Senior Staff Technical Product Owner - FinOps Platform Engineering

Company Description

It all started when engineer Fred Luddy wrote code that automated a tedious task for his coworker, Phyllis. She cried tears of joy. That moment inspired Fred to build a company that could do that for everyone—freeing people from busywork so they could focus on meaningful work. Today, ServiceNow is the AI control tower for business reinvention. Our ServiceNow AI platform brings together any AI, any data, and any workflow— helping 85% of the Fortune 500® work smarter, faster, and better. We're building an AI-native culture where technology and talent are unstoppable together. And we're just getting started.

Join us to put AI to work for people.

Job Description

Team 

Join the FinOps Platform Engineering organization, the team that builds the FinOps Control Tower, ServiceNow's internal platform for cloud cost governance, financial accountability, and unit economics across our multi-cloud estate (AWS, Azure, and GCP). We own the data engineering and business intelligence layers that turn raw multi-cloud billing data into attributed, governed, decision-ready cost information for the people who run ServiceNow's cloud. 

Our users are FinOps practitioners and the engineering, finance, and executive stakeholders they serve. The team brings together data engineers, platform engineers, BI/reporting engineers, and FinOps domain experts. We partner closely with the FinOps practice, who own the FinOps methodology and business strategy, while we own how the platform delivers against it: the data models, the allocation logic, the semantic layer, and the reporting experiences on top. Our key partners span Finance / FP&A, Public Cloud Engineering, AI Platform Engineering, Capacity Planning Engineering, Migration Engineering, Data Engineering, Data Platform, Data Governance, BI / Analytics Engineering, and CMDB / Metadata Management. 

Role 

As Sr Staff Technical Product Owner for FinOps Platform Engineering, you own the product direction for the FinOps Control Tower's cost-and-usage capabilities, with Showback as the flagship and the roadmap extending into allocation maturity, unit economics, and optimization. 

This is a hands-on technical product role embedded in engineering, not a market-facing product management role and not a people-management role. You will own the backlog, translate business requirements into concrete data-product and reporting specifications, sequence the roadmap, and drive adoption. You will set direction for the data engineering and BI teams and direct the technical work (dbt models, SQL transformations, semantic-layer definitions, dashboard design) rather than writing it yourself. You lead through influence and deep technical judgment; you will not have direct reports. 

You'll partner daily with your peer, the FinOps practice lead (who owns the "what should FinOps do"), and own the "how the platform delivers it." You'll also work across Data Governance, the data platform team, and your own data engineers and BI developers. 

A defining part of the mandate: modernizing how we deliver insight. Our platform runs on a modern data stack (Trino, dbt, Apache Iceberg, and Lightdash on AWS), and today much of our reporting lives in static dashboards (with a Tableau-to-Lightdash migration underway). You will drive the evolution toward governed, self-service data apps built on the semantic layer: custom cost experiences that inherit our access controls and row-level security by default, keep every metric definition consistent, and let practitioners and their stakeholders answer their own questions without waiting on a rebuild. Dashboards become a product, not a backlog of one-off report requests. 

This is a unique opportunity to own the cost-intelligence platform for all of ServiceNow's cloud spend, at Fortune 500 scale, with a clear mandate to modernize it. 

What you get to do in this role 

• Own the product vision and roadmap for the FinOps Control Tower's cost-and-usage capabilities, with Showback as the foundation and a clear path through allocation → unit economics → optimization. 

• Define Showback as a product: clear attributed spend by stakeholder, a consistent allocation hierarchy (CSP → BU → SKU → instance), and clean separation of production, non-production, trial, and internal workloads, serving BU-finance cost summaries and platform-team instance-level detail from one source of truth. 

• Drive the modernization from static dashboards to governed data apps on the semantic layer: self-service, access-controlled cost experiences with consistent metric definitions, replacing one-off report requests with a durable data-product surface. 

• Own requirements intake, prioritization, and the backlog across FinOps practitioners, finance leaders, engineering teams, and