ServiceNow
Senior Staff Inbound Product Manager
ServiceNow, Santa Clara, California, us, 95053
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.
We’re not yesterday’s IT department, we're Digital Technology. The world around us keeps changing and so do we. We’re redefining what it means to be IT with a mindset centered on transformation, experience, AI-driven automation, innovation, and growth. We’re all about delivering delightful, secure customer and employee experiences that accelerate ServiceNow’s journey to become the defining enterprise software company of the 21st century. And we love co-creating, using, and highlighting our own products to do it.
Ultimately, we strive to make the world work better for our employees and customers—when you work in ServiceNow Digital Technology, you work for them.
This role combines the responsibilities of a Product Manager, Data Scientist, and Analyst.
As a Product Manager:
Identify the need for new AI-based metric models or enhancements to existing models and take ownership of the end-to-end product management process, while having strong understanding of the technical capabilities.
Partner very closely with data scientists, machine learning engineers, data engineers, business to own the end-to-end lifecycle of AI model development and investigate GenAI usecases and capabilities to create new customer experiences that aid in data backed enterprise decision making.
Develop product roadmaps and strategies that reflect mathematical AI models in a very consumable, explainable and actionable way for business teams thereby driving focus and impact.
Suggest and help build MLOps platform capabilities to improve model delivery velocity. This would require a good grasp of system design concepts and leveraging microservices to build a cohesive and efficient MLOps stack.
Design reporting solutions with clarity on how users will act and create value from the data and AI models; incorporates feedback loop instrumentation into the design.
Drive the adoption of products amongst the user community, increase product satisfaction and drive ACV the impact from Analytics products.
To be successful in this role you have:
Core Skills
Proven track record of using data to drive business decisions including the ability to structure problems for analysis, analyze the data, and provide actionable recommendations through effective and compelling storytelling
Good understanding of MLOps platform design and experience aiding design and build of scalable modeling platforms
Experience with product development and managing agile scrum teams
Experience with Python, R, Azure ML (or similar)
Approach
Exceptional verbal and written communication skills and ability to engage effectively at all levels of the organization, to both technical and non-technical audiences.
Self-starter with a high degree of motivation to go above and beyond the task at hand. Demonstrated passion for connecting the dots, digging deeper to uncover stories and trends in data, with a keen eye for detail.
Demonstrated ability to work collaboratively and effectively across different functions
Domain Expertise
12+ years of experience supporting large sales organizations, ideally at a publicly traded company or exposure to enterprise business processes
Bachelor’s Degree in an analytical field (e.g., Mathematics, Computer Science, Statistics, Engineering, or a related field). Master’s Degree is a big plus.
Should have worked on multiple end-to-end AI/ML solutions (metrics curation to reporting activation) in Analytics product management or data science
FD21
Not sure if you meet every qualification? We still encourage you to apply! We value inclusivity, welcoming candidates from diverse backgrounds, including non-traditional paths. Unique experiences enrich our team, and the willingness to dream big makes you an exceptional candidate!
For positions in this location, we offer a base pay of $181,100 - $316,900, 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. Learn more here (https://www.servicenow.com/content/dam/servicenow-assets/public/en-us/doc-type/other-document/careers/new-world-of-work-personas.pdf) .
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.
From Fortune. ©2024 Fortune Media IP Limited. All rights reserved. Used under license.
We’re not yesterday’s IT department, we're Digital Technology. The world around us keeps changing and so do we. We’re redefining what it means to be IT with a mindset centered on transformation, experience, AI-driven automation, innovation, and growth. We’re all about delivering delightful, secure customer and employee experiences that accelerate ServiceNow’s journey to become the defining enterprise software company of the 21st century. And we love co-creating, using, and highlighting our own products to do it.
Ultimately, we strive to make the world work better for our employees and customers—when you work in ServiceNow Digital Technology, you work for them.
This role combines the responsibilities of a Product Manager, Data Scientist, and Analyst.
As a Product Manager:
Identify the need for new AI-based metric models or enhancements to existing models and take ownership of the end-to-end product management process, while having strong understanding of the technical capabilities.
Partner very closely with data scientists, machine learning engineers, data engineers, business to own the end-to-end lifecycle of AI model development and investigate GenAI usecases and capabilities to create new customer experiences that aid in data backed enterprise decision making.
Develop product roadmaps and strategies that reflect mathematical AI models in a very consumable, explainable and actionable way for business teams thereby driving focus and impact.
Suggest and help build MLOps platform capabilities to improve model delivery velocity. This would require a good grasp of system design concepts and leveraging microservices to build a cohesive and efficient MLOps stack.
Design reporting solutions with clarity on how users will act and create value from the data and AI models; incorporates feedback loop instrumentation into the design.
Drive the adoption of products amongst the user community, increase product satisfaction and drive ACV the impact from Analytics products.
To be successful in this role you have:
Core Skills
Proven track record of using data to drive business decisions including the ability to structure problems for analysis, analyze the data, and provide actionable recommendations through effective and compelling storytelling
Good understanding of MLOps platform design and experience aiding design and build of scalable modeling platforms
Experience with product development and managing agile scrum teams
Experience with Python, R, Azure ML (or similar)
Approach
Exceptional verbal and written communication skills and ability to engage effectively at all levels of the organization, to both technical and non-technical audiences.
Self-starter with a high degree of motivation to go above and beyond the task at hand. Demonstrated passion for connecting the dots, digging deeper to uncover stories and trends in data, with a keen eye for detail.
Demonstrated ability to work collaboratively and effectively across different functions
Domain Expertise
12+ years of experience supporting large sales organizations, ideally at a publicly traded company or exposure to enterprise business processes
Bachelor’s Degree in an analytical field (e.g., Mathematics, Computer Science, Statistics, Engineering, or a related field). Master’s Degree is a big plus.
Should have worked on multiple end-to-end AI/ML solutions (metrics curation to reporting activation) in Analytics product management or data science
FD21
Not sure if you meet every qualification? We still encourage you to apply! We value inclusivity, welcoming candidates from diverse backgrounds, including non-traditional paths. Unique experiences enrich our team, and the willingness to dream big makes you an exceptional candidate!
For positions in this location, we offer a base pay of $181,100 - $316,900, 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. Learn more here (https://www.servicenow.com/content/dam/servicenow-assets/public/en-us/doc-type/other-document/careers/new-world-of-work-personas.pdf) .
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.
From Fortune. ©2024 Fortune Media IP Limited. All rights reserved. Used under license.