Abnormal

Design and deliver sales enablement programs, coach sales teams, and collaborate cross-functionally to improve sales performance. | Extensive experience in sales or sales support, coaching or enabling sales teams, and proficiency with sales methodologies like MEDDIC. | About the Role This is a senior individual contributor role with high visibility and influence across the GTM organization, focused on accelerating seller ramp and improving in-seat performance through live deal coaching, high-impact training, and data-driven enablement. What you will do Coach and mentor new hires, in-seat sellers, and managers through live deal support, call reviews, and targeted feedback to improve execution, deal progression, and win rates. Design, refine, and deliver in-person and virtual enablement programs through Abnormal University that drive consistent application of sales methodology and value selling. Partner to deliver world-class onboarding for new GTM hires that accelerates time to productivity and builds confidence in Abnormal’s core sales motions, process, MEDDIC, and value framework. Partner with Sales, Enablement L&D, Marketing, and Product Marketing to prioritize and deliver sales plays, product assets, competitive intelligence, and case studies aligned to the sales cycle. Use performance data and field insights to identify gaps, prioritize enablement investments, and drive measurable improvements. Work cross-functionally with Sales, SDRs, Field Marketing, Channel, and ecosystem partners to strengthen team-based selling and territory execution. Expand just-in-time enablement by delivering best practices, content, and coaching to the field through the right channels at the right moments. Collaborate with GTM leadership to identify enablement gaps across the funnel and translate them into clear, actionable enablement roadmaps. Must Haves 5–10+ years in sales and/or a sales-supporting role with a demonstrated track record of individual success and/or developing others (for example, sales enablement, sales leadership, product marketing). Experience coaching or enabling enterprise or upper mid-market sellers, with credibility to influence experienced, high-performing sales teams. A genuine, innate desire to help others succeed, and a sense of accomplishment tied to the field’s performance as much as your own. Experience with sales methodologies and qualification frameworks such as Force Management and MEDDIC (or similar), and a practical understanding of how to apply them in live deals. A strong analytical mindset. You use data to diagnose performance, identify patterns (for example, stage conversion, ramp productivity, POV outcomes), and prioritize enablement efforts. You can clearly describe past examples of how you have used data to drive change. Outstanding communication and facilitation skills, including front of room presentations, editing, and writing, with high attention to detail. You are equally comfortable building enablement materials and delivering them live. Experience using modern sales and AI tools, with the ability to quickly learn and adopt new technologies. Willingness to travel approximately 20–30% to support in-person bootcamps at our Las Vegas training center and occasional offsite enablement needs. Nice to Have Experience working in a fast-paced, high-growth (pre-IPO) environment, thriving in ambiguity and wearing multiple hats. Comfort working with BI and analytics tools to interpret performance data and inform decision-making. #LI-ME1 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: $144,500—$170,000 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 strategic customer relationships, drive platform adoption, and mitigate risks to ensure customer satisfaction and retention. | 8+ years in enterprise SaaS or support roles, experience managing complex customer relationships, technical familiarity with internet and networking technologies, proficiency in CRM tools, and fluency in Spanish. | 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 • 25 % travel 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 • Fluent in Spanish #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: $139,440—$164,000 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. As part of Abnormal AI's secure hiring practices, we conduct video interviews and validate applicant identity at various stages through our recruitment process. Further, if your application is successful and Abnormal AI makes a conditional offer of employment, we will carry out pre-employment checks which must be successfully completed to progress to a final offer. All processes and pre-employment checks are in line with prevailing legislation and Abnormal AI's policies relevant to our security and privacy standards. Abnormal AI is committed to protecting your privacy. Please review our Abnormal AI Applicant Privacy Policy for full information about how Abnormal AI uses your personal information. By submitting an application you confirm that you have read and understand the Abnormal AI Applicant Privacy Policy.

Serve as the primary technical contact, lead architecture discussions, and drive successful enterprise security outcomes. | Requires 5+ years in sales engineering or relevant industry experience, with strong technical and communication skills, and territory residency in St. Louis or Kansas City. | About the Role Abnormal AI is seeking an Enterprise Sales Engineer to join our growing Sales Engineering team. As an Enterprise Sales Engineer, you will serve as our customer’s primary technical contact, acting as a trusted technical advisor to security, email, and identity teams, crafting strategic, value-based business cases to win complex Enterprise opportunities and help organizations conquer their most intractable email and identity-driven security challenges. In partnership with Enterprise Account Executives, you will be responsible for conducting in-person and remote product demonstrations, leading architecture-level technical discussions, articulating the technical and business value of Abnormal AI’s platform, and owning and driving successful outcomes for Enterprise-scale Proof of Value (POV) programs. The ideal candidate will be located in the St.Louis or Kansas City area and role will possess the following skill set: Ability to tie technology to measurable risk reduction and business outcomes at Enterprise scale Ability to influence senior security, IT, and executive stakeholders in both virtual and in-person settings High EQ; ability to read the room, engage stakeholders, demonstrate empathy, listen actively, and respond thoughtfully Ability to create value-driven presentations and tell compelling stories (PowerPoint, Google Slides) Strong discovery skills to uncover customer pain points, requirements, and strategic objectives What You Will Do Serve as the technical authority and primary technical decision partner in enterprise sales cycles, from discovery through close, including full ownership of Proof of Value (POV) success criteria and outcomes Lead architecture-level conversations with security, email, and identity teams Run technical discovery that uncovers risk, not just requirements Conduct technical and competitive landscape research to effectively address customer questions and objections Confidently answer architecture-level and modern threat questions without deferring to Product or Engineering Articulate why legacy secure email gateways fail against social engineering and identity-based attacks Educate sales executives and partners on Abnormal AI’s products, platform, and security posture Obsessively drive customer satisfaction and successful Enterprise outcomes Must Have 5+ years of Sales Engineering experience OR relevant industry experience Reside in territory (St. Louis or Kansas City) Demonstrated ability to lead technical discovery and architecture discussions with security, infrastructure, identity and compliance teams Strong technical presentation and communication skills, both verbal and written Ability to see and present the “big picture,” uncover complex business challenges, and architect solutions to solve customer needs Ability to work independently in a fast-paced, high-impact Enterprise sales environment Positive attitude, strong customer focus, and a high sense of ownership over customer results Solid technical understanding of SaaS security models including multi-tenant cloud environments Working knowledge of DNS, TCP/IP, TLS, and enterprise networking concepts as they relate to email and SaaS security Nice to Have Experience with enterprise email security platforms (Proofpoint, Mimecast, Cisco, Barracuda, etc.) Technical background in messaging and internet security principles Hands-on experience with Microsoft Exchange Online / Microsoft 365 or Google Workspace Strong understanding of SMTP mail flow, MX records and mail routing Working knowledge of email authentication (SPF, DKIM, DMARC) and common failure modes Strong understanding of Cloud SaaS infrastructure including identity services such as Azure AD / Entra ID / Google Identity Ability to explain identity-driven and modern social engineering attacks and controls at an architectural level Experience integrating SaaS platforms via OAuth and REST APIs Familiarity with SIEM platforms (Splunk, Sentinel) and SOC workflows Experience working with or alongside SOC incident response teams including creating incident response workflows Security certifications (CISSP, CEH, or equivalent) for credibility with enterprise buyers #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: $154,700—$182,000 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.

Serve as the primary technical advisor in enterprise sales cycles, leading architecture discussions, and ensuring successful Proof of Value programs. | Requires 5+ years of sales engineering or relevant industry experience, with strong technical presentation skills, and knowledge of SaaS security models, enterprise networking, and email security. | About the Role Abnormal AI is seeking an Enterprise Sales Engineer to join our growing Sales Engineering team. As an Enterprise Sales Engineer, you will serve as our customer’s primary technical contact, acting as a trusted technical advisor to security, email, and identity teams, crafting strategic, value-based business cases to win complex Enterprise opportunities and help organizations conquer their most intractable email and identity-driven security challenges. In partnership with Enterprise Account Executives, you will be responsible for conducting in-person and remote product demonstrations, leading architecture-level technical discussions, articulating the technical and business value of Abnormal AI’s platform, and owning and driving successful outcomes for Enterprise-scale Proof of Value (POV) programs. The ideal candidate for this role will possess the following skill set: Ability to tie technology to measurable risk reduction and business outcomes at Enterprise scale Ability to influence senior security, IT, and executive stakeholders in both virtual and in-person settings High EQ; ability to read the room, engage stakeholders, demonstrate empathy, listen actively, and respond thoughtfully Ability to create value-driven presentations and tell compelling stories (PowerPoint, Google Slides) Strong discovery skills to uncover customer pain points, requirements, and strategic objectives What You Will Do Serve as the technical authority and primary technical decision partner in enterprise sales cycles, from discovery through close, including full ownership of Proof of Value (POV) success criteria and outcomes Lead architecture-level conversations with security, email, and identity teams Run technical discovery that uncovers risk, not just requirements Conduct technical and competitive landscape research to effectively address customer questions and objections Confidently answer architecture-level and modern threat questions without deferring to Product or Engineering Articulate why legacy secure email gateways fail against social engineering and identity-based attacks Educate sales executives and partners on Abnormal AI’s products, platform, and security posture Obsessively drive customer satisfaction and successful Enterprise outcomes Must Have 5+ years of Sales Engineering experience OR relevant industry experience Reside in territory (Atlanta, GA or Florida) Demonstrated ability to lead technical discovery and architecture discussions with security, infrastructure, identity and compliance teams Strong technical presentation and communication skills, both verbal and written Ability to see and present the “big picture,” uncover complex business challenges, and architect solutions to solve customer needs Ability to work independently in a fast-paced, high-impact Enterprise sales environment Positive attitude, strong customer focus, and a high sense of ownership over customer results Solid technical understanding of SaaS security models including multi-tenant cloud environments Working knowledge of DNS, TCP/IP, TLS, and enterprise networking concepts as they relate to email and SaaS security Nice to Have Experience with enterprise email security platforms (Proofpoint, Mimecast, Cisco, Barracuda, etc.) Technical background in messaging and internet security principles Hands-on experience with Microsoft Exchange Online / Microsoft 365 or Google Workspace Strong understanding of SMTP mail flow, MX records and mail routing Working knowledge of email authentication (SPF, DKIM, DMARC) and common failure modes Strong understanding of Cloud SaaS infrastructure including identity services such as Azure AD / Entra ID / Google Identity Ability to explain identity-driven and modern social engineering attacks and controls at an architectural level Experience integrating SaaS platforms via OAuth and REST APIs Familiarity with SIEM platforms (Splunk, Sentinel) and SOC workflows Experience working with or alongside SOC incident response teams including creating incident response workflows Security certifications (CISSP, CEH, or equivalent) for credibility with enterprise buyers #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: $154,700—$182,000 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 develop a team of technical account managers to ensure customer success, drive strategic initiatives, and collaborate across departments. | Over 5 years managing technical customer-facing teams, deep cybersecurity and networking knowledge, proven ability to build trusted executive relationships, and experience in SaaS or security industries. | About the Role As the Director of Technical Account Managers, you will lead and scale a high-performing team responsible for the technical success of Abnormal's highest-value customers. You will drive the strategic direction, operational excellence, and people development of the TAM organization to ensure exceptional customer outcomes, product adoption, and long-term retention. What you will do Strategic Leadership – Define and execute the vision and operating model for the TAM function, aligning with cross-functional stakeholders across Customer Success, Product, Engineering, and Support. Team Management & Development – Hire, coach, and grow a team of high-performing TAMs. Set clear expectations, support career growth, and foster accountability against customer success and adoption KPIs. Customer Outcomes & Escalations – Serve as an executive escalation point and ensure the consistent delivery of high-impact technical guidance and support to our top-tier accounts. Champion customer health and long-term product value. Process & Program Ownership – Build and scale programs around technical onboarding, adoption plans, health checks, and product feedback loops. Establish best practices and frameworks that drive consistency and measurable impact across the TAM organization. Cross-Functional Collaboration – Partner closely with Customer Success Managers, Product, Engineering, and Support to deliver seamless customer experiences and proactively influence the product roadmap with customer insights. Data-Driven Management – Use data and reporting to identify trends, measure impact, and continuously optimize the TAM model to support customer growth, retention, and expansion. Travel – Willingness to travel (~30%) for onsite customer engagements and team development. Must Haves • 5+ years of experience managing technical customer-facing teams (TAM, SE, Support, or related enterprise SaaS roles) • 5+ years of experience as an Enterprise Technical Account Manager or in a similar post-sales technical leadership capacity • 5+ years of experience in cybersecurity, ideally at a leading security company or enterprise-level SaaS provider, with demonstrated success in building and scaling high-performing technical teams and programs • Proven ability to troubleshoot complex technical issues (e.g., previous Support or SE experience) and collaborate across Product, Engineering, and Support to resolve challenges • Action-oriented mindset with the ability to synthesize inputs across functions and translate them into scalable solutions and clear customer narratives • Proven success building and maintaining trusted executive relationships (CISO, CIO, and senior IT/security leaders) • Demonstrated ability to drive product adoption and value realization, including introducing new features, best practices, and measurable outcomes • Deep understanding of security and networking technologies, with familiarity in email security a plus • Exceptional communication and executive presence — strong written, spoken, and presentation skills across all organizational levels Nice to Haves • Direct experience working with email security products or platforms • Experience supporting global enterprise customers; fluency in additional languages beyond English is a plus #LI-ME1 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 improve data pipelines, ensure data reliability, and support AI/ML data needs. | Requires 3-5+ years in data engineering with strong Python and SQL, AWS, Snowflake, and orchestration experience, which are not demonstrated in your background. | About the Role You’ll build, operate, and improve the “engine room” of our data platform—reusable ingestion frameworks, reliability systems, and pipelines across structured, semi-structured, and unstructured sources. You’ll own ETL/ELT workflows (Fivetran and AWS Glue) and develop stable, observable, and cost-efficient pipelines that power analytics and AI. Your work prevents incidents before they happen through great design, guardrails, and monitoring—translating technical reliability into a seamless experience for downstream customers. Who you are Pragmatic builder who writes clear SQL/Python and leaves systems more reliable than you found them. Infrastructure-minded engineer comfortable with Python, IaC, orchestration, and Snowflake administration. Customer-centric and fundamentals-first; you translate reliability into a delightful data consumer experience. Velocity-oriented: you deliver “good today” increments, measure impact, and iterate toward excellence. Owner mindset: you proactively drive outcomes, communicate trade-offs, and follow through on commitments. Intellectually honest: you share clear, candid updates and invite feedback to improve systems. Security-first with sound judgment around PII/PHI, least privilege, and secret management. Collaborative partner who can explain technical topics to both engineers and non-technical stakeholders. Naturally curious and thrive in ambiguity, seeking to solve business problems with pragmatic solutions. A self-starter who takes ownership of outcomes and iterates quickly to add value fast. Always balancing excellence with velocity—knowing when good enough today beats perfect next week. What you will do Develop reusable ingestion frameworks (Python/Airflow/AWS Glue) for APIs and unstructured sources beyond Fivetran, handling various data formats (JSON, Parquet, etc.). Own the end-to-end Medallion (bronze/silver/gold) architecture for core domains, ensuring robust lineage and metadata across diverse data sources. Implement data observability (native tests, alerts, lineage hooks); lead incident management and root-cause analysis (RCA) for data. Help standardize reusable “paved-road” patterns (e.g. CI templates, ingestion operators) to improve developer productivity. Prepare datasets for AI/LLM use cases (feature stores, embeddings/RAG prep). Must Haves 3–5+ years of data engineering with strong Python and SQL; hands-on Spark/PySpark (ideally via AWS Glue). Deep experience in AWS (S3, IAM, Lambda, CloudWatch) running secure, observable data workloads. Proficiency operating Snowflake (warehouse sizing, RBAC, resource monitors, clustering/partitioning). Proven governance/security patterns: masking policies, row-level security, and auditability. Orchestration experience (Airflow/MWAA) and event/file/API ingestion beyond managed connectors. CI/CD for data with GitHub Actions; test/promotion workflows; secrets and PII handling. Solid grasp of Medallion architecture, dimensional modeling (star schema), and data quality frameworks. Ownership of incident management and RCA with measurable reduction in MTTR. Nice to Have Familiarity with BI tools (Sigma, Looker, Tableau) for downstream troubleshooting and enablement. Experience with iPaaS/automation (e.g., Workato) and reverse ETL patterns. Data observability tools (e.g., Monte Carlo) and open standards like OpenLineage. IaC for data infrastructure (Terraform) and environment provisioning. Experience with Parquet/S3/Iceberg lakehouse patterns and event/data contracts. Fivetran administration and ELT operations. Experience contributing to paved-road standards (templates, operators, codegen). Exposure to feature stores or embeddings/RAG pipelines supporting AI products. #LI-EM4 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.

Serve as the primary technical contact, lead architecture discussions, and drive successful enterprise security outcomes. | 5+ years of sales engineering or relevant industry experience, strong technical presentation skills, and the ability to lead complex technical discovery and architecture discussions. | About the Role Abnormal AI is seeking an Enterprise Sales Engineer to join our growing Sales Engineering team. As an Enterprise Sales Engineer, you will serve as our customer’s primary technical contact, acting as a trusted technical advisor to security, email, and identity teams, crafting strategic, value-based business cases to win complex Enterprise opportunities and help organizations conquer their most intractable email and identity-driven security challenges. In partnership with Enterprise Account Executives, you will be responsible for conducting in-person and remote product demonstrations, leading architecture-level technical discussions, articulating the technical and business value of Abnormal AI’s platform, and owning and driving successful outcomes for Enterprise-scale Proof of Value (POV) programs. The ideal candidate for this role will be located in the Southeast area and possess the following skill set: Ability to tie technology to measurable risk reduction and business outcomes at Enterprise scale Ability to influence senior security, IT, and executive stakeholders in both virtual and in-person settings High EQ; ability to read the room, engage stakeholders, demonstrate empathy, listen actively, and respond thoughtfully Ability to create value-driven presentations and tell compelling stories (PowerPoint, Google Slides) Strong discovery skills to uncover customer pain points, requirements, and strategic objectives What You Will Do Serve as the technical authority and primary technical decision partner in enterprise sales cycles, from discovery through close, including full ownership of Proof of Value (POV) success criteria and outcomes Lead architecture-level conversations with security, email, and identity teams Run technical discovery that uncovers risk, not just requirements Conduct technical and competitive landscape research to effectively address customer questions and objections Confidently answer architecture-level and modern threat questions without deferring to Product or Engineering Articulate why legacy secure email gateways fail against social engineering and identity-based attacks Educate sales executives and partners on Abnormal AI’s products, platform, and security posture Obsessively drive customer satisfaction and successful Enterprise outcomes Must Have 5+ years of Sales Engineering experience OR relevant industry experience Demonstrated ability to lead technical discovery and architecture discussions with security, infrastructure, identity and compliance teams Strong technical presentation and communication skills, both verbal and written Ability to see and present the “big picture,” uncover complex business challenges, and architect solutions to solve customer needs Ability to work independently in a fast-paced, high-impact Enterprise sales environment Positive attitude, strong customer focus, and a high sense of ownership over customer results Solid technical understanding of SaaS security models including multi-tenant cloud environments Working knowledge of DNS, TCP/IP, TLS, and enterprise networking concepts as they relate to email and SaaS security Nice to Have Experience with enterprise email security platforms (Proofpoint, Mimecast, Cisco, Barracuda, etc.) Technical background in messaging and internet security principles Hands-on experience with Microsoft Exchange Online / Microsoft 365 or Google Workspace Strong understanding of SMTP mail flow, MX records and mail routing Working knowledge of email authentication (SPF, DKIM, DMARC) and common failure modes Strong understanding of Cloud SaaS infrastructure including identity services such as Azure AD / Entra ID / Google Identity Ability to explain identity-driven and modern social engineering attacks and controls at an architectural level Experience integrating SaaS platforms via OAuth and REST APIs Familiarity with SIEM platforms (Splunk, Sentinel) and SOC workflows Experience working with or alongside SOC incident response teams including creating incident response workflows Security certifications (CISSP, CEH, or equivalent) for credibility with enterprise buyers #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: $154,700—$182,000 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.

Deliver technical training and enablement for pre-sales teams, focusing on value-based selling, demo strategy, and competitive positioning. | Experience in technical enablement, cybersecurity knowledge, and delivering live technical training to pre-sales audiences. | About You You are a seasoned pre-sales enablement or technical training professional who can go deep technically and deliberately uplevel conversations into value-based enablement. You understand product details at a technical level, but your strength is translating that depth into clear, outcome-oriented narratives for sellers. You may have held a Sales Engineer role or a senior technical enablement role where you were responsible for teaching, demonstrating, positioning, and defending technical solutions in high-stakes pre-sales scenarios. You are not a feature narrator. You understand how to teach why a demo is structured the way it is, what questions it is meant to answer, and how sellers should communicate value to different buyer personas. You are confident owning the room—whether delivering live bootcamps, virtual training sessions, or SE offsites—and are comfortable being the primary technical voice. You partner closely with Product, PMM, Competitive Intelligence, and Enablement Programs teams to ingest knowledge, but you own how that knowledge is trained, framed, and operationalized for the field. In this job, you will bring these skills Minimum Qualifications Bachelor’s degree or equivalent practical experience. Experience in pre-sales technical enablement, technical training, sales engineering, or a closely related role. Strong domain knowledge in cybersecurity, including email security, and familiarity with cloud-based SaaS architectures and common enterprise technologies. Proven experience delivering live and virtual technical training to pre-sales audiences. Demonstrated ability to teach value-based demos, competitive positioning, and POV strategy—not just product functionality. Excellent presentation presence, pacing, and audience engagement skills. Ability to distill complex technical concepts into clear seller-focused takeaways. Willingness to travel for bootcamps, SE offsites, and key enablement events. Preferred Qualifications Prior experience as a Sales Engineer or in a highly adjacent pre-sales role. Experience training enterprise Sales Engineers or pre-sales teams at scale. Strong background in cybersecurity and understanding of customer challenges across personas (practitioners, managers, executives). Familiarity with competitive email security landscapes (e.g., Proofpoint, Avanan, Microsoft). Experience designing or owning technical certification and readiness programs. Strong partnership skills with Product, PMM, Competitive Intelligence, and Enablement Programs teams. Background in delivering technical enablement tied to deal execution and POVs. Role Responsibilities Live Technical Enablement & Training Own and deliver the technical components of new hire bootcamp, including: Value-based selling foundations Demo strategy and narrative Competitive positioning POV-focused technical education Deliver live and virtual technical enablement sessions for SEs and AEs, ensuring content is anchored in seller application and customer outcomes. Lead technical sessions at SE offsites and enablement events as the primary presenter. Design training experiences that emphasize: Why specific capabilities matter How sellers should talk about them What questions to ask and expect during demos and evaluations Ensure sessions are concise, structured, and focused on clear top takeaways. SE Onboarding, Certification & Readiness Partner with Enablement Programs to own and continuously evolve SE technical onboarding content, with particular focus on demo, competitive, and POV readiness. Partner with SE Management to define and enforce technical certification and readiness gates. Assess SE technical competency through live delivery, certification exercises, and observed execution. Identify and surface readiness gaps, patterns, and risks to SE leadership. Competitive & POV Enablement Deliver technical competitive deep dives that help the field understand: Architectural differences Strengths and limitations of competing approaches How to position Abnormal effectively in competitive conversations Train SEs on value-based POV execution, including how to scope, narrate, and defend outcomes. Collaborate with Competitive Intelligence, PMM, and Product teams to ensure training reflects current market realities while remaining seller-focused. Content Development (Enablement-Focused) Partner with the Enablement Programs and Content teams to create and evolve enablement content directly tied to live delivery, including: Demo talk tracks and narratives Competitive frameworks and positioning guides Technical POV enablement materials Ruthlessly prioritize clarity and seller application over feature completeness. Continuously refine content based on field feedback and observed execution. #LI-MP1 At Abnormal AI, certain roles are eligible for a bonus, restricted stock units (RSUs), and benefits. Individual compensation packages are based on factors unique to each candidate, including their skills, experience, qualifications and other job-related reasons. Base salary range: $144,500—$170,000 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 develop legal operations teams, manage legal systems and processes, and drive continuous improvement and automation in legal workflows. | Extensive experience in legal operations, SaaS environments, and managing legal technology platforms, with strong leadership and project management skills. | About the Role Abnormal is seeking a Legal Operations Manager to continue to build upon and lead the operational backbone of our global Legal function. In this role, you will develop and refine a high-performing Legal Ops team and partner across all Legal practice areas that support GTM, G&A, and R&D. You will own the data, systems, and processes that improve team performance, highlight opportunities for continuous “1% better” improvement, and enable Legal to operate with clarity, velocity, and scale. What you will do Manage, mentor, and develop the Legal Operations team by setting clear goals, providing coaching, and supporting career growth. Own and execute the Legal Operations roadmap, including AI-enabled tooling strategy, workflow modernization, automation, resourcing, and quarterly/annual planning—designing and scaling AI-powered contract, intake, and knowledge workflows while supporting the Legal team in responsible AI tool selection, governance, and data-driven translation of legal risk into business-aligned outcomes. Partner with the Legal team leadership and GTM/G&A stakeholders to lead cross-functional initiatives such as contracting workflow redesign and enhancements, and audit readiness. Partner with all practice areas to operationalize their workflows, identify process gaps, and deliver scalable systems, and documentation that improve consistency and velocity. Drive adoption and enablement of contracting systems across Legal and cross-functional teams. Lead evaluation, implementation, and management of Legal technology systems in partnership with IT, Finance, Security, and other applicable cross-functional teams. Oversee the strategy and architecture of the CLM platform, ensuring workflows, templates, metadata, clause libraries, and integrations are scalable and compliant. Own Legal’s KPI and data framework—ensuring audit-ready data, analyzing operational performance, and translating insights into improvements across processes, tooling, and team capacity. Responsible for overseeing the end-to-end management of outside counsel billing and legal vendors to ensure accuracy, timely payment, compliance with billing guidelines, and ongoing evaluation of cost effectiveness and ROI. Must Haves 8–10+ years of Legal Operations or relevant operational experience in high-growth SaaS environments 4+ years of people management experience Ability to partner effectively with rest of heads of legal, aligning legal ops to legal priorities and driving adoption through influence and trust Experience with automation (e.g., Glean, Zapier, Workato) and implementing ticketing platforms (e.g. ServiceNow, JIRA) for Legal teams Experience owning or architecting a CLM platform (SpotDraft) and designing contracting or procurement workflows Experience with billing/matter, project, spend management, legal vendor onboarding and other legal compliance and knowledge systems Demonstrated success leading cross-functional operational initiatives Strong program/project management and operational analytics skills Ability to manage priorities in a fast-paced environment Clear, concise communication and a strong business-partner mindset Excitement for, and willingness to grow proficiency in, enterprise generative AI tools (e.g., ChatGPT, Glean) and using AI to build, re-think, and automate routine legal workflows. Eagerness to join and contribute to a high-performing start-up in-house legal team with an AI mindset for problem solving. Demonstrated record of delivering impactful, scalable solutions for legal teams with measurable outcomes that drive client satisfaction and outcomes. Nice to Have Ability to develop or refine knowledge architecture for internal legal content. Lean/Six Sigma, PMP, or product management training #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: $159,900—$188,100 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 scale core platform infrastructure supporting AI/ML products, focusing on compute, orchestration, and data platforms. | Proven experience in building scalable, distributed backend systems, with expertise in at least two of compute, orchestration, or data platform areas, and strong IaC and observability fundamentals. | About the Role Enterprises of all sizes trust Abnormal Security’s cloud products to stop cybercrime—and these products are only as powerful as the platform they run on. The Platform Infrastructure team builds and operates the core systems that make Abnormal’s AI-driven detection and prevention possible: delivering reliability, scalability, and security at cloud scale. We’re looking for a Staff Software Engineer to lead foundational efforts across multiple areas of Platform Infrastructure. In this role, you’ll guide a high-performing team, shape the roadmap for a true self-service infrastructure platform, and drive ambitious technical projects that use AI to automate and elevate how we build and operate our systems. The ideal candidate: Tackles complex, ambiguous problems and turns them into actionable plans. Leads by example and dives deep when needed. Embodies our VOICE values and builds software that delights customers. Earns trust across Engineering, Product, and Design through thoughtful collaboration. Team mission: Build and evolve the core infrastructure—compute, orchestration, and data platform—that powers Abnormal’s AI/ML products at scale. We treat platforms as products: usable, reliable, secure, and cost-efficient. What you will do Shape the core areas of Platform Infrastructure such as compute (EC2/EKS, autoscaling, container runtime) and orchestration (Kubernetes, workload APIs, multi-cluster, policy/quotas), as well as data platform (streaming, batch, durable storage, data tooling)—with demonstrated depth in at least two of these. Design and drive platform architecture & roadmap to support Abnormal’s expanding AI/ML portfolio—scaling seamlessly across services, tenants, and regions. Partner deeply with product & ML workflows to make pragmatic trade-offs, accelerating our shift to a platform-first operating model and enabling self-service. Raise the bar on operational excellence (SLOs, availability, performance, incident response, change management, on-call hygiene) and help teams consistently meet it. Act as the team’s technical lead: define quarterly roadmaps, de-risk delivery, mentor engineers, and land high-leverage, cross-team initiatives. Champion AI-native software development, guiding teams on architecture, data gravity, feature stores, model/service interfaces, and evaluation pipelines. Own cost-conscious engineering, optimizing design and operations to balance performance, reliability, and spend (capacity planning, right-sizing, caching, storage tiers). Instill strong platform product practices: crisp APIs, great docs, clear SLAs/SLOs, telemetry by default, and paved paths that increase developer velocity. Must haves Proven experience building and scaling data-intensive, distributed backend systems in high-growth environments. 5+ years as a Senior/Staff engineer building platforms, tools, or infrastructure that materially increase engineering velocity and reliability. A strong track record as a change agent—reshaping infra strategy and shipping impactful, self-service platform offerings in startup settings. Depth in at least two of the following three areas: Compute (e.g., EC2, autoscaling, container runtimes, networking, security hardening) Orchestration (e.g., Kubernetes/EKS, controllers/operators, scheduling, policies, multi-cluster) Data Platform (e.g., Kafka/Kinesis/SQS; Spark/Databricks/DBT/Airflow; S3; PostgreSQL/MySQL; DynamoDB/RocksDB/Redis/OpenSearch; data governance/quality/lineage) Hands-on with our stack (or equivalent): Python, Golang, Terraform/Terragrunt, PostgreSQL, Kafka, Redis, OpenSearch, AWS, Kubernetes. Strong IaC, observability, and SRE fundamentals (SLOs, error budgets, incident management, postmortems, capacity planning). Nice to haves Experience building multi-tenant or regulated (e.g., FedRAMP-like) platforms, isolation boundaries, and guardrails. Background with feature stores, offline/online consistency, model serving, and evaluation/feedback loops. Prior leadership of cross-org migrations (e.g., to Kubernetes, event-driven architectures, or a unified data platform). How we work Product mindset: platform as a product with clear APIs, docs, SLAs, and adoption metrics. Automation first: paved paths and golden configs over bespoke snowflakes. Measured outcomes: reliability, latency, cost, and developer experience over vanity metrics. #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: $209,800—$246,800 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.

Lead a small engineering team, contribute code, and shape product development for identity security. | Requires 5+ years of software engineering experience, leadership in a fast-paced environment, and technical skills in Python/Go, with experience in enterprise security or ML systems preferred. | Enterprises are undergoing two simultaneous transformations: moving critical infrastructure to the cloud and adopting AI agents at scale. Both create an identity explosion—humans, service accounts, and AI agents now outnumber traditional users 10-to-1, each with permissions that legacy tools can't govern. Abnormal's Identity Security team is building the platform to secure this new reality: unified visibility across all identity types, behavioral intelligence that understands what's normal, and AI-native automation that operates at cloud speed. We're extending the same behavioral approach that made Abnormal the leader in email security to protect identities across cloud infrastructure and AI systems. The Identity Security team is looking for a Tech Lead Manager to build and lead this critical product area. You'll start hands-on with a small team, shipping code while growing the product toward market fit. What You'll Do Lead a team of 2-4 engineers, writing and reviewing code daily alongside them Collaborate closely on technical direction while building the foundations for a scalable product Partner directly with internal and external customers to gather feedback and iterate quickly Grow the team and product as we find traction and expand scope Set engineering standards and practices that will scale as the team grows This Role Is a Fit If You Want to be deeply technical while building leadership skills—you're excited to code, not just manage Thrive in ambiguity and can guide a small team through uncertainty toward product-market fit Have strong instincts for what customers need and how to translate that into product decisions Enjoy the founding-team dynamic: small group, high ownership, fast iteration This Role Is Not a Fit If You Prefer managing established teams with well-defined roadmaps Want to step back from hands-on technical work Are uncomfortable with the ambiguity of an early-stage product still finding its footing Requirements 5+ years of software engineering experience with 1+ year in a tech lead or engineering management role Track record of shipping products in fast-moving environments Ability to read, write, and review code at a high level (Python/Go preferred) Experience hiring and developing engineers Bay Area location required—we operate with 25% in-office presence Preferred Experience building enterprise/B2B security products Familiarity with machine learning systems or ML-adjacent infrastructure Exposure to AWS, Kafka, containerized services, microservices Growth Paths Expand scope as Identity Security grows, taking on additional product lines Build out a larger team as we scale beyond initial product-market fit Position yourself for senior leadership as the org matures What We Offer The opportunity to join a veteran team that has built enduring ML platforms at Google, Twitter, Pinterest, Amazon, Microsoft, and Expanse. Our customer base includes multiple Fortune 500 companies, and Identity Security is a critical bet for Abnormal's future. #LI-NT1 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: $187,900—$221,000 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 build AI-powered applications, manage marketing tech integrations, and optimize data flows within a B2B SaaS environment. | Minimum 5+ years in marketing or sales operations with expertise in Salesforce, MarTech platforms, and AI technologies. | The Opportunity: You will be a pioneer at Abnormal, serving as our lead developer and subject matter expert for Glean AI. You will be empowered to design and build custom AI-powered applications and workflows that unlock productivity, surface critical insights, and fundamentally change how our marketing and GTM teams operate. Building scalable systems and leveraging cutting-edge AI to solve real-world business problems. What You'll Do: AI Development & Enablement: Serve as the in-house expert and primary developer for Glean AI, designing, building, and deploying custom AI applications ("Gleans") that solve critical business challenges. Implement and manage integrations for other AI-powered tools, including generative AI copy platforms, predictive analytics engines, and Customer Data Platforms (CDPs). Strategically determine where internal AI initiatives can replace paid tool functionality. Proactively partner with stakeholders across the GTM organization to identify high-impact opportunities for AI-driven automation, insight generation, and process improvement. Configure and manage Glean's connections to our various knowledge sources (e.g., Salesforce, Confluence, Google Drive, Slack) to build a comprehensive, intelligent knowledge base for the GTM team. MarTech Stack Architecture & Integration: Architect and manage the data flows between key platforms in our GTM stack (e.g., Marketo, Salesforce, Ringlead, 6sense, Outreach, Qualified, Revsure), utilizing API calls and real-time data streams to ensure data integrity. Lead the evaluation and end-to-end implementation of new marketing technologies, from security reviews and capability audits to full integration and launch. Manage vendor relationships, monitor tool utilization, analyze the viability of new tools against the existing stack, and recommend upgrades or downgrades to future contracts. Design and maintain robust data synchronization processes to ensure the accuracy, timeliness, and reliability of data that underpins all marketing reporting and sales execution. Oversee the technical architecture of marketing campaigns, ensuring they are structured for accurate tracking and attribution under our last-touch model. Own and refine the lead and account routing methodology, ensuring leads are accurately and efficiently passed to the appropriate teams for timely follow-up. Act as the first line of defense for troubleshooting and resolving system integration issues, working closely with vendors and internal teams (RevOps, SalesOps, IT) Cross-Functional Enablement & Governance: Serve as the subject matter expert for our core marketing and sales AI platforms. Create and maintain clear documentation for all AI integrations, data flows, and processes to ensure scalability and business continuity. Develop training materials and resources to enable Marketing, SDR, and Sales teams on new technologies and processes, helping them leverage the full capabilities of our tech stack. What You'll Need: Minimum Qualifications: 5+ years of hands-on experience in a Marketing Operations, Revenue Operations, or Sales Operations role within a B2B SaaS environment. Expert-level knowledge of Salesforce (SFDC) from an administrative and integration perspective. You must understand the SFDC data model, process builders, flows, and how it connects to a broader tech stack. Proven experience managing and integrating multiple MarTech or SalesTech platforms (e.g., intent data providers, data enrichment/routing tools, sales engagement platforms). A strong analytical and problem-solving mindset with a track record of improving complex processes and systems. Excellent project management and communication skills, with the ability to translate complex technical concepts for non-technical stakeholders. Preferred Qualifications: Direct, hands-on experience with our core stack: Ringlead, 6sense, and Outreach. Experience with enterprise AI platforms like Glean, or a demonstrated passion for and ability to rapidly learn and apply new AI technologies. Familiarity with marketing automation platforms (Marketo preferred). Basic understanding of data warehousing concepts (Snowflake) and BI tools (Sigma). Ability to work autonomously in a fast-paced, dynamic environment and manage multiple priorities simultaneously. #LI-MP1 At Abnormal AI, certain roles are eligible for a bonus, restricted stock units (RSUs), and benefits. Individual compensation packages are based on factors unique to each candidate, including their skills, experience, qualifications and other job-related reasons. Base salary range: $131,800—$155,000 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 acquiring and expanding Mid Market accounts in cybersecurity. | Requires 2+ years of cybersecurity sales experience, 4+ years in an individual contributor role, and strong sales process skills. | About the Role Abnormal AI is seeking a Mid-Market Account Executive to join its dynamic Sales organization and supporting the Southwest. 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 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-HB1 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 pre-sales activities by providing technical expertise, conducting product demos, and helping craft solutions for customers. | 3+ years in sales engineering, experience supporting public sector, strong understanding of internet protocols and security, and excellent communication skills. | About the Role Abnormal AI is seeking a Mid-Market SLED Sales Engineer to join our growing Sales Engineering team. As a Sales Engineer, you will be our customer’s technical contact, and craft strategic business cases to win customers over & help them conquer their most intractable email security challenges. In conjunction with SLED (State, Local, and Education) Account Executives, you will be responsible for conducting in-person and remote product demos, articulating the technical value of Abnormal AI products, and driving successful outcomes for Proof of Value programs. The ideal candidate for the role will be located in the Northeast area and have the following skillset: Ability to tie technology to business outcomes and drive value Ability to influence your audience in virtual and in person formats High EQ; ability to read the room, engage people, be empathetic, listen and respond Ability to create value driven presentations and tell the story behind them (Powerpoint, Google Slides) Ability to discover/uncover customer pain/requirements/objectives What you will do Serve as the technical sales lead throughout the pre-sales cycle, including owning proofs-of-value (POV) results and driving their success, co-leading customer relationships with SLED Account Executives, and giving technical demos Provide technical pre-sales support for assigned Account Executives Assist Account Executives in development and implementation of sales objectives and account-based penetration strategies Conduct technical and competitive landscape research to effectively address customer questions Serve as a technical resource for pre-sales security and platform diligence, including Educate sales executives and partners on Abnormal AI’s products, platform, and security Obsessively drive customer satisfaction Must Haves 3+ years industry experience in sales engineering Some experience supporting Public Sector / SLED customers Technical background in messaging and Internet security principles Strong understanding of how Internet protocols work (HTTP, SMTP, DNS, etc.) Knowledge of networking topology, TCP/IP protocol, network configuration and components (firewalls, routers, etc.) Prior experience in selling software to Fortune 500 Strong technical presentation and communication skills, both verbal and written Ability to see and present “the Big Picture”, uncover business challenges, and architect a solution to solve customer business issues Ability to work independently in a high-velocity environment Positive attitude, customer focus, and strong sense of ownership over customer results BSCS/BSEE or equivalent work experience CISSP, CEH and/or other relevant security certifications a plus #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: $154,700—$182,000 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.

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.