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We are the AI Experience Framework (AIUX) team that builds the platform that powers ServiceNow's AI-first user interfaces. Using modern Lit-based web components, AIUX builds modular, reusable conversational experiences that serve as the technical foundation for conversation-first applications like Employee Slate. This role owns full-stack architectural decisions in a modern JavaScript/component-driven environment, working across AI integration, performance scale, and multi-team coordination — spanning our SSR runtime (server-rendered Lit components, versioned request routing, isolated execution pools) and the ServiceNow Glide platform layer it integrates with. What you'll do: Work with product owners to understand detailed requirements and drive the full development lifecycle Build software that is simple to use, allowing customers to extend and customize functionality to meet their specific needs Contribute to the design and implementation of new products and features while enhancing the existing product suite Apply advanced knowledge of data structures, algorithms, OO design, design patterns, and performance/scale considerations Raise the engineering bar through architecture reviews, code reviews, mentoring, and technical direction To be successful in this role you have: Experience in leveraging or critically thinking about how to integrate AI into work processes, decision-making, or problem-solving. This may include using AI-powered tools, automating workflows, analyzing AI-driven insights, or exploring AI's potential impact on the function or industry. Completed a Master's degree in Computer Science, Computer Engineering, or similar field 3 years of professional software engineering experience with deep expertise in JavaScript and substantial experience in Java or a similar OO language (C++, C#, Go) Passion for JavaScript and the Web as a platform, reusability, and componentization Strong and demonstrated experience with modern UI frameworks: Angular, React, Vue, or Lit Strong and demonstrated knowledge of data structures, algorithms, object-oriented design, design patterns, and performance/scale considerations Strong and demonstrated knowledge and experience with relational databases: development, troubleshooting, and performance optimization Strong and demonstrated experience in server-side rendering and hydration, including the failure modes specific to isomorphic rendering (markup mismatches, browser-API leakage into server code) Strong and demonstrated systems-level Node.js experience: process/worker isolation (V8 isolates or equivalent sandboxing), HTTP/1.1 and HTTP/2 semantics, reverse proxying, and designing for concurrent versioned rollouts Comfortable working across a JVM/Maven backend (Java, ServiceNow Glide platform conventions) in addition to a Node/TypeScript SSR stack Demonstrated experience as a senior individual contributor responsible for code quality, and mentoring Exposure to multiple technology stacks: Cloud Dev, Platforms, Web Dev, Frameworks, service-oriented architecture Preferred — AIUX Framework specific Experience with build systems that emit multiple targets from one component source (server bundles vs. code-split browser bundles) Hands-on experience operating services in Kubernetes: deployment configuration, scaling, rollout/rollback, and incident response Experience building and maintaining observability tooling (Grafana dashboards, Prometheus alerting) for production systems For positions in this location, we offer a base pay of $130,000 - $145,000 , plus equity (when applicable), variable/incentive compensation and benefits. Sales positions generally offer a competitive On Target Earnings (OTE) incentive compensation structure. Please note that the base pay shown is a guideline, and individual total compensation will vary based on factors such as qualifications, skill level, competencies, and work location. We also offer health plans, including flexible spending accounts, a 401(k) Plan with company match, ESPP, matching donations, a flexible time away plan and family leave programs. Compensation is based on the geographic location in which the role is located and is subject to change based on work location. Work Personas We approach our distributed world of work with flexibility and trust. Work personas (flexible, remote, or required in office) are categories that are assigned to ServiceNow employees depending on the nature of their work and their assigned work location. Learn more here . To determine eligibility for a work persona, ServiceNow may confirm the distance between your primary residence and the closest ServiceNow office using a third-party service. Equal Opportunity Employer ServiceNow is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, national origin, age, disability, gender identity, veteran status, or any other category protected by law. In addition, all qualified applicants with arrest or conviction records will be considered for employment in accordance with legal requirements. Accommodations We strive to create an accessible and inclusive experience for all candidates. If you require a reasonable accommodation to complete any part of the application process, or are unable to use this online application and need an alternative method to apply, please contact globaltalentss@servicenow.com for assistance. Export Control Regulations For positions requiring access to controlled technology subject to export control regulations, including the U.S. Export Administration Regulations (EAR), ServiceNow may be required to obtain export control approval from government authorities for certain individuals. All employment is contingent upon ServiceNow obtaining any export license or other approval that may be required by relevant export control authorities. From Fortune. ©2026 Fortune Media IP Limited. All rights reserved. Used under license.

About the role We are hiring a staff software engineer (IC4) for the Telemetry Data Platform team, which carries product usage telemetry for the entire ServiceNow platform on a stack built with Kubernetes, Kafka, and ClickHouse. We are distributed across Israel, India, and the Americas. This is a full stack role with its center of gravity firmly on the infrastructure side — expect roughly two-thirds of your time on telemetry infrastructure, data pipelines, Kubernetes and DevOps work, and the rest on the services and product surfaces on top. You will be equally comfortable designing a distributed system and owning it in production. If you like following a system from the event that fires to the chart that renders — and you want the pager for it — you will feel at home. You will lead design and delivery of complex, multi-service features, own technical decisions within a domain, and are fully self-directed — escalating only genuine ambiguities and driving decisions to closure. Of the ten critical skills at this level, incident response management is the only one set at Expert; the rest are Experienced. What you’ll do Telemetry infrastructure and data pipelines Design, build, and own backend services for distributed data streaming and processing that handle high-volume, high-cardinality event data with predictable latency and no silent data loss. Build and maintain Kafka-based streaming pipelines and the pipeline components that feed ClickHouse. Own data modeling and query performance in ClickHouse — partitioning, sort keys, materialized views, retention, and the cost curve that comes with all of it. Partner with product and platform teams to shape requirements for telemetry ingestion and processing, then drive the solutions to production. Kubernetes, DevOps, and production ownership Deploy, scale, and operate services in production Kubernetes environments, including Helm-based deployments and CI/CD pipelines that make releases repeatable and safe to roll back. Own observability for what you build — meaningful metrics, useful logs, real tracing, and alerts that fire on customer impact rather than on noise. Debug and resolve production incidents independently, participate in on-call, run root-cause analysis, and operate against defined service level objectives. Full stack engineering and technical leadership Own the full development lifecycle for your work, and build the backend services and APIs that expose telemetry to internal consumers, product surfaces, and AI agents — including API contracts, data models, and schema migrations. Contribute to the analytics front end — dashboards, funnels, and exploration tools — with an eye on performance against large result sets, and improve the web and mobile capture SDKs. Lead the design of complex, multi-service features across team boundaries, drive decisions to closure, and write the design docs and postmortems that outlive the conversation. Raise the bar through code review, test strategy, and automation coverage, and mentor engineers on the team. Experience and education requirements The job profile defines IC4 by scope, independence, and impact rather than years served. The minimums below are the screening bar for this requisition. Requirement Mandatory minimum 8+ years of Backend software engineering experience 4+ years of Designing and operating distributed systems 3+ years Kubernetes in production, including Helm and CI/CD 3+ years Kafka or equivalent streaming and data pipelines 3+ years On-call and production ownership Bachelor’s degree in computer science, software engineering, or a closely related technical field Required A master’s degree may offset up to one year of the experience minimum. Equivalent practical experience is considered where technical depth is clearly demonstrable. Required qualifications Strong backend development experience in Java, Python, Go or equivalent, used in production at scale. Hands-on experience building distributed systems for data streaming, processing, and storage. Production experience deploying and managing services on Kubernetes, including Helm and CI/CD pipelines. Working knowledge of Kafka or an equivalent messaging and streaming system. Solid SQL skills and hands-on experience with a columnar or analytical data store, including query optimization and physical data modeling. Demonstrated depth in incident responseand customer escalations Enough front-end capability to build and debug a data-heavy interface: JavaScript or TypeScript with React or Angular. Desired qualifications Production experience with ClickHouse or another OLAP or columnar store — sharding, replication, materialized views, cost tuning. Exposure to observability tooling: OpenTelemetry, metrics and logging stacks, alerting platforms. Experience building product analytics or telemetry platforms, or with stream processing frameworks such as Flink or Spark. Client-side instrumentation — web or mobile SDK development, event capture, session and consent handling. AI skills Artificial intelligence strategy is a critical skill at Experienced proficiency for IC4 — it applies to how you build and to what you build. Confident use of AI coding assistants such as GitHub Copilot or Cursor, paired with the critical eye to review AI-generated code as rigorously as any other — catching logic errors, security anti-patterns, and missed edge cases rather than treating model output as production-ready. AI-assisted debugging and trace analysis, and a clear understanding of the data privacy rules governing what goes into a prompt. Integrating LLM APIs into production features — and knowing when a model is the wrong tool for the job. Working knowledge of RAG pipelines, embedding stores, and agent frameworks; familiarity with the Model Context Protocol is a plus. Exposing telemetry to AI agents through tool interfaces agents can use safely: predictable schemas, bounded results, clear error semantics, sane cost controls. Designing safeguards for non-deterministic components — retry logic, circuit breakers, human-in-the-loop checkpoints — and hardening against latency spikes and hallucinated output reaching a customer. Instrumenting AI features in production and judging their quality from telemetry and evaluation rather than impressions. Work Personas We approach our distributed world of work with flexibility and trust. Work personas (flexible, remote, or required in office) are categories that are assigned to ServiceNow employees depending on the nature of their work and their assigned work location. Learn more here . To determine eligibility for a work persona, ServiceNow may confirm the distance between your primary residence and the closest ServiceNow office using a third-party service. Equal Opportunity Employer ServiceNow is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, national origin, age, disability, gender identity, veteran status, or any other category protected by law. In addition, all qualified applicants with arrest or conviction records will be considered for employment in accordance with legal requirements. Accommodations We strive to create an accessible and inclusive experience for all candidates. If you require a reasonable accommodation to complete any part of the application process, or are unable to use this online application and need an alternative method to apply, please contact globaltalentss@servicenow.com for assistance. Export Control Regulations For positions requiring access to controlled technology subject to export control regulations, including the U.S. Export Administration Regulations (EAR), ServiceNow may be required to obtain export control approval from government authorities for certain individuals. All employment is contingent upon ServiceNow obtaining any export license or other approval that may be required by relevant export control authorities. From Fortune. ©2026 Fortune Media IP Limited. All rights reserved. Used under license.

About the team The Security and Risk Engineering organization builds scalable, AI-powered security solutions that reduce risk and protect ServiceNow and its customers. We value AI-first thinking, clean architecture, intuitive experiences, and a culture of continuous learning. This is a zero-to-one incubation. We’re building a new class of exposure analysis that ranks security work by exploitability—where an attacker could realistically get in—rather than raw severity. The architecture is evolving, and this role helps define what good looks like. The role As a Senior ML Engineer, you build core components of a novel exploitability engine—shipping production ML that turns raw security signal into ranked, reachable attack paths. You take well-scoped problems from design to production and grow into deeper ownership as the system matures. What you’ll own Well-scoped components of the engine—evidence ingestion and connectors, entity resolution, graph construction, or parts of the probability core—built to production quality. The correctness and reliability of what you ship: tests, evaluation, observability, and the metrics that show your component works. Turning ambiguous requirements into working code, with guidance on the calls that shape the wider system. The data and model plumbing that keeps the graph accurate—entity-resolution quality, evidence provenance, and decay. What you’ll do Design, build, test, and operate production ML components with strong engineering fundamentals. Contribute to design and code reviews, and help raise the quality bar on the team. Prototype quickly to evaluate new AI capabilities against real cybersecurity problems. Partner with product, security R&D, and SecOps to understand the problem behind the ticket. Apply AI safety, security, and guardrail practices to what you build. What you bring Solid software engineering fundamentals and experience operating production-quality software. Hands-on experience building ML- or LLM-powered applications—RAG, embeddings, agents, or probabilistic or ML-driven scoring. Experience taking a prototype to a reliable, maintainable production solution. Working knowledge of distributed systems, APIs, cloud-native development, and data or graph systems. Strong Python, and/or Java, Go, or TypeScript. Interest in security problems—vulnerability management, identity security, threat detection, or risk prioritization. Experience with AI-assisted development tools and coding agents such as Claude Code, Codex, Cursor, or Windsurf is a plus. Experience with AI evaluation, safety, or guardrails is a plus. 3+ years of software engineering experience, or equivalent practical experience. Experience designing and delivering production software systems. Experience building or integrating AI/ML-powered applications in a production or near-production environment. Modern AI experience: LLMs, RAG, embeddings, vector search, agentic workflows, model evaluation, or AI observability. Strong programming experience in Python and/or Java, Go, or a similar language. Cloud-native technologies, distributed systems, APIs, databases, and scalable architectures. Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, or a related technical discipline, or equivalent practical experience. Cybersecurity or security-product experience is a plus. For positions in this location, we offer a base pay of $143,200 - $243,400 , plus equity (when applicable), variable/incentive compensation and benefits. Sales positions generally offer a competitive On Target Earnings (OTE) incentive compensation structure. Please note that the base pay shown is a guideline, and individual total compensation will vary based on factors such as qualifications, skill level, competencies, and work location. We also offer health plans, including flexible spending accounts, a 401(k) Plan with company match, ESPP, matching donations, a flexible time away plan and family leave programs. Compensation is based on the geographic location in which the role is located and is subject to change based on work location. Work Personas We approach our distributed world of work with flexibility and trust. Work personas (flexible, remote, or required in office) are categories that are assigned to ServiceNow employees depending on the nature of their work and their assigned work location. Learn more here . To determine eligibility for a work persona, ServiceNow may confirm the distance between your primary residence and the closest ServiceNow office using a third-party service. Equal Opportunity Employer ServiceNow is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, national origin, age, disability, gender identity, veteran status, or any other category protected by law. In addition, all qualified applicants with arrest or conviction records will be considered for employment in accordance with legal requirements. Accommodations We strive to create an accessible and inclusive experience for all candidates. If you require a reasonable accommodation to complete any part of the application process, or are unable to use this online application and need an alternative method to apply, please contact globaltalentss@servicenow.com for assistance. Export Control Regulations For positions requiring access to controlled technology subject to export control regulations, including the U.S. Export Administration Regulations (EAR), ServiceNow may be required to obtain export control approval from government authorities for certain individuals. All employment is contingent upon ServiceNow obtaining any export license or other approval that may be required by relevant export control authorities. From Fortune. ©2026 Fortune Media IP Limited. All rights reserved. Used under license.

Software Engineer, Fullstack As a Fullstack Engineer on the web team, you will play a lead role in creating the next generation of the Moveworks Agentic Assistant ecosystem. The ability to leverage ML and Generative AI intelligence for the fullstack makes it innovative and fun! Join us, and you'll find yourself in a unique playground, working on web applications that directly impact every Moveworks customer. In other words, we needed you here yesterday! We're crafting an enterprise-focused GAI ecosystem. You'll shape diverse functionalities, cater to various user personas, and forge a solution that meets enterprise needs. Your role spans designing AI powered agent builder experiences and creating robust UI frameworks with scalable, reliable building blocks. What you will do: Design and implement AI powered agent builder product features using cutting-edge technical approaches to deliver business value. Expand the product's reach to more customers, domains, and global markets, ensuring high quality engineering implementation. Architect and build out Moveworks web technology stacks such as authentication, event tracking, application platform, and design systems. Promote best practices and standards to build modular and scalable web apps and APIs between backend services. Work closely with the product, ML and engineering teams to augment user experience, find creative solutions to fill in gaps in technology, and increase customer adoption. Work at a startup pace in a small company with a high degree of ownership What you bring to the table: BS or higher degree in computer science or a related field, or equivalent relevant experience 5+ years of professional development experience in building complex web applications Experience with major modern Web UI framework (e.g. ReactJS) and experience building UI at scale Strong product sense and a passion for building scalable web or conversational UI products Excellent cross-functional collaboration skills A constant thirst for learning and a willingness to get out of your comfort zone Nice to Have Experience working with AI Agent products For positions in this location, we offer a base pay of $143,200 - $243,400, plus equity (when applicable), variable/incentive compensation and benefits. Sales positions generally offer a competitive On Target Earnings (OTE) incentive compensation structure. Please note that the base pay shown is a guideline, and individual total compensation will vary based on factors such as qualifications, skill level, competencies and work location. We also offer health plans, including flexible spending accounts, a 401(k) Plan with company match, ESPP, matching donations, a flexible time away plan and family leave programs. Compensation is based on the geographic location in which the role is located and is subject to change based on work location. Work Personas We approach our distributed world of work with flexibility and trust. Work personas (flexible, remote, or required in office) are categories that are assigned to ServiceNow employees depending on the nature of their work and their assigned work location. Learn more here . To determine eligibility for a work persona, ServiceNow may confirm the distance between your primary residence and the closest ServiceNow office using a third-party service. Equal Opportunity Employer ServiceNow is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, creed, religion, sex, sexual orientation, national origin or nationality, ancestry, age, disability, gender identity or expression, marital status, veteran status, or any other category protected by law. In addition, all qualified applicants with arrest or conviction records will be considered for employment in accordance with legal requirements. Accommodations We strive to create an accessible and inclusive experience for all candidates. If you require a reasonable accommodation to complete any part of the application process, or are unable to use this online application and need an alternative method to apply, please contact globaltalentss@servicenow.com for assistance. Export Control Regulations For positions requiring access to controlled technology subject to export control regulations, including the U.S. Export Administration Regulations (EAR), ServiceNow may be required to obtain export control approval from government authorities for certain individuals. All employment is contingent upon ServiceNow obtaining any export license or other approval that may be required by relevant export control authorities. From Fortune. ©2025 Fortune Media IP Limited. All rights reserved. Used under license.

ServiceNow seeks a Staff Application Security Engineer to serve as the technical core of our bug bounty program within the Product Security Incident Response Team (PSIRT). This is the senior engineer who owns bug bounty reports from intake through resolution: reproducing and validating the vulnerability, assessing its severity, and seeing it through to a verified fix. The work is deeply technical. Reproducing a vulnerability is only the starting point. From there you read the underlying code, identify root cause, and either propose the fix or design it alongside engineering before confirming it holds. You are also the person researchers deal with directly, which makes clear, credible communication as central to the role as the technical analysis itself. As one of the most senior engineers on the team, you will set the standard for how triage is done and mentor earlier-career engineers. Beyond the bug bounty queue, you will conduct variant hunts, perform original platform security research, lead major product security incidents, and run forensic postmortems when a significant issue reaches production. Key Responsibilities Triage and Resolve Bug Bounty Reports Own incoming reports end-to-end: intake, reproduction, severity scoring, root cause analysis, fix verification, and final disposition. Reproduce and validate reported vulnerabilities, building out incomplete proof-of-concept code where needed. Serve as the technical escalation point for the most complex and highest-severity reports, including multi-step exploit chains and cross-system issues. Perform code review and root cause analysis to identify the underlying defect rather than the reported symptom. Propose remediations, or design them with engineering, and verify the fix resolves the issue. Assign and defend severity ratings using the program's severity framework. Route issues to owning teams, file and track defects, and keep vulnerability records accurate through closure. Own Researcher and Stakeholder Communication Act as ServiceNow's primary technical point of contact for bug bounty researchers across the full lifecycle of a report. Handle severity and validity disputes directly, keeping every exchange clear, timely, respectful, and technically credible. Translate technical findings for internal stakeholders and keep engineering and leadership current on status and risk. Mentor the Team and Raise Triage Standards Provide technical mentorship to earlier-career PSIRT engineers, developing depth in reproduction, code analysis, severity judgment, and communication. Set and maintain the bar for triage quality and strengthen program practices over time. Lead Advanced Security Work Beyond Triage Conduct variant hunts to find related instances of reported vulnerabilities before they are discovered externally. Perform original platform security research to surface issues ahead of external researchers. Lead major product security incidents on the PSIRT side, coordinating response across teams under pressure. Run forensic postmortems after significant incidents to determine how the issue reached production, including how design-level flaws bypassed release processes, and confirm that remediations hold. To be successful in this role, you have: 8+ years of hands-on experience in product security, application security, penetration testing, or vulnerability research. Depth of expertise matters more than years. Expertise in: Common web and application vulnerability classes and exploitation techniques. Vulnerability reproduction, severity assessment, and defensible risk scoring under ambiguity. Coordinated vulnerability disclosure. Code and development fluency: Strong code comprehension in Java, JavaScript, and Python, with the ability to trace root cause in large, unfamiliar codebases and review pull requests. Ability to write code and propose concrete fixes. This is not an application-building role, but you reason fluently in code. Working knowledge of Git, Gradle, Maven, CI/CD pipelines, and secure SDLC. Proficiency with Claude Code or equivalent AI coding assistant for code comprehension and security research. Exceptional written communication. You will represent ServiceNow directly to external researchers, frequently in disagreement, and bridge those researchers and internal engineering. This is a core requirement of the role, not a supporting skill. Work Personas We approach our distributed world of work with flexibility and trust. Work personas (flexible, remote, or required in office) are categories that are assigned to ServiceNow employees depending on the nature of their work and their assigned work location. Learn more here . To determine eligibility for a work persona, ServiceNow may confirm the distance between your primary residence and the closest ServiceNow office using a third-party service. Equal Opportunity Employer ServiceNow is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, national origin, age, disability, gender identity, veteran status, or any other category protected by law. In addition, all qualified applicants with arrest or conviction records will be considered for employment in accordance with legal requirements. Accommodations We strive to create an accessible and inclusive experience for all candidates. If you require a reasonable accommodation to complete any part of the application process, or are unable to use this online application and need an alternative method to apply, please contact globaltalentss@servicenow.com for assistance. Export Control Regulations For positions requiring access to controlled technology subject to export control regulations, including the U.S. Export Administration Regulations (EAR), ServiceNow may be required to obtain export control approval from government authorities for certain individuals. All employment is contingent upon ServiceNow obtaining any export license or other approval that may be required by relevant export control authorities. From Fortune. ©2026 Fortune Media IP Limited. All rights reserved. Used under license.

Role summary The Staff Software Engineer (IC4) on Sales and Order Management designs, builds, ships, and operates capabilities whose core behavior is model-driven rather than explicitly authored—agentic and conversational experiences that interpret a seller's or customer's intent, reason over catalog, quote, and order context, invoke tools, and act on the user's behalf across the quote-to-order lifecycle. This is not a machine learning or AI research role; the engineer does not train foundation models. It is also distinct from traditional full-stack engineering, where systems follow deterministic logic rather than selecting execution paths at runtime. Two consequences shape the work. First, the most important logic often lives in natural language—instructions, prompts, tool descriptions, guardrails, escalation rules—which must be engineered, versioned, and reviewed with the same discipline as code. Second, because behavior is probabilistic, correctness is established by measuring behavior at scale rather than by asserting fixed outputs, making automated evaluation a first-class engineering activity rather than a quality-assurance afterthought. The stakes in this domain sharpen both points. An agent operating on quotes and orders touches pricing integrity, contractual commitment, and revenue recognition—a confidently wrong output is not a bad answer, it is a mispriced order. At IC4 the engineer owns AI design decisions across the domain, not within a single feature, and owns the correctness of what ships whether a person or an agent produced it. What you do Build AI-native capability across the order lifecycle Design and ship features built around agentic behavior—intent interpretation, multi-step reasoning, tool invocation, and action on the user's behalf—together with the data models, integrations, and channels that make them usable in production. In Order Management this spans guided offer selection and configuration, natural-language order construction and validation, conversational order status and in-flight change, order-exception triage and resolution, and promise-date and availability inquiry. Design AI-driven autonomous workflows Decompose sales and order processes into the steps and decision points an agent can execute—determining where autonomy is appropriate, where a checkpoint with a person is required, and how exceptions, retries, and hand-back are handled. The design must make that distinction structural rather than advisory. Author and maintain agentic instructions as engineering artifacts Write, structure, and version the system instructions, role definitions, tool descriptions, guardrails, and escalation paths that govern agent behavior in the domain—under code review, source control, and regression coverage. Own the shared instruction and tool-description surface that adjacent teams build against. Build automated evaluation and test non-deterministic behavior Design and operate the evaluation that makes change safe — golden datasets, multi-turn conversation suites, model-as-judge scoring calibrated to human review, CI gates, and drift detection — plus adversarial, jailbreak, grounding, and tool-selection testing. Design conversational experiences across channels Build experiences that hold context across turns, hand off cleanly between automated and live agents, and behave consistently across chat and voice—accounting for what voice imposes: latency budgets, barge-in, speech recognition error, disambiguation, and explicit confirmation before consequential actions. Specify precisely and direct AI coding agents Convert requirements into testable specifications with explicit scope, constraints, non-goals, and acceptance criteria; decompose work into agent-sized tasks; supervise several workstreams in parallel; and review agent output for correctness, spec adherence, security, and maintainability. You own the result regardless of what produced it. Own quality, safety, and reliability in production Monitor conversation quality, containment, hallucination rate, tool-selection error, and unsafe or unauthorized action. Defend against prompt injection and data leakage across integration surfaces. Maintain reasoning-trace observability and model rollback mechanisms, and feed production failures back into specifications and evaluation sets. Lead root-cause analysis when agentic behavior deviates from intent. Ground it in solid full-stack delivery Build the application, APIs, data models, and integrations around these capabilities—front-end experiences for sellers and order agents, server-side logic, and the connections to quoting, billing, contract, case, and fulfillment systems—with the CI/CD, observability, and upgrade-safe extensibility expected of production software. Collaborate across product, design, and engineering Partner with product managers, designers, conversation designers, and engineers to define success criteria and communicate capability and risk clearly. Mentor IC1 to IC3 engineers, and raise the team's practices around instruction authoring, evaluation, and accountable agent use. Required experience and skills Production track record. A demonstrated record of building, shipping, and operating production software, including hands-on delivery of AI-native application features that real users depend on rather than demos or prototypes. Depth and demonstrated judgment matter more than tenure; typically around 8+ years of relevant software engineering experience. Agentic delivery experience. Direct experience authoring agentic instructions and prompts, designing AI-driven autonomous workflows, and building the evaluation and testing that verifies them. This is required, not preferred. Production AI integration. Experience integrating large language model APIs and retrieval-grounded features, including agent orchestration, tool and function calling, and structured output enforcement. Domain ownership. Demonstrated ownership of a complex domain or subsystem end-to-end, including the architectural decisions, migrations, and operational consequences. Engineering fundamentals. Strong command of data structures, algorithms, system design, APIs, data modeling, and testing. Proficiency in front-end development with a modern component framework, server-side development, relational data modeling, and REST and GraphQL API design. Applied machine learning literacy. A working command of the concepts that govern how these systems behave—evaluation, embeddings, and the probabilistic output and failure modes of modern models—sufficient to reason about, debug, and verify model-driven behavior in production. Accountable use of AI coding agents . Current, effective use of AI coding assistants and agents with evidence of accountable delivery: precise specification, critical review of generated output, and verification harnesses. Operational experience. Hands-on CI/CD, containerized workloads, and observability experience, plus direct on-call and incident-command experience with customer-facing systems. Mentorship. Demonstrated mentorship of less-experienced engineers and a record of raising quality through code review. Education . Bachelor's degree in computer science, software engineering, or a related technical field, or equivalent practical experience. Advanced degrees are a plus but not a substitute for a record of shipping reliable AI-native applications. Preferred experience Order and quoting domain depth. Quote-to-cash, configure-price-quote, product catalog modeling, or order management, at a depth sufficient to challenge a requirement rather than only implement it. Evaluation and observability tooling. Evaluation frameworks, prompt and instruction management tooling, tracing for model-driven applications, and analysis of production transcripts at scale. Conversation design partnership. Working alongside conversation or content designers on dialogue flow, tone, and error-recovery design. Forward deployed delivery. Building against a customer's data, integrations, and channels, and tuning instructions and evaluation sets in their environment. Platform and standards depth. Industry order-management interoperability models, or Now Platform development experience: scoped applications, Flow Designer, UI Builder, Automated Test Framework, and upgrade-safe extension patterns. Work Personas We approach our distributed world of work with flexibility and trust. Work personas (flexible, remote, or required in office) are categories that are assigned to ServiceNow employees depending on the nature of their work and their assigned work location. Learn more here . To determine eligibility for a work persona, ServiceNow may confirm the distance between your primary residence and the closest ServiceNow office using a third-party service. Equal Opportunity Employer ServiceNow is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, national origin, age, disability, gender identity, veteran status, or any other category protected by law. In addition, all qualified applicants with arrest or conviction records will be considered for employment in accordance with legal requirements. Accommodations We strive to create an accessible and inclusive experience for all candidates. If you require a reasonable accommodation to complete any part of the application process, or are unable to use this online application and need an alternative method to apply, please contact globaltalentss@servicenow.com for assistance. Export Control Regulations For positions requiring access to controlled technology subject to export control regulations, including the U.S. Export Administration Regulations (EAR), ServiceNow may be required to obtain export control approval from government authorities for certain individuals. All employment is contingent upon ServiceNow obtaining any export license or other approval that may be required by relevant export control authorities. From Fortune. ©2026 Fortune Media IP Limited. All rights reserved. Used under license.

Team Overview Platform Security Core builds foundational security infrastructure and AI-driven detection systems for enterprise-scale operations. Our mission is to make security proactive, intelligent, and seamlessly integrated into the ServiceNow platform. We are looking for a hands-on Senior Staff Engineer (Technical Leader) with deep expertise in machine learning systems, inference engines, and security architecture to lead next-generation AI security initiatives. Role Summary As a Senior Staff AI Security Engineer, you will architect and deliver enterprise-scale AI security solutions that integrate machine learning, reasoning engines, and real-time inference into core security systems. You will bring strong technical leadership, hands-on machine learning depth, and the ability to design and operate intelligent security systems that learn and adapt. What You Get to Do in This Role Design and implement ML-driven security systems: Build machine learning algorithms for identity risk assessment, anomalous access detection, malware classification, and sensitive data discovery, applying agent guardrails, correlation from telemetry to detect misuse or malicious intent. Build inference engines and reasoning systems: Architect high-performance inference pipelines and contextual reasoning systems that apply models in real-time across distributed security decisions. Integrate AI into access control and identity: Apply machine learning to access control decisions—contextual analysis, adaptive authentication, behavioral biometrics, and identity confidence scoring. Develop attack detection and threat classification: Build ML models for malware detection, anomaly detection, and threat pattern recognition with focus on false-positive reduction, operational efficiency, precision and recall scores. Implement sensitive data detection and classification: Design AI systems for PII detection, data classification, and sensitive information governance at scale. Lead complex technical initiatives: Provide technical leadership for multi-quarter efforts that combine ML research, systems engineering, and security domain expertise. Architect modular, reusable ML systems: Build ML platforms, feature engineering frameworks, and model management infrastructure that teams can adopt and extend. Operate production AI systems: Design for observability, model performance monitoring, retraining workflows, and safe model deployment in security-critical environments. Collaborate across security and infrastructure: Work with teams across identity, access control, threat detection, and infrastructure to integrate AI solutions end-to-end. Research and evaluate emerging AI techniques: Stay current with advances in AI/ML—transformer models, reasoning engines, retrieval-augmented generation—and evaluate their applicability to security problems. To be successful in this role you have: Core Experience Bachelor's degree with 10+ years of software development experience; OR Master's degree with 8+ years; OR PhD with 6+ years; OR equivalent work experience. Hands-on experience implementing machine learning algorithms from scratch—not just using libraries, but understanding how models work at a fundamental level. Deep programming expertise in Java and/or Python, including systems-level knowledge and performance optimization. Proven track record building and deploying machine learning systems in production environments at significant scale. Strong fundamentals in computer science: algorithms, data structures, complexity analysis, system design, and distributed systems. AI/ML Systems Expertise Deep understanding of machine learning fundamentals: supervised learning, unsupervised learning, model evaluation, feature engineering, and model selection. Hands-on experience with neural networks, deep learning frameworks (TensorFlow, PyTorch), and modern model architectures. Experience training, tuning, and deploying models: hyperparameter optimization, regularization, preventing overfitting, and achieving production-grade model quality. Understanding of model inference: latency optimization, quantization, model serving infrastructure, and real-time prediction pipelines. Experience with LLMs and large-scale foundation models: fine-tuning, retrieval-augmented generation (RAG), prompt engineering at scale, and understanding of model weights and token economies. Knowledge of reasoning and agentic systems: how to apply contextual analysis, multi-step reasoning, and decision logic on top of models. Experience with feature engineering, feature stores, and ML data pipelines at scale. Familiarity with model observability and monitoring: detecting model drift, performance degradation, and retraining strategies. Security Architecture Expertise Deep knowledge of identity and access control systems: how authentication, authorization, and access decisions flow through enterprise systems. Experience applying machine learning to security problems: anomaly detection, attack classification, risk scoring, and threat pattern recognition. Understanding of sensitive data landscapes: PII detection, data classification frameworks, and data governance strategies. Familiarity with security operations: how detection systems, alert triage, and incident response workflows operate at scale. Knowledge of common attack patterns and threat models relevant to enterprise security. Experience integrating security solutions with platform infrastructure: API design, event streaming, and decision-making in critical paths. Nice to Have Experience with Kafka, stream processing, or real-time data systems for security applications. Hands-on work with cryptography, zero-trust architectures, or OAuth/mTLS. Experience deploying models in regulated environments with compliance and governance requirements. Track record mentoring junior engineers and driving technical excellence across teams. Open-source contributions to ML or security projects. For positions in this location, we offer a base pay of $190,900 - $334,100 , plus equity (when applicable), variable/incentive compensation and benefits. Sales positions generally offer a competitive On Target Earnings (OTE) incentive compensation structure. Please note that the base pay shown is a guideline, and individual total compensation will vary based on factors such as qualifications, skill level, competencies, and work location. We also offer health plans, including flexible spending accounts, a 401(k) Plan with company match, ESPP, matching donations, a flexible time away plan and family leave programs. Compensation is based on the geographic location in which the role is located and is subject to change based on work location. Work Personas We approach our distributed world of work with flexibility and trust. Work personas (flexible, remote, or required in office) are categories that are assigned to ServiceNow employees depending on the nature of their work and their assigned work location. Learn more here . To determine eligibility for a work persona, ServiceNow may confirm the distance between your primary residence and the closest ServiceNow office using a third-party service. Equal Opportunity Employer ServiceNow is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, national origin, age, disability, gender identity, veteran status, or any other category protected by law. In addition, all qualified applicants with arrest or conviction records will be considered for employment in accordance with legal requirements. Accommodations We strive to create an accessible and inclusive experience for all candidates. If you require a reasonable accommodation to complete any part of the application process, or are unable to use this online application and need an alternative method to apply, please contact globaltalentss@servicenow.com for assistance. Export Control Regulations For positions requiring access to controlled technology subject to export control regulations, including the U.S. Export Administration Regulations (EAR), ServiceNow may be required to obtain export control approval from government authorities for certain individuals. All employment is contingent upon ServiceNow obtaining any export license or other approval that may be required by relevant export control authorities. From Fortune. ©2026 Fortune Media IP Limited. All rights reserved. Used under license.

Due to Federal requirements, only US citizens, US naturalized citizens or US Permanent Residents, holding a green card, will be considered. PLEASE DO NOT APPLY IF YOU DON'T MEET THIS FEDERAL REQUIRMENT The ServiceNow Security Organization (SSO) The ServiceNow Security Organization (SSO) delivers world-class, innovative security solutions to reduce risk and protect the company and our customers. We enable our customers to migrate their most sensitive data and workloads to the cloud, accelerating our business so that we are the most trusted SaaS provider. We create an environment where our employees are proud to work and can make a positive impact About the role Our security teams pull data from a lot of separate systems. Asset inventory, identity governance, detection tooling, and threat intel all live in different places, so answering a basic question like which systems an attacker could reach from a compromised account can take a security analyst most of a day. We're building a platform that connects those systems behind a shared API and knowledge layer so those questions can be answered in seconds. We are not replacing the source systems or copying their data. You would be a senior individual contributor on a small team, responsible for whole areas of the platform: designing the API contracts, building the services behind them, getting them into production, and working with partner teams to actually adopt them. This is a hands-on role. You will write code, define interfaces other teams build against, and work directly with stakeholders in detection engineering, red team, blue team, and identity and asset management. What you'll do Design and build the platform's core APIs, covering context retrieval, risk scoring, entity resolution, data contracts, and coverage queries. Build and run asynchronous data pipelines on a message bus with a governed schema registry. Integrate security data sources including SIEM, identity governance, asset inventory, and our knowledge graph. Own platform workstreams from scoping through delivery, including the cross-team coordination that takes. Write design proposals and review other people's, as part of the platform's RFC process. Review code, mentor engineers on partner teams who contribute to the platform, and keep the technical documentation usable. Required qualifications Experience in leveraging or critically thinking about how to integrate AI into work processes, decision-making, or problem-solving. This may include using AI-powered tools, automating workflows, analyzing AI-driven insights, or exploring AI’s potential impact on the function or industry. 12+ years of professional software engineering experience, including systems you have operated in production and not just shipped. OR SIMILAR EXPERIENCE WITH EDUCATION Expert-level Python: data processing at scale, API development, and real testing discipline in a production codebase. Deep hands-on Splunk experience. SPL, data onboarding and normalization, search performance tuning, and working with the Splunk APIs. Software architecture ownership on distributed or data-intensive systems. You have defined service and API boundaries, documented the tradeoffs, and revised a design when the requirements moved. A real cybersecurity background: security operations, detection engineering, threat detection, incident response, or security data engineering. You should know how security telemetry gets produced and consumed, and be comfortable with frameworks like MITRE ATT&CK. Project ownership at a senior IC level. You have taken an initiative from a vague problem statement to a delivered result, worked across team boundaries to do it, and kept engineering leadership informed without needing to be managed through it. Beneficial qualifications Data science experience: statistical analysis, feature engineering, anomaly detection, or building and evaluating models against noisy operational data. Applied AI or ML experience, particularly LLM-based systems, retrieval-augmented generation, knowledge graphs, or agentic workflows, along with some interest in the security side of enterprise AI adoption. Experience with identity governance or asset inventory platforms. Experience defining data contracts or governance models for internal platform consumers. First year By the end of your first year you own one or more of the platform's core APIs, partner teams are building against contracts you wrote, and you are one of the people whose opinion carries weight in architecture and design discussions for the program. #SecurityJobs For positions in this location, we offer a base pay of $190,900 - $334,100 , plus equity (when applicable), variable/incentive compensation and benefits. Sales positions generally offer a competitive On Target Earnings (OTE) incentive compensation structure. Please note that the base pay shown is a guideline, and individual total compensation will vary based on factors such as qualifications, skill level, competencies, and work location. We also offer health plans, including flexible spending accounts, a 401(k) Plan with company match, ESPP, matching donations, a flexible time away plan and family leave programs. Compensation is based on the geographic location in which the role is located and is subject to change based on work location. Work Personas We approach our distributed world of work with flexibility and trust. Work personas (flexible, remote, or required in office) are categories that are assigned to ServiceNow employees depending on the nature of their work and their assigned work location. Learn more here . To determine eligibility for a work persona, ServiceNow may confirm the distance between your primary residence and the closest ServiceNow office using a third-party service. Equal Opportunity Employer ServiceNow is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, national origin, age, disability, gender identity, veteran status, or any other category protected by law. In addition, all qualified applicants with arrest or conviction records will be considered for employment in accordance with legal requirements. Accommodations We strive to create an accessible and inclusive experience for all candidates. If you require a reasonable accommodation to complete any part of the application process, or are unable to use this online application and need an alternative method to apply, please contact globaltalentss@servicenow.com for assistance. Export Control Regulations For positions requiring access to controlled technology subject to export control regulations, including the U.S. Export Administration Regulations (EAR), ServiceNow may be required to obtain export control approval from government authorities for certain individuals. All employment is contingent upon ServiceNow obtaining any export license or other approval that may be required by relevant export control authorities. From Fortune. ©2026 Fortune Media IP Limited. All rights reserved. Used under license.