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What you get to do in this role: Produce high quality design and code on aggressive deadlines for security features and frameworks, leveraging AI where appropriate without compromising quality or security Provide guidelines and mentorship to application teams on how to implement and design security features and frameworks, and on the appropriate use of AI to achieve those goals Design & implement comprehensive AI-native security features and frameworks by understanding customer problems, product goals and technical requirements Collaborate with design and platform teams to deliver robust security features and frameworks Participate in all technical aspects of team deliverables, including quality, performance, maintainability, and scalability Communicate technical decisions (architecture and design) to business and engineering To be successful in this role you have: Experience in leveraging or critically thinking about how to integrate AI into work processes, decision-making, and 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. Passion for software development, problem solving, coaching and mentoring other software engineers High energy and an aptitude for learning new technologies 10+ years of experience in designing & implementing security features and frameworks Experience building security features specifically for AI Exceptional Java and JavaScript skills Deep knowledge and experience with leveraging and influencing industry standards for security, building security frameworks and driving their adoption, and implementing security features Exceptional problem-solving skills Self-starter with a quick learning curve Strong written and verbal communication For positions in this location, we offer a base pay of $221,200 - $387,100 , 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.

About the Team We are looking for an experienced Principal Software Engineer to own the end-to-end architecture of the platform that manages how our customers are licensed, metered, and billed for their subscriptions. This platform is the system of record for customer entitlements, usage measurement, overage calculation, and invoicing across the customer lifecycle — spanning finance, sales, engineering, and customer-facing experience. At our scale, this is fundamentally a distributed systems problem: metering usage in real time across an evolving catalog of consumption-based and subscription pricing models, with strict requirements for accuracy, auditability, and low-latency processing. You will be the technical anchor ensuring these systems, owned across many interconnected teams, work coherently as one platform. What you get to do in this role: Define and drive the technical vision and end-to-end architecture for the entitlement, usage metering, overage, and billing platform Define and maintain the data model and integration contracts across finance, sales/CRM, engineering, and customer-facing portals — and resolve cross-system risks such as data consistency, latency, and ownership gaps before they surface as production or billing issues Design for correctness under business-calendar constraints — billing cycles, dispute SLAs, and reconciliation windows Own production reliability for the platform — participate in on-call, guide root-cause analysis, and resolve systemic issues rather than applying one-off patches Shape billing and metering strategy for AI-driven products — including token-based consumption, agentic workflows, and MCP-based agent actions Guide teams through complex technical decisions and design reviews, establishing architecture standards for changes that touch the shared platform, and mentor senior/staff engineers on system design and cross-team tradeoffs Partner with Product, Finance, Sales Operations, and Engineering leadership to align platform roadmap with business needs To be successful in this role you have: 12+ years of engineering experience (or equivalent depth), with significant time in distributed systems architecture Solid backend development experience in Java, Python, Go or equivalent, used in production at scale. Domain expertise in billing, licensing, or metering systems, with working knowledge of how these translate across finance, sales, and engineering Excellent fundamentals in distributed systems — consistency, fault tolerance, idempotency, exactly-once processing, and stream/batch data pipelines, including high-volume telemetry and event ingestion Solid fundamentals in databases and data modelling — schema design, performance tuning, and trade-offs across OLTP/OLAP stores Working knowledge of Kubernetes and container orchestration — deployment topologies, scaling and resource management, and operating stateful services in production Proven experience architecting systems that span multiple teams/orgs with independent ownership boundaries Proven experience architecting systems that span multiple teams/orgs with clearly defined ownership boundaries Excellent hands-on engineering ability — comfortable prototyping, validating architectural decisions through code, and contributing directly on critical-path components Ability to operate as a Principal IC by leading through technical credibility, collaboration, and influence rather than formal authority Nice to Have Experience with enterprise SaaS licensing or subscription-management platforms Experience with usage-based billing integrations Experience designing or evolving pricing/metering models for AI, agentic, or MCP-based products Familiarity with M&A technical integration — bringing acquired products' usage/billing data into an existing platform For positions in this location, we offer a base pay of $221,200 - $387,100 , 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.

About the Team ServiceNow's Application Lifecycle Engineering organization builds the platforms and tools that enable customers and developers to create, validate, deploy, and maintain applications at enterprise scale. The team owns critical developer platform capabilities that improve developer productivity, application quality, and software delivery efficiency across the ServiceNow ecosystem. Our products support automated testing, application lifecycle management, CI/CD integration, developer tooling, and emerging AI-powered capabilities that help customers build software faster and more confidently. As we continue investing in AI-native development experiences, we're focused on reimagining how developers build, test, validate, and operate applications through intelligent automation, agentic systems, and modern platform engineering practices. What You'll Do As a Principal Software Engineer, you'll help define the technical strategy and architecture for the next generation of developer platforms and AI-powered engineering productivity solutions. Lead architecture and technical direction across developer tooling, automated testing, and application lifecycle management platforms. Design and build highly scalable platform services that improve developer productivity and software quality for enterprise customers. Create prototypes, proof-of-concepts, and reference architectures to validate new technical approaches before broader adoption. Drive innovation around AI-enabled developer experiences, intelligent automation, agentic workflows, and software delivery acceleration. Partner closely with Product Management, Design, and Engineering leaders to translate strategic vision into technical execution. Evaluate emerging technologies and identify opportunities to enhance platform capabilities, developer experience, and customer outcomes. Influence architectural decisions across multiple engineering teams and help establish engineering standards and best practices. Solve complex challenges related to scalability, reliability, observability, security, and performance across customer-facing platforms. Mentor senior engineers and provide technical leadership through influence, collaboration, and technical excellence. Contribute to long-term platform evolution while balancing customer impact and execution velocity. Required 15+ years of software engineering experience or equivalent practical experience. Deep expertise building large-scale distributed systems, developer platforms, cloud-native applications, or enterprise SaaS products. Strong experience designing customer-facing platform capabilities, developer tools, or engineering productivity solutions. Expert-level understanding of system architecture, scalability, reliability, observability, fault tolerance, and production operations. Strong software development background with Java and modern distributed system design. Proven ability to drive technical strategy and influence architecture across multiple teams and organizations. Experience leading complex technical initiatives through collaboration rather than formal authority. Strong communication skills and ability to work effectively across Engineering, Product Management, and Design organizations. Track record of mentoring senior engineers and raising engineering standards across an organization. Preferred Experience building developer tools, testing platforms, CI/CD systems, developer experience (DevEx) solutions, or application lifecycle management products. Experience with automated testing frameworks, testability platforms, or software quality engineering at scale. Experience developing AI-powered products, AI-assisted developer workflows, agentic systems, or intelligent automation capabilities. Knowledge of software development lifecycle tooling, deployment automation, and platform engineering practices. Experience building products used by software developers, administrators, or highly technical enterprise customers. Familiarity with developer productivity metrics, platform adoption strategies, and customer-centric platform development. For positions in this location, we offer a base pay of $221,200 - $387,100 , 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.

As an AI-driven cybersecurity company, Machine Learning and Generative AI power the core capabilities that make Armis an industry leader. Our algorithms are the engine behind our advanced Vulnerability Management, Detection, and Remediation (VMDR) platform. We are looking for a Staff AI Engineer with strong Machine Learning foundations and practical enterprise experience to join the VMDR team. In this role, you will act as a technical builder owning complex problem domains end-to-end, diving deep into cybersecurity nuances, and architecting cutting-edge LLM and ML solutions from initial research all the way to scalable production deployment. What You’ll Do End-to-End Ownership: Drive complex AI and ML initiatives through the full product lifecycle from early-stage prototyping and deep domain analysis to production-grade deployment and monitoring. Architect & Deploy: Design and build production-ready AI models and system pipelines in Python using modern cloud and big data infrastructure (AWS, Spark). LLM Innovation: Integrate state-of-the-art Generative AI and LLM workflows directly into our core VMDR features to drive automated detection, prioritization, and remediation insights. Domain Deep-Dives: Partner closely with domain researchers, data engineers, and product leaders to dive into granular cybersecurity data and translate complex security problems into high-impact AI solutions. Cybersecurity Background: Domain experience in cybersecurity (specifically Vulnerability Management, Asset Intelligence, or Threat Detection) is a big advantage, but not mandatory. LLM Expertise: At least 2 years of hands-on experience working with Large Language Models (LLMs), including prompt engineering, fine-tuning, RAG, agentic workflows, and orchestration frameworks (e.g., LangChain, LlamaIndex, vLLM, or similar). Solid ML Foundations: Deep algorithmic and theoretical knowledge in Machine Learning, supported by an Academic Degree (M.Sc. or Ph.D. preferred) or equivalent research experience. Production Engineering Skills: 5+ years of software development experience, with strong, production-grade Python coding abilities and experience deploying ML systems at scale. Self-Driven & Collaborative: An autodidact who naturally takes full ownership of problem domains, stays ahead of emerging AI trends, and thrives in a high-trust, collaborative team environment. 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.

Build high-quality, clean, scalable and reusable code leveraging Devx practices and AI tools, and enforcing best practices around software engineering architecture and processes (Code Reviews, Unit testing, etc.) Work with the product owners to understand detailed requirements and own your code from design, implementation, test automation and delivery of high-quality product to our users. Design software that is simple to use to allow customers to extend and customize the functionality to meet their specific needs Help design and implement new products and features while also enhancing the existing product suite To be successful in this role, you will 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, evaluating Experience utilizing AI-derived insights, or exploring AI’s potential impact on the function or industry. 0-2+ years of experience with Java or a similar OO language Passion for JavaScript, Lit.js and the Web as a platform, reusability, and componentization Experience with data structures, algorithms, object-oriented design, design patterns, and performance/scale considerations Quantitative and design skills Working knowledge and ability to use tools to assist with daily tasks (IDE, debugger, build tools, source control, ServiceNow instances, profilers, system administration/Unix tools) 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 Staff ML Engineer, you own a major subsystem of a novel exploitability engine end to end—for example the probability core, the exposure graph and entity-resolution layer, or the calibration and validation loop. You make the design calls within your area and drive them to production. What you’ll own A major subsystem end-to-end—the probability core, the exposure graph and entity resolution, or the calibration and validation loop—including its design, delivery, and quality. The design decisions within your subsystem, and how it interfaces with the rest of the engine. The metrics that prove your subsystem works—entity-resolution accuracy, calibration quality, or path-ranking precision—owned as first-class targets. Technical direction for the engineers working in your area. What you’ll do Take a major, ambiguous subsystem from design through production at scale. Drive design and code reviews in your area, and raise the engineering bar around you. Mentor engineers and lead a workstream through influence. Partner with product, security R&D, and SecOps to turn customer problems into subsystem design. Establish AI safety, security, and guardrails for the agentic parts of your subsystem. What you bring A track record of owning a significant system or subsystem end-to-end in production. Hands-on depth in agentic and LLM systems and/or probabilistic or ML-driven scoring—graph modeling, calibration, search and optimization. Proven delivery of an ambiguous problem to a reliable production system that others depend on. The judgment to make sound design decisions under uncertainty within your area. Command of distributed systems, APIs, cloud-native development, and data or graph systems. Expert-level Python, and/or Java, Go, or TypeScript. Technical leadership that moves a workstream through influence. Applied interest in security problems—attack-path analysis, vulnerability management, identity security, threat intelligence, or detection and response—is preferred. 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, governance, or policy guardrails is a plus. 6+ years of software engineering experience, including leading the design and delivery of complex production components. Demonstrated experience as the technical owner or lead for a significant system or subsystem. Depth building AI/ML-powered production systems; probabilistic modeling, graph analytics, or calibration and evaluation is a strong plus. 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, or familiarity with modern security architectures and operations, is strongly preferred. For positions in this location, we offer a base pay of $176,100 - $308,200 , 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 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 Staff Engineer, you own the architecture of an security harness with novel exploitability engine end to end, and you’re accountable for the decisions that shape everything downstream. You set technical direction, make the hard calls defensible, and multiply the engineers around you. What you’ll own The end-to-end architecture of the exploitability engine—from evidence ingestion and entity resolution, through the attack-path probability core and choke-point ranking, to the validation loop that keeps predictions honest. The decisions that cascade through the system: calibrated probability versus ordinal rank, identity as a first-class graph edge, assume-breach seeding, and how the most critical assets are defined. These are model-shaping calls, not implementation details. The probabilistic ranking core: edge-traversal probability, guided path search with hop and likelihood limits, correlated-control-failure modeling, and honest uncertainty bands. The calibration and validation loop—canaries, purple-team and incident replay, calibration measured by zone and vector—that turns modeled weights into evidence rather than opinion. Make-or-break metrics as first-class engineering targets, starting with entity-resolution accuracy and calibration quality. The build-on strategy—extending the existing portfolio rather than rebuilding it, and knowing precisely what to reuse and what must be net-new. What you’ll do Lead zero-to-one work at production scale: turn an ambiguous, novel problem into a reliable system other teams build on, and set the bar where no precedent exists. Drive technical direction across architecture, design, and code reviews, and raise the engineering bar across the incubation. Mentor senior engineers and lead by influence, not title. Partner with product, security R&D, SecOps to turn customer problems into architecture, and translate that architecture into decisions leaders can act on. Establish AI safety, security, governance, and guardrails for agentic systems running in production. What you bring A track record of owning architecture across a large system or multiple teams, with deep experience operating production-quality software. Hands-on depth in both agentic and LLM systems and probabilistic or ML-driven scoring—graph modeling, calibration, search and optimization, or risk and probability engineering. Proven zero-to-one at scale: you’ve taken an ambiguous problem to a reliable production system that others depend on. The judgment to make consequential architecture decisions under uncertainty, and make them defensible to engineers and executives alike. Command of distributed systems, APIs, cloud-native development, and data or graph systems. Expert-level Python, and/or Java, Go, or TypeScript. Technical leadership and mentorship that moves teams through influence. Applied interest in security problems—attack-path analysis, vulnerability management, identity security, threat intelligence, or detection and response—is strongly preferred. 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, governance, or policy guardrails is a plus. 10+ years of software engineering experience, including leading the design and delivery of complex production systems. Demonstrated experience as the technical owner or lead for a major system or across teams. Depth building AI/ML-powered production systems; probabilistic modeling, graph analytics, or calibration and evaluation is a strong plus. Modern AI experience: LLMs, RAG, embeddings, vector search, agentic harness and 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, or familiarity with modern security architectures and operations, is strongly preferred. For positions in this location, we offer a base pay of $201,300 - $352,300 , 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 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 Staff Engineer, you own the architecture of an security harness with novel exploitability engine end to end, and you’re accountable for the decisions that shape everything downstream. You set technical direction, make the hard calls defensible, and multiply the engineers around you. What you’ll own The end-to-end architecture of the exploitability engine—from evidence ingestion and entity resolution, through the attack-path probability core and choke-point ranking, to the validation loop that keeps predictions honest. The decisions that cascade through the system: calibrated probability versus ordinal rank, identity as a first-class graph edge, assume-breach seeding, and how the most critical assets are defined. These are model-shaping calls, not implementation details. The probabilistic ranking core: edge-traversal probability, guided path search with hop and likelihood limits, correlated-control-failure modeling, and honest uncertainty bands. The calibration and validation loop—canaries, purple-team and incident replay, calibration measured by zone and vector—that turns modeled weights into evidence rather than opinion. Make-or-break metrics as first-class engineering targets, starting with entity-resolution accuracy and calibration quality. The build-on strategy—extending the existing portfolio rather than rebuilding it, and knowing precisely what to reuse and what must be net-new. What you’ll do Lead zero-to-one work at production scale: turn an ambiguous, novel problem into a reliable system other teams build on, and set the bar where no precedent exists. Drive technical direction across architecture, design, and code reviews, and raise the engineering bar across the incubation. Mentor senior engineers and lead by influence, not title. Partner with product, security R&D, SecOps to turn customer problems into architecture, and translate that architecture into decisions leaders can act on. Establish AI safety, security, governance, and guardrails for agentic systems running in production. What you bring A track record of owning architecture across a large system or multiple teams, with deep experience operating production-quality software. Hands-on depth in both agentic and LLM systems and probabilistic or ML-driven scoring—graph modeling, calibration, search and optimization, or risk and probability engineering. Proven zero-to-one at scale: you’ve taken an ambiguous problem to a reliable production system that others depend on. The judgment to make consequential architecture decisions under uncertainty, and make them defensible to engineers and executives alike. Command of distributed systems, APIs, cloud-native development, and data or graph systems. Expert-level Python, and/or Java, Go, or TypeScript. Technical leadership and mentorship that moves teams through influence. Applied interest in security problems—attack-path analysis, vulnerability management, identity security, threat intelligence, or detection and response—is strongly preferred. 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, governance, or policy guardrails is a plus. 10+ years of software engineering experience, including leading the design and delivery of complex production systems. Demonstrated experience as the technical owner or lead for a major system or across teams. Depth building AI/ML-powered production systems; probabilistic modeling, graph analytics, or calibration and evaluation is a strong plus. Modern AI experience: LLMs, RAG, embeddings, vector search, agentic harness and 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, or familiarity with modern security architectures and operations, is strongly preferred. For positions in this location, we offer a base pay of $201,300 - $352,300 , 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.