Senior Staff AI-Native Systems Engineer

ServiceNow; San Diego (CA); Hybrid; USD 172,000 - 301,000; Full time

Benefits offered by this job

Health plans

401(k) Plan with company match

Job summary

ServiceNow is seeking an experienced engineering leader to drive AI-native engineering for Flow by ServiceNow, a standalone AI service desk. You’ll guide architecture, mentor engineers, and shape how AI shapes product delivery across teams, while focusing on reliability, governance, and scalable systems.

The role offers a base pay range of $171,900 - $300,800 annually, plus equity where applicable, comprehensive benefits, and a flexible work arrangement in line with our remote/hybrid work

Qualifications

• Experience integrating AI into workflows, decisions, or problem solving.
• 12+ years of software engineering with leadership at staff level or equivalent.
• Strong TypeScript or statically typed language skills and system design.

Responsibilities

• Lead design and delivery of complex, cross-functional features from architecture through production operations.
• Build AI-native capabilities: agent loops, tools, prompt/context design, retrieval, and evaluation harnesses.
• Define and drive AI usage across the development lifecycle: code generation, test automation, review, triage, and documentation.
• Mentor senior and mid-level engineers and set standards for code quality, observability, and safe AI usage.
• Partner with product, UX, and other engineering leads to turn ambiguous problems into scoped, shippable plans.
• Own production quality for your area, including defect triage, release readiness, and gate reviews.

Skills

AI integration

Software engineering 12+ years

TypeScript proficiency

LLM features

Agentic architectures

Communication

Enterprise SaaS

Job description

ServiceNow is seeking an experienced engineering leader to drive AI-native engineering for Flow by ServiceNow, a standalone AI service desk. You’ll guide architecture, mentor engineers, and shape how AI shapes product delivery across teams, while focusing on reliability, governance, and scalable systems.

The role offers a base pay range of $171,900 - $300,800 annually, plus equity where applicable, comprehensive benefits, and a flexible work arrangement in line with our remote/hybrid work