Drimva

Palo Alto Networks

Senior IT Product Manager - FinOps AI

$150K–$243K

Office - USA - CA - Headquarters · No · Manager · Full-time · Posted Oct 5, 2026

Experience
8+ years of related experience with a Bachelor's or Master's degree; alternatively, 6 years and a Master’s degree, or a PhD with 3 years experience. Also requires 3+ years of direct product management experience, including 1–2 years launching or supporting enterprise AI/ML or automation solutions.
Education
Bachelor's or Master's degree; alternatives include 6 years and a Master’s degree, or a PhD with 3 years experience.
Visa sponsorship
Immigration sponsorship: Yes

About the job

Executes the Enterprise AI Platform roadmap and delivers AI solutions for Finance, Legal, and Operations, from stakeholder needs and product requirements through launch and outcome measurement.

What you'll do

  • Help define and execute the AI product roadmap and collaborate with G&A teams on solutions for forecasting, operations, and contract reviews.
  • Translate stakeholder needs into product requirements, coordinate cross-functional delivery, and ensure alignment with responsible AI policies.
  • Track success metrics, create documentation, and present progress to stakeholders and project teams.

What they ask for

  • 8+ years of related experience with a Bachelor's or Master's degree, or 6 years and a Master’s degree, or a PhD with 3 years experience.
  • 3+ years of direct product management experience, including 1–2 years launching or supporting enterprise AI/ML or automation solutions.
  • Track record managing product lifecycle work, including user feedback, requirements, prioritization, and post-launch execution.
  • Technical foundation in AI/ML, exposure to LLMs, Generative AI, and MLOps, plus experience delivering projects in cross-functional technical environments.

Nice to have

  • Adaptability and resilience in the fast-moving AI/ML domain.
  • Team-oriented, proactive approach and curiosity for continuous learning.

Pay

$150,300.00 - $243,100.00 USD/year (base salary)

Tools

AI/ML, LLMs, Generative AI, MLOps

AI focus

Deliver enterprise AI solutions for G&A functions, translating user needs into requirements for data pipelines, model training, and AI tooling; support code-based and low-code/no-code approaches and apply responsible AI policies.

Model-written summary · the original posting is authoritative

First seen Oct 28, 2026 · Last verified Nov 6, 2026 (UTC)