AI Product Owner: Enterprise Agentic Systems

Quantiphi, Inc.; United States; Remote; USD 170,000 - 230,000; Full time

Benefits offered by this job

Hybrid work culture

Job summary

Quantiphi, Inc. seeks a seasoned Product Owner to shape and drive an AI/ML innovation roadmap, bridging cutting-edge research and enterprise execution. You will translate frontier AI concepts into structured product requirements and lead cross-functional teams in a SAFe framework.

In this role, you will collaborate with researchers, data engineers, cloud architects, and executives to move concepts from POC to production on cloud-native infrastructure and maintain scalable, secure deployments.

Qualifications

• 10–12 years in product leadership for technical/data products.
• Experience in SAFe environments and agile backlog management.
• Strong track record translating AI research into product epics and stories.

Responsibilities

• Define and execute vision and roadmap for AI/ML initiatives.
• Pri oritize innovation backlog balancing risk, viability and impact.
• Translate AI concepts into user stories and specs for engineers.
• Collaborate with system architects to ensure scalable, secure deployments on GCP/Kubernetes.
• Drive CI/CD automation and metrics to measure model reliability and cost.

Skills

Product Owner experience

Technical product management

SAFe / Agile

AI/ML product knowledge

GCP / Kubernetes

CI/CD with GitHub Actions

Stakeholder management

Education

Bachelor's degree or higher in a relevant field

Tools

Google Cloud Platform

Kubernetes (GKE)

GitHub Actions

Job description

Quantiphi, Inc. seeks a seasoned Product Owner to shape and drive an AI/ML innovation roadmap, bridging cutting-edge research and enterprise execution. You will translate frontier AI concepts into structured product requirements and lead cross-functional teams in a SAFe framework.

In this role, you will collaborate with researchers, data engineers, cloud architects, and executives to move concepts from POC to production on cloud-native infrastructure and maintain scalable, secure deployments.