THE ROLE

Abnormal AI is an AI-native company, and that shapes how every function operates — including Talent Acquisition. This role owns the systems, programs, and AI initiatives that determine how TA operates at scale. You will set the direction for how AI changes recruiting workflows, own the delivery of cross-functional programs end to end, and ensure the TA tech stack and data infrastructure are built for where the business is going.

This is a senior individual contributor role. You own outcomes. You drive alignment across functions without formal authority, and you are accountable for delivery.

WHAT YOU'LL OWN

TA Roadmap & Planning

• Drive the annual TA Operations roadmap and quarterly planning cycles. Translate priorities into a sequenced plan with clear owners, milestones, and dependencies.
• Maintain leadership visibility into roadmap progress. Proactively surface risks, trade-offs, and sequencing decisions before they become blockers.

Cross-Functional Program Delivery

• Own a portfolio of cross-functional programs end to end — from scoping and planning through stakeholder alignment, execution, and retrospective.
• Serve as program lead on a major ATS implementation: define success metrics upfront, manage the plan and risk log, track work in Linear, and keep stakeholders informed at the right level of detail.
• Drive decisions across TA, People Ops, HR Tech, IT, Legal, and Finance. Identify when decisions are stalled, bring the right people to the table, and document outcomes so the work can move.
• Build and maintain stakeholder communication plans for major initiatives — including exec-level updates calibrated to what leadership needs to act.

AI Strategy & Workflow Transformation

• Own the TA AI roadmap. Identify where AI closes real gaps in recruiting workflows, scope and pilot solutions, measure impact, and drive adoption at scale across the TA org.
• Build and maintain AI-powered workflows in Claude and Cowork that reduce manual work and improve how TA operates — sourcing, scheduling, reporting, communications, and beyond.
• Partner with HR Tech, IT, and the broader People organization to evaluate AI tools, manage vendor relationships, and ensure new capabilities integrate cleanly into existing systems.
• Act as the TA team's AI champion: define what AI-native recruiting looks like at Abnormal, train and enable recruiters on new workflows, and measure adoption and outcome lift.
• Stay current on AI capabilities and adjacent tooling. Bring forward-looking recommendations to TA leadership before the need becomes obvious.

Systems & Data Infrastructure

• Own the TA tech stack. Maintain full visibility across tools, vendors, contracts, utilization, and total cost of ownership.
• Evaluate what should stay, change, or be added — and bring a recommendation backed by data every time a decision is due.
• Ensure TA data infrastructure supports accurate forecasting, reporting, and leadership decision-making. Partner with HR Tech and Analytics on integrations and data quality.

Operational Excellence

• Proactively identify where TA processes are slow, inconsistent, or manual. Define the path to fix them and own the implementation.
• Build and maintain SOPs, process documentation, and training materials that enable the TA team to operate at a higher baseline without requiring tribal knowledge.

WHAT YOU BRING

• 7+ years in program management or TA operations at a high-growth tech company, with direct experience inside a talent acquisition function. You know how recruiters work and where the friction lives.
• Proven ability to own and deliver complex, cross-functional programs. You set the plan, manage a portfolio of initiatives simultaneously, drive stakeholders to decisions, and are accountable for outcomes — not just activities.
• Demonstrated skill at influencing senior leaders and driving alignment across functions without formal authority. You know how to calibrate communications to your audience and move decisions forward.
• Hands-on AI fluency. You build and ship workflows in Claude and tools like Cowork today. You can identify where AI closes a real gap, run a pilot, measure lift, and drive adoption — not just use AI for your own work.
• Experience owning an AI project or transformation initiative: scoping it, building stakeholder buy-in, piloting it, and measuring results. You can point to a workflow you changed and the outcome that followed.
• Data-informed. You define success metrics upfront, track outcomes, and bring analysis to leadership in a form they can act on.
• Deep proficiency with TA systems: ATS platforms (Greenhouse, Ashby, Workday), interview tooling (BrightHire, ModernLoop), and the broader recruiting tech stack. Comfortable with PM tools like Linear.
• Clear, direct written communication calibrated to the audience — equally effective in a Slack message, an exec update, and a stakeholder alignment doc.

#LI-JT1

About You

You are a detail-oriented person with a passion for cybersecurity and a positive attitude.  You feel comfortable working in a fast-paced and virtual environment.  Additionally, you have the ability to communicate clearly in both verbal and written communication methods as well as be an active listener.

In this job, you will bring these skills

• Typically requires less than 1 year of related experience
• Typically requires a Bachelor’s degree, or working towards Bachelor's degree
• Proficiency with G Suite (Google) applications
• Familiarity with Zoom

Role Responsibilities

• Perform operational tasks, such as handling high volume intake queues or labeling machine learning data, in a timely manner
• Propose improvements for processes, workflows, product and policies
• Support investigation efforts across a range of critical issues
• Learn about email fraud attack strategies and patterns to prevent an event from occurring
• Works on (a subset) Live Queue, POV data sets, ATO cases, VAC cases
• Task work to help team grow, scale, and mature

#LI-AW1

About the Role

Abnormal AI is seeking a Mid-Market Account Executive to join its dynamic Sales organization in our New York City region. 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 AI 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

About the Role

Abnormal AI is looking for a Content Strategist to join our Content Marketing team and help connect messaging to activation across the business. This role sits at the intersection of campaign strategy, content development, and amplification: you’ll partner with Integrated Marketing and Content Marketing leadership to support campaign messaging, contribute to downstream execution, and help ensure content across channels is cohesive and ready for market.

This is an individual contributor role for someone who is excited to operate in an AI-native environment. You’ll help take raw inputs — including research, customer stories, webinars, and internal materials — and turn them into activation-ready content and derivative assets using modern tools and workflows.

You’ll work across Product Marketing, Integrated Marketing, Social, Editorial, Brand/Creative, and other stakeholders to help Abnormal move faster and get more value from the content we create.

What you will do

• Partner with Integrated Marketing and Content Marketing leadership to support campaign messaging and downstream execution
• Contribute to campaign execution across priority initiatives, helping maintain consistency as messaging is translated into emails, landing pages, social copy, webinars, and other assets
• Build familiarity with the company’s campaigns and messaging, and help help maintain alignment with campaign messaging across outputs
• Review and adapt content across formats to support repackaging and downstream use
• Translate raw inputs — including research, customer stories, internal podcasts, webinars, threat reports, and internal conversations — into activation-ready content and narrative outputs
• Identify opportunities to extend the value of existing content by creating derivative assets (e.g., summaries, slides, clips, videos, or industry-specific cutdowns)
• Help turn existing content and moments into amplification opportunities, including web experiences, campaign packages, contributed content, podcast pitches, and other distribution plays
• Use AI-assisted workflows to accelerate ideation, distillation, repackaging, and content transformation, while applying editorial judgment to refine outputs
• Contribute to building lightweight workflows for slicing, packaging, and distributing content more efficiently across channels
• Operate as a flexible generalist, contributing across a range of content and campaign needs with guidance from Content Marketing leadership

Must Haves

• 2–4+ years of experience in B2B SaaS, cybersecurity, content marketing, or related roles
• Strong writing and editing fundamentals, with the ability to turn complex ideas into clear and concise content
• Experience or strong interest in using AI tools (e.g., ChatGPT, Claude) to create, transform, or repurpose content
• Ability to work across multiple projects and stakeholders in a fast-moving environment
• Willingness to learn, iterate quickly, and adapt to new tools and workflows
• Strong attention to detail and a bias toward action
• Collaborative mindset and openness to feedback

Nice to Haves

• Experience supporting integrated marketing or campaign-based work
• Familiarity with content operations tools (Asana, CMS platforms)
• Experience creating derivative content formats (e.g., clips, summaries, presentations, or multimedia assets)
• Background in cybersecurity, SaaS, or highly technical products
• Experience working in high-growth or fast-changing environments

#LI-

About the Role

The Senior Engineer, Enterprise Platforms builds and runs AI powered agents, copilots, and automations across identity, endpoints, SaaS, collaboration, network, and office IT.

You turn policies, runbooks, and telemetry into reliable AI workflows that reduce manual work, improve security, and make it easier for employees to get things done. You understand code structures and connected systems, work closely with engineers on implementation, and treat AI and automation as first class, observable services.

This role reflects Abnormal VOICE values. You move with velocity, design for long term ownership and governance, use data with intellectual honesty, stay close to customer needs, and aim for excellence in reliability and simplicity.

What you will do 

• Design and ship AI agents and copilots for Enterprise Platforms that automate joiner mover leaver flows, access requests, troubleshooting, and governance reviews
• Wrap existing runbooks and policies in AI powered workflows across internal tools, automations, and conversational interfaces
• Build safe data and integration layers for AI using platform APIs, logs, and internal knowledge content, including retrieval augmented patterns where appropriate
• Implement prompts, tools, and orchestration flows with clear guardrails, access controls, approvals, and audit trails so governance is built in
• Add evaluation, logging, and monitoring so AI features can be tested, rolled out, and debugged like any other production service
• Use AI and event driven patterns to improve lifecycle automation, device baselines, and deprovisioning while staying within security and compliance requirements
• Create self service experiences and enablement content so employees and support teams can resolve common IT needs and questions without escalation
• Lead Tier 3 incidents in your areas and feed incident learnings back into automations, agents, runbooks, and governance rules
• Mentor engineers on AI design, code structure, and evaluation and help shape standards and patterns for AI and automation work inside Enterprise Platforms
• Partner with Security, GRC, IT Service Delivery, AI Enablement, and platform owners to select high value AI use cases and land them safely and quickly

Must Haves 

• 5+ years experience in platform or systems engineering with ownership of complex, connected systems and a strong bias toward automation over manual work
• Strong understanding of code structures, APIs, and integration patterns and how changes in one system affect others
• Familiarity with large language models and practical AI application design including prompts, tools, guardrails, and evaluation
• Hands on experience building or operating AI or automation workflows that integrate with enterprise platforms
• Ability to read and reason about code and automation frameworks and to collaborate effectively with engineers on implementation details
• Solid understanding of identity and access concepts including SSO, MFA, least privilege, provisioning, and device trust
• Comfort with observability practices and defining and tracking metrics such as quality, latency, safety, and cost
• Proven incident and change management habits including root cause analysis, documented follow through, and evidence of improvements
• Clear written and verbal communication that makes complex AI and systems topics understandable for technical and non technical audiences

Nice to Have 

• 5+ years working in remote first and SaaS heavy environments with zero trust concepts
• Experience building or operating internal copilots, workflow or conversational interfaces, or agents for IT, security, or operations teams
• Familiarity with AI orchestration or workflow systems and with evaluation methods such as golden sets or human review
• Awareness of security and compliance frameworks such as SOC 2 or ISO 27001 and how they apply to AI systems and data governance
• Prior experience mentoring others or leading technical work related to AI, automation, or platform governance

#LI-AW1

About the Role

Abnormal AI is looking for a Senior Backend Engineer to join the App Foundations team. App Foundations owns the core customer-centric data and platform services that every Abnormal product depends on — our MPP API and customer data model, the Notifications Platform, License Entitlement, Package Management, Large Model Service (LMS, our internal LLM inference platform), and the MPP Go Service that sits behind our Portal. If a product at Abnormal is launching, scaling, or talking to a customer, it’s almost certainly running on something we own.

This is a senior IC role for a generalist backend engineer who wants to own systems end-to-end, raise the technical and operational bar, and help shape how a platform team operates in an AI-native company. You’ll rotate across our surfaces rather than specializing in one — which means your first year spans API design, distributed systems reliability, LLM inference infrastructure, and the kind of hard, cross-team platform work that determines whether new products ship cleanly.

The ideal candidate is a product-minded, principle-first engineer who takes extreme ownership, communicates crisply, and treats AI tools as a core part of how they build — not a side experiment.

What you will do

• Design, build, and operate high-performance, low-latency services across the App Foundations portfolio — Python/Django, Go, MySQL/PostgreSQL, Kafka, Redis, and ElasticSearch — in close partnership with engineers, designers, PMs, and EMs across R&D.
• Lead end-to-end delivery of platform features and stability workstreams — from tech design and PRR through launch, post-launch ops, and long-term ownership.
• Raise the operational bar: drive SLO-backed reliability work on Tier-0 systems like Notifications and LMS, improve our observability and on-call posture, and reduce unplanned work on the systems you own.
• Contribute to our LLM inference platform (LMS) — model routing and fallback, provider integrations (Azure OpenAI, Bedrock), batch/async inference, cost attribution, and the safety rails that let product teams ship AI features without reinventing the stack.
• Build AI-native internal tools that change how the team operates: automated ticket triage, on-call copilots, post-mortem drafting, customer-request classifiers — following the precedent of our Nora workflow and existing Claude skills.
• Mentor other engineers, drive tech design and PR reviews, and be a credible SME for the systems you own.
• Partner with product managers, TPMs, and peer platform teams (Portal, Customer Journey, Data Security, FedRAMP) to land complex cross-team initiatives cleanly.
• Participate in hiring: write questions, run loops, and help bring the next wave of AF engineers on board.

AI-Forward Hiring

App Foundations is an AI-native team. We expect every engineer — from Day 1 — to use AI coding tools (Cursor, Claude Code, and the rest) as the default way they write and review code, and to design AI leverage into the workflows they own. This role is explicitly for someone who already operates this way and wants to push it further.

In interviews, we’ll look for concrete evidence that you:

• Use AI tools daily to ship faster — and can talk specifically about where they help, where they hurt, and how you’ve adjusted your workflow.
• Have built or shipped something AI-powered beyond the IDE — a script, an agent, a workflow automation, a production feature — that actually changed how work got done.
• Think at the workflow level, not just the keystroke level: you look at an ops process, a support queue, or a team ritual and ask “what should an agent own here?”
• Have opinions about how AI changes the role of a senior engineer in the next 1–3 years, and are excited about a team that treats AI as core infrastructure rather than an experiment.

Because we own LMS, experience building with LLMs in production — provider APIs, evals, model routing, cost and quota management — is a strong plus, but not required.

Must Have Skills

• 5+ years of backend software engineering experience building and operating production services at scale.
• 4+ years on relevant tech stacks — Python (Django) and/or Go; MySQL / PostgreSQL; and hands-on experience with Kafka, Redis, and ElasticSearch.
• 3+ years supporting enterprise-class customers in production, including ownership of SLOs, on-call, and incident response.
• 2+ years of system design experience — demonstrated ability to design, document, and land non-trivial cross-team architectures.
• Proven experience leading multi-quarter projects end-to-end: tech design, implementation, launch, and post-launch operations.
• Demonstrated daily use of AI coding tools in your current workflow, and specific examples of where you’ve used AI to improve how you or your team works beyond just code generation.
• Strong written and verbal communication; proven ability to collaborate autonomously and asynchronously with remote stakeholders.
• Bachelor’s degree in Computer Science or equivalent professional experience.

Nice to Have

• Hands-on experience building with LLMs in production — provider APIs (OpenAI/Anthropic/Bedrock), model routing and fallback, evals, batch inference, or cost/quota tooling.
• Experience with notification delivery systems, licensing/entitlement platforms, or other high-leverage internal platforms used by many product teams.
• Experience building and shipping AI agents or automations (coding agents, ops agents, classifier pipelines) that replaced meaningful manual work.
• Experience mentoring engineers and acting as a tech lead on at least a small squad.
• Master’s degree in Computer Science or a related field.

#LI-AJ1

About the Role

Abnormal AI is looking for a Senior Backend Engineer to join the App Foundations team. App Foundations owns the core customer-centric data and platform services that every Abnormal product depends on — our MPP API and customer data model, the Notifications Platform, License Entitlement, Package Management, Large Model Service (LMS, our internal LLM inference platform), and the MPP Go Service that sits behind our Portal. If a product at Abnormal is launching, scaling, or talking to a customer, it’s almost certainly running on something we own.

This is a senior IC role for a generalist backend engineer who wants to own systems end-to-end, raise the technical and operational bar, and help shape how a platform team operates in an AI-native company. You’ll rotate across our surfaces rather than specializing in one — which means your first year spans API design, distributed systems reliability, LLM inference infrastructure, and the kind of hard, cross-team platform work that determines whether new products ship cleanly.

The ideal candidate is a product-minded, principle-first engineer who takes extreme ownership, communicates crisply, and treats AI tools as a core part of how they build — not a side experiment.

What you will do

• Design, build, and operate high-performance, low-latency services across the App Foundations portfolio — Python/Django, Go, MySQL/PostgreSQL, Kafka, Redis, and ElasticSearch — in close partnership with engineers, designers, PMs, and EMs across R&D.
• Lead end-to-end delivery of platform features and stability workstreams — from tech design and PRR through launch, post-launch ops, and long-term ownership.
• Raise the operational bar: drive SLO-backed reliability work on Tier-0 systems like Notifications and LMS, improve our observability and on-call posture, and reduce unplanned work on the systems you own.
• Contribute to our LLM inference platform (LMS) — model routing and fallback, provider integrations (Azure OpenAI, Bedrock), batch/async inference, cost attribution, and the safety rails that let product teams ship AI features without reinventing the stack.
• Build AI-native internal tools that change how the team operates: automated ticket triage, on-call copilots, post-mortem drafting, customer-request classifiers — following the precedent of our Nora workflow and existing Claude skills.
• Mentor other engineers, drive tech design and PR reviews, and be a credible SME for the systems you own.
• Partner with product managers, TPMs, and peer platform teams (Portal, Customer Journey, Data Security, FedRAMP) to land complex cross-team initiatives cleanly.
• Participate in hiring: write questions, run loops, and help bring the next wave of AF engineers on board.

AI-Forward Hiring

App Foundations is an AI-native team. We expect every engineer — from Day 1 — to use AI coding tools (Cursor, Claude Code, and the rest) as the default way they write and review code, and to design AI leverage into the workflows they own. This role is explicitly for someone who already operates this way and wants to push it further.

In interviews, we’ll look for concrete evidence that you:

• Use AI tools daily to ship faster — and can talk specifically about where they help, where they hurt, and how you’ve adjusted your workflow.
• Have built or shipped something AI-powered beyond the IDE — a script, an agent, a workflow automation, a production feature — that actually changed how work got done.
• Think at the workflow level, not just the keystroke level: you look at an ops process, a support queue, or a team ritual and ask “what should an agent own here?”
• Have opinions about how AI changes the role of a senior engineer in the next 1–3 years, and are excited about a team that treats AI as core infrastructure rather than an experiment.

Because we own LMS, experience building with LLMs in production — provider APIs, evals, model routing, cost and quota management — is a strong plus, but not required.

Must Have Skills

• 5+ years of backend software engineering experience building and operating production services at scale.
• 4+ years on relevant tech stacks — Python (Django) and/or Go; MySQL / PostgreSQL; and hands-on experience with Kafka, Redis, and ElasticSearch.
• 3+ years supporting enterprise-class customers in production, including ownership of SLOs, on-call, and incident response.
• 2+ years of system design experience — demonstrated ability to design, document, and land non-trivial cross-team architectures.
• Proven experience leading multi-quarter projects end-to-end: tech design, implementation, launch, and post-launch operations.
• Demonstrated daily use of AI coding tools in your current workflow, and specific examples of where you’ve used AI to improve how you or your team works beyond just code generation.
• Strong written and verbal communication; proven ability to collaborate autonomously and asynchronously with remote stakeholders.
• Bachelor’s degree in Computer Science or equivalent professional experience.

Nice to Have

• Hands-on experience building with LLMs in production — provider APIs (OpenAI/Anthropic/Bedrock), model routing and fallback, evals, batch inference, or cost/quota tooling.
• Experience with notification delivery systems, licensing/entitlement platforms, or other high-leverage internal platforms used by many product teams.
• Experience building and shipping AI agents or automations (coding agents, ops agents, classifier pipelines) that replaced meaningful manual work.
• Experience mentoring engineers and acting as a tech lead on at least a small squad.
• Master’s degree in Computer Science or a related field.

#LI-AJ1

About the Role

Abnormal AI is seeking a Mid-Market Account Executive to join its dynamic Sales organization in our NYC region. 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-TY1

About the Role

Abnormal AI is looking for a Sales Analytics Manager to join the Field Operations team. This role owns the analytics ecosystem for all of sales, serving as the architect of how our revenue organization measures performance, forecasts pipeline, and makes data-driven decisions. The ideal candidate brings a strong AI-first mindset and hands-on expertise with Gong, Sigma Computing, and Snowflake to build scalable, self-service analytics that directly accelerate business outcomes. You will work cross-functionally with Sales Leadership, Finance, Data Engineering, and the CRO organization to elevate analytics maturity from descriptive reporting to predictive, AI-augmented intelligence.

What You Will Do

• Lead the global rollout of Gong Forecasting across the full AE organization, driving platform adoption, building executive forecast dashboards for CRO-level visibility, and designing AE/RD 1:1 coaching dashboards for Sales Leadership
• Own and evolve the Sigma Computing reporting ecosystem—including Activity Analytics, EOQ Retro, Metrics That Matter, and the GTM Reporting Catalog—replacing manual spreadsheet workflows with scalable, governed BI solutions
• Apply an AI-first approach to analytics: lead a formal Sigma AI POC, identify high-impact use cases where AI reduces time-to-answer for Sales Leadership, and deliver a strategic FY27 roadmap for AI-driven self-service analytics built on Snowflake AI
• Architect and execute the Salesforce Opportunity Split framework end-to-end—from technical requirements and Finance sign-off through pilot deployment, downstream impact analysis, and full Snowflake/Sigma data pipeline parity
• Drive GTM Data Governance by owning the cross-functional Data Dictionary, relaunching the Reporting Council, and formalizing the KPI sign-off and metric codification process with Data Engineering
• Define and document the strategic Reporting Strategy vision, including target-state outcomes, Gold Standard certified reports, and a scalable self-service analytics framework
• Partner with Sales Enablement and Field Operations to build training programs, enablement materials, and adoption strategies that drive lasting behavior change across the revenue organization
• Conduct deep-dive analyses to surface pipeline health trends, forecast risks, and performance gaps—translating findings into clear recommendations for Sales and GTM leadership

AI-Forward Mindset

AI tools are not optional in this role—they are core to how we work. We expect this person to actively use and evaluate AI capabilities across Sigma, Snowflake, and Gong to reduce manual work, accelerate insight delivery, and build more intelligent self-service experiences for the revenue organization. Candidates should be able to speak concretely about how they have applied AI tools in prior analytics or operations work, and bring a point of view on where AI can create the most leverage in a GTM analytics context.

Must Have Skills

• 5+ years in Sales Analytics, Revenue Operations, or GTM Analytics at a B2B SaaS company  Required
• Sigma Computing: production-level experience building and maintaining dashboards, workbooks, and self-service reporting layers for revenue teams  Required
• Gong: hands-on experience with Gong Forecasting configuration, dashboard development, and driving platform rollouts across an AE organization  Required
• Snowflake: proficiency querying and building on Snowflake as a data warehouse; familiarity with Snowflake AI / Cortex features  Required
• Salesforce: deep understanding of the Salesforce data model including Opportunity objects, pipeline mechanics, and Opportunity Splits  Required
• SQL: strong SQL skills for pipeline validation, ad hoc analysis, and data quality debugging  Required
• AI-first mindset: demonstrated experience evaluating and deploying AI tools within analytics workflows, with a clear point of view on where AI creates leverage in GTM contexts  Required
• Executive communication: ability to translate complex data architecture and analytics decisions into concise, actionable recommendations for CRO-level stakeholders  Required

Nice to Have Skills

• Experience owning or contributing to data governance programs: data dictionaries, KPI standardization, reporting councils, or metric sign-off frameworks
• Familiarity with dbt, Fivetran, or modern ELT tooling upstream of Sigma/Snowflake
• Experience building AE or Sales Manager enablement strategies tied to data platform adoption (e.g., Articulate 360, Highspot)
• Prior experience in a Field Operations or RevOps function at a company scaling past $300M ARR
• Bachelor’s degree in a quantitative field (Business Analytics, Statistics, Computer Science, or related); advanced degree a plus

#LI-EM3

About the Role

The Dev Accelerator team builds and operates Abnormal’s internal developer platform: the tools, libraries, and infrastructure that help engineers design, build, test, and ship products quickly and safely. The team owns developer CLI tooling, monorepo build and CI workflows, shared Go/Python libraries, and test and release safety systems that form the Golden Path for backend development.

As a Software Engineer on Dev Accelerator, you’ll own scoped problems end-to-end with support from teammates, using good judgment and growing independence to deliver reliable outcomes. You’ll use AI as a core part of how you explore solutions and move quickly, while validating that generated outputs are correct, maintainable, and production-ready.

What you will do 

• Contribute to the internal developer platform that supports backend development across the company, from local developer workflows to shared services and libraries.
• Build and improve scoped pieces of developer tooling, including CLI and scaffolding workflows that help engineers create and ship new services safely and consistently.
• Help maintain and improve CI/CD, linting, and testing workflows in the monorepo, with a focus on reliability, fast feedback, and keeping main healthy.
• Contribute code to shared Go and Python libraries and services, learning the team’s patterns for safe, maintainable, and consistent usage.
• Use AI to explore approaches, automate repetitive work where appropriate, and iterate on implementations until they meet real production standards.
• Debug issues, write tests, and validate behavior in real environments rather than relying only on generated output or assumptions.
• Improve team documentation, examples, and shared context so both engineers and AI tools can produce better results over time.

Must Haves 

• 1+ years of professional development experience or 2+ years of consistent open source contributions
• Relevant software engineering experience through internships, co-ops, research, open-source work, substantial project work, or early-career full-time roles that demonstrate readiness to contribute in a production environment.
• Strong software engineering fundamentals and the ability to write, test, debug, and improve production-quality code.
• Experience with Python or Go, plus willingness to learn whichever language is less familiar for the role.
• Familiarity with modern development workflows such as version control, code review, testing, and CI/CD.
• Good judgment when using AI tools for engineering work: you can evaluate outputs, catch incorrect or incomplete solutions, and refine them to fit real system constraints.
• Comfort taking ownership of scoped problems end-to-end, asking for help when needed, and steadily increasing independence.
• Strong learning mindset, adaptability, and openness to feedback in a fast-moving platform environment.
• Clear communication and a collaborative approach to working with teammates and internal customers.

Nice to Have 

• B.S. degree in computer science or related field
• Internship, co-op, or early-career experience building internal tools, backend services, or developer productivity tooling.
• Exposure to monorepo development, CI/CD pipelines, or build systems.
• Familiarity with Go/Python shared libraries, gRPC/Protobuf APIs, or cloud-based backend systems.
• Interest in developer experience, self-service platforms, or Golden Path tooling.
• Curiosity about AI-native developer workflows and excitement about improving how engineers build software with AI.

#LI-AJ1

About the Role

The Dev Accelerator team builds and operates Abnormal’s internal developer platform: the tools, libraries, and infrastructure that help engineers design, build, test, and ship products quickly and safely. The team owns developer CLI tooling, monorepo build and CI workflows, shared Go/Python libraries, and test and release safety systems that form the Golden Path for backend development.

As a Software Engineer on Dev Accelerator, you’ll own scoped problems end-to-end with support from teammates, using good judgment and growing independence to deliver reliable outcomes. You’ll use AI as a core part of how you explore solutions and move quickly, while validating that generated outputs are correct, maintainable, and production-ready.

What you will do 

• Contribute to the internal developer platform that supports backend development across the company, from local developer workflows to shared services and libraries.
• Build and improve scoped pieces of developer tooling, including CLI and scaffolding workflows that help engineers create and ship new services safely and consistently.
• Help maintain and improve CI/CD, linting, and testing workflows in the monorepo, with a focus on reliability, fast feedback, and keeping main healthy.
• Contribute code to shared Go and Python libraries and services, learning the team’s patterns for safe, maintainable, and consistent usage.
• Use AI to explore approaches, automate repetitive work where appropriate, and iterate on implementations until they meet real production standards.
• Debug issues, write tests, and validate behavior in real environments rather than relying only on generated output or assumptions.
• Improve team documentation, examples, and shared context so both engineers and AI tools can produce better results over time.

Must Haves 

• 1+ years of professional development experience or 2+ years of consistent open source contributions
• Relevant software engineering experience through internships, co-ops, research, open-source work, substantial project work, or early-career full-time roles that demonstrate readiness to contribute in a production environment.
• Strong software engineering fundamentals and the ability to write, test, debug, and improve production-quality code.
• Experience with Python or Go, plus willingness to learn whichever language is less familiar for the role.
• Familiarity with modern development workflows such as version control, code review, testing, and CI/CD.
• Good judgment when using AI tools for engineering work: you can evaluate outputs, catch incorrect or incomplete solutions, and refine them to fit real system constraints.
• Comfort taking ownership of scoped problems end-to-end, asking for help when needed, and steadily increasing independence.
• Strong learning mindset, adaptability, and openness to feedback in a fast-moving platform environment.
• Clear communication and a collaborative approach to working with teammates and internal customers.

Nice to Have 

• B.S. degree in computer science or related field
• Internship, co-op, or early-career experience building internal tools, backend services, or developer productivity tooling.
• Exposure to monorepo development, CI/CD pipelines, or build systems.
• Familiarity with Go/Python shared libraries, gRPC/Protobuf APIs, or cloud-based backend systems.
• Interest in developer experience, self-service platforms, or Golden Path tooling.
• Curiosity about AI-native developer workflows and excitement about improving how engineers build software with AI.

#LI-AJ1

About the Role

Abnormal AI is seeking a Mid-Market Account Executive to join its dynamic Sales organization in The DMV Territory. 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 AI 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-TY1

About the Role

Abnormal AI is seeking a Staff Software Engineer with deep expertise and passion for Security & Privacy to join the Multi-Product Platform division. 

Security and privacy have become a defining advantage in enterprise software — the companies that invest most deeply in these principles earn the most trust, the largest contracts, and the longest customer relationships. Abnormal AI has built that foundation, and now we need a Staff Engineer to take it further. You will own the division's Security & Privacy vision, driving high-impact initiatives that push our standards across authentication, authorization, and auditability even higher. You will evolve the long-term technical strategies that strengthen customer trust at scale — ensuring Security & Privacy remains an unshakable competitive advantage as the platform grows.

This means identifying and framing business problems, then aligning them with the company objectives, and translating them into clear, actionable technical roadmaps that engineering teams can execute with confidence.

Who you are

• First-principles thinker – you break complex, ambiguous business problems down to fundamental truths, then rebuild them into clear, prioritized milestones that deliver meaningful customer value.
• Pragmatic security mind – you identify and communicate security risks and tradeoffs, and deliver solutions that appropriately balance strong security with real-world business needs.
• Roadmap-to-reality executor - you transform Security & Privacy principles into actionable technical roadmaps, and lead large-scale projects from concept to production with precision and impact.
• AI-native innovator - you bring expertise, passion, and creativity in implementing innovative, AI-native approaches to unlock new capabilities for the division.
• Force multiplier - you foster cross-team collaboration with engineering teams to both seamlessly integrate Security & Privacy best practices into microservice architecture while eliminating implementation overhead for development teams.

What you will do 

• Own the strategic Security & Privacy roadmap for the Multi-Product Platform division across a 3–5 year horizon by partnering with engineering, product, and business stakeholders to define incremental milestones that de-risk execution and unlock tangible business value at each stage.
• Shape technical direction by applying pragmatic security principles and AI-native strategies, ensuring architectural decisions balance robust protection with speed-to-market and evolving business constraints.
• Drive end-to-end delivery of large-scale, cross-functional projects for the Multi-Product Platform division, operationalizing Security & Privacy standards that keep pace with product and market expansion while minimizing overhead and preserving R&D velocity.
• Actively mentor and grow the next generation of Tech Leads - raising the technical bar across the organization, not just within your teams.

Must Haves 

• BS degree in Computer Science, Electrical Engineering, Computer Engineering or other related engineering field.
• 8+ years of professional software engineering experience.
• Strong command of software design fundamentals - including distributed systems, CAP theorem, and system design tradeoffs.
• Deep expertise in Authentication, Authorization, and Security & Privacy problem space, best practices, and related technologies.
• Ability to translate business objectives into actionable technical plans with clear sequencing, dependencies, and success criteria that keep execution aligned with strategic intent.
• Demonstrated history of owning end-to-end delivery of complex projects — navigating ambiguity, managing competing priorities, and consistently shipping high-quality results on time and on-spec across multiple teams and stakeholders.
• Proficiency in Golang and Python programming languages.

Nice to Have 

• Experience in multiple domains - infrastructure, data platform, machine learning, or similar.
• Skill in making reversible versus irreversible technical decisions - and calibrating the right level of rigor for each.
• Contributions to open-source projects, engineering blogs, or industry standards.

#LI-ML1

About the Role

Abnormal AI is seeking a Senior Renewal Operations Manager to own and scale our renewal operations function from the ground up. This is a builder role — you won't be inheriting a polished playbook. You'll be the one writing it. Reporting into CS Operations, you will architect the end-to-end renewal process, stand up the dashboards and reporting our leaders rely on, and bring best-in-class forecasting rigor to how we predict churn and identify expansion opportunities.

In this role, you will:

• Own the renewal operations lifecycle — design, document, and continuously improve the processes that drive on-time renewals, reduce churn, and surface expansion opportunity.
• Build the reporting and dash-boarding infrastructure that gives CS, Renewal Management, and Finance leadership real-time visibility into renewal pipeline health, risk, and forecast accuracy.
• Develop and refine churn and expansion forecasting models, advising leadership on methodology, data inputs, and predictive signals that improve forecast confidence over time.
• Partner with Renewal Managers to operationalize best practices around timeline management, risk escalation, and deal execution.
• Define and track renewal KPIs (gross retention, net retention, renewal rate, forecast accuracy, time-to-close), surface trends, and translate data into recommendations.
• Own the quarterly quota-setting process for the CSM and Renewal Manager teams — partner with CS and Finance leadership to define targets, allocate quotas, and maintain ongoing attainment reporting that gives managers clear visibility into individual and team performance against plan.
• Work cross-functionally with Sales Ops, Finance, and Data Engineering to ensure data integrity, system alignment, and consistent definitions across the renewal pipeline.
• Evaluate and optimize our tool stack to support renewal workflows, including CRM configuration, automation, and integration with CS platforms.

Must Haves

• 8+ years of experience in Revenue, Renewal, or Customer Operations at a B2B SaaS company, with direct ownership of renewal processes.
• Strong command of Salesforce (opportunity management, reporting, dashboards, renewal pipeline configuration).
• Proven experience building renewal or retention dashboards and reporting from scratch — you've stood something up, not just maintained it.
• Advanced analytical skills with proficiency in tools like Sigma, Looker, Tableau, Google Sheets/Excel, or Databricks; comfortable working with large datasets to identify patterns and forecast outcomes.
• Hands-on experience with churn and expansion forecasting — familiar with methodologies, leading indicators, and how to improve prediction accuracy over time.
• Familiarity with Customer Success platforms (e.g., Gainsight) and how they intersect with renewal workflows.
• Experience designing scalable, repeatable processes in a high-growth environment where things aren't yet fully defined.
• Strong program management skills with the ability to juggle multiple workstreams and drive projects to completion independently.
• Excellent communication skills — able to present data-driven recommendations to senior stakeholders and influence decisions across teams.
• Builder mentality: self-directed, comfortable with ambiguity, and energized by creating structure where none exists.

#LI-ME1

About the Role

Abnormal AI is seeking a Mid-Market Account Executive to join its dynamic Sales organization in our Ohio Valley region. 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-VY1

About the Role

As a Senior Customer Success Manager, you will independently manage strategic customer relationships and ensure long-term value realization across a portfolio of mid-market and enterprise accounts. You will lead success planning, drive adoption and engagement, and mitigate risk while collaborating cross-functionally with Product, Engineering, Sales, and Support. Your work will have a direct impact on retention, satisfaction, and account growth, and you’ll contribute insights to help evolve customer and internal processes.

Who you are

• Confident operating independently, navigating strategic accounts, and aligning customer needs with organizational goals
  
  
• Comfortable managing technical and strategic issues, leveraging internal partnerships to drive outcomes
  
  
• Effective communicator with the ability to present complex ideas clearly across a range of audiences
  
  
• Adaptable and proactive in dynamic, fast-paced environments with a continuous improvement mindset

What you will do

• Manage strategic customer relationships post-sale, focusing on adoption, retention, and value delivery with minimal oversight
  
  
• Deliver outcome-oriented QBRs/EBRs and lead success planning to align customer goals with platform capabilities
  
  
• Drive platform adoption and feature engagement through best practices, enablement, and education on roadmap developments
  
  
• Monitor account health using data-driven insights; proactively identify risks and lead coordinated mitigation efforts
  
  
• Resolve complex escalations with timely, clear communication and a focus on long-term customer trust and satisfaction
  
  
• Collaborate with Sales, Engineering, and Support to influence renewal and expansion outcomes
  
  
• Represent the customer voice internally, providing structured feedback to Product and other teams
  
  
• Support knowledge sharing and contribute to internal process development or mentoring where relevant

Must Haves

• 8+ years of experience in enterprise SaaS, with at least 3 years in Customer Success, TAM, or support roles
  
  
• Proven track record managing complex customer relationships, including executive-level stakeholders
  
  
• Strong communication, analytical, and problem-solving skills with an emphasis on delivering measurable outcomes
  
  
• Technical familiarity with internet and networking technologies; experience with security products is a plus
  
  
• Proficiency in CRM and support tools such as Salesforce and Jira
  
  
• Bachelor’s degree in a technical field (e.g., Computer Science, Engineering) or equivalent professional experience

#LI-EM3

About the Role

Enterprises of all sizes trust Abnormal AI to stop cybercrime. We believe that to stay ahead of attackers, we must fundamentally rebuild our R&D organization to be AI-Native. We are moving toward a future where AI-initiated workflows—where agents write the first draft of designs, code, and remediation—are the standard.

As we scale these agentic workflows, we require a new class of infrastructure designed for autonomous execution. As an Engineer on the AI Accelerator team, you will act as both a technical owner and a force multiplier. You will architect the developer tooling and platform infrastructure that enables hundreds of engineers (and thousands of agents) to build software faster than ever.

You will be expected to build and ship critical AI DevX systems while also influencing Abnormal’s broader AI strategy. You are building the "Operating System" for our engineering team—removing the structural bottlenecks that separate human intent from shipped code for mission-critical systems.

About You

• You are a High-Slope Builder. You don't wait for a roadmap. You thrive in the terminal, instinctively crafting reusable tools as you work. You prioritize "unblocking" and velocity, but you never sacrifice quality—you use AI to ship better code, faster.
• You are a Product Engineer for Developers. You are obsessed with your "customers". You don't build technology for technology's sake; you build tools that solve genuine pain points and delight the engineers who use them daily.
• You possess Engineering Breadth. You are a true generalist when wielding AI tools. You are comfortable jumping between architecting cloud infrastructure, writing backend services in Python/Go, and "vibe coding" a frontend dashboard to visualize the data.
• You are an "AI-Native" Engineer. You don't just use AI; you have integrated it into your core workflow to operate with 10x leverage.

What You Will Do

• Architect the "Agent-Ready" infrastructure, building the sandboxed environments and headless interfaces that allow AI agents to execute safely without human hand-holding
• Embed with product teams to identify friction in the "Plan → Code → Test" loop, shipping 0-to-1 internal tools that ruthlessly automate bottlenecks
• Replace manual human validation with deterministic proof; you will build the validation frameworks that allow agents to verify their own work
• Act as a technical scout for the organization, critically evaluating emerging agentic frameworks to inform our build-vs-buy strategy

Must Haves

• Typically 4+ years of professional software engineering experience
• Deep familiarity with modern AI coding workflows (Cursor, Claude Code) and the ability to engineer around model limitations
• You are focused on solving user problems and shipping solutions that get adopted, not just building infrastructure in a vacuum
• Uncompromising focus on velocity x excellence; you instinctively write scripts to automate tasks, but ensure they are robust enough for production use
• Demonstrated ability to navigate ambiguity and ship complex features with minimal oversight

Nice to Haves

• Production-grade systems expertise spanning Backend services (Python/Go), Cloud Infrastructure, and Data Systems
• Experience with or interest in AI evangelism—sharing knowledge through documentation, workshops, or technical sessions
• Experience building internal developer platforms, CLIs, or CI/CD systems at scale
• History of contributing to open source developer tools or AI frameworks

#LI-ML1

About the Role

Abnormal AI is seeking a seasoned sales leader to oversee and grow a team within our Enterprise Sales organization.You will be responsible for building and leading a high-performing team of Enterprise sellers focused on landing and expanding strategic accounts. You will serve as the regional sales leader, setting the vision, driving execution, and enabling your team to succeed through disciplined process, collaboration, and strong go-to-market alignment.

The ideal candidate will be based in the New York metropolitan area, including Northern New Jersey or Connecticut, and bring the following skill set:

• Team builder and talent magnet with a track record of hiring, onboarding, and developing high-performing enterprise sellers on time and within budget.
• Metrics-driven leader skilled at defining, tracking, and managing seller productivity KPIs and aligning them with revenue milestones.
• Pipeline architect experienced in building robust pipelines by activating all demand channels: AE prospecting, SDRs, marketing, partners, and customer advocates.
• Strategic seller who partners with sellers on account planning, opportunity strategy, and C-level engagement to drive consistent execution across the region.
• Pre-sales collaborator adept at working with Sales Engineering to deliver tailored, compelling demos and scalable proof-of-concept processes.
• Customer expansion champion focused on delivering value realization, retention, and upsell growth through trusted executive relationships.
• Forecasting expert with a disciplined, methodical approach to pipeline inspection and forecasting — grounded in frameworks like MEDDICC.
• Channel strategist who knows how to build, activate, and grow partnerships to complement direct sales and expand market reach.
• Performance optimizer who runs crisp, actionable QBRs to evaluate sales performance, measure progress, and drive continuous improvement.
• Hands-on closer with the ability to engage and close complex enterprise deals at the CISO/CIO/CTO level, leading from the front when needed.

What you will do 

• Recruit and hire a world class team of enterprise sellers, on time and on budget
• Clearly articulate, manage and enable enterprise sellers to hit all key productivity metrics and milestones of growth
• Instill a disciplined approach to pipeline generation leveraging all available resources including field sales, marketing, channel partners, and sales development to accelerate new business.
• Develop an overall account strategy for the region resulting in strong execution and collaborative team selling.
• Partner closely with Sales Engineering to deliver outstanding product demonstrations and a repeatable technology validation / proof-of-concept program.
• Build a strong partnership with existing customers that focuses on value realization and customer retention delivered through high renewal rates, rapid upsell expansion, and customer referrals.
• Effectively forecast monthly/ quarterly revenue to executive leadership through disciplined deal inspection and forecast methodology.
• Develop strategic relationships with existing channel partners and the development of new channel partners.
• Facilitate Quarterly Business Reviews to measure sales productivity, plan execution, and progress against strategic objectives.
• Identify, cultivate, and close new business at executive levels (CISO/CIO/CTO) in enterprise accounts within the designated territory.

Must Haves 

• 10+ years of Enterprise Sales experience with a demonstrated track record of success exceeding sales quotas selling security, networking and/or software solutions
• 3+ years leading a sales team focused on growing new business and new logos
• Strong hunter mentality: direct experience managing teams responsible for creating new demand, new customer acquisition, and sourcing new pipeline
• A winner, someone who holds themselves accountable to consistent over-achievement
• Successful experience closing complex Enterprise sales with multiple buying influences in new or emerging solution categories.
• Experience managing and closing deals of $200K+ as well high value transactions above $1m+
• Experience establishing and fostering strong relationships with potential partners and customers at executive levels
• Strong presentation and communications skills, competent translating technical features into business value
• Familiarity and experience using consultative, value-based sales methodologies (Force Management, Challenger Sale, MEDDIC, etc.)
• Outstanding verbal, written, and presentation skills
• Comfortable working in a highly fast-paced environment

#LI-AK1

About the Role

We are seeking a results-oriented Professional Services Manager to lead a team of consultants and oversee the seamless technical deployment of Abnormal Security products for our clients. This role plays a pivotal part in ensuring that our Professional Services team consistently delivers high-quality outcomes while fostering a culture of excellence, collaboration, and continuous growth. This role requires a blend of strong leadership, technical expertise, and exceptional operational oversight. You will refine processes to enhance efficiency, while guiding your team to achieve operational excellence, deliver value to clients, and uphold the organization’s core values.

In this job, you will bring these skills

• Minimum of 3+ years of experience leading a team or managing direct reports.
• Ability to inspire, mentor, and guide a team toward achieving shared goals.
• Proficiency in performance management, including setting clear expectations, providing constructive feedback, and fostering professional growth within the team.
• Clear, transparent, and consistent communication to foster alignment within the team and with clients.
• Exceptional skills in communication, emotional intelligence, and client relationship management.
• Managing conflicts constructively, promoting trust, and ensuring productive outcomes.
• Experience managing complex client-facing projects, ensuring they meet quality standards, timelines, and client expectations.
• Strong understanding of professional services delivery and customer lifecycle.
• Experience in working across teams or departments to align objectives and drive collective success in a fast-paced environment.
• Analytical and creative thinking to identify challenges and implement effective solutions.
• Ability to adapt to changing priorities, handle ambiguity, and remain composed under pressure.

Role Responsibilities + Deliverables

• Lead a team of consultants, providing guidance, mentorship, and support to ensure professional growth and project success. 
• Provide coaching and career guidance to team members, helping them achieve their aspirations and align their development with organizational needs.
• Set clear objectives, provide constructive feedback, and foster a culture of accountability.
• Ensure project deliverables meet established quality standards and are completed within agreed timelines to drive customer satisfaction.
• Coordinate resources effectively to balance team capacity and project needs.
• Facilitate effective communication within the team and across the organization.
• Collaborate with other teams and stakeholders to ensure alignment and successful project outcomes.
• Continuously seek opportunities to optimize workflows and improve team efficiency.
• Implement plans and processes that drive operational success and enhance business outcomes.
• Align recruitment efforts with the long-term goals of the organization, supporting strategic hiring initiatives.

#LI-MC2

About the Role

Abnormal AI is looking for an ambitious and growth-minded Senior Product Manager to drive innovation across our flagship product lines. At Abnormal, we help customers—from Global 2000 enterprises to small and medium-sized businesses—stay safe from complex, cutting-edge cyberattacks that can cause financial loss and disrupt business operations. Our AI-native approach to email security, account takeover detection, and adjacent security use cases has made us one of the fastest-growing cybersecurity companies worldwide.

As a Senior Product Manager, you are responsible for owning product definition, setting the initial product strategy, and building a 12‑month roadmap for one complex or multiple moderately complex product areas. You will lead cross-functional teams across Engineering, Design, Data, and GTM, and be the most knowledgeable person in the company for your product domains—trusted to represent them to leadership, GTM, and customers.

This is a high-ownership, high-autonomy role for a PM who can move seamlessly between customer problems, technical and AI-focused tradeoffs, and business outcomes, while raising the bar for product quality and execution across the organization.

What You Will Do

• Own strategy, roadmap, and outcomes for complex product areas - Define and evolve a 9–12 month roadmap for one or more complex, high-impact product surfaces, ensuring clear prioritization against customer value, security outcomes, and business impact.
• Frame and solve high-ambiguity customer problems - Run discovery, design partnerships, and structured feedback programs to deeply understand customer pain, synthesize insights, and translate them into crisp problem statements, product briefs, and measurable outcomes.
• Lead cross-functional execution from concept to adoption - Drive the end-to-end product lifecycle—from problem framing and PRDs to launch, instrumentation, and iteration—partnering closely with Engineering, Design, Data, Sales, and Customer Success to ship high-quality features at velocity.
• Shape product strategy and GTM tactics - Contribute to divisional strategy and GTM plans, influencing how we position the product, sequence major initiatives, and tell the value story to customers, prospects, and internal stakeholders.
• Own metrics, experimentation, and continuous improvement - Define and track KPIs for your product lines (e.g., adoption, engagement, incident reduction, revenue impact), run experiments, and use data to refine direction and inform investment decisions.
• Represent your product externally and with leadership. Serve as the domain expert for your product areas on customer calls, escalations, executive reviews, and roadmap discussions—communicating clearly, managing trade-offs, and building trust across the organization.
• Lead in an AI-native way of working - Use AI tools (e.g., ChatGPT/Claude, v0, analytics platforms) and rapid prototyping to accelerate discovery, research, documentation, and UX exploration—raising the standard for how product work gets done at Abnormal.

Must-Have Qualifications

• 7+ years of product management experience in software, with a strong track record of owning complex product areas end-to-end in B2B SaaS or similarly technical domains.
• Proven experience working on deeply technical products, collaborating closely with engineering on architecture, scalability, or AI/ML–driven features, and reasoning through technical tradeoffs and constraints.
• Demonstrated ability to own product strategy, definition, and roadmap for a product line or multiple complex surfaces—including problem framing, opportunity sizing, prioritization, and success metrics.
• Strong analytical and problem-solving skills, with comfort using data (dashboards, experiments, or SQL/analysis in partnership with Data) to inform decisions and refine product direction in ambiguous spaces.
• Excellent communication and cross-functional leadership, with the ability to drive alignment across Engineering, Design, GTM, and executives, and to represent the product in high-stakes or customer-facing scenarios.
• High ownership, operational excellence, and attention to detail across documentation, planning, stakeholder management, and launch execution.
• A growth mindset and willingness to learn quickly in a fast-paced, AI-native environment, including integrating new tools and workflows into your day-to-day product practice.

Nice-to-Have Qualifications

• Experience in enterprise SaaS / B2B environments, ideally in cybersecurity, security operations, identity, posture management, or adjacent technical domains.
• Prior experience working as a software engineer, data scientist, or similarly technical role, or equivalent hands-on experience with complex distributed systems or AI-driven products.
• Experience with data analysis and experimentation (e.g., comfort working with analytics tools, experimentation platforms, or SQL in partnership with Analytics).
• Familiarity with AI-native workflows and rapid prototyping tools (e.g., Claude/ChatGPT, v0, Figma) to speed up discovery, ideation, and validation.
• Background working closely with GTM teams (Sales, Marketing, Customer Success, Support) on launches, enablement, and customer-facing messaging and demos.

Why You’ll Thrive at Abnormal

You’ll thrive in this role if you:

• Want to own a portfolio of product lines and their KPIs, and be accountable for meaningful customer and business outcomes—not just feature delivery.
• Enjoy working at the intersection of AI, security, and user experience, helping customers stay ahead of sophisticated threats while keeping products intuitive and impactful.
• Value high trust and high autonomy, and are excited to help shape both product strategy and the broader product management craft as Abnormal scales.

If you’re ready to own something critical, move with velocity, and grow alongside a company building a generational future in cybersecurity, Abnormal is the place for you.

About the Role

Abnormal AI is looking for an Enterprise Account Executive to join the {Insert Region} team. This team sells our security solutions to enterprise-level accounts within a defined territory.

The ideal candidate for the role will be local to the Ohio Valley, between Cleveland and Columbus area and have the following skillset: 

• Proven hunter with a disciplined approach to early pipeline development and prospecting into enterprise accounts. Skilled at leveraging all five demand gen pillars: AE prospecting, SDRs, marketing, channel, and customer referrals.
• Strong qualifier with a knack for uncovering customer pain points and connecting them to compelling, value-driven solutions.
• Effective presenter able to tailor demos and messaging to resonate with stakeholders based on specific business challenges.
• Process-oriented with a consistent, repeatable sales methodology and strong time management skills — capable of managing multiple deals without sacrificing quality.
• Data-disciplined, maintaining accurate and consistent account and opportunity data at all times.
• Business case builder, experienced in quantifying ROI across multiple dimensions for diverse stakeholder groups.
• Knowledge sharer, able to extract, organize, and document customer insights and deal lessons to enable broader team learning.
• Internal guide, adept at navigating and supporting internal buying processes.
• Resilient and resourceful, with the grit to thrive in early-stage environments and a strong understanding of how to leverage cross-functional teams including SEs, marketing, BDRs, product, and CS.

What you will do 

• Sell Abnormal security solutions to your defined territory with the goal to overachieve new annual recurring revenue quota
• Work enterprise 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 enterprise 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
• Continually document results and maintain accurate data across all sales systems (Salesforce, Highspot, Close Plan)
• Be a voice for the customer/prospect with internal teams including Sales Engineering/POV team, Product and Marketing to ensure appropriate prioritization to close more revenue.

Must Haves 

• Enterprise Account Hunter with 3+ years of direct (not overlay) experience selling into enterprise-sized organizations, including prospecting, winning new logos, and expanding major accounts in competitive, incumbent-heavy environments.
• Skill in negotiating with large organizations and closing complex sales
• Proven performer with consistent over quota performance and/or top 5% of sales org
• Technically competent: Conversant in key areas: security, email, cloud, AI, etc.
• Cyber-security Software sales: Experience selling subscription software/SaaS to CISOs and security personnel
• Start-up experience: Success at a company that was early stage, underdog or was a new entrant with large competitors or similar (limited resources-build territory including: channel, tech partners, initial customer wins, etc.)
• BS/BA degree or equivalent work experience

#LI-OB1

About the Role

Abnormal AI is looking for a Customer Success Operations Manager to join our Customer Success Operations team. This team supports Customer Success, Professional Services, Renewal Management, and Support, helping ensure these groups can operate efficiently and deliver a strong customer experience as we scale.

In this role, you’ll focus on improving the systems, data, and processes that support the customer lifecycle. You’ll partner closely with cross-functional teams to increase visibility, reduce friction in day-to-day workflows, and help teams work more effectively as the business grows.

You’ll also spend time working with data—helping teams understand performance, spot trends, and identify opportunities to improve how we operate. As part of that, you’ll contribute to efforts around automation and tooling, including AI-driven solutions, to help the team scale without adding unnecessary complexity.

This is a hands-on role for someone who enjoys solving operational problems, working across teams, and making things run more smoothly in a fast-paced SaaS environment.

What you will do:

• Optimize and standardize processes and workflows to enhance both customer satisfaction and operational productivity.
• Equip internal teams with the right tools, visibility, systems, and processes to ensure our customers achieve success.
• Provide training and support to promote standardized tool usage and best practices, improving team efficiency and consistency.
• Track key performance indicators (KPIs), analyze data to identify trends, and share insights on opportunities and risks.
• Work cross-functionally to address and resolve operational challenges effectively.

Must Have: 

• 5+ years of experience in Customer Operations supporting a Customer Success team at a SaaS company.
• Expertise with Salesforce Suite (CRM, Customer 360, Service Cloud, Communities).
• Advanced analytical skills, proficiency in Google Sheets//Excel/Sigma/Databricks/ Tableau etc, with the ability to interpret data and deliver actionable insights.
• Deep knowledge of Customer Success tools (e.g., Gainsight).
• Experience with additional CS tools, such as Gong, Pendo, TaskRay, Smartsheet, and Asana.
• Skilled in designing scalable processes that grow with the organization.
• Hands-on experience building AI-powered workflows (e.g., Glean agents, Claude skills) to automate processes and boost team productivity.
• Proven ability to develop and implement strategies that increase Customer Success team efficiency and effectiveness.
• Experience building and maintaining customer health score models that drive proactive action across CS teams.
• Strong program management, project management and organizational skills, with a history of managing multiple priorities effectively.
• Exceptional communication and interpersonal skills, capable of influencing and collaborating effectively across teams.
• Problem-solving aptitude with a proactive, solutions-oriented approach to overcoming challenges.
• Detail-oriented, self-motivated, and a strong team player with a robust work ethic.

#LI-ME1

About the Role

Abnormal AI is looking for an Enterprise Account Executive to join the Mid-Atlantic team. This team sells our security solutions to enterprise-level accounts within a defined territory.

The ideal candidate for the role will be local to the Pittsburgh area and have the following skillset: 

• Proven hunter with a disciplined approach to early pipeline development and prospecting into enterprise accounts. Skilled at leveraging all five demand gen pillars: AE prospecting, SDRs, marketing, channel, and customer referrals.
• Strong qualifier with a knack for uncovering customer pain points and connecting them to compelling, value-driven solutions.
• Effective presenter able to tailor demos and messaging to resonate with stakeholders based on specific business challenges.
• Process-oriented with a consistent, repeatable sales methodology and strong time management skills — capable of managing multiple deals without sacrificing quality.
• Data-disciplined, maintaining accurate and consistent account and opportunity data at all times.
• Business case builder, experienced in quantifying ROI across multiple dimensions for diverse stakeholder groups.
• Knowledge sharer, able to extract, organize, and document customer insights and deal lessons to enable broader team learning.
• Internal guide, adept at navigating and supporting internal buying processes.
• Resilient and resourceful, with the grit to thrive in early-stage environments and a strong understanding of how to leverage cross-functional teams including SEs, marketing, BDRs, product, and CS.

What you will do 

• Sell Abnormal security solutions to your defined territory with the goal to overachieve new annual recurring revenue quota
• Work enterprise 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 enterprise 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
• Continually document results and maintain accurate data across all sales systems (Salesforce, Highspot, Close Plan)
• Be a voice for the customer/prospect with internal teams including Sales Engineering/POV team, Product and Marketing to ensure appropriate prioritization to close more revenue.

Must Haves 

• Enterprise Account Hunter with 3+ years of direct (not overlay) experience selling into enterprise-sized organizations (3k+ employee count), including prospecting, winning new logos, and expanding major accounts in competitive, incumbent-heavy environments.
• Skill in negotiating with large organizations and closing complex sales
• Proven performer with consistent over quota performance and/or top 5% of sales org
• Technically competent: Conversant in key areas: security, email, cloud, AI, etc.
• Cyber-security Software sales: Experience selling subscription software/SaaS to CISOs and security personnel with average sales $100k+
• Start-up experience: Success at a company that was early stage, underdog or was a new entrant with large competitors or similar (limited resources-build territory including: channel, tech partners, initial customer wins, etc.)
• BS/BA degree or equivalent work experience

#LI-OB1

About the Role

Define the Future of Platform Operations: Operate a platform built by 200 engineers with a team of only five people. The necessary tools, APIs, and infrastructure for efficient operation do not yet exist and must be built. Gain Broad, Deep Expertise: The role offers hands-on involvement across the entire product and development stack.

Recent examples include:

• Tracing commercial-side dev infrastructure build pipelines.
• Designing Continuous Delivery (CD) processes for government deployments that will eventually be used commercially.
• Improving underlying cloud infrastructure emission processes.
• Working with application teams to learn about and deploy nearly every product

The ideal candidate:

• Brings a combination of technical depth, problem-solving skills, and leadership experience
• Navigates ambiguity and works effectively in complex, distributed systems
• Collaborates across teams and escalates issues when needed to maintain progress
• Identifies and addresses inefficiencies in workflows and operations
• Contributes to clarity, accountability, and process improvement
• Balances individual technical work with big picture system and team needs

Must-Have Qualifications

• Proven ability to maintain 99.99% uptime in production environments
• 7+ years of overall experience, including 6+ years in software development and 3+ years in DevOps practices.
• 3+ years of experience with Kubernetes, Terraform, Python or Go, and AWS
• 4+ years of experience working with distributed systems
• Familiarity with Redis, Kafka/PubSub, and relational databases
• Experience in fast-paced or startup-like environments
• Strong collaboration and communication skills across cross-functional teams and divisions
• Ability to ramp up quickly and contribute in complex, large-scale environments
• Demonstrated leadership in incident management and operational reliability
  

Nice-to-Have Qualifications

• Experience with FedRAMP compliance and government security requirements
• Track record of implementing secure CI/CD pipelines in restricted or regulated environments

#LI-NT1

About the Role

Abnormal AI is seeking a Mid-Market Account Executive to join its dynamic Sales organization and grow our Oregon market. 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 
• Located in Oregon 
• Disciplined pipeline generation across channels (prospecting, marketing, referrals, partners)
• Strong at qualifying needs and presenting ROI-driven value to stakeholders
• Executes a repeatable sales process with focus and time management
• Navigates internal and customer buying processes effectively
• Gathers and applies customer insights to improve execution
• Thrives in early-stage, resource-constrained environments
• Collaborates cross-functionally (SEs, Marketing, Product, CS)

Nice to Haves

• MEDDIC, MEDDPICC, or Command of the Sale sales methodology training

#LI-VY1

About the Role

Abnormal AI is seeking a Mid-Market Account Executive to join its dynamic Sales organization in our Kentucky region. 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-VY1

About the Role

Abnormal Security is building AI-native systems that transform how enterprise GTM teams operate — and we're doing it by shipping real products on a weekly cadence. 

The AI Transformation Engineering team is the infrastructure layer that makes this possible: we build and maintain the platforms, integrations, and tooling that power a growing fleet of AI agents operating across Sales, Customer Success, and Marketing.

As an AI Product Engineer, you'll work at the intersection of platform engineering and direct product delivery. Some weeks you're extending agent infrastructure — building new tools, connectors, and APIs that let AI agents do things they couldn't do before. Other weeks you're shipping GTM tooling directly, moving fast because the shortest path to impact is writing the code yourself. 

You'll collaborate closely with AI Product Managers who define and build automations weekly, unblocking them with new platform capabilities and partnering on what to build next.

This is a high-visibility, high-autonomy role. You'll demo your work every Friday. Your systems will be used by a 700-person GTM org. You'll work closely with engineering and product leadership and have line-of-sight to the CEO’s priorities.

What You Will Do

• Build and extend agent platform capabilities — new tools, APIs, data connectors, and integrations that expand what AI agents can do without manual intervention
• Ship self-serviceable GTM tooling that enables non-technical users to set up their own AI-initiated LLM workflows.
• Partner with AI Product Managers on platform requirements — translate their roadmap blockers into well-scoped engineering deliverables with reliable timelines
• Identify and build reusable infrastructure — proactively design horizontal capabilities that accelerate multiple product workstreams at once
• Own reliability and observability for the systems you build — you're not handing off to an ops team
• Demo your work weekly and communicate clearly to technical and non-technical stakeholders alike

The Ideal Candidate

You're an engineer who ships things. You've built LLMs and agents in production — not as a side experiment, but as the core of what you were delivering. You have strong product instincts alongside engineering depth: you ask "who is this for and what do they actually need?" before writing code. You move fast without being careless, and you use AI coding tools as force multipliers, not crutches.

You're motivated by ownership and velocity. You'd rather have a small surface area and full accountability than a large team and a ticket queue.

Must Haves

• 6+ years of software engineering experience (strong internship and project portfolios considered)
• Demonstrated experience building with LLMs, agents, or AI APIs in a real product context — show us something that shipped
• Proficiency in Python; comfort picking up new frameworks quickly
• Experience integrating external APIs and building data pipelines
• Strong written communication — you can write a clear spec and a clear async update
• Ability to work with high autonomy, minimal oversight, and surface blockers proactively

Nice to Have

• Frontend or full-stack experience (React/Next.js) for building internal tools and dashboards
• Familiarity with agentic frameworks (LangGraph, CrewAI, Autogen) or production-scale prompt engineering
• Prior experience in a startup or high-velocity small team
• Open source contributions or a public portfolio of AI projects

#LI-ML1

About the Role

Abnormal AI is seeking a Mid-Market Account Executive to join its dynamic Sales organization in our Wisconsin region. 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-VY1

About the Role

Abnormal AI is seeking a highly motivated sales leader to join our Sales organization as a Sales Manager for the Mid-Market Sales Team. This sales leader will be responsible for all elements of team development – recruitment, hiring, enablement, and management of a sales team, as well as driving revenue growth and exceeding sales targets within their Region. This person will need to be passionate about the extraordinary value Abnormal is providing to our customers and conduct themselves with exceptional professionalism, honesty, and integrity.

What you will do 

• Recruit and hire a world-class team of sellers, on time and on budget
• Clearly articulate, manage and enable sellers to hit all key productivity metrics and milestones of growth
• Instill a disciplined approach to pipeline generation, leveraging all available resources, including field sales, marketing, channel partners, and sales development to accelerate new business.
• Develop an overall account strategy for the region resulting in strong execution and collaborative team selling.
• Partner closely with Sales Engineering to deliver outstanding product demonstrations and a repeatable technology validation/proof-of-concept program.
• Build a strong partnership with existing customers that focuses on value realization and customer retention delivered through high renewal rates, rapid upsell expansion, and customer referrals.
• Effectively forecast monthly/ quarterly revenue to executive leadership through disciplined deal inspection and forecast methodology
• Develop strategic relationships with existing channel partners and the development of new channel partners.

Must Haves 

• Minimum 3+ years of sales experience with a demonstrated track record of success exceeding sales quotas selling security, networking and/or software solutions.
• Minimum of 3+ years leading a sales team focused on growing new business and new logos.
• Strong hunter mentality: direct experience managing teams responsible for creating new demand, new customer acquisition, and sourcing new pipeline.
• A winner, someone who holds themselves accountable to consistent over-achievement.
• Successful experience closing complex sales with multiple buying influences in new or emerging solution categories.
• Experience managing and closing deals of $50K+ as well higher value transactions above $100K+.
• Experience establishing and fostering strong relationships with potential partners and customers at executive levels.
• Strong presentation and communications skills, competent translating technical features into business value.
• Familiarity and experience using consultative, value-based sales methodologies (Force Management, Challenger Sale, etc.) is a plus.
• Outstanding verbal, written, and presentation skills.
• Comfortable working in a highly fast-paced environment.

#LI-VY1

About the Role

Abnormal AI is seeking a Mid-Market Account Executive to join its dynamic Sales organization in our Kansas region. 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 AI 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-TY1

About You

• Enterprise Account Hunter: Demonstrated 7+ years of direct (vs. overlay) enterprise experience prospecting, closing new logos, and growing major accounts against incumbents.
• Skill in negotiating with large organizations and closing complex sales.
• Proven performer with consistent over quota performance and/or top 5% of sales org
• Technically competent: Conversant in key areas: security, email, cloud, AI, etc.
• Cyber-security Software sales: Experience selling subscription software/SaaS to CISOs and security personnel
• Start-up experience: Success at a company that was early stage, underdog, or was a new entrant with large competitors or similar (limited resources-build territory including: channel, tech partners, initial customer wins, etc.)
• BS/BA degree or equivalent work experience

In this job, you will bring these skills

• Ability to hunt: disciplined approach to early pipeline development. Comfortable and have demonstrated ability to prospect into enterprise accounts with the ability to leverage/ balance five pillars of demand generation: AE prospecting, SDR, Marketing, Channel, and Customer referrals.
• Good qualifier: Ability to uncover/discover customer problems and pains.
• Good presenter: ability to present and demonstrate value based on 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, BDRs, Product and Customer Success.

Role Responsibilities

• Sell Abnormal security solutions to your defined territory with the goal to overachieve new annual recurring revenue quota
• Work enterprise accounts (2k+ mailbox organizations) from initial conversations through signing a contract and up-selling once they’re a customer.
• Prospect and generate new business opportunities with enterprise accounts (2k+ 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.

#LI-LB2

About the Role

Nothing Exceptional Was Ever Normal. We’re the world’s fastest-growing cybersecurity company dedicated to making the cloud a safer place for business and our Enterprise SLED team is critical to continued success. As an Enterprise SLED Account Executive you are the spearhead of Abnormal AI relationships in SLED accounts across Northern California. You are responsible for all transactions within these accounts and help quarterback the sales ecosystem to support the customer’s success. Critical to this role’s success is the following experience and skills:

About You

• Demonstrated 8+ years of direct (vs. overlay) enterprise sales experience prospecting and closing SLED accounts
• Proven track record of success closing new Account Logos, while also cross selling/ upselling and growing the existing customer account
• Skill in negotiating with large organizations and closing complex sales.
• Proven performer with consistent over quota performance and/or top 5% of sales org
• Conversant in key areas such as security, email, cloud, AI, etc.
• Experience selling subscription software/SaaS to CISOs and security personnel
• Success at a company that was early stage, underdog or was a new entrant with large competitors or similar (limited resources-build territory including: channel, tech partners, initial customer wins, etc.)
• BS/BA degree or equivalent work experience preferred

In this job, you will bring these skills

• Disciplined approach to early pipeline development. Comfortable and have demonstrated ability to prospect into the region's largest enterprise accounts with the ability to leverage/ balance five pillars of demand generation: AE prospecting, SDR, Marketing, Channel and Customer referrals.
• Ability to uncover / discover customer problems pains
• Ability to present and demonstrate value based on customer pain points.
• Ability to systematically execute a disciplined sales process that can be repeated in parallel without sacrificing quality
• Ability to continually maintain data accuracy and consistency for all accounts & opportunities. 
• Ability to develop and present a business case to a customer showing high ROI across different dimensions to multiple stakeholders
• Ability to extract, document and organize lessons, knowledge and information about customers
• Ability to close and maximize the ARR of Enterprise accounts. Ability to guide internal stakeholders through their own internal buying processes
• Grit; ability to find success in an early-stage environment without all the resources/teams available to much larger organizations 
• Good understanding of how to leverage other departments including Sales Engineering, Marketing, SDRs, Product and Customer Success.

Role Responsibilities

• Sell Abnormal AI solutions to SLED agencies with the goal to overachieve new annual recurring revenue quota
• Work Enterprise Accounts from initial conversations through signing a contract and up-selling once they’re a customer.
• Prospect and generate new business opportunities within Enterprise Accounts to supply enough pipeline for them to hit sales targets.
• Work with Customer success to ensure a timely renewal and expansion sale opportunities
• Continually document results and maintain accurate data across all sales systems (Salesforce, Highspot, Close Plan)
• Be a voice for the customer/prospect with internal teams including Sales Engineering/POV team, Product and Marketing to ensure appropriate prioritization to close more revenue.
• Candidate must live in territory (Northern California).

#LI-AK1

About You

As a Sr. CSM, you are passionate about and have a world-class track record of creating and sustaining happy, referenceable customers that realize full value from the platform and partnership.  You have an exceptional ability to establish and nurture stakeholder relationships and align on value objectives and results, acting as the customer's trusted advisor.  

Acting as the primary interface between the customer and the internal teams at Abnormal, you are adept at:  ensuring clear, measurable success criteria is established and attained, driving adoption of platform best practices to optimize ROI, educating on new/upcoming features (which may qualify cross/upsell opportunities), anticipating and proactively de-escalating issues with scalable solutions, and maintaining a feedback loop for key product enhancements / improvement requests.

In this job, you will bring these skills

• 5+ years experience in a CSM capacity, with 6+ yrs. experience in an enterprise SaaS product support environment
• Strong experience with building and developing long-lasting executive-level relationships (including with CISO’s and CIO’s) at F500 companies, along with providing an outstanding overall customer experience (measurable in the form of an achieved health score, account retention/growth rate, and % referenceable customers)
• Action-oriented, with the ability to quickly assess and integrate inputs across functions (Support, Product, ENG) and turn into a scalable solution and clear customer narrative
• Soft skills oriented towards developing and retaining a customer’s trust and de-escalating their issues (i.e., turning escalations into positive experiences based on the quality of our response)
• Strong analytical and organizational skills, with the ability to understand and review the financial return or ROI on the customer’s investment
• Strong written, spoken, and presentation skills, with the ability to communicate effectively with all levels of the organization - both internally and externally
• Proven ability to introduce and review new product features, best practices, and follow up with customers to advance desired platform adoption/usage
• Strong technical troubleshooting skills (i.e., previous support or SE experience), and an ability to collaborate, coordinate and escalate issues within a team of product support professionals
• Previous experience with Internet and networking technologies and products, including email security products 
• Well versed with using case management systems and CRM’s (e.g., SFDC / JIRA)
• Bachelor of Science in Computer Engineering/ Computer Science, Electronics and Communications Engineering or non-graduates with good communication skills, strong technical knowledge or similar work experience required 

Role Responsibilities + Deliverables

Value Realization:

• Serve as the ‘voice of the customer’ and provide internal feedback on how we can better serve them to maximize customer value and retention.
• Schedule, prepare and deliver Business Reviews for customers, with the top priority of proving ROI that leads to renewals/expansion.
• Increase customer adoption of key platform features and best practices to maximize ROI, ensuring the basis for retention, satisfaction, and growth.

Product Knowledge:

• Maintain a deep understanding of our product and roadmap, so you can guide customers to success and continue to drive up their Adoption Score.
• Educate customers on the most relevant features and functionality related to their specific requirements.

Relationship Building:

• Understand your customer’s industry trends, business challenges with email security, and current and potential use cases for Abnormal.
• With understanding of customer needs, establish a strategic, trusted advisor relationship at the highest relevant levels by guiding the customer on best practice usage of the platform to manage risk and meet/exceed their objectives.
• Develop and nurture Abnormal Security champions within your customer’s organization who advocate for the platform based on their positive experience.

Account Success Planning:

• Engage customers’ senior decision makers to understand their evolving strategy for email security and to shape Success Planning informed by these goals.
• Work with the internal Account team and external customer stakeholders to formulate/maintain a Success Plan outlining how Abnormal Security addresses their immediate and future needs (with success metrics).
• Proactively monitor customer health to reach out to customers before risks or issues
• escalate and identify remediation options.

Cross Functional Collaboration:

• Partner with Abnormal Security Account Team (Account Executives, Sales Engineers, Support Engineers, etc.) to ensure that customers renew and expand usage.

Triage and Risk Mitigation:

• Monitor customer user trends to recommend to internal teams risk mitigation actions (Product, Support, Services, etc.). Example: work with Engineering to stabilize customer’s advanced reporting needs based on repeated case escalations.
• Coordinate internal actions and schedule customer calls as necessary to address case issues and concerns and ensure all commitments are met.

#LI-MC2

About the Role

Abnormal AI is looking for a Senior Software Engineer to join the Adaptive Classifications Team. The team owns & operates Abnormal’s AI Security Mailbox and Detection 360 products. The team’s goal is to automate security analysts' workflows by providing them with reliable, intuitive, and delightful agentic products that give them back time in their day. 

This is a full-stack team responsible for all layers, including data storage, detection efficacy, backend, and frontend. The ideal candidate will have worked across the stack and have in-depth knowledge about backend systems, distributed computing, and event-driven architecture.

What you will do 

• Work with the Engineering Manager & Product Manager to craft the roadmap for the ACT team. 
• Lead and architect Software Projects critical to Abnormal’s success with a team of engineers through conception, design, implementation, launch & operation. 
• Provide guidance and mentorship for junior members of the team 
• Collaborate with Technical Program Managers, Product Managers, and Go-To-Market teams in order to implement, verify, and iterate on the issues & requests coming from our customers
• Raise the bar of excellence in engineering, actively contributing to knowledge sharing within the team, and participating in professional development activities.
• Grow into a tech lead role for the AI Security Mailbox product
• Own key deliverables from e2e within our division's quarterly roadmap and a subset of the key divisional SLAs/SLOs
• Provide direct leverage for the team by architecting and owning AI-native workflows to eliminate team toil.

Must Haves 

• BS degree in Computer Science, Applied Sciences, Information Systems, or other related engineering field
• 5+ years of industry experience on backend web development & distributed systems, designing & building software applications
• Experience working individually as well as in groups on a regular basis
• Experience working with distributed teams, proficient in asynchronous and written communication
• Experience building features & components from scratch and operating them, balancing feature development work with operational tasks
• Expert with Python and/or Go
• Proficient and bullish about AI tools such as Cursor, Claude, and other AI native workflows
• You’re growth-driven & looking to increase impact & responsibility over time

Nice to Have 

• Experience with our stack: Python, Go, AWS, Kubernetes, Django, Celery, Kafka,  Prometheus, Postgres/MySQL
• Experience with frontend frameworks, particularly React.js
• Tech Lead Experience
• Familiarity with AWS services and deployment practices.
• Startup or Cybersecurity Experience
• MS degree in Computer Science, Electrical Engineering, or other related engineering field

#LI-PP1

About the Role

We’re looking for a Technical Program Manager who excels at driving execution for AI-driven SaaS products. This is a unique yet exciting opportunity to join and contribute to Abnormal's Research & Development Operating System. The creation of predictable, reliable, and standardized R&D processes is crucial for Abnormal's future strategy and success. To continue thriving in business, Abnormal is focused on developing several new products and features leveraging AI technologies. Technical Program Managers will provide a consistent framework and fabric of execution as a foundation for executing these products.

In this role, you’ll partner closely with Product and Engineering teams to architect, define, and execute systems that ensure programs run predictably, efficiently, and with high visibility.

The ideal profile thrives in an entrepreneurial environment, handling competing priorities and ambiguity with confidence. You have a growth mindset and are a quick and keen learner.  

In this job, you will bring these skills

• Project / Program Management & Organization: Excellent project manager with delivering large cross functional complex projects. Able to take complex technical requirements and translate into program plans. 
• Exceptional communicator: Able to effectively collaborate with both technical and non-technical stakeholders in both written and verbal form.
• Works well in ambiguity: Ability to be a kickstarter especially in this initial Engine building phase.
• Ownership: Goal-oriented with an ownership mentality. Ability to self-organize, pull in resources with clear expectations and drive successful outcomes
• Continuous improvement: Committed to personal and professional growth, with a constant desire to improve, create value, and make your team better. Growth mindset and grit will be key traits to success.
• Technical Capabilities: Leverage a technical background to support engineering in technical design and gain credibility.

Role Responsibilities

• Translate complex technical requirements from Product Engineering, Platform and Infrastructure Engineering, ML Engineering, and other critical stakeholders into program plans with clearly defined milestones, owners, and deadlines
• Drive programs and manage project schedules by determining dependencies across project teams, proactively addressing risks, and reporting progress to stakeholders to ensure on-time delivery of program deliverables
• Participate in technical strategy development and resource planning with engineering and product partners
• Build strong relationships with key stakeholders to drive alignment and progress toward shared goals
• Design, establish, and iterate on best practices and repeatable processes for operational excellence, including incident management and leading post-mortem's 

Qualifications: 

• One to Three (1-3) years of professional experience in Technical Program or Project Management
• A Bachelor's degree in Engineering or a closely related discipline
• Experience with product lifecycle management and product operations best practices
• Experience working with SaaS products like Jira and an understanding of SQL
• Experience working in iterative, fast-paced weekly release environments, leveraging agile and scrum processes for planning, execution, and delivery."
• Capable of translating and communicating highly technical requirements in pragmatic & in a way that focuses on customer or business-impact
• Curiosity for AI-first security products and a desire to influence how they reach customers successfully.

#LI-EM5

About the Role

Abnormal AI is looking for an Enterprise Account Executive to join the East team. This team sells our security solutions to Enterprise level accounts within a defined territory (New York City).

The ideal candidate for the role will be local to the New York area and have the following skillset: 

• Proven hunter with a disciplined approach to early pipeline development and prospecting into enterprise accounts. Skilled at leveraging all five demand gen pillars: AE prospecting, SDRs, marketing, channel, and customer referrals.
• Strong qualifier with a knack for uncovering customer pain points and connecting them to compelling, value-driven solutions.
• Effective presenter able to tailor demos and messaging to resonate with stakeholders based on specific business challenges.
• Process-oriented with a consistent, repeatable sales methodology and strong time management skills — capable of managing multiple deals without sacrificing quality.
• Data-disciplined, maintaining accurate and consistent account and opportunity data at all times.
• Business case builder, experienced in quantifying ROI across multiple dimensions for diverse stakeholder groups.
• Knowledge sharer, able to extract, organize, and document customer insights and deal lessons to enable broader team learning.
• Internal guide, adept at navigating and supporting internal buying processes.
• Resilient and resourceful, with the grit to thrive in early-stage environments and a strong understanding of how to leverage cross-functional teams including SEs, marketing, BDRs, product, and CS.

What you will do 

• Sell Abnormal AI solutions to your defined territory with the goal to overachieve new annual recurring revenue quota
• Work enterprise 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 enterprise 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
• Continually document results and maintain accurate data across all sales systems (Salesforce, Highspot, Close Plan)
• Be a voice for the customer/prospect with internal teams including Sales Engineering/POV team, Product and Marketing to ensure appropriate prioritization to close more revenue.

Must Haves 

• Enterprise Account Hunter with 3+ years of direct (not overlay) experience selling into enterprise-sized organizations (3k+ employee count), including prospecting, winning new logos, and expanding major accounts in competitive, incumbent-heavy environments.
• Skill in negotiating with large organizations and closing complex sales
• Proven performer with consistent over quota performance and/or top 5% of sales org
• Technically competent: Conversant in key areas: security, email, cloud, AI, etc.
• Cyber-security Software sales: Experience selling subscription software/SaaS to CISOs and security personnel with average sales $100k+
• Start-up experience: Success at a company that was early stage, underdog or was a new entrant with large competitors or similar (limited resources-build territory including: channel, tech partners, initial customer wins, etc.)
• BS/BA degree or equivalent work experience

#LI-AK1

About the Role

Abnormal AI is looking for an Enterprise Account Executive to join the {Insert Region} team. This team sells our security solutions to Enterprise level accounts within a defined territory.

The ideal candidate for the role will be local to the Charlotte area and have the following skillset: 

• Proven hunter with a disciplined approach to early pipeline development and prospecting into enterprise accounts. Skilled at leveraging all five demand gen pillars: AE prospecting, SDRs, marketing, channel, and customer referrals.
• Strong qualifier with a knack for uncovering customer pain points and connecting them to compelling, value-driven solutions.
• Effective presenter able to tailor demos and messaging to resonate with stakeholders based on specific business challenges.
• Process-oriented with a consistent, repeatable sales methodology and strong time management skills — capable of managing multiple deals without sacrificing quality.
• Data-disciplined, maintaining accurate and consistent account and opportunity data at all times.
• Business case builder, experienced in quantifying ROI across multiple dimensions for diverse stakeholder groups.
• Knowledge sharer, able to extract, organize, and document customer insights and deal lessons to enable broader team learning.
• Internal guide, adept at navigating and supporting internal buying processes.
• Resilient and resourceful, with the grit to thrive in early-stage environments and a strong understanding of how to leverage cross-functional teams including SEs, marketing, BDRs, product, and CS.

What you will do 

• Sell Abnormal AI solutions to your defined territory with the goal to overachieve new annual recurring revenue quota
• Work enterprise 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 enterprise 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
• Continually document results and maintain accurate data across all sales systems (Salesforce, Highspot, Close Plan)
• Be a voice for the customer/prospect with internal teams including Sales Engineering/POV team, Product and Marketing to ensure appropriate prioritization to close more revenue.

Must Haves 

• Enterprise Account Hunter with 3+ years of direct (not overlay) experience selling into enterprise-sized organizations (3k+ employee count), including prospecting, winning new logos, and expanding major accounts in competitive, incumbent-heavy environments.
• Skill in negotiating with large organizations and closing complex sales
• Proven performer with consistent over quota performance and/or top 5% of sales org
• Technically competent: Conversant in key areas: security, email, cloud, AI, etc.
• Cyber-security Software sales: Experience selling subscription software/SaaS to CISOs and security personnel with average sales $100k+
• Start-up experience: Success at a company that was early stage, underdog or was a new entrant with large competitors or similar (limited resources-build territory including: channel, tech partners, initial customer wins, etc.)
• BS/BA degree or equivalent work experience

#LI-LB2

About the Role

Abnormal AI is seeking a Software Engineer 2 who is a solid software developer with a strong interest in Security & Privacy to join the Platform Security team. In this role, you will help protect customer data by implementing rigorous Security and Privacy standards along with robust Authentication, Authorization, and Auditability (AAA) customer-facing solutions. You will design, develop, and refine platform solutions that enforce AAA principles, ensuring all Abnormal products are properly secured, appropriately permitted, and comprehensively logged. The ideal candidate will have

• Practical Security mindset - ability to identify and address security vulnerabilities across the entire software development and operations lifecycle.
• Ability to break down Security & Privacy challenges into practical technical solutions, and leading their successful implementation.
• Skill and passion for leveraging AI-native approaches to enhance team workflows and engineering practices.
• Opportunity to contribute to cross-team collaboration with product engineering teams to both seamlessly integrate Security & Privacy best practices into microservice architecture and eliminating implementation overhead for development teams
• Opportunity to grow into Senior Software Engineer on the team, taking on larger projects, driving greater impact, and assuming additional leadership responsibilities.

What you will do 

• Apply practical Security principles and AI-native workflows to effectively deliver technical solutions.
• Adopt and refine AI-native workflows to provide direct leverage for the team.
• Lead and deliver impactful enhancements for the Platform Security team, enforcing Security & Privacy standards to support ongoing product and market expansion.
• Design and implement customer facing SSO, RBAC, Audit log solutions to enable Security and Privacy by design.
• Reconcile Platform and Security & Privacy requirements, building a secure platform that empowers global engineering teams to deliver high quality software at high velocity.
• Actively mentor and support the growth of junior team members

Must Haves 

• BS degree in Computer Science, Electrical Engineering, Computer Engineering or other related engineering field.
• 2+ years of experience as a Software Engineer.
• Strong Computer Science and programming fundamentals.
• Experience with system design and cloud infrastructure.
• Experience with Golang and Python programming languages.
• Proven track record of leading feature development and delivering high quality software.

Nice to Have 

• Knowledge of Authentication & Authorization and Platform Security & Privacy problem space, best practices, and related technologies.
• Understanding of distributed computing, CAP theorem, and system design tradeoffs.
• Ability to differentiate must-have versus nice-to-have Security and Privacy requirements.

#LI-NT1

About the Role

Abnormal AI is seeking a strategic and experienced Senior Revenue Marketing Manager to lead regional marketing initiatives that drive pipeline growth across our Enterprise and Strategic business in North Central & Ohio Valley. This role owns the end-to-end planning, execution, and performance of integrated marketing programs in close partnership with sales and channel teams. You will lead field and partner marketing strategy for your assigned region, creating high-impact campaigns, tailoring messaging for local relevance, and reporting on results tied to bookings and qualified pipeline.

This is a highly visible role that requires marketing leadership, strong cross-functional collaboration, and a deep understanding of B2B sales motions. You thrive in fast-paced, high-growth environments and have a passion for translating strategy into execution.

What You Will Do: 

• Lead regional field and partner marketing strategy to support pipeline and revenue goals through campaigns, events, ABM programs, and digital amplification
• Own end-to-end execution of region-specific initiatives—from idea through reporting—with accountability for budget, timeline, and impact
• Collaborate closely with AEs, CAMs, SDRs, and partner managers to drive aligned execution, participation, and adoption of marketing programs
• Build and maintain a quarterly pipeline generation plan, forecast impact, and adjust tactics based on results and market feedback
• Customize corporate messaging and content to suit regional buyer personas and go-to-market strategies
• Report on performance using Salesforce, Marketo, and Sigma dashboards; deliver insights to sales and marketing leadership to optimize ROI
• Mentor junior marketing team members or contribute to cross-regional initiatives that raise the bar for marketing excellence

Must Have: 

• 7+ years of B2B marketing experience, including field and channel marketing, with a strong track record of pipeline contribution
• Proven ability to independently plan, lead, and measure marketing programs tied to regional sales goals
• Deep experience collaborating with sales, partners, and cross-functional stakeholders to influence outcomes
• Strong strategic thinking, with hands-on ability to execute campaigns and adapt in real time
• Excellent written and verbal communication skills with the ability to tailor messaging to different audiences
• Proficiency with Salesforce, Marketo, and marketing analytics tools
• Willingness to travel 20–25% as needed

Nice to Have:

• Cybersecurity or SaaS industry experience
• Familiarity with account-based marketing (ABM) strategies
• Experience managing partner co-marketing initiatives or working within an ecosystem of distributors and system integrators
• Bachelor’s degree in Marketing, Business, Communications, or a related field

#LI-#LI-TC1

About the Role

Abnormal AI is seeking a dynamic and experienced Director of Mid-Market Sales to lead a high-performing sales organization responsible for accelerating new business growth across the west coast of the US. This strategic leader will define and execute long-term sales strategies to expand Abnormal’s footprint, penetrate new markets, and drive sustainable revenue growth.

The ideal candidate is a proven sales executive with deep cybersecurity expertise, a track record of leading and scaling teams that exceed quota, and the ability to collaborate cross-functionally to deliver meaningful business outcomes. This person will embody Abnormal’s values of integrity, excellence, and customer obsession, while inspiring their team to deliver extraordinary results. You will also need to be located in the western half of the US.

What you will do 

• Develop and execute regional and national go-to-market strategies to achieve aggressive revenue and market share goals.
• Lead, coach, and develop a team of senior sales professionals, creating a culture of accountability, collaboration, and continuous improvement.
• Drive organizational change and scalability by designing repeatable processes, productivity frameworks, and performance standards.
• Influence cross-functional strategy by partnering closely with Marketing, Product, and Customer Success to align market feedback with company priorities.
• Cultivate executive-level relationships with key customers, prospects, and partners to accelerate business growth and strengthen Abnormal’s market position.
• Oversee forecasting and performance metrics, ensuring accuracy, predictability, and operational excellence in revenue reporting.
• Expand the partner ecosystem, developing strategic relationships with new and existing channel partners to maximize regional impact.
• Represent the voice of the field in strategic planning sessions with senior leadership, contributing to company-wide growth initiatives and budgetary decisions.

Must Haves 

• 6+ years of experience leading high-performing sales teams focused on acquiring new business and new logos.
  3+ years of direct cybersecurity sales experience, with a consistent record of exceeding multi-million-dollar revenue targets.
• Proven ability to design and implement comprehensive sales strategies that achieve long-term business objectives.
• Demonstrated success in influencing executive stakeholders and driving alignment across cross-functional teams.
• Strong market analysis and business acumen, with the ability to identify emerging opportunities and competitive trends.
• Expertise in managing complex enterprise sales cycles with multiple stakeholders and deal sizes of $100K–$500K+.
• Exceptional leadership, communication, and organizational skills, with a passion for developing talent and scaling teams.
• Experience leveraging consultative and value-based sales methodologies (e.g., Force Management, Challenger Sale).
• Ability to operate effectively in a high-growth, fast-paced environment, balancing strategic vision with hands-on execution.

As a Director of Mid-Market Sales, you will be a key contributor to Abnormal AI’s long-term growth strategy. You’ll help define how we expand into new markets, scale revenue operations, and empower a world-class sales organization to protect customers from the most advanced cybersecurity threats.

#LI-AK1

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:
1. Compute (e.g., EC2, autoscaling, container runtimes, networking, security hardening)
2. Orchestration (e.g., Kubernetes/EKS, controllers/operators, scheduling, policies, multi-cluster)
3. 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

The Opportunity

Abnormal AI is revolutionizing cybersecurity by leveraging AI-native technologies to combat modern cyber threats. We’re building a team of top-tier engineers who are excited to use Generative AI tools like Cursor, GitHub Copilot, and Claude to redefine how software is built – faster, smarter, and more efficient.

We are seeking a highly skilled Software Engineer II to help shape the future of AI-powered application development. If you’re passionate about cutting-edge technology, scalable systems, and solving real-world challenges, this is your opportunity.

About You

You are someone who wants to make an impact. You are passionate about solving customer problems and have built up a base of skills in backend and distributed systems development to do so. You want to apply those skills on a problem that leaves the world in a better place. 

We are a scrappy team: we are building a new product from scratch – this means you should be comfortable with a level of uncertainty beyond what you’d find at a more mature company or even a more mature team at Abnormal. Not every project will come with a well defined PRD - that’s expected and we expect this engineer to go dig in and figure out what to do. This also means occasionally we’ll ask you to do things that may not strictly fit the role of a “backend engineer” - it might mean jumping on a customer call, or digging in to help fix a frontend bug. 

We are also not only a remote team, but a very distributed team, as such you will need to have excellent communication skills across both verbal and written mediums. You will need to be just as comfortable on a zoom call as writing a 1 pager project proposal to be shared across the team for technical feedback. 

In this job, you will bring these skills:

• Experience with building and operating distributed systems and services at a high scale (~billions of transactions each day)
• Streaming data systems - using Kafka, Spark, Map/Reduce or similar to process large data sets
• Working on large scale data storage systems, such as DynamoDB, Aerospike, Redis and Databricks
• 3-5 years of overall software engineering experience
• Strong sense of best practices in developing software

Role Responsibilities

• Build out storage and retrieval infrastructure for our Aggregates Platform
• Allows our various ingestion pipelines and detection algorithms to send us billions of data points per day to be stored and processed.
• Making sure that such a large scale data architecture works at our scale, low latency requirements and scales with our cellular architecture
• Work on a series of projects towards scalability, reliability and cost optimisations.
• Partner with our various customer teams
• Understand the use cases and scale requirements of our customers and work to implement them. 
• Help build our group through excellent interview practices
• This engineer must be able to accurately assess candidates technical skills, cultural fit and likelihood of success at Abnormal to ensure we hire the right team. 
• Be a talent magnet - someone who through the interview process demonstrates their own strengths in a way that attracts candidates to Abnormal and to the Aggregates team and ensures that we close the candidates we want to close. 

#LI-RT1

About the Role

Abnormal AI is looking for an Enterprise Account Executive to join our team. This team sells our security solutions to Enterprise Financial accounts within a defined territory.

The ideal candidate for the role will be local to the NY, CT, NJ or MA area and have the following skillset: 

• Proven hunter with a disciplined approach to early pipeline development and prospecting into enterprise accounts. Preference will be given to experience selling to Fin Serv or Insurance companies
•  Skilled at leveraging all five demand gen pillars: AE prospecting, SDRs, marketing, channel, and customer referrals.
• Strong qualifier with a knack for uncovering customer pain points and connecting them to compelling, value-driven solutions.
• Effective presenter able to tailor demos and messaging to resonate with stakeholders based on specific business challenges.
• Process-oriented with a consistent, repeatable sales methodology and strong time management skills — capable of managing multiple deals without sacrificing quality.
• Data-disciplined, maintaining accurate and consistent account and opportunity data at all times.
• Business case builder, experienced in quantifying ROI across multiple dimensions for diverse stakeholder groups.
• Knowledge sharer, able to extract, organize, and document customer insights and deal lessons to enable broader team learning.
• Internal guide, adept at navigating and supporting internal buying processes.
• Resilient and resourceful, with the grit to thrive in early-stage environments and a strong understanding of how to leverage cross-functional teams including SEs, marketing, BDRs, product, and CS.

What you will do 

• Sell Abnormal AI solutions to your defined territory with the goal to overachieve new annual recurring revenue quota
• Work enterprise 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 enterprise 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
• Continually document results and maintain accurate data across all sales systems (Salesforce, Highspot, Close Plan)
• Be a voice for the customer/prospect with internal teams including Sales Engineering/POV team, Product and Marketing to ensure appropriate prioritization to close more revenue.

Must Haves 

• Enterprise Account Hunter with 3+ years of direct (not overlay) experience selling into enterprise-sized organizations (3k+ employee count), including prospecting, winning new logos, and expanding major accounts in competitive, incumbent-heavy environments.
• Skill in negotiating with large organizations and closing complex sales
• Proven performer with consistent over quota performance and/or top 5% of sales org
• Technically competent: Conversant in key areas: security, email, cloud, AI, etc.
• Cyber-security Software sales: Experience selling subscription software/SaaS to CISOs and security personnel with average sales $100k+
• Start-up experience: Success at a company that was early stage, underdog or was a new entrant with large competitors or similar (limited resources-build territory including: channel, tech partners, initial customer wins, etc.)
• BS/BA degree or equivalent work experience

#LI-LB2

About The Role

Abnormal AI is looking for a 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 25% 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). 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.

This role would also have an opportunity to have a significant impact on the overall charter, direction and roadmap of the team. The Machine Learning Engineer would be involved in understanding the domain of false negatives i.e. the current and future attacks which can cause significant customer workflow disruption. They would help define the technical roadmap required to address the most pressing customer problems and simultaneously operate our detection decisioning system at an extremely high recall.

What You Will Do 

• Design and implement systems that combine rules, models, feature engineering, and business and product inputs into an email detection product, with senior engineer guidance.
• Understand features that distinguish safe emails from email attacks, and how our model stack enables us to catch them. 
• Identify and recommend new features groups or ML model approaches that can significantly improve detection efficacy for a product. Work with infrastructure & systems engineers to productionize  signals to feed into the detection system.
• Writes code with testability, readability, edge cases, and errors in mind.
• Train models on well-defined datasets to improve model efficacy on specialized attacks
• Actively monitor and improve FN rates and efficacy rates for our message detection product attack categories, through  feature engineering, rules and ML modeling.
• Analyze FN and FP datasets to categorize capability gaps and recommend short term feature and rule ideas to improve our detection efficacy.
• Contribute in other areas of the stack: building and debugging data pipelines, or presenting results back to customers in our tools when the occasion arises

Must Have

• 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.
• 1+ years of experience with writing stable and production level pipelines for model training and evaluation leading to reproducible models and metrics.
• Experience with data analytics and wielding SQL+pandas+spark framework to both build data and metric generation pipelines, and answer critical questions about system efficacy or counterfactual treatments.
• Ability to understand business requirements thoroughly and bias toward designing a simplest yet generalizable ML model / system that can accomplish the goal.
• Uses a systematic approach to debug both data and system issues within ML / heuristics models.
• Fluent with Python and machine learning toolkits like numpy, sklearn, pytorch and tensorflow.
• Effective software engineering skills who can find answers quickly from code base and writes structured, readable, well tested and efficient code.
• BS degree in Computer Science, Applied Sciences, Information Systems or other related engineering field

Nice To Have 

• MS degree in Computer Science, Electrical Engineering or other related engineering field
• Experience with big data, statistics and Machine Learning
• Experience with algorithms and optimization

This position is not: 

• A role focused on optimizing existing machine learning models 
• A research-oriented role that's two-steps removed from the product or customer
• A statistics/data science meets ML role

#LI-RT1

About the Role

Abnormal AI is seeking a Full Stack Software Engineer II to join our innovative team, working across the Messaging Security Products (MSP) division, including the Threat Visibility and Exploration Team (TREX) and the Adaptive Classifications Team (ACT). This role focuses on delivering a top-tier product experience by enhancing our core offerings in Email Security and threat visibility. The engineer will be responsible for building and maintaining comprehensive products, ensuring seamless integration from the database layer to the user interface, with a primary focus on back-end development and some front-end responsibilities (80% back end, 20% front end).

The ideal candidate will have a strong background in full-stack development, possessing in-depth knowledge of both frontend and backend technologies. This position requires leveraging skills to improve visibility into detected threats, enabling SOC teams to intuitively search and filter threat data. Additionally, the role supports SOC workflow automation by developing tools such as the AI Security Mailbox and Detection 360. If you are passionate about creating effective cybersecurity solutions and enhancing user experiences, we invite you to apply and make a meaningful impact in the industry.

What you will do 

• Design and execute software projects that are crucial to Abnormal’s success, in collaboration with a team of engineers, through conception, design, implementation, launch, and operation
• Provide guidance and mentorship for junior members of the team 
• Collaborate with Technical Program Managers, Product Managers, and GTM teams to implement, verify, and iterate on issues and requests from our customers
• Raise the standard of excellence in engineering by actively sharing knowledge within the team and engaging in professional development activities
• Hit the ground running by contributing to the team's work within the first two weeks

Must Haves 

• BS degree in Computer Science, Applied Sciences, Information Systems, or other related engineering field
• 3+ years of industry experience designing & building fullstack software applications
• Experience with our stack: 
• Expert in Python and/or Go skills
• Intermediate React, Redux, JS/Typescript
• Experience building features & components from scratch and operating them, balancing feature development work with operational tasks
• Open to following pre-established guidelines, coding practices, and conventions
• Experience working with distributed teams, proficient in asynchronous and written communication
• You’re growth-driven & looking to increase impact & responsibility over time
• You’re able to leverage AI Developer tools such as Copilot, Claude, or Cursor in your daily workflow

Nice to Have 

• Familiarity with our stack: AWS, K8s, Django, Postgres/MySQL, Prometheus
• Familiarity with AWS services and deployment practices.
• Experience working with LLM-powered tools and AI assistants
• Knowledge of containerization
• Experience with distributed systems

#LI-PP1

About the Role

Abnormal AI is looking for an Enterprise Account Executive to join the East team. This team sells our security solutions to Enterprise level accounts within a defined territory (New England).

The ideal candidate will be based in the Boston metro area or Rhode Island and bring the following skills:

• Proven hunter with a disciplined approach to early pipeline development and prospecting into enterprise accounts. Skilled at leveraging all five demand gen pillars: AE prospecting, SDRs, marketing, channel, and customer referrals.
• Strong qualifier with a knack for uncovering customer pain points and connecting them to compelling, value-driven solutions.
• Effective presenter able to tailor demos and messaging to resonate with stakeholders based on specific business challenges.
• Process-oriented with a consistent, repeatable sales methodology and strong time management skills — capable of managing multiple deals without sacrificing quality.
• Data-disciplined, maintaining accurate and consistent account and opportunity data at all times.
• Business case builder, experienced in quantifying ROI across multiple dimensions for diverse stakeholder groups.
• Knowledge sharer, able to extract, organize, and document customer insights and deal lessons to enable broader team learning.
• Internal guide, adept at navigating and supporting internal buying processes.
• Resilient and resourceful, with the grit to thrive in early-stage environments and a strong understanding of how to leverage cross-functional teams including SEs, marketing, BDRs, product, and CS.

What you will do 

• Sell Abnormal AI solutions to your defined territory with the goal to overachieve new annual recurring revenue quota
• Work enterprise 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 enterprise 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
• Continually document results and maintain accurate data across all sales systems (Salesforce, Highspot, Close Plan)
• Be a voice for the customer/prospect with internal teams including Sales Engineering/POV team, Product and Marketing to ensure appropriate prioritization to close more revenue.

Must Haves 

• Enterprise Account Hunter with 3+ years of direct (not overlay) experience selling into enterprise-sized organizations (3k+ employee count), including prospecting, winning new logos, and expanding major accounts in competitive, incumbent-heavy environments.
• Skill in negotiating with large organizations and closing complex sales
• Proven performer with consistent over quota performance and/or top 5% of sales org
• Technically competent: Conversant in key areas: security, email, cloud, AI, etc.
• Cyber-security Software sales: Experience selling subscription software/SaaS to CISOs and security personnel with average sales $100k+
• Start-up experience: Success at a company that was early stage, underdog or was a new entrant with large competitors or similar (limited resources-build territory including: channel, tech partners, initial customer wins, etc.)
• BS/BA degree or equivalent work experience

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About the Role

Abnormal AI is looking for an Embedded Detection Analyst to join our Threat Intelligence team. The Embedded Detection Program partners directly with our highest-value customers to rapidly identify, resolve, and demonstrate measurable improvements in detection performance. This role combines the investigative mindset of a SOC analyst with the customer-focused approach of a detection engineer—you'll own end-to-end customer outcomes by understanding pain points, using our detection analysis platform to identify root causes, implementing tuning solutions, and validating improvement. The ideal candidate will bring SOC or security operations experience, strong analytical skills, hypothesis-driven investigation approaches, and the ability to work systematically with established tools and processes. 

You'll work at the intersection of security operations, customer success, and detection quality, using our suite of analysis tools and AI-powered productivity enhancers to drive measurable customer value while contributing to the operational playbook that scales this program.

Scope and scale: Own detection performance outcomes for 3-5 strategic customer accounts, with responsibility for measurable detection KPIs, cross-customer tuning patterns, and contributions to the programs playbook.  

As an Embedded Detection Analyst, you are a trusted technical partner for our strategic customers. You are highly motivated to understand what attackers are doing, why detections are behaving unexpectedly, and how to systematically improve customer outcomes.

• You're driven to stop email attackers and understand email security attack modes, TTPs, and threat patterns.
• You like to dive into the details of complex detection systems, understand their behavior, and analyze root causes. When detection output is unexpected, you investigate systematically until the issue is identified.
• You approach technical challenges methodically, following established playbooks while identifying opportunities for improvement and automation.
• You document your investigations clearly, maintaining comprehensive notes that can be used for future reference and team learning.
• You are a clear communicator who can explain technical detection issues to both technical and non-technical audiences, particularly customers and GTM stakeholders.
• You remain calm and responsive during high-pressure situations, including customer escalations and critical misclassifications
• You are a trusted team member—when you take on tasks, there is confidence they will be completed on time and to specification, with appropriate escalation when needed
• You primarily operate behind the scenes, partnering closely with GTM and customer-facing teams.  While you may occasionally join customer discussions to explain detection findings, your core focus is investigation, tuning, and measurable detection improvement rather than ongoing account management.  

You measure your success by quantified detection improvements (for example, reduction in false positives/negative,improved precision/recall) across your portfolio of accounts and the entire system, not just by closing individual investigations.

What you will do 

• Own detection performance outcomes for 3-5 strategic customer accounts, ensuring the AI engine maintains high efficacy aligned to each customer’s risk tolerance and priorities.
• Become a reliable resource for customer detection issues, handling high-priority false positive and false negative escalations, often using investigation outputs from Email Security Analysts and other Threat Intel inputs.  
• Monitor and analyze misclassification patterns using internal detection analysis dashboards and tools.
• Perform incident triage and alert correlation to systematically diagnose why detections produce false positives or miss threats, using IOCs and TTPs.
• Design and implement detection tuning strategies based on customer-specific signals, attack patterns, threat intelligence, and behavioral characteristics, following established methodologies.
• Fine-tune detection thresholds and configurations to optimize precision while maintaining coverage against emerging threats, balancing detection efficacy with customer experience.
• Generate and present impact reports that demonstrate measurable improvement in detection improvement to both customers, and internal stakeholders, in close partnership with GTM teams.
• Maintain close alignment with Sales and Customer Success leads to understand customer pain points, renewal risks, and what matters most for securing deals, without taking on primary account management responsibilities.  
• Document detection issues, investigation findings, and tuning approaches in a structured, reusable format to enable team learning and program improvement.
• Review audit logs and analyze system interactions using internal and external tools, including AI-based analytical tools, to identify root causes, and tuning opportunities.
• Identify cross-customer patterns and contribute tuning methodologies to the operational playbook that can be leveraged across the program.
• Submit D360 CFN reports and AISM submissions to improve global detection coverage based on customer findings.
• Provide feedback to tooling team on analysis gaps, needed capabilities, and opportunities for automation, helping shape the roadmap for detection analysis and tuning tools.
• Support training of other team members by sharing investigation insights and developing repeatable methodologies, including leveraging outputs from Email Security Analysts to scale tuning impact.  
• Leverage AI tools (ChatGPT, Claude, Claude Code, etc.) in established workflows and investigations to accelerate research, automate routine tasks, enhance documentation, and improve problem-solving efficiency

Must Haves 

• 7+ years of experience in SOC operations, detection engineering, incident response, email security analysis, or related cybersecurity role.
• Experience with security monitoring and detection platforms such as SIEM, EDR, email security tools, or similar technologies (experience with Abnormal Security is a plus).
• Experience in email attack analysis, with ability to identify and leverage IOCs and TTPs to understand and remediate threats.
• Deep understanding of precision/recall metrics (true/false negatives, true/false positives) and their business impact on security operations and customer experience.  
• Proven experience triaging security alerts, performing root cause analysis following established procedures, and tuning detection logic to reduce false positives while maintaining coverage.
• Ability to perform standardized data analysis procedures, effectively following established runbook methodologies and debugging analysis workflows as needed
• Demonstrated proficiency with AI tools (ChatGPT, Claude, Claude Code, Copilot, or similar) to enhance productivity, automate tasks, and accelerate problem-solving in both routine workflows and ad-hoc investigations.
• Experience in technical writing that effectively communicates complex issues, with ability to adapt communications for audiences of varying technical expertise, particularly in customer-facing contexts.
• Proven ability to work directly with customers or stakeholders on technical security issues, in collaboration with Customer Success and Sales, translating findings into business value without owning management.
• Demonstrated ability to remain calm and responsive during high-pressure situations, including customer escalations and active cybersecurity incidents.
• Outcome-oriented mindset that measures success by customer impact and detection improvement rather than activities completed.
• Strong ownership mentality with ability to work within established processes while identifying improvement opportunities—trusted to complete tasks on time and to specification with appropriate escalation when needed.

Nice to Have 

• Background in email security, phishing detection, anti-abuse systems, spam analysis, or email threat containment.
• Basic SQL knowledge with ability to write simple queries, perform data filtering, and understand data structures.
• Familiarity with Python, data analysis scripting, or notebook environments (e.g. Databricks, Jupyter, Splunk)
• Understanding of threat intelligence, IOCs (Indicators of Compromise), and threat hunting concepts.
• Familiarity with the MITRE ATT&CK framework and common email attack vectors (phishing, BEC, credential harvesting, malware, account takeover)
• Security certifications such as Security+, Network+, GIAC (GCIA, GCIH), CISSP, CEH, or similar
• Previous experience in technical account management, customer success engineering, or customer-facing security roles
• Examples of using AI tools and automation to solve security problems or accelerate learning in technical domains
• Experience documenting investigation methodologies and training team members

#LI-JT1

About the Role

Abnormal AI is looking for an Enterprise Account Executive to join the East team. This team sells our security solutions to enterprise-level accounts within a defined territory (Philadelphia).

The ideal candidate for the role will be local to the Philadelphia or Southern New Jersey area and have the following skillset: 

• Proven hunter with a disciplined approach to early pipeline development and prospecting into enterprise accounts. Skilled at leveraging all five demand gen pillars: AE prospecting, SDRs, marketing, channel, and customer referrals.
• Strong qualifier with a knack for uncovering customer pain points and connecting them to compelling, value-driven solutions.
• Effective presenter able to tailor demos and messaging to resonate with stakeholders based on specific business challenges.
• Process-oriented with a consistent, repeatable sales methodology and strong time management skills — capable of managing multiple deals without sacrificing quality.
• Data-disciplined, maintaining accurate and consistent account and opportunity data at all times.
• Business case builder, experienced in quantifying ROI across multiple dimensions for diverse stakeholder groups.
• Knowledge sharer, able to extract, organize, and document customer insights and deal lessons to enable broader team learning.
• Internal guide, adept at navigating and supporting internal buying processes.
• Resilient and resourceful, with the grit to thrive in early-stage environments and a strong understanding of how to leverage cross-functional teams including SEs, marketing, BDRs, product, and CS.

What you will do 

• Sell Abnormal security solutions to your defined territory with the goal to overachieve new annual recurring revenue quota
• Work enterprise 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 enterprise 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
• Continually document results and maintain accurate data across all sales systems (Salesforce, Highspot, Close Plan)
• Be a voice for the customer/prospect with internal teams including Sales Engineering/POV team, Product and Marketing to ensure appropriate prioritization to close more revenue.

Must Haves 

• Enterprise Account Hunter with 3+ years of direct (not overlay) experience selling into enterprise-sized organizations, including prospecting, winning new logos, and expanding major accounts in competitive, incumbent-heavy environments.
• Skill in negotiating with large organizations and closing complex sales
• Proven performer with consistent over quota performance and/or top 5% of sales org
• Technically competent: Conversant in key areas: security, email, cloud, AI, etc.
• Cyber-security Software sales: Experience selling subscription software/SaaS to CISOs and security personnel
• Start-up experience: Success at a company that was early stage, underdog or was a new entrant with large competitors or similar (limited resources-build territory including: channel, tech partners, initial customer wins, etc.)
• BS/BA degree or equivalent work experience
•  

#LI-AK1

About the Role

Abnormal AI is seeking an experienced Engineering Manager to lead our Aggregates Systems team, which owns some of the most mission-critical infrastructure in the company. These systems sit at the core of our detection architecture, transforming raw behavioral signals into high-quality aggregate datasets that directly power security decisions across all Abnormal products.

The Aggregates Systems operate at extreme scale—processing tens of billions of events per day and approaching one million events per second at peak—and correctness, availability, and timeliness are non-negotiable. In this role, you will manage and grow a team of engineers responsible for building, operating, and evolving large-scale batch and real-time aggregation systems that Abnormal’s detection, messaging, and customer trust depend on. You will partner closely with engineering, data science, product, and infrastructure teams to ensure these systems remain reliable, performant, and scalable as the company grows.

What You’ll Do

Technical & Systems Leadership

• Own the technical direction, reliability, and long-term evolution of aggregation systems spanning both batch and real-time processing.
• Guide architectural decisions for distributed data processing, storage, and retrieval systems with strict correctness, latency, and availability requirements.
• Ensure aggregation systems consistently meet SLAs for data freshness, accuracy, and uptime across detection and messaging use cases.
• Act as a senior technical steward for systems whose failure or inaccuracy would have direct customer and security impact.
  
  

People Management & Team Development

• Manage, mentor, and develop a team of software engineers working across batch and streaming aggregation systems.
• Foster a culture of technical excellence, operational ownership, and continuous improvement.
• Support career growth through coaching, feedback, and clear performance expectations.
  
  

Cross-Functional Collaboration

• Partner with Detection Engineering, Data Science, Product, and Infrastructure teams to translate detection requirements into scalable aggregation capabilities.
• Collaborate with stakeholders to define roadmaps that balance feature delivery with system stability and long-term maintainability.
• Serve as a technical and organizational point of accountability for aggregation systems.
  
  

Operational Excellence

• Drive strong operational practices, including monitoring, alerting, incident response, and post-incident analysis.
• Improve observability, data quality validation, and resiliency across batch and real-time systems.
• Ensure systems scale efficiently as data volume, customer footprint, and use cases expand.
  
  

Systems You’ll Own

Aggregates System

• In Online systems, the team operates low-latency aggregation systems designed to process high-throughput event data with strict timeliness guarantees.
• Composed of event producers, a Kafka-based event stream, and a signals stack including ingestion and storage update services.
• Enable fast, flexible retrieval of aggregate values for security and messaging applications.

• In Offline systems, the team operates batch processing systems that transform large volumes of raw behavioral signals (e.g., emails and user activity) into comprehensive aggregate datasets.
• Operate on scheduled cadences and support long lookback windows for historical analysis and trend detection.
• Play a foundational role in determining whether messages are safe or malicious by powering detection logic and models.

What We’re Looking For

Required Qualifications

• 5+ years of software engineering experience, with 2+ years in an engineering management role.
• Strong experience designing and operating distributed, data-intensive systems.
• Hands-on familiarity with batch processing and/or real-time streaming systems (e.g., Kafka, Spark, Flink, Beam).
• Proven ability to lead complex, high-impact technical initiatives and make sound architectural tradeoffs.
• Excellent communication skills and experience working cross-functionally.
  
  

Preferred Qualifications

• Experience building or owning mission-critical aggregation or signals systems.
• Familiarity with data correctness, quality guarantees, and observability in production environments.
• Experience in security, messaging, or other high-reliability SaaS domains.
• Track record of scaling systems and teams in fast-growing organizations.
  
  

#LI-ML1

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
• 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