Abnormal Security

Performance Marketing

• Run day-to-day ownership of global paid search, paid social (LinkedIn, Meta, YouTube), programmatic display, and content syndication
• Set channel strategy by segment, geography, and funnel stage — not just by channel defaults
• Manage a significant paid media budget with full accountability for pipeline contribution, cost-per-opportunity, and ROI by pod
• Partner with RevOps and Marketing Ops to close measurement gaps — you won't accept "last-touch" as the answer
• Design and implement repeatable operating processes: campaign scaffolding, naming conventions, QA checklists, reporting cadences, and launch workflows
• Build automation layers that reduce manual work — bidding logic, budget pacing alerts, performance anomaly flags, and audience refresh triggers
• Reduce agency dependency by bringing capability in-house, and maintain a clear view of what the agency layer should and shouldn't own
• Create and maintain a living playbook so your program can scale without you being the single point of failure
• Use AI tools daily: for copy generation and testing, audience hypothesis development, performance analysis, competitive research, and reporting narratives
• Build AI-assisted workflows that compress the time between insight and action — weekly optimizations shouldn't take half the week
• Know the limits: where AI accelerates (iteration, synthesis, pattern recognition) and where human judgment is required (original creative positioning, brand voice, strategy)
• Contribute to Abnormal's internal AI operating model — share what's working with the broader team, help other functions level up
• Build and manage paid programs tied to specific pipeline targets by segment (MM, ENT, PubSec) and geography
• Coordinate closely with field marketing, SDRs, and demand gen to align paid plays with account motion and pipeline gaps
• Own the conversion story from ad impression to qualified pipeline — be fluent in attribution, funnel metrics, and what each number actually means
• Run structured experiments: hypothesis → test → read → scale. Not one-off A/B tests that go nowhere

Senior Paid Media Manager

Collections

• Manage the end-to-end collections process, including issuing initial invoices, following up on outstanding balances, and resolving invoice disputes in a timely manner
• Provide post-close audit reporting related to billing and collections activity
• Ensure efficient processing of all collections activities, including updating and maintaining customer payable contact information
• Serve as the subject matter expert to the business on effective collections practices and policies
• Own the AR aging report and produce weekly and monthly collections metrics including DSO, collection rate, and bad debt reserve
• Present collections trends and insights to the Deal Desk Director and Finance leadership, surfacing risks and recommended actions
• Leverage AI tools to automate aging report generation, flag high-risk accounts, and draft executive-ready summaries
• Serve as the primary point of contact for customer billing inquiries, building relationships with customer AP teams to proactively prevent payment delays
• Maintain accurate and up-to-date customer payable contact records, anticipating personnel changes that could disrupt payment workflows
• Use AI-assisted drafting tools to produce timely, professional customer communications that balance collections urgency with relationship preservation
• Manage a formal escalation path for delinquent accounts, coordinating with Sales, Legal, and Customer Success when accounts require executive outreach or collections agency involvement
• Triage and resolve invoice disputes efficiently, documenting root causes and identifying recurring issues to drive upstream process fixes
• Apply AI-powered triage to prioritize dispute queues and surface resolution recommendations based on account history and contract terms
• Manage the bad debt write-off process, including documentation, approval workflows, and coordination with the Controller or VP Finance
• Perform periodic bad debt reserve analysis, ensuring reserve levels appropriately reflect aging trends and collection risk
• Maintain audit-ready write-off records in compliance with internal controls and accounting policy
• Own collections policy and procedure documentation, ensuring all workflows are clearly defined, consistently followed, and updated as processes evolve
• Ensure SOX-relevant collections controls are documented and audit-ready, partnering with the accounting team during internal and external audits
• Build and maintain AI prompt libraries and workflow templates that enable the team to scale collections operations efficiently and consistently
• Leverage AI-powered platforms (e.g., Claude, Abnormal’s internal AI tools) to automate repetitive collections tasks such as invoice follow-up sequencing, customer communication drafting, and dispute triage
• Identify opportunities to integrate AI tooling into the collections workflow, including intelligent prioritization of aging receivables and automated cash application matching
• Partner with the Deal Desk Director and cross-functional stakeholders to evaluate, test, and implement AI-assisted process improvements that reduce manual effort and improve collection cycle times
• Build and maintain prompt libraries, workflow templates, and documentation to scale AI-assisted processes across the team
• Monitor AI-generated outputs for accuracy and compliance, ensuring all automated communications and reporting meet Abnormal’s standards

Senior Credit & Collections Specialist

Sales Engineer

• Serve as the technical sales lead throughout the Enterprise pre-sales cycle, including owning Proof of Value (POV) outcomes and driving their success
• Co-lead customer relationships alongside Enterprise Account Executives and deliver technical product demonstrations
• Provide technical pre-sales support for Enterprise Account Executives
• Partner with Enterprise Account Executives on the development and execution of sales objectives and account-based penetration strategies
• Conduct technical and competitive landscape research to effectively address customer questions and objections
• Serve as a technical resource for Enterprise pre-sales security and platform diligence
• Educate sales executives and partners on Abnormal AI’s products, platform, and security posture
• Obsessively drive customer satisfaction and successful Enterprise outcomes

Sales Engineer, Enterprise

• Serve as the technical sales lead throughout the Enterprise pre-sales cycle, including owning Proof of Value (POV) outcomes and driving their success
• Co-lead customer relationships alongside Enterprise Account Executives and deliver technical product demonstrations
• Provide technical pre-sales support for Enterprise Account Executives
• Partner with Enterprise Account Executives on the development and execution of sales objectives and account-based penetration strategies
• Conduct technical and competitive landscape research to effectively address customer questions and objections
• Serve as a technical resource for Enterprise pre-sales security and platform diligence
• Educate sales executives and partners on Abnormal AI’s products, platform, and security posture
• Obsessively drive customer satisfaction and successful Enterprise outcomes.

Backend Engineer

• Develop and enhance the customer onboarding experience and set up systems owned by the Customer Journey team.
• Build and scale backend services within the Multi-Product Platform division.
• Automate manual steps in the onboarding process and help decouple downstream systems from the onboarding pipeline.
• Work across APIs, backend services, and data workflows to solve technical challenges related to customer provisioning at scale.

Software Engineer I – Backend

Account Executive

• 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.

Enterprise Account Executive

Strategy

• Be the day-to-day lead translating transformation vision into shippable requirements for AI PMs and engineers, then driving cross-functional execution to ship
• Build and maintain the enterprise capability map: the system of record for who owns what, how it's done today, and where AI fits
• Run the transformation intake, prioritization, and operating cadence that keeps the highest-value initiatives sequenced, resourced, and moving across functions
• Define solution paths for each prioritized transformation, including what humans do, what AI does, what systems do, and the rationale behind the call
• Own the measurement layer for transformation: ROI analysis, business value assessment, metric trees, instrumentation, and the analytics surface the executive team uses to assess progress
• Drive role redesign, change management, and adoption with People COEs and functional leaders so transformations actually land in how people work
• Lead company-wide AI initiatives end-to-end, from problem framing through rollout, that drive step-change improvements crossing three or more functions

Transformation Strategy Manager

Product Manager

• Lead product definition and roadmap development for Abnormal's external integration platform, covering REST API capabilities, SIEM and SOAR connectors, and API lifecycle management (token management, versioning, schema governance).
• Drive Abnormal toward an API-first product model where customers can rely on a consistent, well-documented REST API to perform any action available in the portal.
• Drive adoption and reliability of Abnormal's integrations across major security platforms (e.g., Splunk, Microsoft Sentinel, Google SecOps, CrowdStrike)
• Own the roadmap for emerging AI-native integrations, including Abnormal's MCP Server
• Partner across the Platform Features teams on adjacent areas like notifications, user settings, and product configuration
• Collaborate closely with engineering, sales, and customer success to translate customer escalations and field feedback into well-scoped requirements.
• Leverage AI tools daily for efficiency, clarity, and informed decision-making, and prototype ideas rapidly to generate fast feedback loops.

Product Manager II

Sales Development Rep

• Contact potential clients through outbound cold calls, emails, and LinkedIn
• Identify client needs and suggest appropriate products/services
• Proactively seek new business opportunities in the market
• Qualify leads from marketing campaigns as sales opportunities
• Exercise leadership, demonstrate effective sales planning, and work in a positive and motivating way with internal counterparts and external customers
• Meet or exceed monthly, quarterly and yearly targets
• Effectively partner and work across sales teams
• Act as the subject matter expert on Abnormal AI product offering

Sales Development Representative

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• Contact potential clients through outbound cold calls and emails
• Identify client needs and suggest appropriate products/services
• Proactively seek new business opportunities in the market
• Qualify leads from marketing campaigns as sales opportunities
• Exercise leadership, demonstrate effective sales planning, and work in a positive and motivating way with internal counterparts and external customers.
• Meet or exceed monthly, quarterly and yearly targets
• Effectively partner and work across sales teams
• Act as the subject matter expert on Abnormal Security product offering.

Support Engineer

• Serve as a trusted L1 technical advisor for enterprise customers using Abnormal’s Cloud Email Security, AI Security Agents, and SaaS Security solutions.
• Own and resolve inbound support tickets, including configuration issues, API-related questions, behavioral false positives, and threat investigations.
• Deliver timely customer updates, root cause analysis, and solution recommendations that build trust and confidence in the platform.
• Partner closely with Engineering teams to drive high-quality resolutions and maintain thorough post-mortem documentation.
• Support onboarding and customer engagement efforts alongside Customer Success Managers.
• Create and maintain internal and external knowledge base documentation to improve customer self-service and case deflection.
• Identify recurring support trends and customer pain points, and provide feedback that helps improve product functionality and user experience.

L1 Technical Support Engineer

• Own focused product areas and two-quarter roadmap planning. Own product definition for focused areas, synthesize customer feedback and internal inputs, and help shape a medium-term roadmap across two or more confined product surface areas or one moderately complex area in alignment with team and company priorities.
• Drive discovery informed by customer and market insight. Partner with customers, field teams, and internal stakeholders to understand user needs, product pain points, and emerging opportunities, turning them into clear product hypotheses and prioritized work.
• Lead cross-functional execution from concept to launch. Partner with Engineering, Design, and Data Science to scope solutions, make tradeoffs, manage timelines, and ensure high-quality launches.
• Improve detection clarity and consistency across surfaces. Help shape how threats are categorized and grouped into campaigns, and improve consistency across customer-facing surfaces, including Threat Log, Detection 360, and related intelligence experiences.
• Support red teaming and validation efforts. Contribute to product work that strengthens confidence in detection quality by validating campaign detection and attribution against adversarial patterns and real-world attack behavior.
• Champion metrics, experimentation, and continuous improvement. Define and track product KPIs, analyze outcomes, and use data-informed iteration to improve product quality, customer value, and business impact.
• Partner closely with GTM and customer-facing teams. Work with Product Marketing, Sales, Customer Success, and Support to ensure successful launches, strong enablement, and tight feedback loops from the field back into the roadmap.
• Leverage AI and modern tooling for speed and clarity. Use AI-native tools and modern product workflows to accelerate research, documentation, prototyping, and decision-making.

Product Manager II, Detection

Application Engineer

• Lead threat modeling and security architecture reviews with engineering teams by translating security risks into development actions.
• Architect, build, and maintain security tooling and integrations that enable secure development workflows (e.g., SAST, DAST, SCA, IAST tools).
• Collaborate with Engineering, DevOps, and Platform teams to build scalable security controls via Infrastructure-as-Code and secure CI/CD pipelines.
• Design and deploy automated security testing frameworks to identify vulnerabilities early in the development process.
• Serve as a hands-on technical contributor during security incidents by analyzing application-level behavior and enhancing response processes.
• Mentor and support junior engineers on secure coding practices, security architecture, and security tooling integrations.
• Evaluate and uplift application security tooling across commercial and open-source capabilities by focusing on scale, efficiency, and precision.
• Define and track key security posture metrics, building dashboards or reports to visualize security coverage and vulnerability trends.
• Partner with engineering teams to implement and maintain security controls across applications and services.
• Stay current with emerging AI/ML security threats, evaluating them for business applicability and integration.

Application Security Engineer II

Sales

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Senior Paid Media Manager

Senior Credit & Collections Specialist

Sales Engineer, Enterprise

Sales Engineer, Enterprise

Software Engineer I – Backend

Enterprise Account Executive

Transformation Strategy Manager

Product Manager II

Sales Development Representative

Sales Development Representative

Sales Development Representative

L1 Technical Support Engineer

Product Manager II, Detection

Application Security Engineer II

Regional Director, Channel Sales