Staff AI Analytics Product Manager, ServiceNow
$163.6-286.3k
+ Variable/incentive compensation and ESPP
Cloud-based digital workflows for enterprises
Be an early applicant
Cloud-based digital workflows for enterprises
1001+ employees
Be an early applicant
$163.6-286.3k
+ Variable/incentive compensation and ESPP
1001+ employees
Company mission
To transform IT to revolutionise the enterprise.
Role
Who you are
- This role requires strong sales domain expertise in the SaaS industry, experience with predictive sales metrics, and experience with enterprise reporting product management
- We are looking for a talented person with a strategic viewpoint who can grow and adapt along with our fast-paced business
- The ideal candidate is relentlessly curious, has high diagnostic capability, and is passionate about creating innovative mathematical frameworks to understand trends, set business targets, identify opportunities, and predict business outcomes
- 8+ years of experience within a GTM function (Channel Partnerships or Sales, or Customer Success, (etc.) in a B2B business model
- 8 years of experience in a data-informed field (e.g., Mathematics, Computer Science, Statistics, Engineering, Business, or a related field) is a must
- Prior experience in a Sales / Partner strategy domain is a must
- Proven track record of using data to drive business actions, including the ability to structure problems, interpret the data, and provide actionable recommendations through effective/compelling storytelling
- Must have some direct ‘AI product management’ experience in ideation through activation of Agentic AI solutions to solve revenue unlocking opportunities for GTM
- Experience with Tableau, Power BI (or similar tools/packages) is a must
- Experience with product development and managing agile scrum teams
- Strong SQL skills are desired
- Experience with Python, R, and Azure ML is a plus
- 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
What the job involves
- As we continue our unprecedented growth, the company seeks to further establish its advanced data foundation and capabilities
- We are building a mathematical enterprise for ServiceNow, leveraging all the data signals across the enterprise to guide business actions
- We are increasingly investing in AI models to uncover insights to drive ACV growth for ServiceNow
- The Senior AI Analytics Product Manager (Sales) will be a part of our GTM Sales and Partner Analytics team and a key contributor to fully owning and product managing enterprise AI model development as well as activating the models with sales and partnership teams via intuitive reporting views
- This position will report to the Senior Director, Sales and Partner Analytics
- This person is highly collaborative with cross-functional sales, marketing, strategy, and operations audiences at all levels of the organization
- Be an AI Analytics thought partner to the global Channel Partnerships organization
- Identify opportunities to drive efficiency gains as well as incremental ACV unlock from the global Channel Partnerships business by product managing the development of AI-supported agentic workflows, prediction metrics, and insights
- Partner across the Digital Technology group (Data Scientists, ML Engineers, Data Engineers, Power BI Engineers, Platform Engineers, and others) to product-manage and deliver the AI capabilities
- Work cross-functionally to activate and enable end users to adopt the AI solutions and drive efficiency gains in their day-to-day, as well as drive incremental revenue potential for ServiceNow
- Develop user-centric dashboard/visualization layer prototypes of very high standards; AI Agents/Metrics /Insights should be consumable and actionable for GTM teams, thereby driving focus and impact to net new ACV and pipeline outcomes
- Design reporting solutions with clarity on how users will act and create value from the metric and models; incorporate feedback loop instrumentation into the design
- Bring the promise of data science and machine learning to reality using advanced data foundations for sales, increasing the effectiveness and speed of business strategies
Our take
ServiceNow provides cloud-based solutions that define, structure, manage, and automate services for enterprise operations, transforming old, manual ways of working into modern digital workflows. The company was founded in 2004 with a vision to build a cloud-based platform that would enable regular people to route work effectively through the enterprise.
Much as Salesforce enables a company to manage its external clients by keeping a record of all contacts and interactions, ServiceNow promises an internal system to meet the needs of employees. It has succeeded in claiming half the market, setting itself apart from legacy IT service-management software players like BMC Software, Hewlett Packard Enterprise, Cherwell Software and CA Technologies.
The company's success comes from two product traits: simplicity and customisability. ServiceNow's IT tools don't require the IT department to set them up. Once running, they offer a single collection centre for requests, data points and checklists, all of which can in turn be analysed by algorithms to predict needs, flag concerns and measure efficiency.
The company has more than 7500 customers, including 80% of the Fortune 500 list of the United States' largest corporations. ServiceNow now looks to increase its revenue threefold in upcoming years and has entered into a 5-year partnership plan with Visa, beginning with the launch of a Visa-integrated dispute resolution solution for issuers. The company is prioritising organic growth over mergers and acquisitions, with a target revenue of $15 billion, something which its Visa partnership will no doubt aid in achieving.
Freddie
Company Specialist at Welcome to the Jungle
Insights
16% employee growth in 12 months
Company
Funding (last 2 of 6 rounds)
Mar 2012
$11m
GROWTH EQUITY VC
Feb 2012
$17.9m
GROWTH EQUITY VC
Total funding: $83.8m
Company benefits
- Commuter benefits
- Annual learning stipends
- Work from home opportunities
- Generous family leave
- Matched donations
- Flexible PTO
- 401(k) matching
- Paid volunteer time
Company HQ
Santa Clara, CA
Leadership
Fred Luddy
(Founder & Chairman Of The Board)Previously Software Developer at Amdahl Corporation for 4 years and CTO at Peregrine Systems for 13 years.
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