Company DescriptionIt 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.
Job DescriptionWe'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.QualificationsTo be successful in this role you have: Core SkillsProven 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 storytellingGood understanding of MLOps platform design and experience aiding design and build of scalable modeling platformsExperience with product development and managing agile scrum teamsExperience with Python, R, Azure ML (or similar)ApproachExceptional 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 functionsDomain Expertise12+ years of experience supporting large sales organizations, ideally at a publicly traded company or exposure to enterprise business processesBachelor'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 scienceFD21
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