Abnormal AI is the leading AI-native human behavior security platform, leveraging machine learning to stop sophisticated inbound attacks and detect compromised accounts across email and connected applications.

Abnormal AI

Equity / Stock Options

Bonus

Abnormal AI is launching Identity Threat Protection (ITP), a product combining Identity Threat Detection and Response (ITDR), Identity Security Posture Management (ISPM), an Identity Graph, and Adaptive Identity Reset, as the centerpiece announcement at Black Hat USA on August 1, 2026. ITP detects and disrupts multi-stage identity attacks correlated across email, identity provider (Okta, Microsoft Entra), and SaaS: help-desk social-engineering takeover, OAuth/token abuse, MFA fatigue, payroll and direct-deposit fraud, and data exfiltration.

The Identity Specialist is a technical subject matter expert who owns field credibility for ITP end to end, from the first identity deep dive through proof of value (PoV) design and execution to CSM handoff, across customer segments. This P3 role is an opportunity for a growing SE with identity domain experience to step into a dedicated specialist track on a high-visibility, high-growth product.

Identity has been assessed as the highest complexity product in the FY27 new-product portfolio, warranting three dedicated specialist headcount rather than a part-time overlay model. Leadership expects the need for this function to be ongoing, not limited to launch. This role also serves as the field's primary conduit for structured feedback into the Identity product roadmap.

Lead the 60-minute Identity deep-dive meeting for customers going deep on ITP, ITDR, ISPM, Identity Graph, or Adaptive Identity Reset

Support the PoV motion for Identity/ITDR opportunities alongside senior specialists and the core AE/SE team

Help define and validate PoV success criteria and CARE reports for identity attack scenarios

Partner with Identity product management and engineering to stay current on capability, roadmap, and known gaps

Contribute to the Identity threat library and competitive positioning content

Participate in delivering technical training to SEs, AEs, PSCs, and TAMs as part of the Black Hat enablement curriculum

Surface field feedback (win/loss themes, competitive gaps, capability requests) to senior team members for the product roadmap

Candidates should demonstrate comfort using AI tools to accelerate technical research and content creation. Given the pace of change on a pre-launch product, using AI to rapidly synthesize shifting product documentation into field-ready material is a practical part of this role.

5+ years of presales/Sales Engineering experience in security, with some direct exposure to identity, IAM, or ITDR or an adjacent space

Working familiarity with Okta and/or Microsoft Entra ID architecture, including authentication flows, MFA, and conditional access

Some experience supporting or running technical PoVs/evaluations

Ability to explain multi-stage identity attack concepts to technical audiences, with support in translating to executive audiences

Comfort operating cross-functionally with product, engineering, and marketing under a fast-moving, pre-GA launch timeline

Prior experience at an identity or identity-adjacent vendor (Okta, CrowdStrike, Obsidian, AppOmni, Microsoft)

Familiarity with SaaS Security Posture Management (SSPM), DSPM, or SecOps/SIEM tooling

Actual compensation will be determined based on several non-discriminatory factors including skills, experience, qualifications, and geographic location.
In addition to base salary, this role may be eligible for bonus or incentive compensation, equity, and a comprehensive benefits package.

Abnormal AI uses AI-assisted tools to help our recruiting team prepare for candidate interviews. These tools analyze resume content and role requirements to suggest interview questions and identify areas for the interviewer to explore. They do not make hiring decisions or screen candidates automatically. Every decision about a candidacy is made by a person.


Abnormal AI is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status or other characteristics protected by law. For our EEO policy statement please 

. If you would like more information on your EEO rights under the law, please 

Senior Level

Domain Expertise

Experience

Abnormal AI is seeking a Senior Solutions Architect for Identity Threat Protection to serve as a technical subject matter expert. The role involves leading identity deep-dives, designing and executing Proof of Value (PoV) motions, and collaborating with product teams to refine the ITP roadmap. Key technologies include Okta, Microsoft Entra ID, and various identity security frameworks.

Sales Engineering

Remote - USA

Senior Solutions Architect, Identity Threat Protection

Full Time

Solutions Architect, Identity Threat Protection

We are looking for a highly organized, AI-forward Campaign Program Manager to drive the planning, orchestration, and standardization of integrated marketing campaigns. This is not a traditional program management role. This role serves as the operational hub between the Integrated Campaigns and functional marketing teams, ensuring every campaign has a comprehensive integrated marketing plan and is executed consistently across regions and channels. A strong understanding of campaign strategy is essential.

The ideal candidate thrives at the intersection of strategy, process, execution, and AI-enabled productivity. They will partner closely with Campaign Managers to translate campaign strategies into executable demand plans, coordinate cross-functional execution, and create scalable campaign toolkits that empower regional and field marketing teams.

This individual will be expected to leverage AI tools such as Claude and other emerging technologies to streamline planning, accelerate execution, improve collaboration, and scale campaigns to increase testing velocity, develop repeatable frameworks, and enable teams to move faster and operate more efficiently.

Own and manage the integrated marketing calendar and demand plans across all segments, regions, and campaigns to ensure consistent coverage across the globe. 

Manage and maintain the global campaign messaging framework.

Partner with Campaign Managers to develop and maintain a consistent integrated marketing plan for every campaign, including objectives, target audiences, messaging, timelines, KPIs, demand calendar, and execution requirements. Ensure all active campaign information is centralized, current, and easily accessible across the organization.

Drive alignment across stakeholders and delivery teams, manage dependencies, and proactively resolve resource and execution risks across campaigns. 

Coordinate execution across Digital, Lifecycle, Events, SDR, Marketing Operations, Analytics, and Regional Marketing teams to ensure campaigns are live and in market

Track campaign readiness, execution status, and performance while ensuring alignment to pipeline and go-to-market goals.

Develop campaign-in-a-box toolkits, playbooks, templates, and enablement resources that help regional teams execute campaigns consistently.

Partner with Campaign Managers and Field Marketing to create scalable regional activation plans while allowing for local customization.

Lead campaign enablement and training sessions and drive adoption of campaigns across regions.

Act as the AI champion for Integrated Marketing, identifying opportunities to apply AI across planning, execution, reporting, localization, and field enablement workflows.

Build and maintain a library of prompts, workflows, templates, and AI playbooks that can be leveraged across Campaign, Field, and Functional Marketing teams.

Develop AI-powered campaign planning frameworks that accelerate campaign creation, reduce time-to-launch, and improve execution consistency.

Enable regional and field marketing teams to use AI to personalize campaigns, adapt messaging for local markets, and scale execution with limited resources.

Partner with Marketing Operations and Analytics to explore AI-driven forecasting, campaign insights, and performance optimization.

Drive a culture of rapid experimentation by leveraging AI to create, test, and optimize campaign messaging, channels, audiences, and creative variations at scale.

Evaluate emerging AI tools and agents and recommend new capabilities that improve marketing productivity and effectiveness.

Define and track AI adoption and productivity metrics across the marketing organization.

Manage completion of campaign scorecards, QBRs, and executive updates, - using AI to automate reporting where applicable

Work with functional teams to gather channel-level campaign results 

Support Campaign Managers to facilitate post-campaign reviews and communicate learnings, priorities, and execution readiness across stakeholders.

7+ years of experience in campaign operations, integrated marketing, demand generation, program management, or project management.

Strong understanding of B2B demand generation and integrated campaign execution.

Proven success managing complex cross-functional initiatives and stakeholders.

Experience developing campaign playbooks, enablement programs, or field marketing resources.

Experience leveraging AI tools to improve marketing productivity, scale processes, and accelerate execution.

Strong communication, organizational, and stakeholder management skills.

Data-driven mindset with a passion for process improvement and experimentation.

AI Proficiency

Abnormal is seeking a Campaign Program Manager to drive the planning and orchestration of integrated marketing campaigns. The role focuses on bridging the gap between campaign strategy and execution, leveraging AI tools like Claude to scale productivity and optimize demand plans. Key responsibilities include managing the global marketing calendar and enabling regional teams through scalable toolkits.

Revenue Marketing

Campaign Program Manager

At Abnormal AI, our mission is to protect the world’s largest enterprises from advanced email and collaboration attacks. The Threat Narrative team transforms complex signals from our detection systems into clear, actionable stories that help customers understand the attacks we stop and the value of our platform.

As a Software Engineer, Fullstack on the Threat Narrative team, you will help build the next generation of email-centric narrative experiences across Email Details and Threat Narrative views, with a focus on clearly communicating Abnormal detections to customers. You will work closely with GenAI and LLM-powered systems that distill thousands of low-level detection features and signals into concise, trustworthy explanations that customers can immediately act on. You will implement fullstack features end-to-end, from backend APIs and data contracts through to performant, intuitive UIs in the customer portal and internal tools that surface these explanations in the right context. Your work will directly shape how customers perceive Abnormal’s detection quality and how they reason about threats at scale. This role is ideal for an engineer who enjoys owning well-scoped systems, learning from senior partners, and combining strong engineering fundamentals with product intuition and storytelling.

Design and implement fullstack features across Threat Narrative and Email Details surfaces, including customer portal components, internal analyst tools, and QBR-facing outputs, with guidance from senior engineers.

Implement and evolve APIs and services that generate enriched narratives from attack data, enrichment signals, and GenAI/LLM agents, following established contracts and patterns.

Contribute to data models and explainability contracts that make complex threat decisions more understandable to customers and internal analysts.

Write high-quality, well-tested Python/Django and React/Typescript code, focusing on correctness, performance, and maintainability.

Participate in owning SLAs/SLOs, observability, and incident response for Threat Narrative and Email Details services by building and improving dashboards, alerts, and runbooks in the areas you own.

Collaborate closely with Product, CS, GTM, Threat Intel, Detection, and DS partners to ensure narrative experiences clearly communicate attack context, value, and outcomes for customers.

Engage in design and code reviews, learn from more senior engineers, and surface opportunities to simplify, derisk, and improve existing systems.

2+ years of professional, production-level software engineering experience, with a track record of shipping and operating fullstack web applications in cloud-native environments.

Proficiency in Python and Django (or a similar backend framework), and comfort working with Postgres or similar relational databases.

Experience building modern frontend applications with React and Typescript, including data-heavy or workflow-centric UIs.

Ability to design and work with well-structured APIs and data models for data-intensive applications, with attention to correctness and evolvability.

Experience using metrics, logging, and tracing to debug production issues and understand user behavior in at least one prior system.

Strong collaboration and communication skills, including working effectively with Product and partner engineering teams to translate requirements into clear technical tasks.

Bachelor’s degree in Computer Science, Information Systems, or a related technical field, or equivalent practical experience.

Experience building or integrating LLM/GenAI-powered features (e.g., prompt design, simple agents, or explainability) in production or pre-production systems.

Familiarity with cybersecurity data, threat intelligence, or detection systems, especially in the context of email and collaboration security.

Exposure to big data and batch processing technologies (e.g., Spark, Databricks, Airflow, Kafka) used to power analytics, narratives, or offline enrichment.

Experience collaborating on multi-team initiatives and contributing to shared components, data contracts, or cross-surface UX.

Mid Level

Education

Software Engineer II (Full Stack) at Abnormal AI. The role involves building email-centric narrative experiences and integrating GenAI/LLM-powered systems to communicate threat detections. Primary technologies include Python, Django, React, and TypeScript for end-to-end feature implementation.

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