Jobs at ServiceNow

Hands-on security engineer partnering with enterprise customers to assess cloud-native and distributed architectures, conduct threat modeling, validate security controls, and develop secure reference architectures. The role covers identity, networking, encryption, data protection, application security, Kubernetes, AI security, and integrations. It also involves customer workshops, executive briefings, technical documentation, and collaboration with Product, Engineering, and Product Security teams to influence platform improvements and secure AI adoption.

Own partner-facing product management for ServiceNow AI products, translating roadmaps into messaging, enablement, demos, training, and adoption programs. Advocate for strategic partners by managing feedback loops, escalations, readiness, and implementation needs. Support executive partner engagements and draft communications for the GVP of AI Product Management. Coordinate across Product, Engineering, GTM, Partnerships, Customer Success, and Professional Services to align partner commitments, improve readiness, and influence product priorities.

Designs data infrastructure, pipelines, transformation tools, and automated evaluation systems for agentic AI workflows. Defines metrics, ground truth standards, quality gates, dashboards, and reproducible evaluation datasets. Partners with product, engineering, and data science teams to improve AI systems, ensure data quality and reliability, establish scalable architecture, and mentor junior engineers.

Build and own distributed runtime infrastructure for Moveworks AI agents. Responsibilities include agent orchestration, distributed session management, event-driven messaging, asynchronous concurrency, observability, caching, and state layers. The role requires designing scalable backend systems using Python or Go, DynamoDB, Redis, SQS, Kafka, gRPC, OpenTelemetry, and related technologies.

Leads Customer Excellence Group operations across the Americas, owning strategy, annual planning, performance management, forecasting, capacity planning, and executive operating cadences. Partners with Finance, Sales, HR, and senior leadership to drive customer success, resource allocation, transformation, and cross-functional execution. Builds and develops the operations team, standardizes reporting and accountability, and supports high-priority initiatives across a complex, geographically distributed organization.

Leads and manages the DevOps/DevSecOps team responsible for scalable AI cloud infrastructure, developer platforms, CI/CD, release engineering, infrastructure-as-code, GitOps, security automation, observability, and incident management. Defines the team’s strategy and multi-quarter roadmap, mentors engineers, manages cross-functional projects and dependencies, supports compliance audits, and partners with security and infrastructure leaders to improve reliability, developer experience, and operational excellence.

Build an agent evaluation platform for multi-step AI workflows. Responsibilities include orchestrating large-scale evaluations, scheduling and retries, OpenTelemetry-based agent tracing, trajectory observability, stateful enterprise-system simulations, user simulators, contract-testing mocks, and reproducible sandbox environments. The role develops calibrated evaluation signals that can support agent optimization and training, while operating reliable, high-concurrency backend infrastructure.

Owns the technical architecture, safety boundaries, instruction and tool surfaces, evaluation infrastructure, and production quality for agentic HR capabilities. The role covers LLM integrations, retrieval-grounded features, orchestration, access-aware data handling, evaluation suites, observability, incident response, and model or orchestration migrations. Partners with product, engineering, and design while setting technical standards across teams.

Leads pricing and packaging strategy for ServiceNow’s EmployeeWorks AI products. Develops pricing models, bundles, rate cards, consumption strategies, financial analyses, competitive research, and monetization experiments. Partners with Product, Data Science, Engineering, Marketing, Sales, Finance, and executives to drive acquisition, expansion, retention, revenue, and margin performance across direct, partner, and reseller channels.

Leads U.S. international tax provision and compliance, including GILTI, FDDEI, BEAT, Subpart F, foreign tax credits, and related filings. Oversees tax modeling, forecasting, tax controversy, M&A due diligence and integration, cross-border tax planning, and technical documentation. Partners with Finance, Legal, Corporate Development, and external advisors while monitoring tax law changes and advancing AI-enabled tax workflows.

Design, build, and scale identity security solutions for AI agents. Define agent security roadmaps and industry standards, develop visibility and least-privilege capabilities, collaborate with product and security teams, and own features from design through deployment, monitoring, and maintenance. Apply AI techniques to strengthen agent security products while working with backend APIs, microservices, cloud platforms, IAM, and distributed systems.

Leads ServiceNow’s corporate and product public relations strategy across the Americas. Oversees corporate reputation, product storytelling, executive visibility, crisis communications, media relations, agency partnerships, budgets, and PR team development. Advises senior executives, including the CEO, translates complex AI and enterprise software into compelling narratives, supports financial communications and product launches, and measures communications impact through reputation, media, and business-performance metrics.

Design, develop, and deploy large-scale Voice AI distributed systems across regions and datacenters. Build core voice platform capabilities, integrate APIs and self-hosted models, develop LLM-based applications and agents, and ensure scalable, reliable software. Partner with product managers and customers, improve SRE tooling, enforce engineering best practices, and mentor colleagues across Voice AI disciplines.

Support production stability for large-scale, multi-tenant database fleets. Troubleshoot PostgreSQL and MariaDB performance issues, conduct incident root-cause analyses, develop observability and automation, analyze Linux and ServiceNow platform performance, influence cloud infrastructure decisions, and mentor engineers. The role includes on-call rotation and requires strong database, distributed systems, scripting, and troubleshooting expertise.

Finance interns complete a 12-week summer placement in areas such as FP&A, accounting, treasury, strategic finance, or go-to-market finance. Responsibilities include analyzing financial data, building models, preparing insights, supporting budgeting and forecasting, assisting with month-end and quarter-close processes, conducting variance analysis, and collaborating cross-functionally. Interns also participate in development workshops, networking, and mentorship programs while exploring AI applications in finance.

Own and execute a major Customer Success Platform workstream from problem definition through delivery, adoption, and outcome measurement. Translate business needs into requirements and BRDs, prioritize roadmaps, partner with engineering, lead UAT and release communications, and embed AI-driven automation. Track adoption, usage, ROI, and business impact while communicating strategy and risks to senior executives. Influence cross-functional stakeholders without direct authority and set high standards for product craft and execution.

Manage post-acquisition integration initiatives from strategy through execution, ensuring value realization, operational readiness, cost tracking, KPI performance, and issue resolution. Establish integration management offices and meeting cadences, coordinate business and functional stakeholders, support multiple acquisitions, and communicate progress to executives. Contribute to integration playbooks, tools, lessons learned, and continuous process improvement.

Build and maintain compute infrastructure, scheduling, capacity, and resource-management systems across private and public clouds. Develop software-defined infrastructure, automation, performance tests, forecasting tools, and reliability improvements. Collaborate with networking, orchestration, and SRE teams, participate in design reviews and on-call rotations, investigate incidents, and explore AI or ML for capacity and placement optimization.

Designs and evolves large-scale compute scheduling, resource management, capacity planning, and performance systems across private and public clouds. Applies AI and machine learning to forecasting, anomaly detection, and placement optimization. Owns infrastructure automation, reliability, incident response, architectural decisions, cross-team collaboration, and technical mentorship for enterprise SaaS compute platforms.

Lead security design for machine-learning features, maintain safeguards maps, and red-team LLM systems for jailbreaks, prompt injection, prompt leaks, and toxicity. Develop evaluation cases, mitigation strategies, security metrics, and production fixes with ML engineers. Monitor AI attack research, review safeguard changes, and ensure defenses remain effective across models and prompts.