Job DescriptionAbout the Team:RaptorDB is ServiceNow's next-generation HTAP (Hybrid Transactional/Analytical Processing) database platform-launched in 2024 and rapidly becoming foundational to our platform's performance, scalability, and intelligence. ServiceNow customers work with a massive and diverse set of data to enable intelligent workflows across their businesses. Our vision is to evolve RaptorDB into a full multi-modal data platform and provide a comprehensive set of data and compute services for the variety of data customers use in their workflows.
About the Role:ServiceNow is seeking a highly technical and customer-obsessed Senior Principal Inbound Product Manager (Data Platform, Databases) to join the RaptorDB product team.
This role focuses on expanding the analytical modality for Raptor to ensure ServiceNow customers can extract maximum insights from their data. You will own the strategy and execution for analytical workloads across semi-structured and unstructured data, helping evolve RaptorDB into a true multi-modal data platform.
You will work at the intersection of infrastructure, analytics, AI, and enterprise workflows - a combination that doesn't exist anywhere else in the market. If you've spent your career watching the divide between analytical platforms and systems of action and wondering why nobody has solved it properly, this is the role where you get to do that.
Successful candidates will be able to navigate complex technologies and translate their usage into outsized value for our customers, partners, and internal business units.
What You'll Own: Platform Strategy and Roadmap- Define the 12-month and 3-year product direction for Raptor's analytical modality, including medallion compute tiers, query engines, unstructured data pipelines, and data serving layers.
- Drive product vision and strategy that positions the platform to scale with ServiceNow's long-term growth.
- Define next-generation user flows and platform experiences for analytical workloads.
- Collaborate with customers, researchers, architects, and engineering teams to develop and validate innovative product ideas.
Platform Capabilities and Engineering Execution- Drive workload management and related capabilities; work with early access customers to understand use cases and collaborate with engineering to prioritize the features that will deliver on them.
- Gather, prioritize, and define requirements (while actively grooming the backlog) into executable epics and user stories for engineering.
- Collaborate with the engineering team on release management to understand status, risks, and dependencies, and help resolve issues.
- Establish and maintain relationships with other BUs to evaluate and manage cross-BU dependencies; create feature plans for each release including acceptance criteria, use cases, success metrics, and related documentation.
Customer Engagement and Insights- Serve as the primary product voice with field teams at ServiceNow's enterprise customers - translating analytical requirements into platform roadmap inputs and distinguishing platform capabilities from account-specific configuration.
- Collaborate with the outbound team to build field-ready positioning around this modality's differentiation.
- Know customers intimately, their specific use cases, gains, and pains, and understand use cases by BU to better serve internal customers.
- Define key product success metrics and ensure they are instrumented and reviewed.
QualificationsTo be successful in this role you have:- Experience in leveraging or critically thinking about how to integrate AI into work processes, decision-making, or problem-solving. This may include using AI-powered tools, automating workflows, analyzing AI-driven insights, or exploring AI's potential impact on the function or industry.
- 12+ years of experience in Product Management or equivalent experience in a technical role such as software development or SRE, shipping software used by other enterprises.
- Strong domain expertise in enterprise databases, analytical platforms, or distributed data systems.
- Experience with platforms such as Snowflake, BigQuery, Redshift, Teradata, Synapse, Microsoft Fabric, or Salesforce Data Cloud.
- Experience working across analytics, AI/ML, data processing, and business intelligence ecosystems.
- Strong prioritization skills and the discipline to focus on high-impact initiatives.
- Experience defining product requirements and translating them into scalable product roadmaps.
- Deep curiosity about customer needs and a track record of building customer-centric solutions.
- Ability to engage deeply with engineering teams on architecture, performance, scale, and technical tradeoffs while also effectively communicating strategy and vision to executives and customers.
- Experience partnering directly with enterprise customers and field organizations to shape platform strategy and roadmap direction.
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For positions in this location, we offer a base pay of $171,900 - $300,800 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.
Additional InformationWork PersonasWe 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.
