Staff Machine Learning Engineer, Agentic Application

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.

• 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
• 7+ 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 $176,100-308,200, 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.

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.

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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
• 7+ 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 $176,100-308,200, 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. 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.