Abnormal Security jobs in San Francisco, CA - 29 jobs

About the Role Abnormal AI is where you'll do the most exciting work of your career-because it's where the future of cybersecurity is being built. We're AI-native by design, not by retrofit. And we're looking for someone who wants to lead from that foundation. This role is for someone who thrives at the intersection of product development, data, and go-to-market execution. You'll help scale how we build, release, and operate AI-native security products that protect thousands of companies and millions of people from evolving attacks. The work is fast, high-trust, and impact-driven. What you will do Streamline How AI-Native Products Are Built and Launched Own the end-to-end product development process for all market initiatives Set and manage product release standards and execution rhythms Lead high-leverage rituals including product reviews and launch meetings Make Product Decisions Smarter and Faster Define product performance KPIs across key areas Build dashboards that surface usage, customer feedback, and operational signals Provide clear visibility into progress, blockers, and technical risk Operate with Velocity and Precision Codify AI-native product operations practices into a living playbook Own the Request for Enhancement process-from triage to follow-through Accelerate support automation efforts using AI to reduce manual effort Align Product, Support, and GTM Around What Matters Act as the connective tissue between customer-facing teams and product Own internal enablement on product changes-clarity is your default Drive adoption by making sure the right teams understand the right features at the right time Must Haves 5+ years in product operations or technical program management Experience working with AI-native product teams-or building them 1-2 years leading high-leverage ops or analytics teams Data fluency and structured thinking across metrics, dashboards, and reporting Deep comfort collaborating across product, engineering, support, and GTM Proficiency with tools like Jira, Confluence, Salesforce, Gainsight, and product analytics platforms A mindset for learning, simplifying, and owning outcomes Nice to Have Experience in cybersecurity or enterprise email security Familiarity with behavioral AI systems, or AI-powered customer support models #LI-PP1

About the Role Abnormal Security is looking for a Mid-Market Account Executive to join our Sales org. The Mid-Market sales team is responsible for bringing new, small to medium-sized business into Abnormal's portfolio of customers. This is a full-cycle sales role, working the deal cycle from prospect to close for accounts located in your territory. The ideal candidate will have a hunter mentality, experience in & a passion for cybersecurity, team selling experience, and be ready to hit the ground running. What you will do Sell Abnormal security solutions to your defined territory with the goal to overachieve new annual recurring revenue quota Work Mid Market accounts ( Prospect and generate new business opportunities with Mid Market accounts ( Work with Customer success to ensure a timely renewal and expansion sale opportunities Be a voice for the customer/prospect with internal teams including Sales Engineering/POV team, Product and Marketing to ensure appropriate prioritization to close more revenue. Must Haves Ability to hunt: a disciplined approach to early pipeline development. Comfortable and have demonstrated ability to prospect into Mid-Market accounts with the ability to leverage/ balance the pillars of demand generation: AE prospecting, Marketing, Channel, and Customer referrals. Good qualifier: Ability to uncover/discover customer problems and pains Good presenter: the ability to present and demonstrate value based off customer pain points. Disciplined in sales methodology / time management: Ability to systematically execute a disciplined sales process that can be repeated in parallel without sacrificing quality Ability to develop and present a business case to a customer showing high ROI across different dimensions to multiple stakeholders Ability to extract, document and organize lessons, knowledge and information about customers Ability to guide internal stakeholders through their own internal buying processes Grit; ability to find success in an early-stage environment without all the resources/teams available to much larger organizations Good understanding of how to leverage other departments including Sales Engineering, Marketing, Product and Customer Success. Cultural fit: VOICE Velocity to outpace attackers and outpace our competition Ownership to empower new leaders to step up and take action Intellectual Honesty to uncover the best ideas and the right actions Customer Obsession to focus us on what is most valuable Excellence to achieve our ambition of being the best Nice to Haves 2+ years of experience selling in cybersecurity 4 Years in an individual contributor role MEDDIC, MEDDPICC, or Command of the Sale sales methodology training #LI-TY1

About the Role As a Customer Escalation Manager, you will act as the quarterback for de-escalating high-risk accounts, owning the path-to-green for critical situations. You are a skilled communicator who thrives at navigating complex customer challenges, influencing cross-functional teams, and restoring customer confidence. You bring a strong customer-first mindset, the ability to untangle technical and relationship issues, and the confidence to drive action across Customer Success, Product, Engineering, and Support. Your leadership and organizational skills will ensure that escalations are handled with urgency, transparency, and accountability. You have deep experience working with tier 1 cybersecurity organizations, with a history of holding hands-on roles such as Technical Account Manager, Sales Engineer, or Support Engineer in enterprise SaaS or cybersecurity environments. This background enables you to navigate complex technical issues and customer relationships effectively. Must Haves 5-7 years of customer-facing experience in a technical role (TAM, SE, Support, or related enterprise SaaS roles) with a proven track record in managing escalations Demonstrated success in leading de-escalations for complex, strategic customers Strong understanding of customer lifecycle, support workflows, and escalation management best practices Excellent verbal and written communication skills, including executive-level communication with customers and internal stakeholders Ability to remain calm, credible, and strategic under pressure Strong organizational skills with the ability to prioritize multiple high-stakes issues simultaneously Experience collaborating with cross-functional teams including Engineering, TAMs, Product, Support, and Sales Empathy-driven, customer-first orientation with a bias for action Experience in Cybersecurity is required Nice to Have Experience in Email Security What You Will Do Act as the primary quarterback for red/yellow account escalations, driving alignment on the path-to-green and ensuring resolution Develop a deep understanding of the customer's relationship, complaints, and business context to influence the right plays internally Lead structured de-escalation plans, assigning responsibilities across CSMs, TAMs, Engineering, and Product, and tracking follow-through to closure Own communication with executives (both customer and internal) during critical escalations, ensuring transparency, accountability, and trust Maintain visibility into all critical account escalations and provide regular reporting to leadership Proactively identify systemic risks by analyzing escalation patterns and partnering with CS Ops to implement improvements Collaborate with the Director of TAM and CS/R&D/Support leadership to scale escalation processes and establish a repeatable Critical Account Program Contribute to post-escalation reviews and retrospectives to improve playbooks and prevent recurrence Serve as a trusted partner to CSMs and TAMs, coaching them on escalation handling and customer confidence restoration Proven project management skills, with the ability to structure complex issues, manage timelines, track deliverables, and drive accountability across teams #LI-ME1

About the Role We at Abnormal AI are looking for a hands-on Security Operations/ Cyber Defense Analyst who thrives in a fast-paced, engineering-driven environment. You'll be responsible for monitoring, investigating, and responding to security alerts across cloud, endpoint, identity, and application layers. You'll work closely with detection engineers, cloud security, and IT teams to protect our hybrid environment from threats in real time. This is not a "click-through-the-console" SOC role - we're looking for someone who can think critically, automate relentlessly, and own incidents end-to-end. Key Responsibilities Detection & Triage: Monitor alerts from tools like SIEM, EDR, IAM, CSPM, CDR etc. Perform initial triage, enrichment, and correlation across multiple data sources. Identify false positives and fine-tune rules with detection engineering. Incident Response: Lead containment, eradication, and recovery for endpoint, cloud, and identity incidents. Document and communicate incidents through SOAR/Jira/ServiceNow workflows. Perform root cause analysis and propose permanent preventive controls. Threat Hunting & Analysis: Proactively hunt using hypotheses mapped to MITRE ATT&CK. Investigate anomalies across CloudTrail, Okta, GitHub, and other telemetry sources. Collaborate with threat intelligence to identify emerging TTPs. Automation & Process Improvement: Build or enhance playbooks in SOAR (Torq or equivalent). Create custom enrichment scripts and automations (Python, Bash, etc.). Suggest new detection logic and operational improvements. Reporting & Metrics: Track and report operational metrics (MTTD, MTTR, incident categories). Maintain documentation and lessons learned. Required Skills & Qualifications 5-7 years of hands-on SOC or Incident Response experience in a cloud-first or hybrid environment. Strong understanding of attacker lifecycle, MITRE ATT&CK, and threat actor TTPs. Experience with EDR (CrowdStrike preferred), SIEM (Splunk preferred), and SOAR (Torq, XSOAR, or Phantom). Familiarity with AWS, Okta, and SaaS platforms. Proficiency in writing queries and automations using Python, SPL, or equivalent. Excellent analytical and investigative skills - capable of operating independently with minimal hand-holding. Strong documentation and communication skills for technical and executive audiences. Nice to Have Experience with CSPM/CDR/VM tools. Knowledge of Containers and Kubernetes security. Relevant certifications like CEH, Security+, GCIH, GCIA, or AWS Security Specialty. What Success Looks Like You consistently deliver high-quality triage with minimal false positives. You automate repetitive tasks instead of manually doing them twice. You can take a vague alert and turn it into a well-documented case with actionable findings. #LI-EM5 You make measurable improvements to detection coverage, response time, or tooling maturity.

About the Role Join our growing Accounting team at Abnormal AI as a Staff Accountant, where you will play a key role in strengthening and scaling our cash management and collections processes. This position is ideal for a highly analytical and detail-oriented accounting professional who thrives in a fast-paced, high-growth environment. You will take ownership of cash application and reconciliations, ensure accuracy across financial systems and collaborate cross-functionally to drive efficiency and automation. This is an opportunity to make a direct impact on how we build scalable accounting operations in a company powered by AI innovation. What you will do Own and reconcile daily cash transactions with accuracy and timeliness. Partner with the Accounts Payable and Order Management to match and reconcile cash activity. Review, record and reconcile corporate credit card and travel & expense (T&E) transactions. Leverage ERP systems to streamline and automate account reconciliations. Prepare and analyze month fluctuation analysis to support financial reporting. Support the creation of cash reporting dashboards that deliver actionable insights to leadership. Investigate and resolve general ledger and treasury variances to ensure accuracy and compliance. Serve as the subject matter expert for cash, collections and accounts payable operations. Build strong partnerships across Accounting, FP&A and Operations to optimize workflows and drive scalability. Contribute to ad hoc projects that enhance efficiency across the Finance organization. Must Haves 2+ years of professional experience, with a strong foundation in general ledger and journal entries. Demonstrated skill in cash application and bank, credit card, T&E and general ledger reconciliations. Solid understanding of financial statements and core accounting principles. Highly analytical, with strong proficiency with Excel and comfort working with large data sets. Proven problem-solving ability with meticulous attention to detail and follow-through. Strong organization and prioritization skills with the ability to manage multiple stakeholders and deadlines. Excellent written and verbal communication skills for effective cross-functional collaboration. Experience with NetSuite, Coupa, Navan and Brex preferred. Initiative to build efficiencies and process improvements within accounting workflows. Forward-thinking mindset and curiosity about artificial intelligence (AI) and how it can be used to improve accounting accuracy, automation and efficiency. #LI-JT1

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

About the Role Abnormal AI is looking for a Staff Machine Learning Engineer to join the Message Detection - Attack Detection team. At Abnormal, we protect our customers against nefarious adversaries who are constantly evolving their techniques and tactics to outwit and undermine the traditional approaches to Security. That's what makes our novel behavioral-based approach so… Abnormal. Abnormal has constantly been named as one of the top cybersecurity startups and our behavioral AI system has helped us win various cybersecurity accolades resulting in being trusted to protect more than 17% of the Fortune 1000 ( and ever growing ). In a landscape where a single successful attack can lead to financial losses of millions of dollars, the Attack Detection team plays the central role of building an extremely high recall Detection Engine that can operate on hundreds of millions of messages at milliseconds latency. The Attack Detection team's mission statement is to provide world-class detector efficacy to tackle changing attack landscape using a combination of generalizable and auto trained models as well as specific detectors for high value attack categories. This role is central to our mission of protecting the world's largest enterprises. You will be responsible for reasoning about the gaps in our multi-layered detection system and proposing generalizable ML solutions. You will have a significant impact on our technical roadmap, guiding how our diverse set of detection models-spanning behavioral analysis, natural language understanding, and deep learning systems-work in concert. This is a unique opportunity to shape the future of our ML architecture, from evolving our core training and deployment strategies for a global infrastructure to defining how our core ML capabilities can be exposed as scalable services to power other products across the company. What you will do Serve as a technical leader and subject matter expert, providing architectural guidance and mentorship across multiple machine learning workstreams. Architect and design generalizable ML systems to address the most critical gaps in our detection capabilities, moving beyond incremental improvements. Reason holistically about our entire detection engine, defining the architectural vision for how different classes of models-from heuristic and behavioral to complex deep learning systems-should integrate and operate. Drive the technical roadmap for foundational, long-term projects, such as evolving our global model training paradigms and creating centralized ML capabilities that can be leveraged as platforms by other teams. Provide technical mentorship and feedback on ML decisions across different workstreams, elevating the performance of the entire team. Own the end-to-end ML lifecycle: from data analysis, feature engineering, and model prototyping to working with infrastructure teams on productionization, deployment, and monitoring of large-scale models. Investigate complex model performance issues, applying a deep theoretical understanding of machine learning and deep learning to diagnose and resolve them. Continuously adapt our systems to new, unseen attacks by developing and refining our automated model retraining and evaluation pipelines. Must Haves 8+ years of experience designing and building high-impact, customer-facing machine learning applications. Proven experience working on ML at scale with direct product impact in mature ML industries such as recommendation systems, ad tech, quantitative finance, or fraud detection. Strong grasp of the theoretical limitations of deep learning models and a systematic approach to investigating and debugging poor model performance. Demonstrated experience in the productionization of large-scale ML models in fast-feedback environments. Ability to reason about abstract system gaps and propose generalizable, architecturally sound ML solutions, not just point fixes. Expertise across the entire ML lifecycle, from data exploration and feature engineering to model deployment and online scoring. Fluency in Python and ML frameworks like Scikit-learn, PyTorch, or TensorFlow. BS degree in Computer Science, Applied Sciences, Information Systems, or a related engineering field. Nice to Haves MS or PhD degree in Computer Science, Electrical Engineering, or another related engineering/applied sciences field. Experience leading multi-quarter, cross-functional ML projects. Experience with MLOps tools and building scalable data pipelines. This position is not: A research-oriented role that's two-steps removed from the product or customer #LI-ML1

About the Role Abnormal AI is looking for a Machine Learning Engineering Manager to lead the 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 8% of the Fortune 1000 ( and ever growing ). In a landscape where a single successful attack can lead to financial losses of millions of dollars, the Attack Detection team plays the central role of building an extremely high recall Detection Engine that can operate on hundreds of millions of messages at milliseconds latency. The Attack Detection team's mission statement is to provide world-class detector efficacy to tackle the ever changing adversarial 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). These signals are then combined and utilized to train highly accurate model based as well as heuristic detectors. Additionally, to continuously adapt to new unseen attacks, the team builds out different stages in our automated model retraining pipelines including data analytics and generation stages, modeling stages, production evaluation stages as well as automated deployment stages. The EM will report to the Senior EM of the Message Detection Team, and will lead a team that is primarily composed of machine learning engineers. The EM will be responsible for managing the execution of the roadmap and deliverables while optimizing both human and system resource utilization. The Engineering Manager's success or failure impacts our ability to build and iterate on the detection decisioning system at an extremely high recall, enabling us to respond to current and future attacks. Preventing such attacks which cause significant customer workflow disruption is the core of our business and that makes the success of this team, and its leader, so massively impactful. What you will do Own the execution success of the quarterly roadmap for the Attack Detection team; engage continuously with the Tech Leads to help adjust and prioritize current roadmap items according to the team's charter and company priorities. Deliver on: Extremely high recall detector engine in an adversarial environment using model based as well as heuristic detectors. Automated model retraining pipelines based continuous ML deployment system to automatically ‘learn' from new patterns. Text based signal models to capture and model suspiciousness of email content in multiple languages. Own both directly customer impacting metrics and system metrics and able to work with the team to proactively identify new attacks and repair degradations: Recall ie False Negative metrics for our customer base across various attack types. Overall attack and precision metrics for highly flagging generalized ML models. Automation metrics for responses to customer specific requirements Own the machine learning feature consumption layer for both message metadata/content and current/historical user behavior type of signals and and systems and processes to continuously incorporate new features types into existing and new ML models. Drive processes to enable the team to deliver on projects that are set by TLs as part of the technical roadmap. Manage the quarterly roadmap updates, project time estimates, weekly sprint planning, day-to-day standups Identify risks on project delivery (technical, operational, dependency risks) and escalate to appropriate technical leads Able to assess progress in a metrics-oriented manner Provide continuous feedback Responsible for mentoring and growing the engineers on the team by providing constructive feedback at regular intervals to help them successfully execute high impact projects. Drive Stakeholder alignment : Collaborate with the platform and infrastructure initiatives on company wide initiatives to help increase efficiency, customer adoption and engineer effectiveness goals. Drive stakeholder alignment: Proactively identify and collaborate with platform and infrastructure teams on company-wide initiatives including Must Haves 2+ years experience of managing data driven (ML) product teams running at large scale data ( 100M+ ) and ability to guide a team technically in this respect. 3+ years experience designing, building and deploying machine learning applications in one of the domains of text understanding, entity recognition, NLP experience, computer vision, recommendation systems, or search. 4+ years of hands-on experience in building and safely shipping backend heavy product ML adjacent systems at high velocity. Ability to understand business requirements thoroughly and bias toward guiding the team to build a simplest yet generalizable ML model / system that can accomplish the goal. Metrics driven culture: Has led a team of engineers in building out systems and displayed the ability to define metrics of excellence and setup processes to continuously monitor and maintain high standards on metrics. Be Customer obsessed: Worked with multiple stakeholders to gather requirements and then prioritize and balance against the team's roadmap. Set High standards - sets high standards and expectations for project execution for themselves and the whole team. Nice to Have Familiarity with cyber security industry MS degree in Computer Science, Electrical Engineering or other related engineering field Experience with hiring and retention of top talent #LI-ML1

About the Role Abnormal Security is seeking a Staff Backend Software Engineer to join our Detection Team. The Detection Division is at the forefront of developing cutting-edge technology to identify and thwart sophisticated email and cloud-based attacks that were previously undetectable, contributing to a safer digital world. As a Staff Software Backend Engineer focusing on the Detection's Serving Platform, you will be instrumental in scaling and optimizing our high-throughput, low-latency scoring infrastructure to ensure a fast, responsive, stable, and reliable experience for our customers . The ideal candidate will possess: A proven track record of scaling high-throughput, low-latency model scoring infrastructure Experience in maintaining 99.99% uptime for services handling 50k+ QPS A first-principles approach to architecting scalable, customer-centric solutions A passion for solving complex, real-world problems with pragmatic solutions Strong ownership mentality and impact-driven outlook on efforts and growth Ability to iterate rapidly and autonomously on novel challenges Experience with performance engineering - in identifying and resolving bottlenecks in systems and improving the performance in an iterative way Key Responsibilities Lead the architecture, design, and implementation of highly scalable backend services and infrastructure supporting our world-class Detection Engine Spearhead critical projects to meet ambitious goals, such as scaling components of Detection's Scoring Pipeline by 10x while maintaining or improving performance Collaborate closely with ML Engineering teams to gather requirements, provide technical leadership, and drive execution of infrastructure improvements Mentor and coach junior engineers through 1-on-1s, pair programming, and high-quality code and design reviews Continuously optimize system performance, reliability, and efficiency to meet growing demand and evolving threat landscape Requirements 8+ years of professional experience as a hands-on engineer building and scaling data-intensive products Extensive experience with real-time, online, high-throughput & low-latency distributed systems Proven ability to maintain 99.99% uptime for services handling 50k+ QPS Strong track record of cross-functional collaboration and driving complex projects to completion Demonstrated leadership in setting and maintaining high standards for project execution and code quality Experience in fast-paced or start-up like environment Experience with cloud-native architectures and microservices Experience with event-driven architecture such as Kafka, Pub/Sub, etc. Preferred Qualifications Familiarity with ML systems/products and distributed system technologies (e.g., Python, Golang, Kafka, Redis, Docker, Kubernetes, feature serving platforms, ML training and serving infrastructures) Hands-on experience optimizing high-throughput online systems MS or PhD in Computer Science, Electrical Engineering, or a related field Familiarity with the cybersecurity industry or fraud detection and its unique challenges #LI-ML1

About the Role Abnormal AI is seeking a motivated Senior Customer Trust Analyst to join our Security & Privacy team. In this pivotal role, you will lead our customer trust initiatives, focusing on supporting financial institutions and their banking customers. You will partner closely with cross-functional teams, including sales, legal, compliance, product, and engineering, to ensure that our trust communications, documentation, and processes not only meet but exceed the stringent requirements of global banks. This role blends strategic oversight with hands-on execution. You will manage complex bank security questionnaires and due diligence processes, refine response strategies to align with financial regulations, and build tailored trust narratives that directly support winning deals with large financial institutions. By leveraging your expertise in bank compliance programs and security operations, you will play a critical role in accelerating Abnormal's growth in the financial sector. This is an opportunity to make a measurable impact on revenue, while also advancing the maturity of our customer trust program. Who you are A strategic thinker who thrives in dynamic, fast-paced environments and drives initiatives forward with confidence and expertise. Possesses advanced analytical skills, adept at leveraging data to identify trends and develop strategic recommendations for trust, privacy, and security initiatives. An influential communicator who excels at translating complex technical concepts into clear, actionable insights for both technical and non-technical audiences. A collaborative team member committed to fostering open communication and working effectively with legal, privacy, compliance, and product teams to achieve organizational goals. High attention to detail, process, and organization with strong project management skills to ensure accountability and results Ability to adapt to change, including evolving business and technical environments, and manage multiple priorities while meeting deadlines in a fast-paced environment Dedicated to upholding the highest ethical standards, ensuring that sensitive information is managed with unwavering discretion and integrity. What you will do Lead the end-to-end management of security and privacy questionnaires, applying audit methodologies to ensure accuracy, defensibility, and completeness. Translate Abnormal's controls and policies into bank-ready trust responses, mapping them against relevant regulatory frameworks. Develop and maintain auditor-grade documentation, ensuring content is evergreen and aligned with external standards. Collaborate with compliance, legal, and product to refine trust communications for financial institution due diligence. Partner with sales to support security questionnaires with audit-ready deliverables that accelerate bank deal cycles. Use data-driven analysis to identify control gaps, trends, and process risks; present findings and recommendations to senior leadership. Act as a liaison with bank auditors and compliance stakeholders to build confidence in Abnormal's trust program. Drive continuous improvement by embedding audit best practices into trust operations. Must Haves 4+ years in Big 4 audit, advisory, or technical compliance roles, ideally supporting financial services clients. Strong familiarity with banking compliance standards (GLBA, SOX, ISO 27001, NIST, SOC). Demonstrated success supporting third-party risk assessments and due diligence for banks or highly regulated enterprises. Exceptional written and verbal communication skills; proven ability to craft audit-ready reports and executive-facing trust narratives. Strong project management skills, with a track record of leading multiple concurrent compliance projects. Collaborative mindset, with experience coordinating across legal, compliance, product, and sales teams. Nice to Have Direct experience in winning or enabling deals with banks through security and compliance assurance. Prior consulting experience supporting large-scale vendor risk assessments or bank audits. Familiarity with GRC platforms (Safebase, ServiceNow). Relevant certifications such as CPA, CISA, CISSP SaaS industry experience with emphasis on trust, compliance, or privacy. #LI-EM5

About the Role Abnormal AI is looking for a Senior Application Security Engineer to help build the next generation of secure AI-powered cybersecurity applications at scale. This is a senior IC-level role that blends deep application security expertise with strong engineering fundamentals. You'll focus on integrating security into every phase of our software development lifecycle, conducting comprehensive security reviews, and partnering with engineering teams to build defensible architectures. As a technical leader, you will own the security architecture and development of secure coding practices while ensuring security is a foundational partner to our engineering stakeholders. You'll mentor junior engineers, act as a technical liaison across teams, and contribute directly to keeping our applications and customers secure. This is a role for engineers who are intellectually curious and motivated to bridge the gap between security principles and application development execution. Who you are: An intellectually curious, solution-focused engineer with a security mindset who thrives in fast-paced environments A technical leader who can architect secure application solutions while maintaining engineering velocity Someone who thinks like an attacker but builds like a defender - understanding both offensive and defensive security principles A collaborative engineer who can translate security requirements into actionable development tasks A mentor who enjoys teaching secure coding practices and security architecture to junior engineers What you will do Lead threat modeling and security architecture reviews with engineering teams by translating security risks into development actions. Architect, build, and maintain security tooling and integrations that enable secure development workflows (e.g., SAST, DAST, SCA, IAST tools). Collaborate with Engineering, DevOps, and Platform teams to build scalable security controls via Infrastructure-as-Code and secure CI/CD pipelines. Design and deploy automated security testing frameworks to identify vulnerabilities early in the development process. Serve as a hands-on technical contributor during security incidents by analyzing application-level behavior and enhancing response processes. Mentor and support junior engineers on secure coding practices, security architecture, and security tooling integrations. Evaluate and uplift application security tooling across commercial and open-source capabilities by focusing on scale, efficiency, and precision. Define and track key security posture metrics, building dashboards or reports to visualize security coverage and vulnerability trends. Partner with engineering teams to implement and maintain security controls across applications and services. Stay current with emerging AI/ML security threats, evaluating them for business applicability and integration. Must Haves Proven delivery in application security engineering roles, ideally in cloud-native environments with modern development practices. Hands-on experience with security testing tools (SAST, DAST, SCA, IAST) and working knowledge of security automation in CI/CD pipelines. Strong programming skills in Python, Go, Java, or JavaScript/TypeScript; proficiency with Git, Linux, and modern development frameworks. Expertise in web application security including OWASP Top 10, authentication/authorization, cryptography, and secure API design. Experience with threat modeling frameworks (STRIDE, PASTA, LINDDUN) and security architecture review processes. Comfortable investigating application logs, tracing security events, and contributing to incident analysis workflows. Proven ability to influence and collaborate cross-functionally with engineering, DevOps, and product teams. Strong written communication and documentation skills and being able to convey complex security concepts clearly. Background with securing modern application architectures including microservices, containers, and cloud-native applications. Nice to Have Experience working in fast-paced or startup environments with sometimes ambiguous ownership lines. Familiarity with AI/ML security concepts including adversarial attacks, model security, and data privacy considerations. Hands-on experience with commercial security tools (Veracode, Checkmarx, SonarQube, Snyk, Burp Suite) Prior experience building security telemetry pipelines or vulnerability management frameworks. Exposure to compliance frameworks (SOC 2, ISO 27001) and how development decisions affect auditability. Familiarity with bug bounty programs and vulnerability disclosure processes. #LI-EM4

About the Role Abnormal Security is looking for a Mid-Market Account Executive to join our Sales org. The Mid-Market sales team is responsible for bringing new, small to medium-sized business into Abnormal's portfolio of customers. This is a full-cycle sales role, working the deal cycle from prospect to close for accounts located in your territory. The ideal candidate will have a hunter mentality, experience in & a passion for cybersecurity, team selling experience, and be ready to hit the ground running. What you will do Sell Abnormal security solutions to your defined territory with the goal to overachieve new annual recurring revenue quota Work Mid Market accounts ( Prospect and generate new business opportunities with Mid Market accounts ( Work with Customer success to ensure a timely renewal and expansion sale opportunities Be a voice for the customer/prospect with internal teams including Sales Engineering/POV team, Product and Marketing to ensure appropriate prioritization to close more revenue. Must Haves Ability to hunt: a disciplined approach to early pipeline development. Comfortable and have demonstrated ability to prospect into Mid-Market accounts with the ability to leverage/ balance the pillars of demand generation: AE prospecting, Marketing, Channel, and Customer referrals. Good qualifier: Ability to uncover/discover customer problems and pains Good presenter: the ability to present and demonstrate value based off customer pain points. Disciplined in sales methodology / time management: Ability to systematically execute a disciplined sales process that can be repeated in parallel without sacrificing quality Ability to develop and present a business case to a customer showing high ROI across different dimensions to multiple stakeholders Ability to extract, document and organize lessons, knowledge and information about customers Ability to guide internal stakeholders through their own internal buying processes Grit; ability to find success in an early-stage environment without all the resources/teams available to much larger organizations Good understanding of how to leverage other departments including Sales Engineering, Marketing, Product and Customer Success. Cultural fit: VOICE Velocity to outpace attackers and outpace our competition Ownership to empower new leaders to step up and take action Intellectual Honesty to uncover the best ideas and the right actions Customer Obsession to focus us on what is most valuable Excellence to achieve our ambition of being the best Nice to Haves 2+ years of experience selling in cybersecurity 4 Years in an individual contributor role MEDDIC, MEDDPICC, or Command of the Sale sales methodology training #LI-TY1

About the Role We are looking for an engineering leader to run the Federal Operations team. You will stabilize and mature the platform-owning service reliability, release safety, and continuous compliance-so we can confidently expand customer coverage and delivery velocity. You'll manage and grow a high-performing team, build strong cross-functional muscle, and deliver predictable outcomes in a regulated environment. What You'll Do Lead and grow Gov SRE to operate a secure, reliable, and scalable government environment (people leadership, hiring, coaching, performance, and culture). Enforce SLOs/SLIs, incident response, on-call, and change management processes aligned to internal risk thresholds. Drive platform stabilization: reduce toil, harden baselines, improve observability, and shrink MTTR through runbooks, automation, and quality guardrails. Own safe delivery to the Gov environment: plan and orchestrate releases, change reviews, and rollbacks; improve CI/CD and IaC workflows for repeatable, auditable change. Build and prioritize an execution roadmap for Gov v2.0 launch (scale product enablement in Gov, reduce operational drag, and improve deployment lead time without increasing risk). Improve cost, performance, and resiliency posture in GovCloud through architecture reviews, reliability testing, capacity planning. Report clear metrics, risks, and progress to stakeholders; proactively escalate blockers and propose mitigations. What You'll Bring (Must-Haves) 7+ years in SRE/Infrastructure/Platform Engineering operating customer-facing services at scale. Hands-on leadership in incident management, SLOs/SLIs, observability, and change/release management. 2+ years managing SRE/Infra/FedOps teams with on-call ownership, including hands-on leadership in incident management, SLOs/SLIs, observability, and change/release management. Practical experience with cloud infrastructure (AWS preferred), Kubernetes/containers, Terraform or similar IaC, and modern CI/CD. Strong cross-functional collaboration with Security/Compliance, Product & Eng, and GTM; excellent written/runbook documentation and stakeholder communication. Track record of automation that reduces toil and improves reliability, auditability, and developer productivity. Ability to set clear goals/metrics, manage a prioritized roadmap, and deliver outcomes through the team. Depth in incident tooling and telemetry (e.g., metrics, tracing, logging) and alert hygiene. Experience operating in AWS GovCloud. Hiring and scaling a small team in a fast-moving, high-accountability environment. How You'll Partner Product onboarding to Gov, dependency readiness, release planning, and quality gates. Partner across teams in platform infrastructure: shared patterns/modules, CI/CD safety, IaC standards, and golden-path delivery. Customer-facing teams: deployment readiness for POVs and go-live, incident comms, and reliability posture for federal customers. #LI-ML1

About the Role (This position requires you be in the SF Bay Area, you will be expected to work roughly 25% in office) At Abnormal Security, we safeguard the world's largest enterprises from cybercrime. We protect our customers against adversaries who are constantly evolving their techniques and tactics to outwit and undermine the traditional approaches to Email Security. That's what makes our novel behavioral-based approach so…Abnormal. Abnormal has consistently been named as one of the top cybersecurity startups, and our behavioral AI system has helped us win various cybersecurity accolades. We've built our reputation & brand through an industry-leading email security solution, which is currently trusted to protect more than 20% of the Fortune 500. Now is the time for Abnormal to expand our ambitions and potential to add even more value for our customers beyond email. As a Software Engineer 1 on our new Identity Security initiatives, you'll build protections for non‑human identities across complex enterprise environments. This is a 0→1 founding product team that requires a creative, incubator mindset-rapid prototyping, tight feedback loops, and comfort with ambiguity. You will work under the top engineers in the company, gaining significant mentorship and growth through close collaboration and rigorous design practices. What you will do Build discovery, classification, monitoring, and protection for machine identities and their agentic actions. Ship guardrails and policy engines that enable safe automation while preventing misuse, escalation, and anomalous behavior. Create high‑availability pipelines that ingest and correlate identity, authorization, and behavioral signals from cloud, SaaS, IAM/SSO, and audit logs. Drive 0→1 iteration: prototype quickly, test assumptions, learn from usage, and scale simple solutions. Collaborate across security, platform, and data teams; write and review technical designs; and participate in core SDLC rituals. Must Haves 1+ years building software applications. Experience productionizing large‑scale, data‑intensive systems. High velocity and creativity in solving technical challenges. Experience & desire to adopt & improve AI-native development workflows. Strong debugging with logs, metrics, and signals. Ability to translate business requirements into high‑quality software. Ability to independently solve complex problems and work cross‑functionally. BS in CS/SE/IS or related field. Nice to Have Experience with Go and Python. Experience in IAM, non‑human/machine identities, secrets management, workload identities, OAuth/OIDC, SCIM, SSO, or policy engines. Experience in cybersecurity or related industries. Experience with big data, statistics, and ML for identity/behavioral risk modeling. #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:$127,500-$150,000 USDSan Francisco/New York Base pay range:$140,300-$165,000 USD Abnormal AI is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status or other characteristics protected by law. For our EEO policy statement please click here . If you would like more information on your EEO rights under the law, please click here .

About the Role Abnormal AI is seeking a highly motivated and experienced Senior Accountant to join the Corporate Accounting team. This role will be a key contributor to the month-end close, financial reporting and operational accounting processes, while driving improvements to efficiency and scalability across the accounting function. The ideal candidate is a hands-on accounting professional with strong technical knowledge, analytical thinking and a proactive approach to solving problems. This person thrives in a fast-paced, high-growth environment, takes ownership and is eager to build processes that support a world-class Finance organization. Role and Responsibilities Own key areas of the monthly close process, including journal entries, reconciliations and variance analysis Ensure accuracy, completeness and compliance with U.S. GAAP Participate in the global consolidation process, ensuring accurate aggregation of financial data from international subsidiaries Prepare and review supporting schedules for internal and external financial reporting Assist with the preparation and filing of various local and regulatory filings Partner with FP&A and key business partners to explain results and provide meaningful commentary on financial fluctuations Support the development of scalable processes and accounting documentation Support SOX readiness and internal control documentation Prepare audit-ready workpapers and assist with external audit requests Develop and maintain accounting policies and procedures to ensure alignment with accounting standards and best practices Identify and implement opportunities to improve the accuracy and timeliness of the financial close process Leverage systems and AI tools to automate and streamline accounting workflows, enhance data accuracy and reduce manual effort Perform various ad-hoc projects as needed In this job, you will bring these skills: 4+ years of progressive experience in accounting, including experience in a public accounting firm or high-growth corporate environment. Bachelor's degree or higher in accounting, finance, or related field CPA or CPA candidacy strongly preferred Indepth knowledge of U.S. GAAP and general ledger accounting principles Proven ability to analyze data, identify issues and drive solutions independently Excellent attention to detail, organization and time management Proven ability to manage multiple priorities and meet deadlines in a fast-paced environment Strong communication and interpersonal skills; comfortable working cross-functionally Ability to operate in a fast-paced, rapidly evolving, highly transactional and data-driven role Proficiency with NetSuite strongly preferred Experience incorporating AI tools into daily workflows to improve efficiency, accuracy and automation of accounting processes is highly valued #LI-AW1

About the Role Abnormal AI is hiring a GTM Finance Manager to serve as the financial backbone of our Go-To-Market (GTM) organization-Sales, Customer Success, and Marketing. Reporting to the Sr. Director of GTM Finance, this role will drive planning, expense management, and operational visibility across the full GTM P&L. This is both a strategic and highly operational role. You'll lead annual and quarterly GTM planning cycles, build headcount and capacity models, and deliver executive-ready reporting that drives accountability and transparency. You'll partner cross-functionally with GTM Ops and Finance leaders to harmonize planning frameworks, refine key metrics, and perform scenario analyses that inform international expansion, new GTM motions, and investment trade-offs. The ideal candidate is an expert in GTM financial management with a forward-looking mindset-equally comfortable optimizing expenses, evaluating business cases, and deploying AI-enabled forecasting tools to improve accuracy and scalability. In a fast-growing, global cybersecurity enterprise, your impact will shape how we invest resources, measure performance, and accelerate sustainable growth. What you will do Lead GTM Planning Cycles: Drive annual, quarterly, and monthly GTM planning processes, consolidating inputs across Sales, Customer Success, and Marketing to ensure alignment with corporate goals. Own the GTM P&L: Consolidate and manage the GTM P&L, providing financial visibility, transparency, and accountability across all customer-facing functions. Headcount & Capacity Modeling: Build and maintain headcount, capacity, and productivity models that guide hiring strategies, productivity benchmarks, and long-term growth decisions. Cross-Functional Partnership: Partner closely with Sales Ops, CS Ops, and Marketing Ops to harmonize planning frameworks, align performance metrics, and ensure operational execution supports financial objectives. Scenario Planning & Sensitivity Analysis: Perform scenario modeling and sensitivity analyses to assess evolving business models, international expansion, pricing strategies, and new GTM motions. Executive Reporting & Insights: Deliver executive-ready reporting and analysis for GTM and Finance leadership, including variance analyses, ROI tracking, investment trade-offs, and strategic recommendations. Ad Hoc Strategic Projects: Support and lead special projects that cut across GTM functions, providing financial insight, bandwidth, and connective tissue between business units. Champion Forecasting Innovation: Introduce and champion modern, AI-enabled forecasting tools and methodologies to improve accuracy, scalability, and speed of decision-making Expense Optimization: Identify, track, and optimize GTM operating expenses, ensuring resources are allocated efficiently to maximize return on investment. KPI Development & Governance: Define, monitor, and refine key GTM financial and operational metrics, establishing a governance framework that drives accountability across functions. Investment Business Cases: Develop financial models and business cases for incremental GTM investments (e.g., new markets, programs, or partnerships) to guide strategic decision-making. Process Standardization & Automation: Build repeatable, scalable processes for planning and expense management, leveraging automation and advanced analytics to reduce manual effort. Must Haves 5-8+ years of progressive experience in FP&A, Strategic Finance, or BizOps, preferably within high-growth B2B SaaS or cybersecurity. Proven track record supporting GTM functions (Sales, Customer Success, Marketing) with financial planning, reporting, and investment decision-making. Expert financial modeling capabilities, with the ability to build driver-based, headcount, capacity, and scenario models from the ground up. Hands-on experience managing and consolidating multi-department P&Ls, ensuring visibility, accountability, and actionable insights across functions. Exceptional cross-functional influence and communication skills, able to partner credibly with GTM leaders, Ops teams, and executives to align on strategy and execution. Advanced proficiency in Excel / Google Sheets, with experience using modern planning platforms (Pigment, Anaplan, Adaptive, or equivalent) to scale processes. Analytical storytelling expertise, capable of translating complex data and models into clear, compelling narratives for senior leadership. Comfort with ambiguity and fast-paced environments, operating with ownership, urgency, and precision while scaling processes in a dynamic global business. Forward-looking, technology-driven mindset, with exposure to AI-enabled forecasting, planning automation, or advanced analytics tools preferred. Nice to Have Experience with AI-enabled finance platforms or predictive analytics for planning/forecasting. Exposure to cybersecurity, SaaS enterprise GTM, or global expansion models. Familiarity with usage-based pricing, multi-product GTM, or enterprise deal economics. Experience supporting pre-IPO or post-IPO operating rhythms. Background in consulting, strategic operations, or investor-facing finance roles. #LI-LG1

About You 10+ years of enterprise sales experience with a demonstrated track record of exceeding quota in security, networking, and/or software solution environments. 3+ years leading high-performing sales teams responsible for acquiring new logos and driving expansion across existing customers. Proven ability to lead teams through the entire sales cycle, from top of funnel pipeline generation, conversion to deal closure. Delivering measurable revenue growth. Self-motivated, results-driven, and personally accountable for consistently exceeding targets and raising performance standards. Demonstrated success closing complex enterprise deals involving multiple stakeholders, particularly in emerging or disruptive technology categories. Track record of closing high-value enterprise transactions ($200K-$1M+) involving cross-functional decision-makers and executive-level buy-in. Hands-on experience building and scaling high-performing teams within fast-paced, rapidly changing environments. Skilled at developing and sustaining trusted relationships with executives across customer and partner organizations. Strong presentation and communications skills, competent translating technical features into business value. Strong experience in value-based, consultative selling methodologies including Force Management, Challenger, and MEDDIC frameworks. Executive-level presence with outstanding verbal, written, and presentation skills. High comfort operating in a fast-paced, metrics-driven environment where change is constant. In this job, you will bring these skills Recruit and hire exceptional enterprise sellers;on time, within budget, and with a focus on long-term culture fit and performance. Lead, coach, and develop the team to hit key productivity metrics and accelerate toward quota attainment. Establish a disciplined approach to pipeline generation across multiple channels: self-direct outbound, marketing campaigns, sales development, and channel & eco-system partnerships to accelerate new business. Drive consistent deal execution and forecast accuracy through deep pipeline inspection, active deal coaching, and data-driven forecasting. Partner closely with Sales Engineering to deliver impactful product demonstrations and a repeatable technology validation / proof-of-value program. Develop strategic territory and account plans in partnership with your team to drive long-term customer value, high renewal rate, revenue expansion & customer referrals. Build strong executive relationships with customers and prospects across the region to drive high retention, upsell, and advocacy. Deliver accurate weekly, monthly, and quarterly revenue forecasts to executive leadership through rigorous pipeline management, disciplined deal inspection, and a consistent forecasting methodology. Skilled at building and expanding channel partnerships that accelerate pipeline creation and scale regional go-to-market efforts. Lead Quarterly Business Reviews to assess sales productivity, execution against plan, and progress toward strategic objectives, while identifying opportunities to pivot where necessary to ensure alignment and goal attainment. I dentify, engage, and close high-impact opportunities by building trusted relationships with executive stakeholders (CISO, CIO, CTO) across enterprise accounts in the region. Role Responsibilities and Deliverables A builder's mindset: You don't wait for things to be perfect-you create structure, processes, and culture where they don't yet exist. #velocity You know that talent defines outcomes. You're intentional about hiring, committed to coaching, and fully accountable for delivering (exceeding) the region's revenue. A commitment to fostering a culture of accountability, teamwork, and execution. Knowing high standards and mutual support go hand in hand. An understanding that data and process are levers to scale performance, not roadblocks to success. Great leadership means obsessing over the fundamentals: recruiting world-class talent, ramping with speed and effectiveness, retaining top performers, and delivering results. Recruit. Ramp. Retain. Revenue. Partner with your team to drive full-cycle sales within enterprise accounts (3,000+ mailboxes)-from initial engagement through contract close and post-sale expansion. Recruit and hire exceptional enterprise sellers. On time, within budget, and with a focus on long-term culture fit and performance while continuously building a strong bench of future candidates to stay ahead of team growth and attrition. Drive consistent deal execution and forecast accuracy through deep pipeline inspection, active deal coaching, and data-driven forecasting. Maintain relationships with key region customers to ensure timely renewal and upsell opportunities. Serve as the voice of the customer and prospect across internal teams: Sales Engineering, POV, Product, and Marketing to ensure priorities are aligned and focused on customer satisfaction & accelerating revenue. #LI-OB1

About the Role Abnormal AI empowers enterprises of all sizes to combat cybercrime with our advanced cloud products. As the threat landscape continuously evolves, we emphasize vigilance and adaptability in our defense strategies. The Detection Data Science team plays a crucial role in providing insights into current and historical product performance, emerging attack trends, and opportunities to enhance our detection capabilities. This requires accurate and timely data sourced from numerous product applications and thousands of detection signals across billions of emails. The team integrates all relevant data into a comprehensive analytics pipeline using DBT (Data Build Tool). This pipeline facilitates a wide range of functions, including the creation of metrics and dashboards, data analysis, model development, and the generation of customer reports. Abnormal AI is looking for a Analytics Engineer to join the Detection Data Science team. The Analytics Engineer will be dedicated to developing, maintaining, and expanding the DBT analytics pipeline to support Abnormal AI's data-driven decision-making processes. This role is core and central to the Data Science's team charter to ensure the reliability, scalability, and efficiency of our analytics infrastructure, enabling the organization to harness the power of data across all regions. What you will do Full ownership of the DBT analytics pipeline, ensuring its reliability and performance through constant monitoring, maintenance, and optimization Responsible for designing, developing, and implementing innovative data models to enhance our analytics capabilities, while collaborating closely with stakeholders to deliver top-notch data solutions. Expand the DBT analytics pipeline into new regions, making sure to comply with regional data regulations and standards. Build and maintain the DBT analytics pipeline within the FedRAMP environment, adhering to strict security and compliance requirements. Additionally, you'll create and manage a Global DBT pipeline, integrating non-PII data from all non-regions into a unified workspace. Ensuring data consistency, accuracy, and accessibility across our global analytics infrastructure will be a key part of your responsibilities. Innovation: Continuously seek and implement innovative solutions to improve the analytics pipeline. Must Haves Experience on working in Python and Airflow to handle various data orchestration tasks in a workflow management software 3+ years of experience working in large scale data-driven landscapes especially in the data transformation layers Expert in writing complex queries and building data models in SQL. 2+ years of experience with using the DBT (Data build tool) technology Understanding and application of software engineering principles to analytics code Experience on working in 1 programming language ( Python / R ) to handle various data orchestration tasks in a workflow management software (eg. Airflow) BS degree in Computer Science, Applied Sciences, Information Systems or other related quantitative fields. Proven experience translating business processes into data structures that are optimized for analysis. Proven experience working effectively with cross-functional teams. Nice to Have MS degree in Computer Science, Electrical Engineering or other related engineering field Experience with data pipeline tools ( Snowflake, Redshift etc) or ETL tools ( AWS Glue ) Experience with Business Intelligence tools (e.g., Tableau, Looker) #LI-RT1

About the Role Abnormal AI is seeking a Director, Technical Marketing to own the technical narrative of the company, shaping how our products, architecture, and AI-driven threat detection capabilities are communicated across all GTM channels. You will guide a growing team of technical marketers and drive alignment across Competitive Intelligence, Product, PMM, Sales Engineering, and Enablement. This role requires a proven, strategic leader who can operate across both technical depth and business impact, 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 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 Lead the development of technical launch deliverables-including demo scenarios, validation content, and internal enablement tools-in partnership with product and PMM Must Haves 10-12+ years of experience in technical marketing, product marketing, solutions engineering, or related technical GTM roles, including 3+ years leading technical marketing. 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