Abnormal

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.

Lead design and evolution of FedRAMP High cloud infrastructure and build reusable Terraform modules to improve operational leverage. | 7+ years public cloud experience with AWS and Terraform expertise, US citizenship or permanent residency, and compliance environment experience required. | About the Role Abnormal AI is hiring a Senior Software Engineer, Cloud Infrastructure to help build the Federal Platform layer underpinning our GovCloud environment. This is a platform infrastructure role first: you will design and evolve the core infrastructure, deployment foundations, and platform patterns that make GovCloud behave more like a thin extension of our commercial platform, with less drift and stronger operational leverage over time. As the first engineer focused on Federal Platform, you will help define the charter for the team, provide mentorship and guidance on platform-oriented topics in the GovCloud environment, and build the paved roads that make Federal Operations and application teams more self-sufficient as we scale the federal business. What you will do Lead the build-out and evolution of Abnormal’s FedRAMP High cloud infrastructure, translating security and compliance requirements into reliable, auditable AWS implementations for the GovCloud environment. Design and maintain reusable Terraform modules, infrastructure patterns, and platform standards that make Gov changes safer, more repeatable, and easier for FedOps engineers to operate. Drive sound architectural decisions across compute, networking, and service design, balancing compliance, operational simplicity, and parity with commercial where it delivers the most value. Partner closely with FedRAMP, compliance, and other engineering teams to reduce environment drift, improve deployment readiness, and close high-impact gaps between Gov and commercial. Raise the operational bar for GovCloud through better monitoring, alerting, documentation, and incident readiness, with a focus on reducing toil and improving long-term maintainability. Serve as a technical leader for FedOps by mentoring engineers, guiding implementation quality, and helping the team adopt AI-assisted workflows that speed up delivery and onboarding. Must Haves 7+ years of experience operating public cloud environments, with deep hands-on AWS expertise Strong, production-grade Terraform experience. Comfortable building and debugging IaC modules from scratch, not just using existing configurations Experience deploying and managing Kubernetes workloads in production Experience working in or building toward compliance-constrained environments (FedRAMP, SOC 2, ISO 27001, or similar) Comfort reading and writing Python, Go, or similar scripting languages. You don't need to ship full applications, but should be able to read, adapt, and write infrastructure automation scripts Demonstrated AI-forward mindset. Active use of AI in engineering workflows beyond as a coding assistant US Citizenship or Permanent Resident status (required for FedRAMP environment access) Nice to Have Direct FedRAMP Moderate or High implementation experience Experience building developer enablement infrastructure: cloud code integration, local agent setup, or CI/CD pipelines Experience using AI/LLM tooling in production engineering contexts AWS certifications (Solutions Architect, DevOps Engineer, or equivalent) #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 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 implement SMTP relay infrastructure and operate mail flow services collaborating with product managers. | Bachelor's degree and 3+ years backend experience with distributed systems using Go or Python, comfortable with owning production services. | About the Role Abnormal AI is looking for a Software Engineer to join the newly formed Inline Mailflow team. This team is building Abnormal’s next-generation SMTP relay infrastructure - a scalable mail flow harness that will power our outbound email security motion and long-term SEG displacement strategy against competitors. The Inline Mailflow team will operate as a close counterpart to the current Inline Remediation team and will live within the Message Platform group. The relay harness will serve as the foundation for a growing portfolio of capabilities including outbound filtering, DLP enforcement, misdirected email detection, IP management, encryption, archiving, and DMARC enforcement. 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 and implement core components of the SMTP relay harness, including Mail Transfer Agent (MTA) infrastructure, scalability, IP management, encryption, and DMARC support, working from conception through production operation. Co-build the production relay alongside existing infra engineers, ramping toward full ownership of defined services as the product matures through Q3 and into EA. Collaborate with PMs and Solutions Architects to translate customer requirements into reliable, opinionated relay configurations that support inbound and outbound use cases. Own and operate tier-0 mail flow services that handle high volumes of enterprise email at production SLA, participating in on-call rotations and driving continuous reliability improvements. Contribute to technical design discussions on how the relay integrates with existing inline products (outbound DLP, behavioral outbound, misdirected email), helping define the architecture of the broader Mail Flow platform. Raise the bar of engineering excellence by contributing to knowledge sharing, runbooks, and professional development within the team. Must Haves BS degree in Computer Science, Applied Sciences, Information Systems, or a related engineering field. 3+ years of backend software development experience with distributed systems, designing and building production services. Hands-on experience with our stack: Go and/or Python. Experience building features and components from scratch and owning them in production, balancing feature development with operational work. Comfortable with ambiguity and 0-to-1 projects where you help shape requirements alongside product and engineering stakeholders. Experience working with distributed teams; proficient in asynchronous and written communication. Nice to Have Solid understanding of email protocols and infrastructure (SMTP, MTA architecture, DNS, SPF/DKIM/DMARC). Experience with our extended stack: AWS, Kubernetes, Django, Spark, Prometheus. Familiarity with email security products or Secure Email Gateways (SEGs) such as Proofpoint, Mimecast, or Microsoft Defender. Experience with email deliverability concepts: IP reputation, bulk sending infrastructure, bounce handling, or feedback loops. Familiarity with containerization using Docker or similar technologies. #LI-RT1 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 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 and maintain model serving infrastructure and data processing services to support detection engine and collaborate with ML teams. | 4+ years software engineering experience in data-focused distributed systems on cloud platforms with a relevant bachelor's degree. | About the Role Abnormal AI is looking for a Software Backend Engineer II to join the Detection Team. The Detection Division is focused on building the world’s most advanced technology for identifying and stopping email and cloud-based attacks that were previously undetectable and help 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 team. The ideal candidate would have the following qualities: A first principles approach to building scalable, customer-centric solutions A drive to solve meaningful & pragmatic problems for real-world people An ownership and impact oriented outlook on your efforts and growth An ability to iterate in real-time-solving novel problems, quickly and autonomously An ability to iterate in real-time - solving novel problems, quickly and autonomously What you will do Leverage the 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, 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 in building data-focused solutions. Proficiency leveraging AI tools to accelerate engineering outcomes, through the discovery, design, implementation and rollout of software systems Experience with 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. Familiarity with maintaining real-time and near real-time data pipelines or streaming services Experience working with distributed teams, proficient in asynchronous and written communication Excellent problem-solving skills and the ability to work independently in a fast-paced environment. You’re capable of breaking down complex challenges into manageable steps and iterating on solutions, balancing immediate needs with long-term scalability. You’re growth driven & looking to increase impact & responsibility over time 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, K8, Python/Django, Golang, Postgres) Experience / passion in building scalable, enterprise-grade applications. Experience with web security (eg. OWASP top 10) Familiarity with AI development tools such as Cursor, GitHub Copilot, or Claude. #LI-RT1 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 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 evolve internal developer platform projects including CLI tooling, CI/CD, and test infrastructure. | Strong experience in Python, Go, Bazel, Kubernetes, cloud infrastructure, and building scalable developer tools. | About the team The Dev Accelerator team builds and operates our internal developer platform: the tools, libraries, and infrastructure that let 100+ engineers design, build, test, and ship products quickly and safely. We own: Developer CLI tooling – a “Prompt-to-Product” style CLI that scaffolds services end-to-end, environment/credentials tooling, and a wide range of internal developer scripts. Monorepo build, lint, and CI infrastructure, including our core backend CI workflow, Bazel integration, and a custom linting framework and rule set used across the codebase. Go ecosystem stewardship for a large suite of shared libraries and applications under our main Go module. Python shared libraries & frameworks for core business logic, gRPC helpers, utilities, and standardized component libraries (datastores, messaging, web, etc.). Engineering effectiveness & test infrastructure, including automated canary analysis, test data and coverage tooling, bad test dashboards, dependency analysis, and “broken main” automation. Our goal is to make the easy path the right path for product teams and AI agents building on the platform. About the role As a Senior Software Engineer, Dev Accelerator, you will: Design and evolve the internal developer platform that underpins virtually all backend development. Own high-leverage projects across CLI tooling, CI/CD, shared libraries, and test infrastructure. Work across Python, Go, Bazel, Kubernetes, AWS, and CI systems to make our Golden Path fast, reliable, and intuitive. Shape abstractions and workflows that are AI-native, consumable by both humans and AI agents. You’ll operate as a senior IC, leading multi-quarter initiatives and collaborating with product teams, infrastructure, SRE, and Security. What you’ll do Build and evolve developer CLI tooling Extend our primary developer CLI to scaffold new component types and services end-to-end (service manifests, container/build configs, deployment charts, build files, API definitions, starter code, alerts, runbooks). Improve environment and credentials tooling to make local development setup fast and reliable. Own core CI/CD and linting infrastructure Design and maintain the backend CI workflow used by backend services. Evolve linting, formatting, and typing tools to enforce architectural and code-quality guardrails across the monorepo. Debug and fix CI issues that block engineers, and proactively reduce flakiness and runtime. Steward shared Go and Python ecosystems Own key shared Go libraries (auth, caching, clients, configuration, cryptography, logging, metrics, domain/realm, server, etc.) and their usage across many applications. Maintain and evolve Python shared libraries and frameworks in our core libraries, gRPC helpers, utilities, and standardized components. Strengthen test and release safety Extend automated canary analysis with new metric types, backtesting, and safer defaults. Build and improve test automation tooling, bad-test detection dashboards, and dependency-analysis utilities to keep main green and tests reliable. Contribute to automation that classifies CI failures and summarizes them for engineers (including LLM-assisted workflows). Drive platform-level design and abstractions Design abstractions that balance simplicity for product engineers with enough power for advanced use cases. Collaborate with PM/TPM, infrastructure, and product teams to scope and deliver multi-team initiatives (e.g., prompt-to-product workflows, typing and linting initiatives, test automation). Required technical skills Languages & frameworks Strong experience with Python 3.x: CLI development (e.g., Click or similar). YAML/Jinja2-style templating. Modern type hints and typing discipline (e.g., typing, dataclasses / attrs, Pydantic-style patterns). Testing with pytest or similar. Solid experience with Go: Shared library and service development (gRPC/HTTP). CLI patterns (e.g., Cobra/Viper or equivalents). Testing with Go testing frameworks (e.g., Ginkgo/Gomega or the standard library). Protocols & APIs Protobuf/gRPC: Schema design and evolution. Cross-language client/server generation and integration. Build systems & infrastructure Bazel in a large monorepo: BUILD rules and dependency management. Working with code generation for APIs and clients. Containers & orchestration: Docker image builds. Kubernetes concepts (Helm-style values, service deployments, readiness/liveness/health checks). Cloud infrastructure (AWS preferred): Experience with a meaningful subset of: object storage, relational databases (e.g., Postgres), key–value/document stores, search, streaming/ingest services, Kafka, Redis, IAM. CI/CD & DevOps Modern CI systems (e.g., Git-based CI/CD platforms): Authoring non-trivial pipelines (matrix builds, reusable workflows, secrets/permissions). Infrastructure-as-Code mindset: Comfortable working with service manifests (YAML), Terraform/Terragrunt-like patterns, or internal equivalents. Linting & static analysis: Hands-on experience configuring and tuning linting and typing tools (e.g., pylint, ruff, mypy, golangci-lint). Experience writing or extending custom lint rules is a strong plus. Strongly preferred Monorepo experience Worked in a large, shared codebase with complex dependency graphs and shared frameworks. Familiar with dependency graph analysis and strategies to keep builds/tests fast. Developer experience (DX) tooling Built or maintained CLI tools, scaffolding systems, or internal frameworks used by other engineers. Thoughtful about ergonomics, documentation, and guardrails. Testing & progressive delivery Exposure to canary analysis / progressive rollout systems (e.g., Prometheus/PromQL, Grafana, automated deployment checks). Experience with test data management, integration/E2E test infrastructure, or bad-test detection. Messaging & streaming Experience with Kafka (topic design, producers/consumers, observability, error handling). LLM/AI integration Experience or strong interest in using LLMs to improve developer workflows (e.g., failure summarization, smart code generation, AI-native CLIs). How you work We’re looking for someone who: Designs scalable developer abstractions Has built tools that many engineers depend on, and can point to where those abstractions worked (or didn’t) and why. Operates across the full platform stack Comfortable jumping between Python CLIs, Go libraries, Bazel rules, YAML manifests, CI workflows, and Kubernetes deployments. Reduces complexity for others Measures success by how much simpler and safer life becomes for product engineers and AI agents using the platform. Thinks in terms of leverage Prefers building guardrails, automation, and self-service over manual ops work. Writes clear documentation Treats usage and developer documentation as part of the product surface, not an afterthought. Collaborates across teams Communicates clearly with product teams, infra, SRE, and security; comfortable gathering feedback via Slack, ticketing systems, and design docs and iterating quickly. If you’re excited about building the tools and infrastructure that hundreds of engineers (and AI agents) will use every day, we’d love to talk. #LI-AJ1 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 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.

Develop and maintain technical marketing assets and demos to communicate AI-driven security solutions, collaborating with product, engineering, and sales teams. | 7+ years in technical marketing or related roles with strong cybersecurity background, technical degree or equivalent, and experience creating customer-facing technical content. | About the Role Abnormal AI is seeking a Senior Technical Marketing Manager to join our marketing team as the technical expert responsible for owning and delivering high-impact, customer-facing technical assets. In this role, you will bridge the gap between Abnormal’s cutting-edge R&D innovations and the market by developing content that showcases the depth, sophistication, and value of our AI-driven security solutions. You will work cross-functionally with product, engineering, sales, and product marketing to build demos, technical collateral, and validation materials that engage technical buyers, support go-to-market initiatives, and drive sales success. The ideal candidate combines deep technical expertise with strong communication skills and thrives in environments where clarity must be created from complexity. What you will do Develop and maintain a comprehensive library of technical assets including demo videos, whitepapers, technical blog posts, and interactive demo experiences, that articulate Abnormal’s differentiated capabilities to both technical and executive audiences. Research and understand new features, translating technical capabilities into market-ready messaging and content Independently build and maintain guided technical experiences that highlight Abnormal's unique value proposition and differentiated capabilities. Serve as the senior technical subject matter expert for strategic engagements with industry analysts, articulating the technical superiority of the platform. Produce technical validation and thought leadership content, including benchmark reports, integration guides, and architecture deep dives, that positions Abnormal as the technical leader in email security and AI-driven threat detection Establish and maintain processes for keeping technical content current and relevant as products evolve Lead the development of technical launch deliverables—including demo scenarios, validation content, and internal enablement tools—in partnership with product and PMM Must Haves 7+ years of experience in technical marketing, solutions engineering, or related technical customer-facing role Strong background in cybersecurity, email security, or adjacent security domains, with the ability to rapidly understand and explain complex technical concepts, architectures, and threat models Proven experience owning the end-to-end development of customer-facing technical content, including videos, demo assets, technical blogs, whitepapers, and solution briefs Excellent written and verbal communication skills, with a demonstrated ability to communicate technical value to both practitioner and executive audiences Experience working with R&D teams and translating engineering developments into market-facing content Bachelor’s degree in Computer Science, Engineering, Cybersecurity, or a related technical field (or equivalent practical experience) Experience with content creation tools, video production, and technical documentation platforms Nice to Have Previous experience in email security, AI/ML applications in cybersecurity, or threat detection technologies Experience with interactive demo platforms and customer engagement tools Background in technical sales or solutions engineering roles Master's degree in relevant technical field Industry certifications in cybersecurity (CISSP, CISM, etc.) #LI-LM3 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. Base salary range: $170,000—$200,000 USD 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 deploy backend services for a Detection Engine. Analyze data to improve detection efficacy and optimize backend features for customer-facing capabilities. | 3+ years of experience in building data-oriented products and proven experience with data analysis. A BS degree in a related field is required, with knowledge of ML systems being a plus. | About the Role Abnormal Security is looking for a Software Engineer II to join the Message Detection - Attack Detection team. At Abnormal, we protect our customers against nefarious adversaries who are constantly evolving their techniques and tactics to outwit and undermine the traditional approaches to Security. That’s what makes our novel behavioral-based approach so…Abnormal. Abnormal has constantly been named as one of the top cybersecurity startups and our behavioral AI system has helped us win various cybersecurity accolades resulting in being trusted to protect more than 20% of the Fortune 500 ( and ever growing ). In a landscape where a single successful attack can lead to financial losses of millions of dollars, the Attack Detection team plays the central role of building an extremely high recall Detection Engine that can operate on hundreds of millions of messages at milliseconds latency. The Attack Detection team’s mission statement is to provide world-class detector efficacy to tackle changing attack landscape using a combination of generalizable and auto trained models as well as specific detectors for high value attack categories. This team is solving a multi-layered detection problem, which involves modeling communication patterns to establish enterprise-wide baselines, incorporating these patterns as robust signals, and combining these signals with contextual information to create extremely precise systems. The team builds discriminative signals at various levels including message level (eg. presence of particular phrases), sender-level (eg.frequency of sender) and recipient level (eg.likelihood of receiving a safe message). Additionally to maintain an overall high precise detection system, the team innovates on software systems and processes which can be quickly adapted to solve trends seen in the short term as well as generalize well in the longer term. This role would also have an opportunity to have a significant impact on the overall charter, direction and roadmap of the team. The Software Engineer II would be involved in understanding the domain of false negatives in the fraud detection domain, and build out the strategy for addressing the most pressing customer problems and execute the associated technical roadmap to continuously operate our detection decisioning system at an extremely high precision. What you will do Architect, build and deploy backend services and infrastructure that drive a world-class Detection Engine Deep inspection and row level data analysis of our false negatives and false positives, and produce feature insights and heuristic detectors to iteratively improve our detection efficacy. Design and implement feature extraction pipelines that transform raw email data and behavioural patterns into meaningful, efficient structured signals Optimize backend features and services that directly power customer-facing detection capabilities, ensuring high performance and reliability. Coach and mentor junior engineers via 1on1s, pair programming, high quality code reviews and design reviews Must Haves 3+ years of professional experience as a hands-on engineer building data-oriented products. Proven experience with data analysis and using metrics to answer critical questions about system efficacy and drive development. Experience with real-time, online, and/or high-throughput & low-latency distributed systems Strong ability to independently debug complex data and system issues using log analytics, metrics, and other signals. Works well with other stakeholders - has worked with cross-functional teams to drive projects over the finish-line. BS degree in Computer Science, Applied Sciences, Information Systems, or another related engineering field. Nice to Have Knowledge of ML systems/products and/or distributed system technologies (feature platform serving systems, ML training and ML serving platforms, etc.) Experience working with high-throughput offline systems in Python and/or Go MS degree in Computer Science, Electrical Engineering or other related engineering field Familiarity with cyber security industry #LI-NT1 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. Base pay range: $148,800—$175,050 USD San Francisco/New York Base pay range: $165,000—$195,000 USD 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.

Manage FedRAMP compliance operations including POA&M, coordinate remediation, draft compliance documentation, support audits, and collaborate cross-functionally to maintain federal compliance posture. | 5+ years in federal compliance roles focused on FedRAMP, FISMA, CMMC; hands-on POA&M and continuous monitoring experience; strong knowledge of NIST 800-53 controls; excellent documentation and collaboration skills. | About the Role Abnormal AI is seeking a Federal Compliance Analyst to join the Abnormal Gov team, supporting our FedRAMP-authorized platform and federal customer base. This role will play a critical part in maintaining Abnormal’s compliance posture, driving continuous monitoring activities, and supporting federal customer onboarding. The ideal candidate is detail-oriented, experienced in government compliance frameworks, and passionate about enabling secure, compliant adoption of cutting-edge cybersecurity solutions. What you will do Manage compliance operations under FedRAMP Moderate, including monthly, quarterly, and annual submissions. Maintain POA&M records, coordinate remediation activities, and track vulnerability management workflows. Draft and review customer-facing compliance documentation such as control narratives, and audit responses. Partner with Product, Engineering, and Security teams to conduct security impact analyses (SIA) for system changes. Support federal POVs and onboarding by providing compliance assurance and documentation to Sales and Customer Success teams. Coordinate with external assessors, 3PAO, and government sponsors during audits and continuous monitoring engagements. Identify opportunities to automate and streamline compliance evidence collection and reporting. Must Haves 5+ years of experience in compliance, risk, or audit roles with a focus on U.S. federal requirements (FedRAMP, FISMA, CMMC, etc.). Hands-on experience managing POA&M and continuous monitoring deliverables. Strong knowledge of NIST 800-53 security controls and their application in cloud environments. Demonstrated ability to write and maintain compliance documentation for technical and non-technical audiences. Proven cross-functional collaboration skills, especially with Product, Engineering, and Security teams. Experience supporting third-party audits and government authorizations. Excellent organizational skills and the ability to manage multiple deadlines. Nice to Have Experience with automation tools for compliance tracking and evidence management. Prior work with a FedRAMP-accredited 3PAO or government agency. Familiarity with cloud security in AWS and SaaS environments. Exposure to CMMC Level 2 and DoD compliance frameworks. 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. Base salary range: $127,500—$150,000 USD 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.

Drive product strategy and roadmap, pioneer AI-native cybersecurity solutions, lead cross-functional teams, and support market development for a new product line. | 4+ years of technical B2B SaaS product management experience, proficiency with AI tools and prototyping, strong collaboration and communication skills, and customer-focused mindset. | The Opportunity 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 Requirements Must-Haves 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 Nice-to-Haves 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 How We Work 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 Abnormal Abnormal 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. Base salary range: $168,300—$198,000 USD 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. Base pay range: $168,300—$198,000 USD San Francisco/New York Base pay range: $187,000—$220,000 USD 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 AI transformation pods to develop internal AI solutions, collaborate with executives and business leaders, define product roadmaps, manage full product lifecycle, and measure impact. | Requires a technical degree in STEM, AI/ML coursework, software engineering experience, strong AI product expertise, programming proficiency, and executive stakeholder management. | About the Role Abnormal AI is revolutionizing both cybersecurity and internal operations through advanced AI solutions. As we scale, we're establishing AI Transformation Pods to drive operational efficiency across our organization. These pods are critical to the company's overall AI strategy, offering unique visibility with the CEO and executive leadership The AI-Native PM leads the development of internal AI solutions, identifying opportunities for automation and efficiency across Abnormal Security. This role requires a blend of product thinking, technical understanding of AI capabilities, and entrepreneurial drive. You'll work closely with functional executives to identify high-value opportunities and build AI solutions that drive meaningful operational change. What you will do Own a dedicated “AI transformation pod”, partnering with a specific go-to-market function Identify high-impact opportunities for AI transformation Collaborate with go-to-market stakeholders and business leaders to validate AI Transformation ideas Define product requirements and roadmaps for AI-native solutions Leverage AI-enabled developer tools (Cursor, Claude Code, etc) to rapidly develop and iterate on solutions for users across Abnormal. Manage the full product lifecycle from conception to deployment Measure and report on impact of deployed solutions Present pod updates to executive leadership and evangelize new initiatives directly to potential users Identify and scope high leverage opportunities for the AI Platform Engineering team to build reusable infrastructure that can benefit the AI Transformation pods. Must Haves Technical degree (Computer Science, Engineering, Mathematics, Physics, etc.) Coursework in AI/ML, product development, or entrepreneurship Product management experience with demonstrable AI product expertise Prior work experience in Software Engineering Strong understanding of LLMs, agents, and modern AI capabilities Experience leading cross-functional teams Exceptional stakeholder management skills at the executive level Ability to translate complex operational problems into AI-powered solutions Track record of measuring and communicating business impact to stakeholders Comfort presenting to and engaging with C-suite executives and board members Proficient in at least one programming language (Python preferred) Experience with AI tools (Cursor, v0, Claude Code, etc.) GitHub profile or portfolio showing self-initiated projects Nice to Have Prior work experience at an enterprise software company is nice to have Internships at tech companies (especially startups) Research assistant positions in AI/ML labs Hackathon participation and awards Product-focused roles or projects Open source contributions #LI-ML1 #LI-ML1 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. Base salary range: $127,500—$150,000 USD 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 and hire a team of technical marketing professionals while developing a comprehensive technical marketing strategy. Collaborate with cross-functional teams to create and maintain technical content that aligns with business goals. | Candidates must have 8+ years of experience in technical marketing or related fields, with at least 3 years in a management role. A strong background in cybersecurity and excellent communication skills are essential. | About the Role Abnormal AI is seeking a Senior Manager, Technical Marketing to lead our technical marketing function. In this role, you will shape technical marketing strategy across the organization, manage cross-functional workstreams with Product, Product Marketing, Enablement and Sales Engineering, and build scalable processes that support our go-to-market objectives. You will lead a team of technical marketing professionals while serving as the senior technical authority for executive-level customer engagements and strategic initiatives. This role requires a proven leader who can align technical marketing efforts with business objectives, develop talent, and establish Abnormal as the definitive technical authority in AI-driven security. What you will do Lead and hire a team of technical marketing professionals, establishing clear priorities, processes, and success metrics aligned with company objectives Develop comprehensive technical marketing strategy spanning multiple product lines and go-to-market initiatives Build and maintain strategic relationships with industry analysts to position Abnormal as the technical leader in the AI security space Player coach creating and overseeing the creation and maintenance of technical content across all formats — demos, whitepapers, interactive demos — ensuring consistent quality and strategic alignment with business goals Guide cross-functional teams through complex technical positioning decisions and contribute to department strategy development with significant independent judgment Develop and maintain a comprehensive library of technical assets including demo videos, whitepapers, technical blog posts, and interactive demo experiences, that articulate Abnormal’s differentiated capabilities to both technical and executive audiences. Collaborate closely with R&D teams to research and understand new features, translating technical capabilities into market-ready messaging and content Partner with sales teams to ensure technical assets align with customer needs and sales objectives Establish and maintain processes for keeping technical content current and relevant as products evolve Lead the development of technical launch deliverables—including demo scenarios, validation content, and internal enablement tools—in partnership with product and PMM Must Haves 8+ years of experience in technical marketing, product marketing, or solutions engineering with 3+ years in people management roles leading technical teams Proven track record of building and scaling technical marketing functions Strong background in cybersecurity, email security, or adjacent security domains, with the ability to rapidly understand and explain complex technical concepts, architectures, and threat models Proven experience owning the end-to-end development of customer-facing technical content, including videos, demo assets, technical blogs, whitepapers, and solution briefs Excellent written and verbal communication skills, with a demonstrated ability to communicate technical value to both practitioner and executive audiences Experience working with R&D teams and translating engineering developments into market-facing content Demonstrated ability to serve as a technical expert during customer calls, product demos, and field engagements, with comfort navigating deep technical questions and ambiguous customer needs Bachelor’s degree in Computer Science, Engineering, Cybersecurity, or a related technical field (or equivalent practical experience) Experience with content creation tools, video production, and technical documentation platforms Nice to Have Previous experience scaling technical marketing teams in high-growth SaaS or security companies Background in email security, AI-driven threat detection, or enterprise security platforms Experience with analyst relations, technical press engagement, and industry thought leadership programs Track record of successful cross-functional leadership in matrix organizational structures Industry recognition as technical thought leader or subject matter expert #LI-LM3 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. Base salary range: $204,000—$240,000 USD 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 the planning cycles for the Go-To-Market (GTM) organization and manage the GTM P&L to ensure financial visibility and accountability. Collaborate with cross-functional teams to refine metrics and perform scenario analyses to inform strategic decisions. | Candidates should have 5-8+ years of experience in FP&A or related fields, with a proven track record in supporting GTM functions. Strong financial modeling skills and the ability to communicate effectively with senior leadership are essential. | About the Role Abnormal Security is hiring a GTM Finance Manager to serve as the financial backbone of our Go-To-Market (GTM) organization—Sales, Customer Success, and Marketing. Reporting to the Sr. Director of GTM Finance, this role will drive planning, expense management, and operational visibility across the full GTM P&L. This is both a strategic and highly operational role. You’ll lead annual and quarterly GTM planning cycles, build headcount and capacity models, and deliver executive-ready reporting that drives accountability and transparency. You’ll partner cross-functionally with GTM Ops and Finance leaders to harmonize planning frameworks, refine key metrics, and perform scenario analyses that inform international expansion, new GTM motions, and investment trade-offs. The ideal candidate is an expert in GTM financial management with a forward-looking mindset—equally comfortable optimizing expenses, evaluating business cases, and deploying AI-enabled forecasting tools to improve accuracy and scalability. In a fast-growing, global cybersecurity enterprise, your impact will shape how we invest resources, measure performance, and accelerate sustainable growth. What you will do Lead GTM Planning Cycles: Drive annual, quarterly, and monthly GTM planning processes, consolidating inputs across Sales, Customer Success, and Marketing to ensure alignment with corporate goals. Own the GTM P&L: Consolidate and manage the GTM P&L, providing financial visibility, transparency, and accountability across all customer-facing functions. Headcount & Capacity Modeling: Build and maintain headcount, capacity, and productivity models that guide hiring strategies, productivity benchmarks, and long-term growth decisions. Cross-Functional Partnership: Partner closely with Sales Ops, CS Ops, and Marketing Ops to harmonize planning frameworks, align performance metrics, and ensure operational execution supports financial objectives. Scenario Planning & Sensitivity Analysis: Perform scenario modeling and sensitivity analyses to assess evolving business models, international expansion, pricing strategies, and new GTM motions. Executive Reporting & Insights: Deliver executive-ready reporting and analysis for GTM and Finance leadership, including variance analyses, ROI tracking, investment trade-offs, and strategic recommendations. Ad Hoc Strategic Projects: Support and lead special projects that cut across GTM functions, providing financial insight, bandwidth, and connective tissue between business units. Champion Forecasting Innovation: Introduce and champion modern, AI-enabled forecasting tools and methodologies to improve accuracy, scalability, and speed of decision-making Expense Optimization: Identify, track, and optimize GTM operating expenses, ensuring resources are allocated efficiently to maximize return on investment. KPI Development & Governance: Define, monitor, and refine key GTM financial and operational metrics, establishing a governance framework that drives accountability across functions. Investment Business Cases: Develop financial models and business cases for incremental GTM investments (e.g., new markets, programs, or partnerships) to guide strategic decision-making. Process Standardization & Automation: Build repeatable, scalable processes for planning and expense management, leveraging automation and advanced analytics to reduce manual effort. Must Haves 5–8+ years of progressive experience in FP&A, Strategic Finance, or BizOps, preferably within high-growth B2B SaaS or cybersecurity. Proven track record supporting GTM functions (Sales, Customer Success, Marketing) with financial planning, reporting, and investment decision-making. Expert financial modeling capabilities, with the ability to build driver-based, headcount, capacity, and scenario models from the ground up. Hands-on experience managing and consolidating multi-department P&Ls, ensuring visibility, accountability, and actionable insights across functions. Exceptional cross-functional influence and communication skills, able to partner credibly with GTM leaders, Ops teams, and executives to align on strategy and execution. Advanced proficiency in Excel / Google Sheets, with experience using modern planning platforms (Pigment, Anaplan, Adaptive, or equivalent) to scale processes. Analytical storytelling expertise, capable of translating complex data and models into clear, compelling narratives for senior leadership. Comfort with ambiguity and fast-paced environments, operating with ownership, urgency, and precision while scaling processes in a dynamic global business. Forward-looking, technology-driven mindset, with exposure to AI-enabled forecasting, planning automation, or advanced analytics tools preferred. Nice to Have Experience with AI-enabled finance platforms or predictive analytics for planning/forecasting. Exposure to cybersecurity, SaaS enterprise GTM, or global expansion models. Familiarity with usage-based pricing, multi-product GTM, or enterprise deal economics. Experience supporting pre-IPO or post-IPO operating rhythms. Background in consulting, strategic operations, or investor-facing finance roles. #LI-LG1 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. Base salary range: $140,300—$165,000 USD 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.

Automate and build tools to eliminate repetitive operational tasks while maintaining and scaling reliable software applications. Troubleshoot complex production issues and collaborate with stakeholders on infrastructure and deployment requirements. | Candidates must have 6+ years of overall experience, including 3+ years in software development and 2+ years in DevOps practices. Experience with Kubernetes, Terraform, Python or Go, and AWS is essential, along with strong collaboration and communication skills. | About the Role We're looking for a Software Backend Engineer with strong DevOps expertise to support our team managing restricted government cloud environments for federal customers. This role involves both building scalable infrastructure and supporting distributed systems, with a focus on reliability, performance, and compliance. As a Software Backend and DevOps Engineer, you'll troubleshoot production issues, enhance infrastructure, and ensure a smooth, secure experience for federal users. You’ll also collaborate with cross-functional teams to drive continuous improvements in deployment, monitoring, and system design. The ideal candidate: Brings a combination of technical depth and problem-solving skills Navigates ambiguity and works effectively in complex, distributed systems Collaborates across teams and escalates issues when needed to maintain progress Identifies and addresses inefficiencies in workflows and operations Contributes to clarity, accountability, and process improvement Key Responsibilities Automate and build tools to eliminate repetitive operational tasks and reduce toil Maintain and scale reliable software applications using DevOps best practices Build and enhance CI/CD pipelines for automated testing, builds, and deployments Optimize and maintain Kubernetes-based orchestration systems for performance and reliability Troubleshoot complex production issues across application, infrastructure, and distributed system layers Participate in on-call rotations and support incident response Collaborate with stakeholders and product teams on infrastructure and deployment requirements Ensure compliance with government cloud standards across applications and infrastructure Must-Have Qualifications Proven ability to maintain 99.99% uptime in production environments 6+ years of overall experience, including 3+ years in software development and 2+ years in DevOps practices. 2+ years of experience with Kubernetes, Terraform, Python or Go, and AWS 2+ years of experience working with distributed systems Experience in fast-paced or startup-like environments Strong collaboration and communication skills across cross-functional teams and divisions Ability to ramp up quickly and contribute in complex, large-scale environments Demonstrated leadership in incident management and operational reliability Nice-to-Have Qualifications Experience with FedRAMP compliance and government security requirements Track record of implementing secure CI/CD pipelines in restricted or regulated environments Familiarity with Redis, Kafka/PubSub, and relational databases #LI-NT1 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. Base pay range: $148,800—$175,000 USD San Francisco/New York Base pay range: $165,000—$195,000 USD 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.

Manage and grow the AWS alliance through co-selling, account mapping, forecasting, and strategic collaboration to drive sales growth. | 6+ years of alliance engagement with AWS co-sell experience, strong sales DNA, excellent communication, and ability to influence stakeholders. | About the Role Email and endpoints remain the top attack entry points for organizations globally. Socially-engineered business email compromise attacks have accounted for over $2.7 billion in actual losses last year alone, and this number continues to grow. This is why Abnormal Security has announced a strategic partnership with AWS in an effort to provide customers with better protection while reducing security spend and increasing operational productivity. As the ideal candidate for this role, you have a strong sales DNA, and a track record of 6+ years of success leveraging alliance partners to drive growth and sales productivity. You have extremely strong relationships with the alliance partners that you will be managing, which you have developed over the years by working for and with these partners. The role will require very high weekly levels of activity and engagement, driving collaboration alliance partners, and developing executive champions. This role will require someone that loves working in a fast paced environment with a growth mindset. We’re looking for someone that knows how to build strategic relationships as well as know how to maintain them. They will leverage their experience in being an expert alliance manager to oversee the AWS alliance. They thrive in working collaboratively, communicate clearly, and coordinate activities both internally and with the partner to ensure alliance success. What You Will Do • Facilitate and manage co-selling opportunities, account mapping and other sales engagements between AWS and Abnormal sales teams • Grow engagement with Abnormal through account mapping • Track all opportunities, pipeline and bookings to provide forecasts and funnel management reports • Assist with providing content for AWS sales enablement and Abnormal training curriculum • Develop the annual and quarterly plan & performance goals and provide support and coordination for activity with AWS • Provide an escalation point for pre-sales and post sales issues for any activity with the partner • Identify potential alignment points with local/national channel partners • Help provide insight in the support of email security events and attend/participate in the events What You Bring • 5+ years of alliance engagement, experience in a co-sell environment with AWS is desirable • Excellent written and verbal communication skills • Strategic thinker who is able to get to work quickly and execute independently. • Ability to effectively influence both internal and external stakeholders across all levels of the organization • Deep curiosity, excellent listening skills, and ability to get things done in a collaborative team environment • Technical knowledge in email security is desired, but not a must • A passion for Abnormal's mission and the success of our customers, partners, and community 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. Base salary range: $193,840—$228,000 USD 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 and architect scalable machine learning detection systems, mentor teams, and drive ML lifecycle from data to deployment for cybersecurity attack detection. | 8+ years in ML engineering with production experience, strong theoretical ML knowledge, Python and ML frameworks expertise, BS degree in relevant field, and leadership in ML projects. | About the Role Abnormal AI is looking for a Staff Machine Learning Engineer to join the Message Detection - Attack Detection team. At Abnormal, we protect our customers against nefarious adversaries who are constantly evolving their techniques and tactics to outwit and undermine the traditional approaches to Security. That’s what makes our novel behavioral-based approach so…Abnormal. Abnormal has constantly been named as one of the top cybersecurity startups and our behavioral AI system has helped us win various cybersecurity accolades resulting in being trusted to protect more than 17% of the Fortune 1000 ( and ever growing ). In a landscape where a single successful attack can lead to financial losses of millions of dollars, the Attack Detection team plays the central role of building an extremely high recall Detection Engine that can operate on hundreds of millions of messages at milliseconds latency. The Attack Detection team’s mission statement is to provide world-class detector efficacy to tackle changing attack landscape using a combination of generalizable and auto trained models as well as specific detectors for high value attack categories. This role is central to our mission of protecting the world’s largest enterprises. You will be responsible for reasoning about the gaps in our multi-layered detection system and proposing generalizable ML solutions. You will have a significant impact on our technical roadmap, guiding how our diverse set of detection models—spanning behavioral analysis, natural language understanding, and deep learning systems—work in concert. This is a unique opportunity to shape the future of our ML architecture, from evolving our core training and deployment strategies for a global infrastructure to defining how our core ML capabilities can be exposed as scalable services to power other products across the company. What you will do Serve as a technical leader and subject matter expert, providing architectural guidance and mentorship across multiple machine learning workstreams. Architect and design generalizable ML systems to address the most critical gaps in our detection capabilities, moving beyond incremental improvements. Reason holistically about our entire detection engine, defining the architectural vision for how different classes of models—from heuristic and behavioral to complex deep learning systems—should integrate and operate. Drive the technical roadmap for foundational, long-term projects, such as evolving our global model training paradigms and creating centralized ML capabilities that can be leveraged as platforms by other teams. Provide technical mentorship and feedback on ML decisions across different workstreams, elevating the performance of the entire team. Own the end-to-end ML lifecycle: from data analysis, feature engineering, and model prototyping to working with infrastructure teams on productionization, deployment, and monitoring of large-scale models. Investigate complex model performance issues, applying a deep theoretical understanding of machine learning and deep learning to diagnose and resolve them. Continuously adapt our systems to new, unseen attacks by developing and refining our automated model retraining and evaluation pipelines. Must Haves 8+ years of experience designing and building high-impact, customer-facing machine learning applications. Proven experience working on ML at scale with direct product impact in mature ML industries such as recommendation systems, ad tech, quantitative finance, or fraud detection. Strong grasp of the theoretical limitations of deep learning models and a systematic approach to investigating and debugging poor model performance. Demonstrated experience in the productionization of large-scale ML models in fast-feedback environments. Ability to reason about abstract system gaps and propose generalizable, architecturally sound ML solutions, not just point fixes. Expertise across the entire ML lifecycle, from data exploration and feature engineering to model deployment and online scoring. Fluency in Python and ML frameworks like Scikit-learn, PyTorch, or TensorFlow. BS degree in Computer Science, Applied Sciences, Information Systems, or a related engineering field. Nice to Haves MS or PhD degree in Computer Science, Electrical Engineering, or another related engineering/applied sciences field. Experience leading multi-quarter, cross-functional ML projects. Experience with MLOps tools and building scalable data pipelines. This position is not: A research-oriented role that's two-steps removed from the product or customer #LI-ML1 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. Base salary range: $229,500—$270,000 USD 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.

The Senior Financial Analyst will lead corporate-level financial modeling and systems optimization, enhancing decision-making through advanced tools. Responsibilities include building driver-based models, improving reporting workflows, and supporting scalable planning processes. | Candidates should have 3+ years of FP&A or finance experience with strong modeling skills, particularly in Pigment or similar tools. Proficiency in Excel, SQL, and data integration principles is essential, along with strong analytical and problem-solving abilities. | About the Role Abnormal AI is hiring a Senior Financial Analyst, Corporate Finance to join our growing Finance team. This role will be pivotal in leading corporate-level financial modeling and systems optimization, enabling better decision-making through best-in-class tools and frameworks. You'll be a core contributor in building and managing driver-based models in Pigment, improving reporting workflows, and supporting scalable planning processes. You’ll help shape financial narratives for executive leadership, build models to evaluate business performance and scenarios, and lead process improvements in reporting and planning systems like Pigment. The ideal candidate has strong FP&A or consulting experience with a passion for systems, data structure, and model building. What You Will Do Serve as a key thought partner on system integrations, data flows, and planning tools Manage and enhance FP&A systems, with a focus on Pigment or similar tools, to improve reporting automation and planning workflows. Design and implement automation in reporting, planning, and dashboarding to improve finance team efficiency Champion continuous improvement in financial processes, tools, and internal controls. Pioneer AI solutions for the FP&A team, focused on building automation & efficiency into Pigment forecasting Build and maintain robust, driver-based financial models to support long-range planning, corporate budgeting and forecasting, and scenario analysis. Lead month-end close and variance analysis processes, ensuring accuracy and insightful commentary on corporate results. Partner with Accounting, Strategy, and Business Operations to deliver timely, high-quality management reporting and financial insights. Develop and maintain executive and Board-level reporting packages to surface business performance, risks, and opportunities Must Haves 3+ years of FP&A or Finance experience, with a focus on modeling, forecasting, and financial systems. Advanced modeling skills and experience building scalable models in Pigment, Anaplan, or similar tools (strong preference for Pigment) Proficiency in Excel, SQL, and data integration principles for financial systems Strong analytical and problem-solving skills, with the ability to distill complex data into actionable insights. Demonstrated experience supporting financial planning systems, data management, and reporting automation High level of ownership and ability to thrive in a fast-paced, remote work environment Clear, confident communicator with strong collaboration skills across departments Nice to Have Experience with AI, automation, or analytics tools integrated into finance workflows Familiarity with SaaS business models, especially in cybersecurity or high-growth tech environments Prior experience in consulting, banking or other similar industries. #LI-AW1 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. Base salary range: $114,800—$135,050 USD 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.

Own and deliver SDR onboarding and enablement programs, provide coaching, collaborate with leadership and marketing to optimize sales workflows and messaging, and monitor SDR performance data. | 2+ years in sales development or quota-carrying sales role, experience with value-based sales methodologies, knowledge of business and technology challenges preferably in cybersecurity, strong communication skills, and data-driven approach. | About the Role Abnormal AI is looking for a Sales Enablement Manager to help optimize and accelerate the performance of our global SDR organization. In this role, you’ll own onboarding, training, and coaching programs that ensure SDRs are equipped with the skills, tools, and best practices needed to generate world-class pipeline. You’ll collaborate with GTM leadership, Marketing, and Operations to refine workflows, improve messaging, and drive an outbound culture of excellence. Who you are You have hands-on experience as a Sales Development Representative and/or SDR Manager and are passionate about pipeline generation. You bring proven sales development methodologies, best practices, and coaching techniques to help develop the next generation of top-performing SDRs. You’re data-driven, collaborative, and motivated by improving team effectiveness through enablement, training, and process optimization. You thrive in dynamic environments and are eager to help SDRs succeed at scale What you will do Own and deliver the SDR onboarding program, including curriculum development, live classroom sessions, and virtual training Design and lead ongoing enablement programs to strengthen inbound and outbound pipeline generation Facilitate monthly in-person bootcamps in partnership with Enablement leadership to accelerate onboarding and development Provide 1:1 coaching, support SDR skills development, and contribute to best-practice sharing across the team Collaborate with GTM Operations to identify and resolve workflow friction points Partner with GTM leadership and Marketing to ensure messaging effectiveness and alignment on campaigns and sequences Train SDRs on the sales technology stack (Outreach, Salesforce, Nooks, etc.) and optimize adoption of tools and processes Monitor SDR performance data to surface trends, highlight strong behaviors, and identify areas for improvement Support the shift toward a high-performing outbound culture and strengthen SDR/AE alignment on named accounts Must Haves 2+ years in Sales Development or a quota-carrying sales role Experience with value-based sales methodologies (e.g., MEDDIC, Force Management) Knowledge of business and technology challenges, preferably in email security or cybersecurity Strong communication and presentation skills, with the ability to influence and build consensus in a remote environment Data-driven approach with experience using metrics to optimize performance Demonstrated ability to learn quickly and adapt to diverse business priorities #LI-MP1 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. Base salary range: $93,500—$110,000 USD 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. Base pay range: $93,500—$110,000 USD San Francisco/New York Base pay range: $93,500—$110,000 USD 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.

The Contract Recruiting Coordinator will partner with Recruiters, Hiring Managers, and Candidates to schedule and confirm interview requests efficiently. They will ensure a positive candidate experience and maintain effective communication throughout the recruiting process. | Candidates must have 2+ years of experience in recruiting coordination or a similar role, preferably in a tech/SaaS environment. They should possess impeccable communication skills and proficiency with an ATS, with Greenhouse being preferred. | About the Role Abnormal AI is looking for a motivated and proactive Contract Recruiting Coordinator to join the team for a 6-month contract! You will play an important role in the success of recruiting and candidate experience at Abnormal. This role requires attention to detail and the uncanny ability to juggle multiple high-priority requests while interfacing professionally with people inside and outside the company. Not only will you play a huge role on our team, but across all teams as we grow. This is an amazing opportunity for someone passionate about recruiting and growing their career. What you will do Partner with Recruiters, Hiring Managers, and Candidates to schedule, coordinate, and confirm interview requests with speed and efficiency Communicate well and maintain a high level of confidentiality at all times, both internally and externally Ensure all candidates have a world-class and positive experience from start to finish, by providing a smooth, engaging, and efficient process Develop strong candidate and stakeholder relationships (Hiring Managers, Recruiting, etc) and maintain effective communication channels Solve scheduling conflicts and help expedite the interview process when faced with roadblocks Must Haves 2+ years of experience in recruiting coordination or similar role in a fast-paced environment (preferably in tech/SaaS) Experience managing a high volume of scheduling requests Impeccable verbal and written communication Proficiency within an ATS; Greenhouse preferred Nice to Have Pacific Time Zone location preferred Experience with Jira or similar ticketing system Experience using ModernLoop or similar scheduling software Tech-savvy, comfortable with G-suite and Slack #LI-CG1 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.