Jobs at ServiceNow

Lead product strategy and roadmap development for AI-native HR technology products. Define requirements, prioritize high-impact initiatives, guide cross-functional development, and build consensus across teams. Translate AI research and market insights into differentiated product features, oversee products from conception through production, and coach product team members. The role requires deep expertise in MCP, A2A protocols, LLMs, agentic workflows, multi-platform architecture, HR technology, vendor AI capabilities, and consumption-based AI pricing.

Design and develop scalable software components, user experiences, and AI-powered features. Own functionality from design through delivery, collaborate with product managers, integrate automated testing, develop comprehensive test strategies, participate in code reviews, troubleshoot distributed systems, and optimize performance, reliability, and maintainability.

Build and scale reliable agentic AI systems, including orchestration, code execution, agent memory, LLM self-improvement, simulations, knowledge graphs, and multimodal interfaces. Implement AI algorithms, productionize them, optimize performance, write robust code, contribute to technical roadmaps, collaborate across engineering and product teams, and mentor engineers. The role requires strong production-systems experience, technical communication, operational excellence, and programming in Python, Golang, and/or Java.

Leads product strategy and a team of product managers across developer reach, sandboxes, agentic testing, and release operations. Owns an integrated lifecycle for safely validating, governing, and deploying AI- and human-generated code. Responsibilities include roadmap development, PM coaching, release governance, sandbox strategy, metering, escalation triage, executive alignment, and cross-functional technical leadership across enterprise developer platform products.

Leads product marketing for ServiceNow’s Customer Excellence portfolio, including Impact and Expert Services. Owns positioning, messaging, competitive differentiation, seller enablement strategy, market intelligence, customer and field insights, and go-to-market frameworks. Builds the operating model, governance, workflows, and scalable systems needed to grow the function. Partners with Product, Services, Sales, Customer Success, and Marketing while influencing senior stakeholders and supporting recurring-revenue transformation through AI and automation.

Leads the design, development, and delivery of complex internal go-to-market and Sales CRM systems. Owns backend services, APIs, event-driven microservices, architectural direction, integrations, production support, and technical decisions. Collaborates with stakeholders and TPMs, contributes to UI development, applies AI-assisted and agentic workflows, mentors engineers, and establishes best practices for testing, debugging, code review, and scalable system design.

Leads approximately 20 engineers building and operating scalable HR Service Delivery services. Owns technical strategy, architecture, delivery, reliability, security, and operational excellence while driving AI-powered employee experiences and AI-assisted engineering practices. Recruits and develops engineering leaders, partners with product and design teams, and ensures enterprise-grade cloud services meet customer, privacy, compliance, and responsible AI standards.

Lead product development for an enterprise agentic AI platform and ServiceNow catalog interpreter from concept through launch. Define product specifications, technologies, developer interfaces, user experiences, success metrics, and roadmap priorities. Partner with engineering, machine learning, design, customer success, and deployment teams; analyze product usage data; support developer ecosystems and hackathons; and build relationships with enterprise CIOs and IT leaders.

Own the Tool Studio product area for an agentic AI platform, driving development from concept through launch. Define product strategy, specifications, success metrics, developer interfaces, and end-user experiences. Partner with engineering, machine learning, design, deployment, and customers to prioritize roadmaps, improve integrations, support adoption, and build the developer ecosystem. Use product usage data, market research, and customer feedback to guide decisions while building trusted relationships with enterprise technology leaders.

Own enterprise-level strategy workstreams from problem framing through recommendations. Conduct market, competitive, customer, financial, and internal data analysis; develop fact bases and strategic narratives; present findings to the CFO, executive leadership team, and Board. Collaborate with business units, Corporate Development, and Ventures on strategic priorities and inorganic opportunities.

Creates polished product concepts, high-fidelity prototypes, demo flows, storyboards, and visual narratives using Figma and AI-assisted workflows. Partners with product, engineering, research, design, and storytelling teams to clarify ideas, iterate on solutions, support emerging AI experiences, and communicate design rationale. Maintains reusable prototype frameworks and contributes to design standards, templates, and interaction patterns.

Leads a team of 6–10 engineers building and operating cloud-native platform services. Owns hiring, coaching, delivery, technical direction, roadmaps, reliability, scalability, SLOs, on-call practices, and operational improvements. Partners across engineering to align platform architecture and dependencies while reviewing designs, code, and architectural decisions. Requires substantial experience with distributed systems, Kubernetes, hyperscalers, containers, CI/CD, GitOps, infrastructure as code, and engineering management.

Architects and builds large-scale distributed platform components and data ingestion systems. Designs scalable, fault-tolerant data lake architectures using Kubernetes, Iceberg, Kafka, Flink, and Spark. Develops reusable libraries and frameworks, leads complex technical initiatives, establishes engineering best practices, troubleshoots production issues, and provides technical leadership across engineering teams.

Build and deploy production-grade, LLM-enabled applications spanning backend services, data orchestration, vector databases, and front-end interfaces. Work directly with strategic customers in agile sprints, integrate legacy systems, create reusable AI libraries and scaffolds, and influence platform strategy. Diagnose distributed-system performance, implement observability, and deliver secure, scalable solutions across enterprise environments. The role requires extensive software engineering experience, customer-facing delivery, AI architecture expertise, and travel up to 30%.

Design, develop, and deploy scalable Voice AI platforms and distributed systems across regions and datacenters. Build audio acquisition, conversation management, speech generation, model integrations, and voice harness capabilities. Partner with product managers and customers, improve SRE tooling, enforce software engineering best practices, and mentor engineering colleagues. The role requires extensive experience with LLM applications, AI agents, programming, Kubernetes, and highly available workloads.

Design, develop, and operate scalable Voice AI platforms, including audio acquisition, conversation management, speech generation, model integrations, and voice harnesses. Build distributed systems across regions and datacenters, develop LLM-based applications and agents, improve SRE tooling, enforce software engineering practices, collaborate with customers and product managers, and mentor engineering colleagues.

Leads customer-facing design, deployment, and operation of agentic AI solutions on the ServiceNow platform. Defines reusable architectures, integration patterns, guardrails, verification, monitoring, and rollback practices. Advises customer technical and executive stakeholders, mentors engineers, sets technical standards across engagements, and feeds field insights into product and engineering. Requires extensive forward-deployed or solution-architecture experience, production AI expertise, strong system design, security and reliability judgment, communication skills, and technical leadership.

Design, build, and operate AI-native enterprise applications for regulated industries. Develop agentic workflows, prompts, tool integrations, conversational experiences, evaluation frameworks, safety controls, and scalable distributed systems. Work directly with customers, troubleshoot production behavior, mentor engineers, influence architecture, and lead complex cross-team initiatives. Translate business and regulatory needs into reliable technical solutions while managing AI quality, security, performance, cost, and operational risks.

Design, build, and operate telephony and CCaaS connectivity integrations for ServiceNow’s Voice ecosystem. The role focuses on SIP signaling, media, real-time audio, call-path reliability, security, observability, and production troubleshooting across customer environments. Responsibilities include integrating platforms such as Genesys, NICE, Five9, Amazon Connect, and Twilio; defining technical specifications; leading engineering decisions; supporting forward-deployed implementations; and partnering with voice AI, product, and platform teams.

Design, build, and operate production telephony and CCaaS connectivity integrations for ServiceNow’s Voice ecosystem. The role owns SIP signaling, media and event integrations, call reliability, security, observability, failover, and production incident response across carriers and vendors. It also involves forward-deployed customer delivery, architectural direction, technical specifications, mentoring, and cross-functional collaboration. The engineer ensures voice AI agents receive reliable, low-latency audio and event streams without building the agents themselves.