Jobs at Servicenow - smartrecruiters TEST

The CRM Prime Account Executive will sell ServiceNow CRM solutions to business leaders in customer service, field operations, revenue operations, and sales. Responsibilities include developing territory plans, building executive relationships, leading virtual sales teams, conducting discovery and business reviews, advising customers on CRM solutions, negotiating deals, and identifying expansion opportunities. The role requires 10+ years of software or solutions sales experience and travel up to 50%.

Provides high-level administrative support to VP-level leadership by managing complex calendars, meetings, correspondence, travel, expenses, credit card reconciliation, confidential materials, and organizational priorities. Supports new-hire setup and onboarding processes, resolves administrative issues, and helps integrate AI and workflow tools into work processes.

Build and own runtime infrastructure for enterprise AI agents, including orchestration, model routing, distributed session management, event-driven pipelines, concurrency, observability, caching, and LLM tool connectivity. Develop production backend systems at scale using Python or Go, evaluate and deploy open-weight models, improve token efficiency and agent quality, and support reliable multi-step reasoning and workflow execution.

Build and operate cloud-based AI/ML services for enterprise customers. Responsibilities include developing efficient, modular software in Go or Python, deploying and scaling production Kubernetes services with Helm and CI/CD, owning observability, resolving incidents, participating in on-call rotations, conducting root-cause analysis, and meeting service-level objectives. Collaborate with developers, product managers, quality engineers, and product owners throughout design, implementation, testing, and delivery.

Partners with Finance and Strategy leaders to develop workforce, talent, organizational, and operating-model strategies. Advises on AI-driven work redesign, workforce planning, succession, organizational effectiveness, talent processes, people analytics, change management, and future capabilities. Acts as a trusted senior-leader advisor, driving transformation, organizational design, team effectiveness, and inclusive high-performance culture across a complex, matrixed organization.

Owns monetization, packaging, pricing, and consumption strategy for ServiceNow’s EmployeeWorks AI products. Partners across Product, Data Science, Marketing, Sales, Finance, Engineering, and executive leadership to develop pricing models, rate cards, bundles, sales plays, financial models, experiments, and competitive insights that drive acquisition, expansion, retention, and profitable growth.

Own production database troubleshooting, incident root-cause analysis, performance tuning, observability, and automation across large-scale PostgreSQL and MariaDB fleets. Support ServiceNow’s multi-tenant cloud infrastructure, analyze Linux and application performance, influence infrastructure decisions, and mentor engineers across operations, support, and development. The role includes on-call rotation responsibilities.

Own performance, scalability, and reliability across Veza’s platform. Define benchmarks and SLAs, optimize services and databases, conduct load and stress testing, build observability, influence scalable architecture, lead root cause analysis, and mentor engineers. The role requires deep expertise in performance engineering, distributed systems, microservices, Golang, AWS, profiling, monitoring, and database optimization.

Own outbound product management and enablement for strategic partners, translating AI product strategy into messaging, demos, training, documentation, and adoption programs. Represent partner needs in product planning, lead feedback and escalation processes, and support executive partner engagements and GVP communications. Coordinate across Product, Engineering, GTM, Partnerships, Customer Success, and Professional Services to improve partner readiness, delivery quality, and satisfaction.

Designs scalable data infrastructure and transformation pipelines, establishes data quality standards, and builds automated evaluation systems for agentic AI workflows. Defines evaluation metrics, ground truth standards, datasets, dashboards, and reproducible pipelines using LLM models and execution logs. Collaborates across product, engineering, and data science teams, drives continuous improvement, troubleshoots production systems, and mentors engineers. Requires extensive production data engineering experience, ML evaluation expertise, cloud architecture knowledge, and technical leadership.

Lead architecture, optimization, and operations for an AI/ML inference platform. Own model onboarding, optimized production deployments across multiple inference backends, Kubernetes infrastructure, and an Envoy-based gateway for access control, observability, and request routing. Build efficient backend software, operate distributed systems, manage observability and incidents, participate in on-call, and improve performance through profiling and tuning.

Develop scalable full-stack web applications and platform capabilities using modern web and cloud technologies. Translate product requirements into maintainable software, contribute to architecture decisions, ensure quality through testing and code reviews, and collaborate with cross-functional Agile teams. The role also involves debugging, adopting AI-powered engineering tools, mentoring teammates, and building reusable frameworks and shared platform capabilities.

Build and own distributed runtime infrastructure for AI agents, including orchestration state machines, long-running session management, event-driven pipelines, asynchronous concurrency, observability, caching, and state layers. Design systems using DynamoDB, SQS, Kafka, gRPC, Redis, and OpenTelemetry that operate reliably at scale with low latency, strong correctness, crash recovery, and real-time streaming.

Leads Customer Excellence Group operations across the Americas, overseeing strategy, annual planning, performance management, forecasting, capacity planning, operational cadences, and cross-functional alignment. Partners with senior leaders across Finance, HR, Sales, and other functions to drive customer success, renewals, growth, and transformation. Builds and develops the operations team, standardizes reporting and accountability, supports executive communications, and delivers strategic programs across a complex, geographically distributed organization.

Leads and manages the DevOps/DevSecOps team responsible for scalable AI cloud infrastructure, developer platforms, CI/CD, infrastructure as code, GitOps, and secure software delivery. The role sets technical strategy, mentors engineers, oversees cloud security, incident response, observability, compliance, and multi-quarter project delivery while partnering with engineering, security, and organizational leadership.

Leads U.S. international tax provision and compliance, including complex tax calculations, filings, modeling, documentation, and forecasting. Oversees tax controversy support, M&A due diligence and integration, cross-border tax planning, and regulatory monitoring. Provides technical guidance, manages internal and external relationships, develops AI-enabled tax workflows, and partners with Finance, Legal, Treasury, Corporate Development, and other stakeholders on strategic tax matters.

Design, develop, and scale identity security solutions for AI agents across enterprise applications and systems. Define agent security roadmaps and industry standards, implement visibility and least-privilege controls, 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 building production-grade backend APIs and distributed microservices.

Leads ServiceNow’s corporate and product public relations strategy across the Americas. Oversees corporate reputation, product storytelling, executive visibility, media relations, crisis communications, financial communications, agency partnerships, budgets, and a high-performing PR team. Advises senior executives, including the CEO, develops regional narratives, supports product launches, manages media relationships, and uses AI-powered tools and data-driven insights to improve communications impact.

Design, develop, and deploy scalable Voice AI platforms and distributed systems across regions and datacenters. Integrate voice and LLM technologies, build agent-based experiences, and create reliable software using strong engineering practices. Partner with product managers and customers to address use cases, improve SRE tooling, and support operational excellence. Mentor engineers, promote knowledge sharing, and contribute to secure, compliant AI solutions in regulated environments.

Finance interns support financial decision-making through data analysis, financial modeling, budgeting, forecasting, reporting, variance analysis, and month-end or quarter-close activities. Interns partner cross-functionally, contribute to strategic finance projects, and participate in professional development. Placements may include FP&A, accounting, go-to-market finance, treasury, and strategic finance. The role is a 12-week summer internship for students pursuing relevant bachelor’s degrees.