채용
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 5–8 enterprise 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.
- Integration & Implementation:
Design and build secure, performant integrations between the Moveworks Platform and customer enterprise systems including Service Now, Workday, Okta, Jira, and others.
- Strategic Advisory:
Serve as a trusted technical advisor, helping customers develop their Agentic AI roadmap and upskilling their teams to operate the platform independently over time.
- Product Feedback Loop:
Synthesize on-the-ground customer feedback and technical gaps, working directly with Moveworks Engineering and Product teams to influence platform evolution.
- Reusability & Knowledge Sharing:
Generalize successful customer solutions into reusable templates and share learnings broadly across the team.
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.
Required:
- 8+ years of experience in a customer-facing technical role — Solutions Engineer, Customer Success Engineer, Solutions Architect, Implementation Consultant, or Consulting Engineer
- 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, i PaaS tools (Workato, Azure Functions, AWS Lambdas, Service Now 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 Service Now, 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
FD21
For positions in this location, we offer a base pay of $137,700 - $241,000, 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.
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
Service Now is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, creed, religion, sex, sexual orientation, national origin or nationality, ancestry, age, disability, gender identity or expression, marital status, 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 globaltalentss@servicenow.com 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), Service Now may be required to obtain export control approval from government authorities for certain individuals. All employment is contingent upon Service Now obtaining any export license or other approval that may be required by relevant export control authorities.
From Fortune. ©2025 Fortune Media IP Limited. All rights reserved. Used under license.
It all started in sunny San Diego, California in 2004 when a visionary engineer, Fred Luddy, saw the potential to transform how we work. Fast forward to today — Service Now stands as a global market leader, bringing innovative AI-enhanced technology to over 8,100 customers, including 85% of the Fortune 500®. Our intelligent cloud-based platform seamlessly connects people, systems, and processes to empower organizations to find smarter, faster, and better ways to work. But this is just the beginning of our journey. Join us as we pursue our purpose to make the world work better for everyone.
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ServiceNow 소개

ServiceNow
PublicServiceNow, Inc. is an American software company that supplies a cloud computing platform for the creation and management of automated business workflows. The company was founded in Santa Clara, California, United States, in 2003 by Fred Luddy.
10,001+
직원 수
Santa Clara
본사 위치
$150B
기업 가치
리뷰
3.8
10개 리뷰
워라밸
2.8
보상
3.7
문화
4.1
커리어
3.4
경영진
3.2
72%
친구에게 추천
장점
Supportive and collaborative team environment
Good training and development opportunities
Flexible work arrangements
단점
Work-life balance challenges and heavy workload
Fast-paced and stressful work environment
Management and communication issues
연봉 정보
57개 데이터
Junior/L3
Mid/L4
Senior/L5
Staff/L6
Junior/L3 · Data Scientist IC1
0개 리포트
$117,503
총 연봉
기본급
-
주식
-
보너스
-
$99,878
$135,128
면접 경험
6개 면접
난이도
3.0
/ 5
소요 기간
14-28주
면접 과정
1
Application Review
2
Recruiter Screen
3
Technical Phone Screen
4
Behavioral Interview
5
Panel Interview
6
Final Interview
자주 나오는 질문
Coding/Algorithm
Behavioral/STAR
Technical Knowledge
System Design
뉴스 & 버즈
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·
Today
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·
1d ago