Abnormal

You will own the design and delivery of complex feature areas of the Development Infrastructure team offerings and work on the roadmap for this area. Your focus will be on building and maintaining CI/CD infrastructure and tools that streamline local development and enhance security for engineers. | Candidates must have 7+ years of professional experience as a hands-on engineer building backend systems and/or platforms, with at least 2+ years of experience working with Python. Experience with CI/CD systems and a customer-obsessed mindset are also essential. | About the Role Abnormal AI empowers businesses of all sizes to combat cybercrime through our innovative cloud products. To achieve our mission, we're building a suite of interconnected security solutions on a unified platform, designed to operate flawlessly in global data centers. The Development Infrastructure team plays a critical role in multiplying the impact of our product teams. We create an environment that fosters high-quality software development, and engineering excellence. This team has become instrumental in the success of our engineering organization. You'll be a critical player on our team, focusing on building and maintaining CI/CD infrastructure and tools that streamline local development and enhance security for our engineers. You are someone who: Thrives in a collaborative, fast-paced environment Possesses a passion for helping others build world-class systems Demonstrates exceptional teamwork skills Embraces continuous learning and enjoys tackling complex problems Some areas that you will be working on: Build systems. Local development. Security. What you will do Own design and delivery of complex features areas of the Development Infrastructure team offerings, and work on the roadmap for this area. Setup local development for engineers at Abnormal Security platform Develop and maintain CI/CD infrastructure and other build tools Provide Engineering with the tools and workflows to develop their changes reliably with less effort. Actively participate in stopping cybercrime with AI. Participate in planning, code reviews, standups, and other aspects of the software development life cycle Must Haves 7+ years of professional experience as a hands-on engineer building backend systems and/or platforms. 2+ years of experience working with Python. Experience working on or with teams like “Engineering Effectiveness”, “Engineering Productivity”, “Development Experience”, “Development Infrastructure” or similar. Customer obsessed: Working with our internal engineers to determine the Engineering Effectiveness roadmap. Meeting with customers to understand their needs. Experience working on complex and delivering projects end-to-end. Nice to Haves Experience with creating and maintaining CI/CD systems. Experience with Bazel.Experience with GO and security #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 salary range: $176,000—$207,000 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.

Translate complex technical requirements into program plans, drive cross-functional program execution, manage schedules and risks, and establish operational best practices for AI-driven SaaS products. | 1-3 years of Technical Program or Project Management experience, Bachelor's in Engineering or related field, experience with SaaS product lifecycle and SQL, and ability to communicate technical requirements effectively. | About the Role We’re looking for a Technical Program Manager who excels at driving execution for AI-driven SaaS products. This is a unique yet exciting opportunity to join and contribute to Abnormal's Research & Development Operating System. The creation of predictable, reliable, and standardized R&D processes is crucial for Abnormal's future strategy and success. To continue thriving in business, Abnormal is focused on developing several new products and features leveraging AI technologies. Technical Program Managers will provide a consistent framework and fabric of execution as a foundation for executing these products. In this role, you’ll partner closely with Product and Engineering teams to architect, define, and execute systems that ensure programs run predictably, efficiently, and with high visibility. The ideal profile thrives in an entrepreneurial environment, handling competing priorities and ambiguity with confidence. You have a growth mindset and are a quick and keen learner. In this job, you will bring these skills Project / Program Management & Organization: Excellent project manager with delivering large cross functional complex projects. Able to take complex technical requirements and translate into program plans. Exceptional communicator: Able to effectively collaborate with both technical and non-technical stakeholders in both written and verbal form. Works well in ambiguity: Ability to be a kickstarter especially in this initial Engine building phase. Ownership: Goal-oriented with an ownership mentality. Ability to self-organize, pull in resources with clear expectations and drive successful outcomes Continuous improvement: Committed to personal and professional growth, with a constant desire to improve, create value, and make your team better. Growth mindset and grit will be key traits to success. Technical Capabilities: Leverage a technical background to support engineering in technical design and gain credibility. Role Responsibilities Translate complex technical requirements from Product Engineering, Platform and Infrastructure Engineering, ML Engineering, and other critical stakeholders into program plans with clearly defined milestones, owners, and deadlines Drive programs and manage project schedules by determining dependencies across project teams, proactively addressing risks, and reporting progress to stakeholders to ensure on-time delivery of program deliverables Participate in technical strategy development and resource planning with engineering and product partners Build strong relationships with key stakeholders to drive alignment and progress toward shared goals Design, establish, and iterate on best practices and repeatable processes for operational excellence, including incident management and leading post-mortem's Qualifications: One to Three (1-3) years of professional experience in Technical Program or Project Management A Bachelor's degree in Engineering or a closely related discipline Experience with product lifecycle management and product operations best practices Experience working with SaaS products like Jira and an understanding of SQL Experience working in iterative, fast-paced weekly release environments, leveraging agile and scrum processes for planning, execution, and delivery." Capable of translating and communicating highly technical requirements in pragmatic & in a way that focuses on customer or business-impact Curiosity for AI-first security products and a desire to influence how they reach customers successfully. #LI-EM5 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—$135,000 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 new and existing enterprise sales within SLED accounts in Southern California, managing full sales cycle from prospecting to contract signing and upselling. | 8+ years direct enterprise sales experience in SLED accounts, proven track record closing complex deals, SaaS sales to security personnel, strong negotiation skills, and ability to work in early-stage company environments. | About the Role Nothing Exceptional Was Ever Normal. We’re the world’s fastest-growing cybersecurity company dedicated to making the cloud a safer place for business and our Enterprise SLED team is critical to continued success. As an Enterprise SLED Account Executive you are the spearhead of Abnormal AI relationships in SLED accounts across the Southern California region. You are responsible for all transactions within these accounts and help quarterback the sales ecosystem to support the customer’s success. Critical to this role’s success is the following experience and skills: About You Demonstrated 8+ years of direct (vs. overlay) enterprise sales experience prospecting and closing SLED accounts Proven track record of success closing new Account Logos, while also cross selling/ upselling and growing the existing customer account Skill in negotiating with large organizations and closing complex sales. Proven performer with consistent over quota performance and/or top 5% of sales org Conversant in key areas such as security, email, cloud, AI, etc. Experience selling subscription software/SaaS to CISOs and security personnel Success at a company that was early stage, underdog or was a new entrant with large competitors or similar (limited resources-build territory including: channel, tech partners, initial customer wins, etc.) BS/BA degree or equivalent work experience preferred Resides in territory (SoCal) In this job, you will bring these skills Disciplined approach to early pipeline development. Comfortable and have demonstrated ability to prospect into the region's largest enterprise accounts with the ability to leverage/ balance five pillars of demand generation: AE prospecting, SDR, Marketing, Channel and Customer referrals. Ability to uncover / discover customer problems pains Ability to present and demonstrate value based on customer pain points. Ability to systematically execute a disciplined sales process that can be repeated in parallel without sacrificing quality Ability to continually maintain data accuracy and consistency for all accounts & opportunities. Ability to develop and present a business case to a customer showing high ROI across different dimensions to multiple stakeholders Ability to extract, document and organize lessons, knowledge and information about customers Ability to close and maximize the ARR of Enterprise accounts. Ability to guide internal stakeholders through their own internal buying processes Grit; ability to find success in an early-stage environment without all the resources/teams available to much larger organizations Good understanding of how to leverage other departments including Sales Engineering, Marketing, SDRs, Product and Customer Success. Role Responsibilities Sell Abnormal AI solutions to SLED agencies with the goal to overachieve new annual recurring revenue quota Work Enterprise Accounts from initial conversations through signing a contract and up-selling once they’re a customer. Prospect and generate new business opportunities within Enterprise Accounts to supply enough pipeline for them to hit sales targets. Work with Customer success to ensure a timely renewal and expansion sale opportunities Continually document results and maintain accurate data across all sales systems (Salesforce, Highspot, Close Plan) Be a voice for the customer/prospect with internal teams including Sales Engineering/POV team, Product and Marketing to ensure appropriate prioritization to close more revenue. #LI-AK1 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: $136,000—$160,000 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 Channel Account Manager will drive partner-sourced pipeline and bookings by identifying and onboarding high-impact partners. This role involves collaborating with internal teams to develop recruitment strategies and maintaining Partner Account Plans with measurable objectives. | Candidates must have proven success in applying structured channel methodologies and a strong understanding of partner dynamics in the region. Strong communication skills and the ability to work cross-functionally are essential. | About the Role Abnormal AI is seeking a Channel Account Manager to join our Channel Management team. This role is pivotal in supporting our sales efforts by developing and managing key relationships with channel partners across the Northwest; ideally this role will be based remotely out of San Francisco. As part of a highly collaborative and detail-oriented team, you will build strong relationships with both national and regional partners. You’ll work cross-functionally with sales, marketing, and technical teams to align go-to-market strategies, drive partner engagement, and support the successful execution of joint sales efforts. Your ability to adapt to diverse stakeholder needs—from executives to technical staff—will be essential as you represent Abnormal's value in a competitive market. What you will do Drive partner-sourced pipeline and bookings by identifying and onboarding high-impact partners, including national, regional, and MSSP channels. Collaborate with internal channel and sales leadership to develop targeted recruitment and enablement strategies. Create and maintain Partner Account Plans with top partners, incorporating measurable sales, marketing, and enablement objectives. Coordinate demand generation activities with channel marketing to drive awareness and qualified leads. Align closely with regional sales teams to connect top prospects with suitable partners, facilitating measurable pipeline growth. Serve as a strategic liaison between Abnormal’s field leadership and partner executives, ensuring alignment and collaboration across organizations. Conduct regular training and knowledge-sharing sessions to ensure partner teams are fully equipped to position and sell Abnormal's offerings. Represent partner interests internally and advocate for high-quality execution of co-marketing, certification, and partner program initiatives. Take ownership of national partner relationships and drive quarterly planning and enablement to strengthen these engagements. Develop expertise in key areas of channel operations (e.g., deal registration, enablement programs, incentive platforms), and lead knowledge-sharing across the team. Must Haves Proven success applying a structured channel methodology to drive measurable outcomes. Experience working with and having a strong understanding of partner dynamics in the region. Strong communication and presentation skills, with the ability to clearly convey complex value propositions to a variety of audiences. Highly organized, with the ability to manage competing priorities and follow through on deliverables. Demonstrated ability to work cross-functionally with sales engineering, marketing, business development, and customer success teams. A proactive, solution-oriented approach, especially in dynamic or resource-constrained environments. Viewed as a trusted collaborator and strategic partner by internal stakeholders, capable of contributing to broader business discussions beyond core channel activities. #LI-VY1 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: $140,280—$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.

Drive sales of cybersecurity solutions to SLED enterprise accounts, manage the full sales cycle, develop pipeline, and collaborate with internal teams to maximize revenue. | 8+ years direct enterprise sales experience in SLED accounts, proven track record of closing complex sales, SaaS sales experience to CISOs, strong negotiation skills, and ability to work in early-stage company environments. | About the Role Nothing Exceptional Was Ever Normal. We’re the world’s fastest-growing cybersecurity company dedicated to making the cloud a safer place for business and our Enterprise SLED team is critical to continued success in 2024. As an Enterprise SLED Account Executive you are the spearhead of Abnormal Security relationships in SLED accounts across the Western Half of the United States. You are responsible for all transactions within these accounts and help quarterback the sales ecosystem to support the customer’s success. Critical to this role’s success is the following experience and skills: About You Demonstrated 8+ years of direct (vs. overlay) enterprise sales experience prospecting and closing SLED accounts Proven track record of success closing new Account Logos, while also cross selling/ upselling and growing the existing customer account in Southern Florida and Puerto Rico Skill in negotiating with large organizations and closing complex sales. Proven performer with consistent over quota performance and/or top 5% of sales org Conversant in key areas such as security, email, cloud, AI, etc. Experience selling subscription software/SaaS to CISOs and security personnel Success at a company that was early stage, underdog or was a new entrant with large competitors or similar (limited resources-build territory including: channel, tech partners, initial customer wins, etc.) BS/BA degree or equivalent work experience preferred Bilingual English / Spanish a plus In this job, you will bring these skills Disciplined approach to early pipeline development. Comfortable and have demonstrated ability to prospect into the region's largest enterprise accounts with the ability to leverage/ balance five pillars of demand generation: AE prospecting, SDR, Marketing, Channel and Customer referrals. Ability to uncover / discover customer problems pains Ability to present and demonstrate value based on customer pain points. Ability to systematically execute a disciplined sales process that can be repeated in parallel without sacrificing quality Ability to continually maintain data accuracy and consistency for all accounts & opportunities. Ability to develop and present a business case to a customer showing high ROI across different dimensions to multiple stakeholders Ability to extract, document and organize lessons, knowledge and information about customers Ability to close and maximize the ARR of Enterprise accounts. Ability to guide internal stakeholders through their own internal buying processes Grit; ability to find success in an early-stage environment without all the resources/teams available to much larger organizations Good understanding of how to leverage other departments including Sales Engineering, Marketing, SDRs, Product and Customer Success. Role Responsibilities Sell Abnormal security solutions to SLED agencies with the goal to overachieve new annual recurring revenue quota Work Enterprise Accounts from initial conversations through signing a contract and up-selling once they’re a customer. Prospect and generate new business opportunities within Enterprise Accounts to supply enough pipeline for them to hit sales targets. Work with Customer success to ensure a timely renewal and expansion sale opportunities Continually document results and maintain accurate data across all sales systems (Salesforce, Highspot, Close Plan) Be a voice for the customer/prospect with internal teams including Sales Engineering/POV team, Product and Marketing to ensure appropriate prioritization to close more revenue. #LI-LB2 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: $112,650—$132,500 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 secure, scalable data governance and security solutions, lead large projects enforcing security standards, and mentor junior engineers. | 5+ years software engineering experience, BS in related field, expertise in security/privacy, authentication/authorization, system design, and proficiency in Golang and Python. | About the Role Abnormal AI is seeking a Senior Software Engineer with strong passion for Security & Privacy to join the Data Security team. In this role, you will help protect customer data by implementing rigorous Security and Privacy standards along with robust governance practices. You will design, develop, and refine platform solutions that enforce strict Authentication, Authorization and Auditability (AAA) principles, ensuring all customer data access is properly verified, appropriately permitted, and comprehensively logged. The ideal candidate will have Practical Security mindset - ability to identify and address security vulnerabilities across the entire software development and operations lifecycle, delivering effective solutions that balance security with real-world business needs. Expertise in transforming Security & Privacy requirements into actionable technical strategies, leading projects from concept to completion with precision and impact. Expertise, passion, and creativity in implementing innovative, AI-native approaches in our technical solutions. Skill in fostering cross-team collaboration with product engineering teams to both seamlessly integrate Security & Privacy best practices into microservice architecture and eliminating implementation overhead for development teams. The potential to advance into a leadership role within the team, setting, owning, and delivering key initiatives for the Multi-Product Platform division that have a broad impact across multiple teams. What you will do Apply practical Security principles and AI-native strategies to technical design and development, balancing business requirements, engineering resources, and infrastructure cost. Architect and own AI-native workflows to provide direct leverage for the team. Lead and deliver large-scale projects for the Data Security team, enforcing Security & Privacy standards to support ongoing product and market expansion. Design and implement secure and scalable customer data governance frameworks that enable Security and Privacy by design. Reconcile Platform and Security & Privacy requirements, building a secure platform that empowers global engineering teams to deliver high quality software at high velocity. Actively mentor and support the growth of junior team members Must Haves BS degree in Computer Science, Electrical Engineering, Computer Engineering or other related engineering field. 5+ years of experience as a Software Engineer. Strong software development, CAP theorem, and system design tradeoffs. Experience with Authentication & Authorization and Data Security & Privacy problem space, best practices, and related technologies. Ability to differentiate must-have versus nice-to-have Security and Privacy requirements. Proven track record of leading complex projects and delivering high quality software. Experience with Golang and Python programming languages. Nice to Have Ability to convert business problems into technical deliverables. Ability to prioritize, articulate business tradeoffs, and cut scopes to deliver the most important business objectives in a timely manner. Experience leading small teams delivering multi-quarter projects or initiatives. #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 salary range: $176,000—$207,000 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 Software Engineer II will design, develop, and refine platform solutions that enforce strict Authentication, Authorization, and Auditability principles. They will also lead enhancements for the Data Security team and mentor junior team members. | Candidates must have a BS degree in a related field and at least 2 years of experience as a Software Engineer. Strong programming fundamentals and experience with Golang and Python are essential. | About the Role Abnormal AI is seeking a Software Engineer II who is a solid software developer with a strong interest in Security & Privacy to join the Data Security team. In this role, you will help protect customer data by implementing rigorous Security and Privacy standards along with robust governance practices. You will design, develop, and refine platform solutions that enforce strict Authentication, Authorization and Auditability (AAA) principles, ensuring all customer data access is properly verified, appropriately permitted, and comprehensively logged. The ideal candidate will have: Practical Security mindset - ability to identify and address security vulnerabilities across the entire software development and operations lifecycle. Ability to break down Security & Privacy challenges into practical technical solutions, and leading their successful implementation. Skill and passion for leveraging AI-native approaches to enhance team workflows and engineering practices. Opportunity to contribute to cross-team collaboration with product engineering teams to both seamlessly integrate Security & Privacy best practices into microservice architecture and eliminating implementation overhead for development teams Opportunity to grow into Senior Software Engineer on the team, taking on larger projects, driving greater impact, and assuming additional leadership responsibilities. What you will do Apply practical Security principles and AI-native workflows to effectively deliver technical solutions. Adopt and refine AI-native workflows to provide direct leverage for the team. Lead and deliver impactful enhancements for the Data Security team, enforcing Security & Privacy standards to support ongoing product and market expansion. Design and implement customer data governance solutions that enable Security and Privacy by design. Reconcile Platform and Security & Privacy requirements, building a secure platform that empowers global engineering teams to deliver high quality software at high velocity. Actively mentor and support the growth of junior team members Must Haves BS degree in Computer Science, Electrical Engineering, Computer Engineering or other related engineering field. 2+ years of experience as a Software Engineer. Strong Computer Science and programming fundamentals. Experience with system design and cloud infrastructure. Experience with Golang and Python programming languages. Proven track record of leading feature development and delivering high quality software. Nice to Have Knowledge of Authentication & Authorization and Data Security & Privacy problem space, best practices, and related technologies. Understanding of distributed computing, CAP theorem, and system design tradeoffs. Ability to differentiate must-have versus nice-to-have Security and Privacy requirements. #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 salary range: $148,800—$175,000 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.

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.

Design and execute software projects critical to Abnormal's core product while ensuring the stability and performance of backend services. Collaborate with various teams to enhance system efficiency and maintain the reliability of mission-critical systems. | A BS degree in a related field and 3+ years of experience in backend software development and distributed systems are required. Candidates should have experience with Go and/or Python, and be open to following coding practices and conventions. | About the Role Abnormal Security is seeking a Software Engineer to join the Message Infrastructure team. The Message Infra 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 Infra 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. 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 Infra 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-RT1 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: $148,800—$175,000 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.

Contribute to the design, development, and operation of core components of Abnormal’s data platform. Build tools and services that make it easy for other teams to adopt and scale data systems. | 1+ years of professional experience in software engineering is preferred, with solid programming skills in Python, Go, or a similar language. Candidates should have strong software engineering fundamentals and a curiosity to learn about relevant technologies. | About the Role Enterprises of all sizes trust Abnormal AI’s cloud products to stop cybercrime. These AI-native, data-intensive SaaS applications depend on fast, reliable, and secure access to massive datasets. That’s where the Data Platform team comes in: designing and operating scalable storage systems (PostgreSQL, OpenSearch, Redis, RocksDB, DynamoDB), batch and stream processing (Kafka, Spark), orchestration (Airflow, DBT), and more. We build and maintain the core infrastructure that powers Abnormal’s most data-heavy workloads, providing scalable, reliable, and efficient data platforms and services to all of engineering and data science. We also create tools that make this infrastructure simple to operate and integrate, enabling teams to deliver faster with confidence. We’re looking for a Software Engineer I who is eager to learn and ready to take on meaningful technical challenges. You’ll work alongside experienced engineers, contribute to ambitious projects, and grow your skills while helping to scale the systems that support Abnormal’s rapid growth. What you will do Contribute to the design, development, and operation of core components of Abnormal’s data platform. Build tools and services that make it easy for other teams to adopt and scale data systems. Help automate infrastructure and operations to improve reliability, performance, and scalability. Apply cutting-edge GenAI techniques to build smarter developer and operator experiences. Collaborate across engineering teams to solve scalability and reliability challenges. Take ownership of projects, delivering features end-to-end with guidance from senior engineers. What you bring 1+ years of professional experience in software engineering: backend, distributed systems, or infrastructure preferred. Solid programming skills in Python, Go, or a similar language (school, personal, or work experience all count). Strong software engineering fundamentals like data structures, clean code, testing, and debugging. Interest in learning about AWS, Databricks, and technologies in our stack (databases, streaming, orchestration). Curiosity, problem-solving skills, and a willingness to ask questions. Ability to work both independently and as part of a team, and strong communication skills. Nice to Have (but you can also learn here) Experience with one or more of: PostgreSQL, OpenSearch/Elasticsearch, Redis, RocksDB, Kafka, Spark, Airflow, DBT. Familiarity with cloud platforms (AWS, GCP, Azure). Exposure to large-scale or data-intensive systems. Why you’ll love it here You’ll be part of a high-impact team solving problems that matter. You’ll learn from and work with experienced engineers in a collaborative, supportive environment. You’ll get real opportunities for ownership and career growth early in your journey. You’ll help shape the future of our data platform at a fast-growing, AI-first company. 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.

Build and maintain data pipelines and dashboards to optimize infrastructure costs and support R&D metrics, collaborating with engineers and finance leadership. | 3+ years experience with large-scale data, proficiency in SQL, dbt, Python, strong data analysis and communication skills, and a quantitative bachelor's degree. | Join our R&D Engine team as a Data Analyst, where you will build and maintain core data pipelines and dashboards supporting a broad range of R&D metrics, with a primary focus on infrastructure cost optimization, alongside areas such as AI enablement, engineering productivity, and other critical initiatives. In this highly collaborative role, you'll work closely with engineers and finance leadership to define, track, and optimize the metrics that matter most for our organization's efficiency and innovation. Bringing your expertise in SQL, dbt, and Python, you will ensure our team can deliver high-frequency reporting, provide ad hoc analyses, and enable rapid feedback loops for cost and operational effectiveness. Your work will multiply our team's impact across all R&D initiatives. Key Responsibilities Build, enhance, and maintain data pipelines and dashboards that drive transparency and optimization within our infrastructure cost program (across AWS, Azure, and related platforms) Support reporting and data development across AI enablement, engineering productivity, product usage, and other R&D-focused initiatives Partner with engineers and technical stakeholders to define, track, and optimize actionable metrics; participate in metric design, not just execution Apply strong SQL, dbt, and Python skills to automate measurement, ensure data quality, and maintain reliable operational metrics Qualifications 3+ years of experience working with large-scale data in analytical or product-oriented environments, with a strong focus on data exploration, interpretation, and communication. Proficiency in writing complex SQL queries and building clean, reliable data models to support reporting and analysis. Hands-on experience using DBT (Data Build Tool) to transform and organize data for downstream analytics workflows. Strong grasp of data analyst best practices, including analysis reproducibility, validating results through testing and sanity checks, and communicating insights clearly to both technical and non-technical audiences. Experience with at least one programming language (e.g., Python or R) for data exploration, statistical analysis, and automating reporting workflows; familiarity with DBT and/or Databricks is a plus. Bachelor's degree in a quantitative field such as Data Science, Mathematics, Statistics, Computer Science, Information Systems, or a related discipline. Demonstrated ability to translate ambiguous business questions into structured analyses and data models optimized for insight generation. Strong track record of collaboration with cross-functional partners to deliver high-impact data solutions. Preferred but not required: MS degree in Data Science, Mathematics, Statistics, Computer Science, Information Systems or other related engineering field Experience integrating and analyzing cloud cost and operational datasets (AWS, Azure, Databricks) Experience with predictive modeling or statistical analysis techniques to support deeper insights and forecasting. Proficiency with business intelligence tools (e.g., Looker, Tableau, Power BI) to build intuitive dashboards and communicate insights effectively. #LI-RT1 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: $123,300—$145,000 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.

Manage customer relationships to drive adoption, retention, and growth by collaborating with internal teams and delivering strategic business reviews. | 2+ years in Customer Success, 5+ years in enterprise SaaS/product support, CRM proficiency, technical understanding of SaaS products, and a related technical degree or equivalent experience. | About the Role As a Customer Success Manager at Abnormal AI, you will serve as the primary liaison between customers and internal teams, focusing on successful onboarding, adoption, and ongoing value delivery. You will build and nurture strong customer relationships, align on business goals, and drive measurable outcomes through best practice adoption and strategic planning. You will proactively identify opportunities and risks to help customers maximize their investment and contribute valuable feedback for product improvements. Your role involves collaboration with cross-functional teams and maintaining customer satisfaction and retention. Who you are Experienced in managing post-sales customer relationships within a SaaS environment (2+ years in CSM role, 5+ years in enterprise SaaS or product support) Skilled at building trust and maintaining relationships with stakeholders at various organizational levels, including executives Action-oriented, analytical, and collaborative in approach to customer success and issue resolution Dedicated to delivering measurable customer value and ensuring satisfaction throughout the customer lifecycle Strong verbal and written communication skills, comfortable handling both strategic discussions and technical conversations Solid technical understanding of SaaS products, including internet technologies, networking, and email security solutions Proven track record of driving product adoption and supporting long-term customer growth What you will do Act as the main point of contact for assigned customers, developing strategic relationships and guiding platform adoption and success planning Deliver regular business reviews (QBRs/EBRs), clearly communicating ROI and aligning on success metrics to support retention and expansion Understand customers’ industries, goals, and challenges to provide tailored recommendations and align internal and external stakeholders on success objectives Promote awareness and usage of key platform features, provide ongoing education, and identify opportunities for expanded adoption Proactively monitor customer health, manage escalations, and collaborate with Product, Engineering, Support, and Sales teams to resolve issues and share actionable insights Maintain expert knowledge of the product roadmap and communicate relevant updates and enhancements to customers Coordinate with internal teams to develop and execute customer success plans, addressing risks before they impact engagement or satisfaction Must Haves Minimum 2 years experience in a Customer Success role, with 5+ years in enterprise SaaS or product support environments Proven ability to manage large customer portfolios and develop long-term relationships, including at the executive level Excellent communication, presentation, and organizational skills, capable of managing both strategic and technical conversations effectively Strong problem-solving skills and experience resolving escalations while maintaining a positive customer experience Proficiency with CRM and case management tools such as Salesforce and Jira Technical proficiency related to internet technologies, networking, and email security products Bachelor’s degree in Computer Science, Engineering, or a related technical discipline, or equivalent practical experience #LI-EM3 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: $119,040—$140,000 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.

Define and lead the product roadmap and strategy for AI-driven messaging security products, driving customer impact and business objectives. | 4+ years product management experience, enterprise SaaS background, technical product experience, strong communication skills, and ability to work with executives, engineers, and customers. | Abnormal AI is seeking a Product Manager to drive innovation across our flagship Messaging Security Products (MSP) Detection portfolio. Our mission is simple but critical: keep organizations of every size safe from the world’s most sophisticated email and messaging attacks. With an AI-native approach to email security, account takeover prevention, and productivity, we’ve become one of the fastest-growing security companies in history. The MSP Division is the foundation of our product portfolio, powering the core products and features that protect customers, streamline security workflows, and demonstrate the value of our detection capabilities. In this role, you’ll define the roadmap and strategy for customer-facing Detection products. You’ll lead initiatives like Custom AI Models—putting AI directly in the hands of customers to build tailored defenses—own our Email Productivity product to eliminate graymail and boost efficiency, and launch new explainability features that showcase the strength of Abnormal’s Detection Engine while empowering customer workflows. What You Will Do Own product definition & alignment for your areas, ensuring clarity and focus across teams. Lead roadmap planning and prioritize initiatives that deliver maximum impact to customers and the business. Shape product strategy, contributing to how we achieve higher-level business objectives. Deeply understand your products, tracking customer feedback, market signals, and adoption of new capabilities. Drive execution on key product areas: Custom AI Models – give customers the ability to design bespoke behavioral models tailored to their protection needs. Email Productivity – leverage Abnormal’s AI to eliminate graymail, streamlining inboxes and boosting productivity. Detection Explainability – build new products that showcase the power of Abnormal’s Detection Engine and empower customers with greater transparency. Must Haves 4+ years of product management experience Enterprise SaaS / B2B product background Experience with highly technical products Strong communication and collaboration skills, with comfort working with execs, engineers, and customers alike High bar for operational excellence and ownership Analytical thinker, able to reason through ambiguity and make justified, data-driven decisions Growth mindset and eagerness to learn quickly in a high-paced startup environment Nice to Have Prior experience working with security-focused AI/ML models Prior startup experience Analytical skills and intermediate to advanced data analysis skills (SQL, etc.) Prior experience prototyping with v0 or similar tools Prior experience working as a software engineer #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: $115,600—$136,000 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: $115,600—$136,000 USD San Francisco/New York Base pay range: $129,000—$151,800 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.

As a Software Engineer II in the Gen AI Group, you will build and integrate AI models and services into production systems. You will collaborate with senior engineers and stakeholders to translate requirements into technical solutions. | Candidates must have 2+ years of experience with Python and building complex backend systems. Familiarity with modern LLM platforms and strong understanding of prompt engineering principles are also required. | About the Role Enterprises of all sizes trust Abnormal Security’s cloud products to stop cybercrime. Stopping cybercrime requires agility, adaptability, and innovation, particularly in applying AI to adversarial challenges. The Gen AI Group (GAI) is developing next-generation AI-powered solutions that transform both our customer-facing products and internal applications. As a Software Engineer II in GAI, you’ll contribute to building and deploying advanced AI systems, working closely with senior engineers and technical leaders to deliver impactful solutions. This role provides the opportunity to work hands-on with cutting-edge AI/ML technologies, deepen your expertise, and grow toward greater technical ownership. About You Passionate about applying AI to solve meaningful, real-world problems. Excited to learn from experienced engineers while taking ownership of components and features. Comfortable working in dynamic environments and iterating quickly. Collaborative and eager to work across teams to deliver high-quality solutions. Motivated to grow your technical depth and broaden your exposure to AI-driven backend systems. What you will do AI Application Development: Build and integrate AI models, services, and pipelines into production systems, ensuring reliability and performance. Collaboration: Partner with senior engineers, product managers, and stakeholders to translate requirements into technical solutions. Prompt & LLM Engineering: Apply prompt engineering best practices and build applications on top of LLMs, agents, and Retrieval-Augmented Generation (RAG). Backend Development: Contribute to backend systems and services that power AI-driven features. Operational Excellence: Write clean, maintainable code, participate in code reviews, and follow best practices for testing, monitoring, and deployment. Continuous Learning: Stay up-to-date with advancements in AI and bring ideas back to the team. Must Haves 2+ years of experience with Python. Experience building and operating complex backend systems, services, or data pipelines. Hands-on experience with using(e.g., ChatGPT, Claude, Cursor). Experience with modern LLM platforms and libraries such as OpenAI/Anthropic API, Langchain, etc. Strong understanding of prompt engineering principles and practical experience building on top of LLMs and RAG. Nice to Have Experience with technologies in our stack (e.g., Airflow, Elasticsearch, REST APIs). Familiarity with CI/CD, DevOps, and infrastructure best practices. Experience with or interest in AI evangelism—sharing knowledge through documentation, workshops, or technical sessions. #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: $148,800—$175,000 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.

Drive partner-sourced pipeline and bookings, develop partner account plans, coordinate demand generation, and serve as a strategic liaison between sales and channel partners. | Proven channel methodology success, strong partner relationship skills, excellent communication, organizational skills, and ability to work cross-functionally. | About the Role Abnormal AI is seeking a Channel Account Manager to join our Channel Management team. This role is pivotal in supporting our sales efforts by developing and managing key relationships with channel partners across the Ohio Valley. As part of a highly collaborative and detail-oriented team, you will build strong relationships with both national and regional partners. You’ll work cross-functionally with sales, marketing, and technical teams to align go-to-market strategies, drive partner engagement, and support the successful execution of joint sales efforts. Your ability to adapt to diverse stakeholder needs—from executives to technical staff—will be essential as you represent Abnormal's value in a competitive market. What you will do Drive partner-sourced pipeline and bookings by identifying and onboarding high-impact partners, including national, regional, and MSSP channels. Collaborate with internal channel and sales leadership to develop targeted recruitment and enablement strategies. Create and maintain Partner Account Plans with top partners, incorporating measurable sales, marketing, and enablement objectives. Coordinate demand generation activities with channel marketing to drive awareness and qualified leads. Align closely with regional sales teams to connect top prospects with suitable partners, facilitating measurable pipeline growth. Serve as a strategic liaison between Abnormal’s field leadership and partner executives, ensuring alignment and collaboration across organizations. Conduct regular training and knowledge-sharing sessions to ensure partner teams are fully equipped to position and sell Abnormal's offerings. Represent partner interests internally and advocate for high-quality execution of co-marketing, certification, and partner program initiatives. Take ownership of national partner relationships and drive quarterly planning and enablement to strengthen these engagements. Develop expertise in key areas of channel operations (e.g., deal registration, enablement programs, incentive platforms), and lead knowledge-sharing across the team. Must Haves Proven success applying a structured channel methodology to drive measurable outcomes. Experience working with and having a strong understanding of partner dynamics in the region. Strong communication and presentation skills, with the ability to clearly convey complex value propositions to a variety of audiences. Highly organized, with the ability to manage competing priorities and follow through on deliverables. Demonstrated ability to work cross-functionally with sales engineering, marketing, business development, and customer success teams. A proactive, solution-oriented approach, especially in dynamic or resource-constrained environments. Viewed as a trusted collaborator and strategic partner by internal stakeholders, capable of contributing to broader business discussions beyond core channel activities. #LI-TY1 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: $140,280—$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.