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What you get to do in this role: The Advanced Technology Group (ATG) at ServiceNow is a customer-focused innovation group building intelligent software and smart user experiences using existing and latest advanced technologies to enable end-to-end, industry-leading work experiences for customers. We are a group of researchers, applied scientists, engineers, and product managers with a dual mission. We build and evolve the AI platform, and partner with teams to build products and end-to-end AI-powered work experiences. In equal measure, we lay the foundations, research, experiment, and de-risk AI technologies that unlock new work experiences in the future. You will play a major part in building AI and Machine Learning (ML) solutions that transform the user experience and workflow efficiency of enterprise services. Traditional analytical tools tend to require a technically knowledgeable user to produce even simple results. We are taking a completely fresh approach with the expectation that any user, regardless of technical knowledge, can use the AI/ML solutions we develop to operate the services in the enterprise setting in a thoughtful and scalable manner. We are just getting started with our early-adopter customers and we need your help in building and making available an amazing range of solutions to our 5k+ enterprise customers around the world. Build the best cloud-based AI/ML solutions to power intelligent enterprise services Collaborate daily with a team of like-minded developers, product managers and quality engineers to produce quality software Work with product owners to understand detailed requirements and own your code from design, implementation, testing and delivery of high-quality solutions to our users To be successful in this role you have: Expertise in Go or Python, Design Patterns, time and space-efficient algorithms DevOps requirements 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 Experience building new products that use challenging algorithms Expertise in coding efficient, object-oriented, modularized and quality software Knowledge of core AI/ML techniques and algorithms Knowledge of unit testing, profiling, and code tuning Desired skills but not required: 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. For positions in this location, we offer a base pay of $161,300 - $274,200 , 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.

This isn’t a role for someone who just builds standard API connectors. As a Cybersecurity Integration Engineer (Conventional and AI native), you will be bridging the gap between conventional security stacks and next-generation, AI-driven insights. You will design and deploy standard integrations and intelligent agents that do more than move data; they transform raw, fragmented telemetry into a cohesive, actionable risk posture. You will be the creator of automated reasoning within our integration layer, ensuring that our customers don’t just have data—they have the right insights and actionable intelligence. You will work alongside the team to redefine and transform how integration is developed in Armis. Impact: What You’ll Do Build and evolve high-scale, resilient integrations (APIs, webhooks, streaming data) with the broader security ecosystem, ensuring seamless interoperability at enterprise scale. Pioneer AI-Native integration patterns and innovations, moving beyond simple data ingestion to implementing autonomous threat reasoning and automated security orchestration. Resolve high frictions cases with customers and keen eye to find and resolve edge cases. Develop scalable libraries and frameworks that allow our platform to speak the language of thousands of enterprise security products through unified data models. Partner closely with R&D and Product teams to define the future of autonomous risk management, and to prototype and deploy AI use cases that solve real-world security challenges. Contribute to evolving the existing integration factory into a self-service, low-code/no-code platform. Requirements 5- 10 years of deep Python engineering expertise with a focus on building production-grade, maintainable codebases. Cyber Security experience is a plus Deep networking fundamentals, including strong knowledge of TCP/IP and L3-L7 protocols. Experience with high-throughput, enterprise-scale distributed systems, Async and synchronous programming. A product-minded approach: you don’t just write code; you solve critical problems for our customer base. Preferred: Hands-on experience with Kubernetes, Kafka/message queues, and LLM-powered application development (RAG, agentic workflows). Bring a proactive "can-do" attitude combined with a mindset focused on continuous learning and innovation. In accordance with our hybrid work policy, this position requires on-site office attendance a few times each week. 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.

This isn’t a role for someone who just builds standard API connectors. As a Cybersecurity Integration Engineer (Conventional and AI native), you will be bridging the gap between conventional security stacks and next-generation, AI-driven insights. You will design and deploy standard integrations and intelligent agents that do more than move data; they transform raw, fragmented telemetry into a cohesive, actionable risk posture. You will be the creator of automated reasoning within our integration layer, ensuring that our customers don’t just have data—they have the right insights and actionable intelligence. You will work alongside the team to redefine and transform how integration is developed in Armis. What You’ll Do Collaborate with senior engineers to build and maintain scalable, resilient integrations (APIs, webhooks, streaming data) across the security ecosystem. Implement modern design patterns and best practices to support AI-native integration workflows and automated threat handling. Assist in troubleshooting customer friction points and systematically resolve edge cases within integration services. Contribute to reusable libraries and data-mapping frameworks to enable standard connections across enterprise security tools. Partner with cross-functional R&D and Product teams under technical guidance to implement features that improve automated risk management. Help enhance existing integration components to support low-code and self-service capabilities. Requirements 2 to 5 years of Python engineering expertise with a focus on building production-grade, maintainable codebases. Cyber Security experience is a plus Deep networking fundamentals, including strong knowledge of TCP/IP and L3-L7 protocols. Experience with high-throughput, enterprise-scale distributed systems, Async and synchronous programming. A product-minded approach: you don’t just write code; you solve critical problems for our customer base. Preferred: Hands-on experience with Kubernetes, Kafka/message queues, and LLM-powered application development (RAG, agentic workflows). Bring a proactive "can-do" attitude combined with a mindset focused on continuous learning and innovation. In accordance with our hybrid work policy, this position requires on-site office attendance a few times each week. 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.

This isn’t a role for someone who just builds standard API connectors. As a Cybersecurity Integration Engineer (Conventional and AI native), you will be bridging the gap between conventional security stacks and next-generation, AI-driven insights. You will design and deploy standard integrations and intelligent agents that do more than move data; they transform raw, fragmented telemetry into a cohesive, actionable risk posture. You will be the creator of automated reasoning within our integration layer, ensuring that our customers don’t just have data—they have the right insights and actionable intelligence. You will work alongside the team to redefine and transform how integration is developed in Armis. What You’ll Do Collaborate with senior engineers to build and maintain scalable, resilient integrations (APIs, webhooks, streaming data) across the security ecosystem. Implement modern design patterns and best practices to support AI-native integration workflows and automated threat handling. Assist in troubleshooting customer friction points and systematically resolve edge cases within integration services. Contribute to reusable libraries and data-mapping frameworks to enable standard connections across enterprise security tools. Partner with cross-functional R&D and Product teams under technical guidance to implement features that improve automated risk management. Help enhance existing integration components to support low-code and self-service capabilities. Requirements 2 to 5 years of Python engineering expertise with a focus on building production-grade, maintainable codebases. Cyber Security experience is a plus Deep networking fundamentals, including strong knowledge of TCP/IP and L3-L7 protocols. Experience with high-throughput, enterprise-scale distributed systems, Async and synchronous programming. A product-minded approach: you don’t just write code; you solve critical problems for our customer base. Preferred: Hands-on experience with Kubernetes, Kafka/message queues, and LLM-powered application development (RAG, agentic workflows). Bring a proactive "can-do" attitude combined with a mindset focused on continuous learning and innovation. In accordance with our hybrid work policy, this position requires on-site office attendance a few times each week. 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.

Senior Staff Software Engineer, Agentic Search Infrastructure About the Role Join us as we build the next generation of enterprise search infrastructure powering AI agents. Our mission is to evolve from traditional product-specific search systems into a composable, agent-native platform that enables agents and applications to discover, retrieve, reason over, and recommend information across heterogeneous enterprise data sources. As a Senior Staff Engineer, you will be the technical owner for foundational search infrastructure that serves as the backbone of our agentic platform. You will drive the architecture, scalability, and evolution of core indexing and retrieval systems while partnering closely with Search Ranking, ML, Platform, and AI teams to deliver production-grade search capabilities that power agent experiences across the company. What You'll Do Own Core Search Infrastructure Lead the design, development, and operation of critical search infrastructure components, including indexing systems, ingestion pipelines, metadata enrichment frameworks, and retrieval foundations that support a growing ecosystem of AI agents. Drive technical strategy and architectural decisions across multiple search infrastructure domains, ensuring the platform scales to support future agent use cases and expanding enterprise datasets. Serve as the technical authority for the end-to-end search lifecycle, from content ingestion through retrieval and ranking. Build Next-Generation Indexing Systems Design and operate large-scale hybrid indexing architectures that combine sparse retrieval, dense vector search, semantic retrieval, and emerging indexing approaches. Establish clean abstractions and interfaces that allow downstream ranking systems and AI agents to leverage search capabilities consistently across multiple retrieval paradigms. Drive innovations that improve search quality, latency, scalability, and cost efficiency across billions of indexed entities. Lead Enterprise Data Intelligence Architect high-throughput ingestion and enrichment pipelines that transform enterprise content into rich, permission-aware representations optimized for agent consumption. Define strategies for content parsing, chunking, embedding generation, entity extraction, metadata enrichment, and access control enforcement. Ensure consistency between index-time representations and query-time retrieval mechanisms to provide reliable foundations for agent reasoning. Advance Multi-Modal Search Lead the evolution of indexing and retrieval systems across diverse enterprise content types, including text, structured data, images, diagrams, audio, and video. Develop unified frameworks that enable agents to discover and reason across modalities through a consistent retrieval experience. Partner with ML and AI teams to bring emerging multi-modal capabilities into production. Drive Knowledge and Entity Infrastructure Contribute to the design and evolution of enterprise knowledge graph capabilities that connect people, content, tickets, documents, conversations, and business entities. Lead initiatives that improve entity resolution, relationship modeling, and contextual understanding throughout the search platform. Enable richer retrieval and agent reasoning through high-quality enterprise knowledge representations. Scale Reliability and Performance Own key platform metrics including search latency, indexing throughput, retrieval quality, infrastructure efficiency, and cluster health. Drive operational excellence through observability, capacity planning, resiliency engineering, and lifecycle management. Lead efforts to optimize infrastructure costs while maintaining high-performance retrieval experiences at scale. Technical Leadership Provide technical leadership and mentorship for engineers across the organization. Influence roadmap and architectural direction through technical vision, design reviews, and cross-functional collaboration. Drive alignment across Search Infrastructure, Ranking, ML, and Platform teams to deliver cohesive solutions to complex engineering challenges. Lead multi-quarter initiatives that span teams and materially advance the capabilities of the agentic search platform. Qualifications Required BS or MS in Computer Science or a related technical field; PhD is a plus. 8-12+ years of industry experience building large-scale distributed systems, search platforms, or data infrastructure. Deep hands-on experience with search technologies such as Lucene, Elasticsearch, OpenSearch, Solr, or comparable retrieval systems. Strong experience designing and operating distributed systems at scale, including storage, indexing, serving, and data processing infrastructure. Experience building and scaling production systems that leverage vector search, embeddings, retrieval systems, or AI-driven search capabilities. Proven track record of leading complex technical initiatives across teams and influencing architectural decisions beyond an individual team's scope. Demonstrated ability to balance technical depth with pragmatic delivery and operational excellence. 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. Preferred Experience with information retrieval, ranking systems, recommendation systems, or AI-powered search platforms. Experience with knowledge graphs, entity resolution systems, or enterprise data modeling. Familiarity with modern retrieval approaches including dense retrieval, RAG architectures, hybrid search, and semantic indexing. Experience operating large-scale search clusters and performance-sensitive distributed infrastructure. Background working closely with ML or AI platform teams to productionize intelligent retrieval systems. Culture Passion for collaborating in a highly engaged, in-person engineering culture. Strong communication skills and a track record of influencing across organizational boundaries. Excitement for solving foundational infrastructure problems that unlock the next generation of AI agent experiences. 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.

Position Location: This is a Flexible (Hybrid) position. Flexible positions require 2 days per week in a ServiceNow office location. We have offices in several locations, including San Francisco, CA; Pleasanton, CA; Santa Clara, CA; San Diego, CA; and Kirkland, WA Are you energized by the power of enterprise-scale data to transform how we work? At ServiceNow, our mission is to “make the world of work, work better for people,” and our AI-driven platform is delivering on that promise. We're the #1 enterprise platform for uniting AI, data, and workflows — simplifying how people work, automating what slows them down, and enabling seamless, impactful experiences. About the Role — Senior Staff Data Platform Software Engineer, Data Access Team Every workflow, AI agent, and application on the ServiceNow AI Platform depends on one thing: getting the right data, fast, correctly, and securely. As part of the Persistence organization, you'll build the layer that makes that possible, the foundation under a platform that 85% of the Fortune 500 runs their business on. You'll help: Give developers and customers faster, more reliable, more secure access to the data platform they build on Push the limits of IO, transactions, and concurrency across relational, time-series, and columnar engines Turn hard infrastructure problems into simple capabilities and automation for the developers and customers who build on the platform About the Team The Data Access team owns the ServiceNow ORM and data access layer. We take the platform's logical object model and translate every data request into high-performance queries against many database engines, including our homegrown RaptorDB (PostgreSQL), MariaDB, Oracle, and Trino, graph databases, and time-series databases. Our home-grown SQL generation engine, table management, and database metadata services are what let application developers build powerful applications across industries without ever having to manage engine complexity. That makes us one of the most leveraged teams in the company. A single improvement to our engine speeds up thousands of applications and millions of queries, and getting it wrong is not an option. As a Senior Staff Software Engineer , you'll be a key technical leader in the Platform Persistence group. You'll set the architectural direction for the data access layer as it expands into new engines and AI-driven workloads, and raise the bar for engineering craftsmanship across the organization. Why you'll love it here Problems that are hard: Query translation across heterogeneous engines, concurrency and locking at scale, and production issues that only show up at extreme volume. Impact you can measure: Your work touches every product on the platform. Real ownership: You'll set direction, write the design docs, and take features from idea to production, shaping the roadmap alongside product and engineering leadership. A team that likes the craft: We care about clean architecture, deep debugging, and mentoring each other, and we enjoy working through the gnarly problems together. What you'll do Set the technical direction and architecture strategy for the data access layer, balancing long-term scalability with delivery Work on core data architecture that touches every part of the product, keeping it high-quality, reliable, secure, and fast Own features from design through delivery, turning business requirements into well-architected, cross-team solutions Lead design and code reviews, championing performance, maintainability, and testability across multiple teams Define comprehensive test strategies covering functional, regression, integration, and performance testing Diagnose and resolve the hardest production issues across the stack Mentor engineers at every level and raise the technical bar across the organization To be successful: Having aptitude for learning new technologies quickly Demonstrated success completing complex, cross-team projects, on time and with quality Experience with troubleshooting difficult production issues e.g., memory leaks, concurrency issues, locking issues, network problems, intermittent failures etc. across the stack Track record of technical leadership — influencing architecture and engineering decisions across multiple teams without relying on direct authority Strong written and verbal communication skills, including experience authoring design docs/RFCs and presenting technical strategy to senior engineering leadership To be successful in this role you have: 12+ years of software development experience with a Bachelor's degree; OR 8+ years with a Master's degree; OR 5+ years with a PhD; OR equivalent work experience. A demonstrated track record of technical leadership at a Staff or Senior Staff level (or equivalent) Expert level with core Java development Advanced-Expert level of backend platform development Expert level understanding of best practices for object-oriented and modularized software, with emphasis on Java Knowledge and/or experience with relational databases: PostgreSQL, Oracle, MySQL, Trino, etc. Strong knowledge of data structures, algorithms, object-oriented design, design patterns, and performance optimization at scale Experience with automated testing frameworks (e.g., JUnit, Selenium, TestNG) and integrating tests into CI/CD pipelines Deep understanding of software quality principles including reliability, observability, and production readiness Good understanding of cloud-based and distributed systems Experience leveraging or critically thinking about how to integrate AI into engineering work — whether using AI-powered coding and operational tooling, automating workflows, or reasoning about how AI changes the way software and infrastructure are built. Nice to have: Familiarity with ServiceNow platform is a plus Familiarity with RDBMS internals Familiarity with Neo4J and graph databases Passionate about database technologies Experience with Unix shell Experience working in a DevOps environment Experience working in a customer focused environment 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.

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 $145,270 - $160,300, 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 Multimodal team is transforming how ServiceNow understands multimodal content, including documents, images, and videos, by bringing the latest advances in AI into enterprise workflows. We build and own the platform services and products that power use cases across document extraction, visual understanding, and agentic automation. Our team includes ML engineers and applied researchers who are passionate about turning cutting-edge research into reliable products that deliver real customer impact. Job Description The Machine Learning Engineer designs, builds, deploys, and operates the services behind ServiceNow's multimodal AI capabilities, helping the platform understand documents, images, and videos. The Engineer works on the platform services and products that bring LLMs into reliable, scalable enterprise features. This role needs someone who cares deeply about building production-ready ML services: designing clean APIs and pipelines, deploying and scaling services on Kubernetes, and keeping them fast, observable, and resilient. The Engineer owns the quality and correctness of what ships, whether the code was written by a human or with the help of AI coding agents. What you get to do: Build scalable ML services. Design, develop, and improve services and pipelines for document extraction, visual understanding, and agentic automation, integrating LLMs into production systems. Deploy and operate on Kubernetes. Containerize, deploy, and scale services on Kubernetes, and contribute to CI/CD, observability, and alerting that keep them reliable. Own quality and reliability in production. Write clean, tested code, build automated tests, monitor service health, and help investigate and resolve customer-facing issues such as performance limits and quality gaps. Build product features end to end. Turn product requirements into well-designed features, from API design and data handling to performance tuning and release. Collaborate across teams. Partner with product managers, engineers, designers and consuming product teams to define success criteria, understand tradeoffs, and communicate capabilities and limitations clearly. Qualifications Master's degree in Computer Science, Machine Learning, or a related technical field, with 1 to 3 years of related experience. 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. Software engineering fundamentals. Strong command of data structures, algorithms, system design, APIs, concurrency, and testing. Java or JavaScript experience is a bonus. Hands-on experience with Docker and Kubernetes ML foundations. Solid understanding of machine learning fundamentals and how LLMs and vision-language models are integrated into applications. Computer vision and model evaluation. Understanding computer vision techniques and the ability to evaluate model quality independently, including designing test sets and choosing the right metrics. Production mindset. Experience building, deploying, and operating services, with attention to scalability, observability, and reliability. Hands-on multimodal experience. Projects, research, or work involving document understanding or multimodal models is a strong plus. AI-native approach. Curiosity and a track record of using AI tools to improve engineering workflows. Growth mindset. Eagerness to learn, take ownership, and grow in a collaborative team. For positions in this location, we offer a base pay of $158,900 - $178,100, 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.