Senior Staff Machine Learning Engineer, Agentic Application

ServiceNow servicenow.com Open · verified Oct 22, 2026

On-site Mountain View Full-time Senior Machine Learning Engineering

At a glance

Senior Machine Learning Engineering role at ServiceNow. Mountain View · full-time · $201,300–$352,300 base.

SalaryStated by ServiceNow

$201,300 – $352,300

Base salary for this role, in USD per year, as published in the posting.

This role, from ServiceNowOur estimate for the market: $218,875–$250,066Median $238,000

The range includes the market median of $238,000 for senior machine learning engineering roles in Mountain View.

Worked out from 19 postings that stated pay, median $238,000. Last updated Oct 22, 2026.

RoleMachine Learning Engineering

SenioritySenior

LocationMountain View

WorkplaceOn-site

EmploymentFull-time

Base pay$201,300–$352,300

PostedJul 23, 2026 · 3mo ago

Role brief

aimlroles summary, based on the employer's posting.

What you'll do

Build product features with agentic AI techniques to solve enterprise use cases for business automation
Work with conversational AI specialists to apply current framework capabilities and engineering practices
Shape and test product scope alongside product, design, and go-to-market teams
Extend the product across customers, business domains, and global markets with high-quality, adaptable engineering
Spot recurring patterns and user feedback that can improve the agentic AI framework

What you bring

At least ten years developing scalable systems professionally
A bachelor's degree or higher in computer science or a related discipline
Experience leading engineers and guiding projects through end-to-end delivery
Strong product judgment and a background building scalable web or conversational interfaces

Who this fits

This role suits a senior product engineer who can lead technical delivery while working across machine learning, product, design, and go-to-market teams. The position is based onsite in Mountain View.

From the employer

Who we are

Moveworks is the Agentic AI Assistant platform that empowers the entire workforce.

Our platform enables employees to converse with all of their business systems through natural language to quickly find answers and automate tasks. Powered by the world's most advanced LLMs, our proprietary models, and a sophisticated Agentic AI platform, we're transforming how work gets done by allowing AI to take initiative, streamline complex workflows, and continuously learn and adapt.

Moveworks is trusted by over 5.5 million employees at more than 350 of the world’s largest companies, including 10% of the Fortune 500, to automate everyday tasks and streamline business operations. Recognized on the Forbes Cloud 100 and AI 50 lists, Moveworks was also named one of Fast Company’s 2025 Most Innovative Companies and Inc’s Best in Business, in the Best in Innovation category. Moveworks was also recognized at Microsoft’s 2025 Partner of the Year and in 2024, received the AI Breakthrough Award.

In December 2025, Moveworks was acquired by ServiceNow, marking a pivotal milestone in our journey to create a single front door to work for all business systems. By combining ServiceNow’s leading workflow automation with Moveworks’ Reasoning Engine and natural language capabilities, we deliver the AI platform for every person and every workflow. Built to go beyond basic summaries to deliver meaningful business impact. Together, our AI acts across enterprise systems to turn conversations into completed work.

By joining our team, you’ll be at the forefront of the AI transformation, backed by the global scale of ServiceNow and the agility of a high-growth company. We are looking for world-class talent to help us extend agentic AI to every employee across every corner of the business.

Come join us!

ServiceNow

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 — ServiceNow 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.

What you get to do in this role:

Our product excels in using cutting-edge Machine Learning technologies, particularly Generative AI, for business automation and critical tasks. As a conversation product engineer, you'll apply these technologies to impactful enterprise use cases. Our product serves diverse user personas across the enterprise through a unified conversational and GUI interface across chat and web channels. We're enterprise AI product pioneers with no fixed formula. You'll innovate on unsolved problems and expand customer perceptions of ML/GAI's business impact. Our team's expertise, spanning decades of ML evolution, years of delivering enterprise AI solutions, and first principles thinking, underpins our product's success. We seek high performance, a passion for enhancing the overall user impact, and a clear thinking framework for scalable, tailored experiences. You'll collaborate with ML/GAI experts and cross-functional teams on innovative features at our fast-growing AI startup.

Collaborate closely with GAI conversational framework experts to grasp the latest technology capabilities and best practices.
Design and implement stakeholder and end-user product features using cutting-edge Agentic AI and technical approaches to deliver business value.
Work with PM, UX, and GTM teams to define, scope, and validate product deliverables.
Expand the product's reach to more customers, domains, and global markets, ensuring high quality and extensible engineering implementation.
Identify patterns and feedback to advance the Agentic AI framework further.
Develop into a well-rounded product engineer with the expertise to apply LLM technologies for impactful products and strategic influence.

To be successful in this role you have:

Ability to tech lead other engineers and the e2e delivery of a project. Good communications and soft skills
BS or a higher degree in computer science or related field
10+ years professional experience in scalable system development
Strong product sense and a passion for building scalable web or conversational UI products
Excellent cross-functional collaboration skills
A constant thirst for learning and readiness to step out of your comfort zone

For positions in this location, we offer a base pay of $201,300-352,300, 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

ServiceNow 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), 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.