Abnormal

Manage strategic customer relationships, drive adoption and retention, and collaborate across teams to ensure customer success. | 8+ years in enterprise SaaS or customer success, experience managing complex relationships, technical familiarity with networking and security, proficiency in CRM tools, and a relevant degree or experience. | About the Role As a Senior Customer Success Manager, you will independently manage strategic customer relationships and ensure long-term value realization across a portfolio of mid-market and enterprise accounts. You will lead success planning, drive adoption and engagement, and mitigate risk while collaborating cross-functionally with Product, Engineering, Sales, and Support. Your work will have a direct impact on retention, satisfaction, and account growth, and you’ll contribute insights to help evolve customer and internal processes. Who You Are Confident operating independently, navigating strategic accounts, and aligning customer needs with organizational goals Comfortable managing technical and strategic issues, leveraging internal partnerships to drive outcomes Effective communicator with the ability to present complex ideas clearly across a range of audiences Adaptable and proactive in dynamic, fast-paced environments with a continuous improvement mindset What You Will Do Manage strategic customer relationships post-sale, focusing on adoption, retention, and value delivery with minimal oversight Deliver outcome-oriented QBRs/EBRs and lead success planning to align customer goals with platform capabilities Drive platform adoption and feature engagement through best practices, enablement, and education on roadmap developments Monitor account health using data-driven insights; proactively identify risks and lead coordinated mitigation efforts Resolve complex escalations with timely, clear communication and a focus on long-term customer trust and satisfaction Collaborate with Sales, Engineering, and Support to influence renewal and expansion outcomes Represent the customer voice internally, providing structured feedback to Product and other teams Support knowledge sharing and contribute to internal process development or mentoring where relevant Must Haves 8+ years of experience in enterprise SaaS, with at least 3 years in Customer Success, TAM, or support roles Proven track record managing complex customer relationships, including executive-level stakeholders Strong communication, analytical, and problem-solving skills with an emphasis on delivering measurable outcomes Technical familiarity with internet and networking technologies; experience with security products is a plus Proficiency in CRM and support tools such as Salesforce and Jira Bachelor’s degree in a technical field (e.g., Computer Science, Engineering) or equivalent professional experience #LI-EM3 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.

Sell cybersecurity solutions to mid-market accounts, prospect and generate new business, and collaborate with internal teams to ensure customer success. | Experience in sales, technical understanding of cybersecurity, prospecting skills, and ability to manage the full sales cycle. | About the Role Abnormal Security is looking for a Mid-Market Account Executive to join our Sales org. The Mid-Market sales team is responsible for bringing new, small to medium-sized business into Abnormal’s portfolio of customers. This is a full-cycle sales role, working the deal cycle from prospect to close for accounts located in your territory. The ideal candidate will have a hunter mentality, experience in & a passion for cybersecurity, team selling experience, and be ready to hit the ground running. What you will do Sell Abnormal security solutions to your defined territory with the goal to overachieve new annual recurring revenue quota Work Mid Market accounts (<3k mailbox organizations) from initial conversations through signing a contract and up-selling once they’re a customer. Prospect and generate new business opportunities with Mid Market accounts (<3k mailbox organizations) to supply enough pipeline for them to hit sales targets. Work with Customer success to ensure a timely renewal and expansion sale opportunities 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. Must Haves Ability to hunt: a disciplined approach to early pipeline development. Comfortable and have demonstrated ability to prospect into Mid-Market accounts with the ability to leverage/ balance the pillars of demand generation: AE prospecting, Marketing, Channel, and Customer referrals. Good qualifier: Ability to uncover/discover customer problems and pains Good presenter: the ability to present and demonstrate value based off customer pain points. Disciplined in sales methodology / time management: Ability to systematically execute a disciplined sales process that can be repeated in parallel without sacrificing quality 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 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, Product and Customer Success. Cultural fit: VOICE Velocity to outpace attackers and outpace our competition Ownership to empower new leaders to step up and take action Intellectual Honesty to uncover the best ideas and the right actions Customer Obsession to focus us on what is most valuable Excellence to achieve our ambition of being the best Nice to Haves 2+ years of experience selling in cybersecurity 4 Years in an individual contributor role MEDDIC, MEDDPICC, or Command of the Sale sales methodology training #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: $85,000—$100,000 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.

Owns product strategy, roadmap, and outcomes for complex product areas, leading cross-functional teams from concept to adoption, and shaping product strategy and GTM tactics. | 7+ years of product management experience in software, with a focus on technical products, collaboration with engineering, and data-driven decision making. | Senior Product Manager About the Role Abnormal Security is looking for an ambitious and growth-minded Senior Product Manager to drive innovation across our flagship product lines. At Abnormal, we help customers—from Global 2000 enterprises to small and medium-sized businesses—stay safe from complex, cutting-edge cyberattacks that can cause financial loss and disrupt business operations. Our AI-native approach to email security, account takeover detection, and adjacent security use cases has made us one of the fastest-growing cybersecurity companies in the world. As a Senior Product Manager, you are relied upon to own product definition, set initial product strategy, and build a 12‑month roadmap for one complex or multiple moderately complex product areas. You will lead cross-functional teams across Engineering, Design, Data, and GTM, and be the most knowledgeable person in the company for your product domains—trusted to represent them to leadership, GTM, and customers. This is a high-ownership, high-autonomy role for a PM who can move seamlessly between customer problems, technical and AI-focused tradeoffs, and business outcomes, while raising the bar for product quality and execution across the organization. What You Will Do Own strategy, roadmap, and outcomes for complex product areas Define and evolve a 9–12 month roadmap for one or more complex, high-impact product surfaces, ensuring clear prioritization against customer value, security outcomes, and business impact. Frame and solve high-ambiguity customer problems Run discovery, design partnerships, and structured feedback programs to deeply understand customer pain, synthesize insights, and translate them into crisp problem statements, product briefs, and measurable outcomes. Lead cross-functional execution from concept to adoption Drive the end-to-end product lifecycle—from problem framing and PRDs to launch, instrumentation, and iteration—partnering closely with Engineering, Design, Data, Sales, and Customer Success to ship high-quality features at velocity. Shape product strategy and GTM tactics Contribute to divisional strategy and GTM plans, influencing how we position the product, sequence major initiatives, and tell the value story to customers, prospects, and internal stakeholders. Own metrics, experimentation, and continuous improvement Define and track KPIs for your product lines (e.g., adoption, engagement, incident reduction, revenue impact), run experiments, and use data to refine direction and inform investment decisions. Represent your product externally and with leadership Serve as the domain expert for your product areas in customer calls, escalations, executive reviews, and roadmap discussions—communicating clearly, managing tradeoffs, and building trust across the organization. Lead in an AI-native way of working Use AI tools (e.g., ChatGPT/Claude, v0, analytics platforms) and rapid prototyping to accelerate discovery, research, documentation, and UX exploration—raising the standard for how product work gets done at Abnormal. (Optional, depending on role) Mentor or manage other PMs In some roles, you may manage 1–2 PMs or mentor junior PMs, contributing to Abnormal’s product management craft, R&D operating system, and hiring pipelines. Must-Have Qualifications 7+ years of product management experience in software, with a strong track record of owning complex product areas end-to-end in B2B SaaS or similarly technical domains. Proven experience working on deeply technical products, collaborating closely with engineering on architecture, scalability, or AI/ML–driven features, and reasoning through technical tradeoffs and constraints. Demonstrated ability to own product strategy, definition, and roadmap for a product line or multiple complex surfaces—including problem framing, opportunity sizing, prioritization, and success metrics. Strong analytical and problem-solving skills, with comfort using data (dashboards, experiments, or SQL/analysis in partnership with Data) to inform decisions and refine product direction in ambiguous spaces. Excellent communication and cross-functional leadership, with the ability to drive alignment across Engineering, Design, GTM, and executives, and to represent the product in high-stakes or customer-facing scenarios. High ownership, operational excellence, and attention to detail across documentation, planning, stakeholder management, and launch execution. A growth mindset and willingness to learn quickly in a fast-paced, AI-native environment, including integrating new tools and workflows into your day-to-day product practice. Nice-to-Have Qualifications Experience in enterprise SaaS / B2B environments, ideally in cybersecurity, security operations, identity, posture management, or adjacent technical domains. Prior experience working as a software engineer, data scientist, or similarly technical role, or equivalent hands-on experience with complex distributed systems or AI-driven products. Experience with data analysis and experimentation (e.g., comfort working with analytics tools, experimentation platforms, or SQL in partnership with Analytics). Familiarity with AI-native workflows and rapid prototyping tools (e.g., Claude/ChatGPT, v0, Figma) to speed up discovery, ideation, and validation. Background working closely with GTM teams (Sales, Marketing, Customer Success, Support) on launches, enablement, and customer-facing messaging and demos. Why You’ll Thrive at Abnormal You’ll thrive in this role if you: Want to own a portfolio of product lines and their KPIs, and be accountable for meaningful customer and business outcomes—not just feature delivery. Enjoy working at the intersection of AI, security, and user experience, helping customers stay ahead of sophisticated threats while keeping products intuitive and impactful. Value high trust and high autonomy, and are excited to help shape both product strategy and the broader product management craft as Abnormal scales. If you’re ready to own high-impact product lines, lead in the age of AI, and grow alongside a company building the future of cybersecurity, we’d love to talk. #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 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 product definition, roadmap, and execution for security-related AI products, collaborating with cross-functional teams to deliver impactful features. | 3+ years in product management, experience with technical products, strong analytical skills, and ability to work with engineering teams. | Product Manager II About the Role Abnormal Security is seeking an ambitious, growth-minded Product Manager II to drive innovation across our AI-native security platform. At Abnormal, we help customers—from Global 2000 enterprises to small and medium-sized businesses—stay safe from sophisticated cyberattacks that can cause financial loss and disrupt business operations. Our AI-driven approach to email security, account takeover detection, and adjacent security use cases has made us one of the fastest-growing cybersecurity companies in the world. As a Product Manager II, you will be relied upon to own product definition, customer feedback intake, and multi-quarter roadmap planning for one complex or multiple moderately complex product areas. You’ll collaborate closely with Engineering, Design, Product leadership, and GTM teams to ship high-quality features, shape product strategy, and deliver measurable customer and business impact. This is a high-ownership, high-autonomy role for a PM who can move seamlessly between customer problems, technical tradeoffs, and business outcomes. What You Will Do Own product definition and roadmap for your areas of responsibility Define clear problem statements, success metrics, and product requirements for one complex or multiple moderately complex product surfaces, and maintain a 2–3 quarter roadmap that aligns with division and company strategy. Drive discovery informed by customer and market insight Partner with customers, field teams, and internal stakeholders to deeply understand user needs, security pain points, and market trends, turning them into clear product hypotheses and prioritized opportunities. Lead cross-functional execution from concept to launch Partner with Engineering, Design, Data, and GTM teams to scope solutions, make tradeoffs, manage timelines, and ensure features launch with high quality and on time. Collaborate on product strategy and positioning Contribute to product strategy for your domains, influencing how we sequence investments, differentiate in the market, and tell a compelling value story to customers and the field. Champion metrics, experimentation, and continuous improvement Define and track product KPIs (adoption, engagement, retention, incident reduction, etc.), analyze outcomes, and drive data-informed iterations to improve customer value and business impact. Partner closely with GTM and customer-facing teams Work with Product Marketing, Sales, Customer Success, and Support to ensure successful launches, clear enablement, and tight feedback loops from the field back into the roadmap. Leverage AI and modern tooling for speed and clarity Use AI-native tools (e.g., ChatGPT/Claude, v0, analytics platforms) to accelerate research, documentation, prototyping, and decision-making, setting a strong execution and craft bar for the team. Must-Have Qualifications 3+ years of product management experience in software, preferably in B2B SaaS or other technical domains. Proven experience working on highly technical products, collaborating closely with engineering teams, and reasoning about technical tradeoffs and constraints. Demonstrated ability to own a product area end-to-end: synthesizing customer feedback, defining requirements, prioritizing a roadmap, and driving execution across at least one full product or major feature lifecycle. Strong analytical and problem-solving skills, with the ability to structure ambiguous problems, define success metrics, and make well-justified decisions using both qualitative and quantitative inputs. Excellent communication and collaboration skills, with a track record of working effectively with Engineering, Design, and GTM partners, and presenting clearly to both technical and non-technical stakeholders. High ownership, attention to detail, and operational excellence across planning, documentation, and execution. A growth mindset and comfort operating in a fast-paced, evolving environment, with a bias toward learning, iteration, and continuous improvement. Nice-to-Have Qualifications Experience in enterprise SaaS / B2B environments, especially with security, infrastructure, or platform products. Prior experience in cybersecurity, security operations, or adjacent domains (e.g., identity, posture management, email security). Background as a software engineer or other deeply technical role, or equivalent hands-on experience with complex technical systems. Experience building platform capabilities (e.g., RBAC, notifications, shared services, extensible APIs) that are consumed by multiple product teams or customer personas. Familiarity with tools such as Jira, Confluence, analytics platforms, Gong, Salesforce, and modern AI/UX prototyping tools. Why You’ll Thrive at Abnormal You’ll thrive in this role if you: Enjoy owning meaningful product outcomes and becoming the most knowledgeable person in the company for your areas of ownership. Love working at the intersection of AI, security, and user experience, and want to help customers stay ahead of sophisticated threats. Value high trust, high autonomy, and want to help shape both product strategy and the craft of product management as Abnormal continues to scale. If you’re excited to build category-defining security products in an AI-native company while growing your impact and scope as a Product Manager, we’d love to talk. #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: $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.

Drive new business growth by prospecting, qualifying, and closing cybersecurity solutions within a defined territory. | At least 2 years of cybersecurity sales experience, 4+ years in an individual contributor role, and strong pipeline management skills. | About the Role Abnormal AI is seeking a Mid-Market Account Executive to join its dynamic Sales organization covering Iowa. This team is responsible for driving new business growth by acquiring small to medium-sized customers and expanding Abnormal’s footprint in the market. This is a full-cycle sales role, where the Account Executive will own the entire sales process, from initial prospecting through to deal closure, within a defined territory. The ideal candidate will bring a strong hunter mindset, a genuine passion for cybersecurity, experience collaborating in team-selling environments, and the drive to make an immediate impact. What you will do Sell Abnormal security solutions to your defined territory with the goal to overachieve new annual recurring revenue quota Work Mid Market accounts (<3k mailbox organizations) from initial conversations through signing a contract and up-selling once they’re a customer. Prospect and generate new business opportunities with Mid Market accounts (<3k mailbox organizations) to supply enough pipeline for them to hit sales targets. Work with Customer success to ensure a timely renewal and expansion sale opportunities 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. Must Haves Based in Iowa or Illinois 2+ years of experience selling in cybersecurity 4 Years in an individual contributor role Disciplined pipeline generation across channels (prospecting, marketing, referrals, partners) Strong at qualifying needs and presenting ROI-driven value to stakeholders Executes a repeatable sales process with focus and time management Navigates internal and customer buying processes effectively Gathers and applies customer insights to improve execution Thrives in early-stage, resource-constrained environments Collaborates cross-functionally (SEs, Marketing, Product, CS) Nice to Haves MEDDIC, MEDDPICC, or Command of the Sale sales methodology training #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: $90,000—$100,000 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.

Support enterprise customers by resolving technical issues related to email security and SaaS platforms, collaborating with engineering, and creating knowledge base content. | 4+ years in technical support roles, knowledge of email security, SaaS platforms, cloud ecosystems, log analysis, and support tools. | About You You’re an experienced, customer-obsessed technical support professional with a passion for solving complex problems in high-stakes environments. With 4+ years of experience, you’ve developed a track record of supporting enterprise customers, driving technical investigations, and advocating for continuous product improvement. You're energized by the evolving threat landscape in email and SaaS security, and you’re excited to support a platform that uses behavioral AI to stop the attacks others miss. You're equal parts communicator, troubleshooter, and customer champion—committed to delivering exceptional support and building customer trust at every step. What You Bring: 4+ years in technical support roles, ideally in cybersecurity, enterprise SaaS, or API-driven platforms. Strong knowledge of email security fundamentals, SaaS platforms, and cloud ecosystems like Microsoft 365, Google Workspace, Slack, Okta, Splunk, Crowdstrike, Cortex SOAR, Rest API or Zoom. Proven ability to debug complex technical issues, analyze logs, and collaborate cross-functionally with Engineering and Product teams. Excellent written and verbal communication skills, with the ability to explain technical concepts to both technical and non-technical stakeholders. Familiarity with support and collaboration tools such as Salesforce, Jira, and Confluence. A mindset for continuous learning, efficiency, and improving both the customer experience and internal support processes. Experience using AI tools (e.g., GPT-based assistants, internal chatbots, or AI-powered support platforms) for troubleshooting or prompting is a strong plus. In This Role, You Will: Act as a trusted L1 technical advisor for enterprise customers using Abnormal’s Cloud Email Security, AI Security Agents, and SaaS Security. Own and resolve inbound support tickets—including configuration issues, API questions, behavioral false positives, and threat investigations. Provide customers with clear, timely updates, root cause insights, and solution recommendations that reinforce product confidence and trust. Collaborate closely with Engineering to ensure timely, high-quality resolutions and robust post-mortem documentation. Support seamless customer onboarding and engagement by working alongside Customer Success Managers. Create and maintain internal and external knowledge base content to improve case deflection and empower customers. Identify patterns in support interactions to flag recurring pain points and drive product improvements. #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: $51,000—$60,000 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.

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.

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.

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.

Define and deliver scalable data platform offerings on AWS, build tooling and services for online storage platforms, and collaborate cross-functionally to address scalability gaps. | 6+ years experience with data-intensive distributed systems, expertise in online data storage technologies, proven leadership in engineering initiatives, and mentoring skills. | About the Role Enterprises of all sizes trust Abnormal Security’s cloud products to stop cybercrime. These products are data intensive SaaS applications that depend on reliable, scalable, and secure access to data. This is where our Data Platform team fits in, offering scalable storage systems (PostgreSQL, OpenSearch, Redis, RocksDB, DynamoDB), as well as building services and tools to improve their operational excellence, and offering expertise to engineering and data science teams around usage of these systems at high scale. The Data Platform team is looking to add a Senior Software Engineer. The individual in this role will have the opportunity to partner closely with our existing world class team of engineers as we define and build the next generation data platform, and execute on ambitious and challenging technical projects to deliver value to Abnormal and its customers. There are a lot of opportunities for growth and career advancement – including growing into a Staff technical leadership role. What you will do Define and deliver our data platform offerings across AWS to empower and delight our internal engineering and data science customers. Build tooling and services for our online storage platforms that will deliver self-serve capabilities for the team’s stakeholders. Work cross functionally with other engineering teams to identify scalability gaps in their data intensive systems, owning key areas from our charter, building and executing on plans to mitigate them. Must Haves 6+ years of experience working on data-intensive applications and distributed systems. Strong background in building platforms, tools, and systems to serve the needs of engineering teams, empowering them to ship with velocity and reliability. Depth in one or more types of online data storage systems (relational, key-value, document-oriented, or columnar databases) either as an expertise provider or as a power user, in a high scale environment. Proven track record of being a change agent, defining and driving engineering initiatives that involve cross-team collaboration Expertise in one or more key areas of the Data Platform online storage tech stack - relational DBs, RocksDB, ElasticSearch, Redis, Kafka Excellent ability and strong desire to onboard and mentor other engineers. 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 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.