Jobs / Ser***

Senior Staff Technical Product Owner - FinOps Platform Engineering

Ser*** · Santa Clara, CA, United States
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Santa Clara, CA, United States190,900-334,100 USD/yearlyRemote
Remuneration
190,900-334,100 USD/yearly
Location
Santa Clara, CA, United States
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Job summary

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.

Benefits

Sales positions generally offer a competitive On Target Earnings (OTE) incentivePlease note that the base pay shown is a guideline, and individual total compens

Qualifications

  • 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.
  • 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).
  • 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 Ser***'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.
  • intake, prioritization, and the backlog across FinOps practitioners, finance leaders, engineering teams, and executives, turning ambiguous asks into sequenced, shippable work.
  • Define the data-product and semantic-layer specification: cost metrics (e.g., Net Effective Cost, actual vs.
  • forecast), allocation logic, and the dimensional model (BU, SKU, instance, customer/workload), translating business

Responsibilities

  • You will own the backlog, translate business

Skills

EnglishLeadership

Certifications

Product Owner

Degrees

Associate

Languages

English

Work schedule

Shift

Industry

AutomotiveLogisticsMediaPublic-sector

Company size

EnterpriseSmb