Six Figure Work

Senior Staff AI Agent Engineer – Moveworks | Customer Deployment

ServiceNow

Company websiteservicenow.com (ServiceNow, opens in new tab)

Base salary $190,900  to $334,100

Employer-published annual base salary, USD. Advertised base range in San Francisco, CA

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  • LocationSan Francisco, CA
  • WorkplaceRemote
  • Status at last checkSource accepting applications when checked
  • Last checked (53 min ago) · observed since

About this job

Company Description

It all started when engineer Fred Luddy wrote code that automated a tedious task for his coworker, Phyllis. She cried tears of joy. That moment inspired Fred to build a company that could do that for everyone—freeing people from busywork so they could focus on meaningful work. Today, ServiceNow is the AI control tower for business reinvention. Our ServiceNow AI platform brings together any AI, any data, and any workflow— helping 85% of the Fortune 500® work smarter, faster, and better. We're building an AI-native culture where technology and talent are unstoppable together. And we're just getting started.

Join us to put AI to work for people.

Job Description

About the Role:

You'll own the end-to-end technical relationship with enterprise customers, translating complex business challenges into high-impact AI solutions built on the Moveworks Platform. This is a customer-facing, field-based role — you'll be the primary technical point of contact throughout the full implementation lifecycle, from solution design through launch. You are equally comfortable whiteboarding with a customer's IT team in the morning and collaborating with internal engineering and product teams in the afternoon. 

This is not a back-office engineering role — you will be in front of customers regularly and are expected to travel up to 25% of the time. 

What You'll Own: 

  • Customer Technical Relationships: Serve as the primary technical owner across 3-5 of the largest strategic customer engagements simultaneously, driving adoption and measurable outcomes across the full Moveworks implementation lifecycle. 
  • Solution Design & Architecture: Partner with customers to architect and deliver high-impact AI solutions that solve real business challenges — leveraging the Moveworks Platform in innovative and meaningful ways.  Develop novel AI Agent frameworks, architectural patterns, or tooling that establish new internal capabilities. 
  • Integration & Implementation: Design and build secure, performant integrations between the Moveworks Platform and customer enterprise systems including ServiceNow, Workday, Okta, Jira, and others. 
  • Strategic Advisory: Serve as a trusted technical advisor both externally, helping customers develop their Agentic AI roadmap and upskilling their teams to operate the platform independently over time as well as internally, shaping a multi-year technical strategy for the platform 
  • Cross-organization initiatives: Align across Engineering, Product, Customer Success, and Sales leadership to coordinate and plan complex workflows that depend on multiple teams and infrastructure, which may be systemic gaps in platform capability or delivery methodology 
  • Mentorship & Knowledge Sharing: Generalize successful customer solutions into reusable templates and share learnings broadly across the team. Develop other engineers and ensure continuous growth among the team to reach higher bars of technical expertise and delivery of customer outcomes.. 

About You:

You are a technical generalist who genuinely enjoys working directly with customers. You thrive at the intersection of engineering, consulting, and customer success — and you're equally energized by solving a complex integration problem and presenting a solution narrative to a customer's executive team. 

  • Customer-First Mindset: You have strong communication and relationship skills, and you're compelled to develop and deliver compelling solution narratives through high-quality artifacts — architecture diagrams, solution proposals, SOWs — tailored to both technical and business audiences. 
  • Technical Mastery: You have a strong grasp of API-based systems integration, LLM-based systems design including prompt engineering, context engineering, and data modeling. 
  • Curiosity & Adaptability: You are a rapid learner with high technical aptitude — equally curious about what's happening under the hood and why a business process works the way it does. 
  • Product Judgment: You have strong product taste and are obsessed with delivering exceptional experiences for end users. 
  • Entrepreneurial Grit: You lean into ambiguity, navigate legacy systems with patience, and actively seek exposure across engineering, product, and business functions. 
  • Accountability: You have a strong sense of personal accountability to both customers and internal teammates who rely on your expertise. 

Qualifications

Required: 

  • 12+ years of experience in a customer-facing technical role — Solutions Engineer, Customer Success Engineer, Solutions Architect, Implementation Consultant, or Consulting Engineer 
  • Or similar experience with education 
  • Demonstrated track record of driving successful technical adoption with mid-to-large enterprise customers 
  • Experience designing, building, and launching full-stack workflows and automations leveraging REST APIs, iPaaS tools (Workato, Azure Functions, AWS Lambdas, ServiceNow Flow Designer), or scripting languages (Python, JavaScript, Golang) 
  • Proven ability to determine methods and procedures on new assignments independently, exercising strong judgment to select the right approaches and drive results across complex, cross-functional problems 
  • Experience leading projects and coordinating other team members, with strong networks across departments and key external stakeholders 
  • Willingness and ability to travel up to 25% of the time 
  • Ability to operate across multiple business functions and technical domains 

Preferred: 

  • Familiarity with enterprise platforms such as ServiceNow, Jira Service Desk, Zendesk, Workday, or Okta 
  • Familiarity with Linux and Windows environments and command line 
  • Current on the latest AI tools, frameworks, and agentic design patterns — and thoughtful about how to apply them to build reliable, scalable solutions 

     

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.

Additional Information

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 [email protected] 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.

Source: ServiceNow on SmartRecruiters · View original posting (opens in new tab)

Pay in context

This role's base floor ($190,900) is above 74% of the 12,713 Software Engineering roles nationwide listed on this site; 21 others list the same floor. Their median floor is $160,000; the middle half runs from $136,160 to $191,000.

Only jobs on this site count, and each one publishes a base salary of $100,000 or more, so this compares six-figure jobs with each other, not with the whole market. Computed Nov 7, 2026.

This range next to 6 other live ServiceNow roles with the nearest advertised base floor
Chart as a table
This range next to 6 other live ServiceNow roles with the nearest advertised base floor
RolePublished base
Senior Staff AI Agent Engineer – Moveworks | Customer Deployment (this listing)$190,900 - $334,100
Senior Staff AI Security Engineer$190,900 - $334,100
Senior Staff Software Engineer, Integrations (Tech Lead) — Veza$190,900 - $334,100
Senior Staff Inbound Product Manager$190,900 - $334,100
Senior Staff Platform Engineer - Kubernetes - Federal$190,900 - $334,100
Senior Staff Software Engineer – Compute Engineering$190,900 - $334,100
Senior Staff Outbound Product Manager - GTM / Data & Analytics$190,900 - $334,100

Same $100K to $400K scale as every card. All ServiceNow roles · How to read the bar

Observed changes

  1. First observed on the employer's board
  2. fields changed
  3. Began meeting the published-salary criteria
Observed since
Employer-stated posting date
2026-09-01
Where this pay comes from

Location as the employer wrote it: San Francisco, California, United States (remote)

For positions in this location, we offer a base pay of $190,900 - $334,100, plus equity (when applicable), variable/incentive compensa

Method
Employer text, read with fixed rules and re-verified
Checked
Rule set
us-base-v2

The pay passage appears in the employer's own job text. Fixed, deterministic rules located it, and the passage below was checked against the stored copy of the posting.

What we verified

  • The pay figures come from the employer's own listing, quoted exactly above.
  • The pay is an annual base salary in US dollars with a minimum of at least $100,000.
  • The role was publicly listed on the employer's job board when last checked.

We do not verify what the employer will actually offer, whether the employer is still recruiting for the role, or anything beyond what the employer published. Full methodology.

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