Senior Staff Inbound Product Manager - RaptorDB

ServiceNow•Santa Clara, CA

43d•Hybrid

About The Position

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.

Requirements

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.

Responsibilities

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.
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.
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.