experience on backend software development & distributed systems, designing & building software applications Experience with our stack: Go and/or Python Experience working with distributed teams, proficient in asynchronous and written communication Experience building features & components from scratch and operating them, balancing feature development work with operational tasks Open to following pre-established guidelines, coding practices, and conventions You’re growth-driven & looking to increase impact & responsibility over time Nice to Have Experience with our stack: AWS, K8, Django, Spark, Prometheus Familiarity with AWS services and deployment practices. Knowledge of containerization using Docker or similar technologies. #LI-PP1 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. Base salary range: $149,200—$214,500 USD AI and our hiring process Abnormal AI uses AI-assisted tools to help our recruiting team prepare for candidate interviews. These tools analyze resume content and role requirements to suggest interview questions and identify areas for the interviewer to explore. They do not make hiring decisions or screen candidates automatically. Every decision about a candidacy is made by a person. 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.

Build and maintain secure, AI-enabled workforce technology across identity, endpoints, and SaaS platforms with automation and self-service improvements. | At least 2 years IT engineering or systems administration experience with proficiency in identity and device management, strong scripting, API integration, and AI-forward mindset. | About the Role The Enterprise Platform Engineer helps build and run secure, reliable, and increasingly AI-enabled workforce technology across identity, endpoints, SaaS, collaboration, network, and office IT. You will turn policies, runbooks, telemetry, and employee needs into practical automations and self-service experiences that reduce manual work and improve the employee experience. You will work closely with experienced engineers and cross-functional partners while building ownership of defined platform capabilities and connected systems. You will use AI tools as part of your day-to-day engineering workflow and develop an AI-forward mindset grounded in security, observability, thoughtful evaluation, and human judgment. This role reflects Abnormal's VOICE values. You move with velocity, design for long-term ownership and governance, use data with intellectual honesty, stay close to customer needs, and aim for excellence in reliability and simplicity. What you will do Build and support automations for joiner, mover, and leaver flows, access requests, device management, deprovisioning, and common employee IT needs. Support identity and access capabilities using SSO, MFA, least privilege, birthright access, directory and group models, standards-based provisioning, and device trust. Help operate zero-touch device provisioning and management for macOS and Windows, including application packaging, patch automation, policy compliance, and drift detection. Use AI tools, APIs, workflows, and event-driven patterns to improve platform operations while applying appropriate access controls, approvals, and human review. Create self-service experiences, runbooks, and enablement content so employees and support teams can resolve common IT needs without escalation. Add telemetry, logging, dashboards, and basic evaluation so automations and AI-assisted workflows can be tested, monitored, debugged, and improved. Participate in Tier 2/3 incidents for assigned areas, perform root cause analysis, and feed incident learnings back into automations, runbooks, and standards. Partner with Security, GRC, People, Finance, IT Service Delivery, and platform owners to deliver changes safely and improve the employee experience. AI Forward Hiring We expect every engineer to use AI tools thoughtfully in their day-to-day work and to look for practical opportunities to improve platform reliability, speed, and employee experience. Candidates should be able to describe how they have used AI-assisted development, troubleshooting, documentation, workflow design, or analysis, and how they validated the output. Candidates should also demonstrate sound judgment about security, privacy, access control, data quality, hallucination risk, human approval, logging, and evaluation. Hands-on experience building an AI agent is not required, but curiosity, practical experimentation, and an AI-forward mindset are expected. Must Haves 2+ years of experience in IT engineering, platform engineering, systems administration, or a similar role supporting business-critical technology. Working knowledge of identity and access concepts including SSO, MFA, least privilege, directory and group management, and standards-based provisioning. Experience supporting macOS and/or Windows using modern device management approaches, with familiarity with application packaging, patching, configuration baselines, or compliance reporting. Ability to script and integrate systems using APIs, webhooks, workflow orchestration, or similar automation techniques. Familiarity with SaaS administration, collaboration tools, and employee-facing technology platforms. Experience with incident and change management, troubleshooting, root cause analysis, and documented follow-through. Clear written and verbal communication, including the ability to document technical processes and explain complex systems to technical and non-technical audiences. Nice to Have Experience in remote-first, SaaS-first, or zero-trust environments. Exposure to collaboration suites, meeting platforms, knowledge tools, room systems, or office networking. Familiarity with REST APIs, event-driven integrations, configuration-as-code, version control, or CI/CD practices for platform automations. Experience building self-service workflows or using AI tools to improve support, troubleshooting, documentation, or operational analysis. Awareness of security and compliance frameworks as applied to end-user platforms, identity, AI systems, or data governance. #LI-PP1 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. Base salary range: $118,600—$170,500 USD AI and our hiring process Abnormal AI uses AI-assisted tools to help our recruiting team prepare for candidate interviews. These tools analyze resume content and role requirements to suggest interview questions and identify areas for the interviewer to explore. They do not make hiring decisions or screen candidates automatically. Every decision about a candidacy is made by a person. 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.

Architect, build, and maintain model serving infrastructure and real-time data pipelines to support detection engine and collaborate with ML and data science teams. | 4+ years software engineering experience in data-intensive, cloud-based distributed architectures with a bachelor's degree in computer science or related field. | About the Role Abnormal AI is looking for a Software Engineer II to join the Detection Team. The Detection Division is focused on building the world’s most advanced technology to identify and stop email and cloud-based attacks that were previously undetectable, helping make the world a safer place. As a Software Engineer focused on building systems for Detection’s Model Platform, you will be responsible for making feature development at Abnormal a fast, responsive, stable, and confident experience for our ML and Data Science teams. The ideal candidate brings a first-principles approach to building scalable, customer-centric solutions, an ownership-oriented mindset, and the ability to iterate quickly and autonomously on novel problems. What You Will Do Leverage industry-standard AI tools to architect, design, build, deploy, and maintain Model Serving infrastructure that supports a world-class Detection Engine. Own projects that scale our model serving and data processing services to handle 10x the traffic we serve today. Own real-time and near real-time streaming pipelines, and online feature serving services. Collaborate closely with MLE and Data Science teams by distilling feedback, correlating it to strategy, and executing. Must Haves 4+ years of experience as a Software Engineer or in a similar role, with hands-on experience building data-focused solutions. Proficiency leveraging AI tools to accelerate engineering outcomes through discovery, design, implementation, and rollout of software systems. Experience maintaining large-scale distributed systems on cloud platforms such as AWS, GCP, or Azure, including a strong grasp of best practices in cloud-based engineering. Experience with real-time and near real-time data pipelines or streaming services. Strong fundamentals in computer science, data structures, and performance optimization. BS degree in Computer Science, Applied Sciences, Information Systems, or other related engineering field. Nice to Have Familiarity with our stack: AWS, Kubernetes, Python/Django, Golang, and Postgres. Experience building scalable, enterprise-grade applications. Experience with web security (e.g., OWASP Top 10). Familiarity with AI development tools such as Cursor, GitHub Copilot, or Claude. #LI-PP1 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. Base salary range: $149,200—$214,500 USD AI and our hiring process Abnormal AI uses AI-assisted tools to help our recruiting team prepare for candidate interviews. These tools analyze resume content and role requirements to suggest interview questions and identify areas for the interviewer to explore. They do not make hiring decisions or screen candidates automatically. Every decision about a candidacy is made by a person. 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.

Lead technical direction and build foundational components for an identity security platform while collaborating with engineers and customers. | At least 5 years software engineering experience, proficiency in Python or Go, and ability to work onsite in Bay Area. | Senior Software Engineer - Identity Security Enterprises are undergoing two simultaneous transformations: moving critical infrastructure to the cloud and adopting AI agents at scale. Both create an identity explosion—humans, service accounts, and AI agents now outnumber traditional users 10-to-1, each with permissions that legacy tools can't govern. Abnormal's Identity Security team is building the platform to secure this new reality: unified visibility across all identity types, behavioral intelligence that understands what's normal, and AI-native automation that operates at cloud speed. We're extending the same behavioral approach that made Abnormal the leader in email security to protect identities across cloud infrastructure and AI systems. The Identity Security team is looking for a Senior Software Engineer to build this critical product area. You'll start hands-on with a small team, shipping code while growing the product toward market fit. What you will do Work in a team 8-10 engineers, writing and reviewing code daily alongside them Collaborate closely on technical direction while building the foundations for a scalable product Partner directly with internal and external customers to gather feedback and iterate quickly Grow the team and product as we find traction and expand scope Set engineering standards and practices that will scale as the team grows This Role Is a Fit If You Thrive in ambiguity and can guide a small team through uncertainty toward product-market fit Have strong instincts for what customers need and how to translate that into product decisions Enjoy the founding-team dynamic: small group, high ownership, fast iteration This Role Is Not a Fit If You Prefer working on established teams with well-defined roadmaps Are uncomfortable with the ambiguity of an early-stage product still finding its footing Must Haves 5+ years of software engineering experience Track record of shipping products in fast-moving environments Ability to read, write, and review code at a high level (Python/Go preferred) Experience hiring and developing engineers Bay Area location required—we operate with 25% in-office presence Nice to Have Experience building enterprise/B2B security products Familiarity with machine learning systems or ML-adjacent infrastructure Exposure to AWS, Kafka, containerized services, microservices Growth Paths Expand scope as Identity Security grows, taking on additional product lines Build out a larger team as we scale beyond initial product-market fit What We Offer The opportunity to join a veteran team that has built enduring ML platforms at Google, Twitter, Pinterest, Amazon, Microsoft, and Expanse. Our customer base includes multiple Fortune 500 companies, and Identity Security is a critical bet for Abnormal's future. #LI-NT1 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. Base salary range: $179,800—$258,500 USD AI and our hiring process Abnormal AI uses AI-assisted tools to help our recruiting team prepare for candidate interviews. These tools analyze resume content and role requirements to suggest interview questions and identify areas for the interviewer to explore. They do not make hiring decisions or screen candidates automatically. Every decision about a candidacy is made by a person. 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.

Design and maintain backend services for large-scale email ingestion and remediation, ensuring scalability and reliability. | Bachelor's degree and 3+ years backend development experience with proficiency in Go or Python and distributed systems. | About the Role Abnormal AI is seeking a Software Engineer to join the Message Mailflow team. The Message Mailflow team is responsible for building and maintaining stable, efficient, and hands-off systems that power the ingestion of billions of emails per day. Our systems are the backbone of Abnormal's core Inbound Email Security product—handling everything from upstream mailbox monitoring and email notifications to downstream remediation actions on malicious messages. The Message Mailflow team develops and manages tier 0 backend services that are mission-critical to Abnormal's success, including but not limited to Subscription Manager (which mailboxes we monitor), Notification Producer (processing new email notifications from providers), and Remediation (executing actions on malicious messages). This is a backend and systems-heavy team, and the ideal candidate will have experience working with distributed systems at scale and a passion for operational excellence. The ideal candidate has strong backend and distributed systems experience, a deep appreciation for email infrastructure, and the ability to thrive in a fast-moving 0-to-1 build environment. What You Will Do Design & execute software projects that are critical to Abnormal's core product, working with a team of engineers through conception, design, implementation, launch, and operation Own and improve the stability, performance, and scalability of tier 0 backend services that process billions of emails daily Collaborate with teams across R&D including Detection, Products, and Infrastructure to ensure Message Mailflow services meet the needs of the broader organization Participate in oncall rotations to maintain the reliability and uptime of mission-critical systems Drive continuous improvement by identifying opportunities to enhance system efficiency, reduce operational overhead, and increase reliability Raise the bar of engineering excellence, actively contributing to knowledge sharing within the team and participating in professional development activities Must Haves BS degree in Computer Science, Applied Sciences, Information Systems or other related engineering field 3+ years of industry experience on backend software development & distributed systems, designing & building software applications Experience with our stack: Go and/or Python Experience working with distributed teams, proficient in asynchronous and written communication Experience building features & components from scratch and operating them, balancing feature development work with operational tasks Open to following pre-established guidelines, coding practices, and conventions You’re growth-driven & looking to increase impact & responsibility over time Nice to Have Experience with our stack: AWS, K8, Django, Spark, Prometheus Familiarity with AWS services and deployment practices. Knowledge of containerization using Docker or similar technologies. #LI-PP1 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. Base salary range: $149,200—$214,500 USD AI and our hiring process Abnormal AI uses AI-assisted tools to help our recruiting team prepare for candidate interviews. These tools analyze resume content and role requirements to suggest interview questions and identify areas for the interviewer to explore. They do not make hiring decisions or screen candidates automatically. Every decision about a candidacy is made by a person. 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.

Lead software architecture and implementation for AI security products and mentor junior engineers. | Bachelor's degree and 5+ years backend and distributed systems experience with Python or Go and AI tools proficiency. | About the Role Abnormal AI is looking for a Senior Software Engineer to join the Adaptive Classifications Team. The team owns & operates Abnormal’s AI Security Mailbox and Detection 360 products. The team’s goal is to automate security analysts' workflows by providing them with reliable, intuitive, and delightful agentic products that give them back time in their day. This is a full-stack team responsible for all layers, including data storage, detection efficacy, backend, and frontend. The ideal candidate will have worked across the stack and have in-depth knowledge about backend systems, distributed computing, and event-driven architecture. What you will do Work with the Engineering Manager & Product Manager to craft the roadmap for the ACT team. Lead and architect Software Projects critical to Abnormal’s success with a team of engineers through conception, design, implementation, launch & operation. Provide guidance and mentorship for junior members of the team Collaborate with Technical Program Managers, Product Managers, and Go-To-Market teams in order to implement, verify, and iterate on the issues & requests coming from our customers Raise the bar of excellence in engineering, actively contributing to knowledge sharing within the team, and participating in professional development activities. Grow into a tech lead role for the AI Security Mailbox product Own key deliverables from e2e within our division's quarterly roadmap and a subset of the key divisional SLAs/SLOs Provide direct leverage for the team by architecting and owning AI-native workflows to eliminate team toil. Must Haves BS degree in Computer Science, Applied Sciences, Information Systems, or other related engineering field 5+ years of industry experience on backend web development & distributed systems, designing & building software applications Experience working individually as well as in groups on a regular basis Experience working with distributed teams, proficient in asynchronous and written communication Experience building features & components from scratch and operating them, balancing feature development work with operational tasks Expert with Python and/or Go Proficient and bullish about AI tools such as Cursor, Claude, and other AI native workflows You’re growth-driven & looking to increase impact & responsibility over time Nice to Have Experience with our stack: Python, Go, AWS, Kubernetes, Django, Celery, Kafka, Prometheus, Postgres/MySQL Experience with frontend frameworks, particularly React.js Tech Lead Experience Familiarity with AWS services and deployment practices. Startup or Cybersecurity Experience MS degree in Computer Science, Electrical Engineering, or other related engineering field #LI-PP1 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. Base salary range: $179,800—$258,500 USD AI and our hiring process Abnormal AI uses AI-assisted tools to help our recruiting team prepare for candidate interviews. These tools analyze resume content and role requirements to suggest interview questions and identify areas for the interviewer to explore. They do not make hiring decisions or screen candidates automatically. Every decision about a candidacy is made by a person. 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.

Maintain secure and compliant FedRAMP environment through security operations engineering and automation, managing CI/CD pipelines, security impact analyses, and incident response. | 5-7 years experience in security engineering within federal or regulated cloud environments with proficiency in NIST 800-53, AWS security, and infrastructure automation. | About the Role Abnormal AI is seeking a Senior Security Engineer to ensure Abnormal’s FedRAMP environment operates securely, resiliently, and efficiently. This role focuses on security operations engineering, with responsibilities spanning CI/CD pipelines, access management, patch management, change reviews, incident response, and security automation. The engineer will directly own and improve the technical workflows that keep Abnormal Gov systems compliant and resilient at scale. The ideal candidate combines deep cloud and infrastructure security expertise with operational discipline, and is AI-enabled to maximize efficiency and reduce overhead. What you will do Maintain and improve CI/CD pipelines to support secure deployments and infrastructure workflows. Manage infrastructure-as-code (IaC) PR and Change Control Board reviews, ensuring changes are tested, approved, and secure before release. Perform security impact analyses (SIAs) for system/application changes and provide recommendations. Run OS and infrastructure patch cycles; manage hardened images and patch workflows for FedRAMP environments. Govern access management, including account provisioning, RBAC module maintenance, and periodic reviews. Manage logging and monitoring pipelines; tune SIEM ingestion and alerting for coverage and accuracy. Triage and respond to security incidents, from alert investigation through containment, recovery, and after-action reporting. Maintain and refine runbooks, SOPs, and documentation to ensure consistent operations and audit readiness. Collaborate with DevInfra, FedOps, Product, and Compliance teams to embed secure practices into operations and development. Must Haves 5 - 7 years in security engineering or infrastructure operations within federal or regulated cloud environments. Strong familiarity with NIST 800-53 controls and continuous monitoring practices. Proven delivery of AWS/SaaS security best practices. Hands-on expertise with CI/CD, infrastructure automation, and IaC security practices. Experience in patch management, hardened baselines, and secure image pipelines. Strong knowledge of identity and access management (IAM) design and enforcement in large-scale environments. Proven ability to manage SIEM pipelines and lead Tier 1/ Tier 2 incident response. Strong technical documentation, collaboration, and incident/project management skills. Nice to Have Experience integrating security automation into CI/CD pipelines and SecOps workflows. Prior experience supporting federal audits or 3PAO engagements. Knowledge of SaaS security operations and monitoring at scale. Experience driving automation in security operations, compliance tracking, and evidence management. Knowledge of SaaS security operations and modern cloud environments; exposure to DevSecOps pipelines or security reviews for Terraform/containers. #LI-JT1 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. Base salary range: $153,000—$220,000 USD AI and our hiring process Abnormal AI uses AI-assisted tools to help our recruiting team prepare for candidate interviews. These tools analyze resume content and role requirements to suggest interview questions and identify areas for the interviewer to explore. They do not make hiring decisions or screen candidates automatically. Every decision about a candidacy is made by a person. 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.