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Product Manager, Platform - Cloud Infrastructure (Commercial/Federal)

C3 AI· Product Management
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Redwood City, CA$150k - $190kfull-timePosted 4mo ago

About the role

Product Manager responsible for strategy and roadmap to automate deployments of the C3 Agentic AI Platform across C3-managed, customer, and Federal cloud environments, enabling global enterprise and public sector deployment with automated provisioning, multi-cloud coverage, and compliance-driven release pipelines.

Responsibilities

  • Own the product vision for deployment automation — including roadmaps, product specifications, and release planning — working closely with Engineering, Cloud Operations, Product, and Field Operations across all levels of team planning.
  • Define and track leading indicators of deployment performance and reliability, and drive prioritization decisions based on platform metrics, deployment reporting, and operational data.
  • Create and maintain concrete, quantitative, and descriptive profiles of deployment targets and customer environments, including infrastructure configurations, cloud tenancy models, and API and data execution profiles across C3-managed, customer, and Federal clouds.
  • Partner with Cloud Operations, Platform Engineering, Services, and customers to evaluate and continuously improve deployment automation maturity, repeatability, and operational readiness.
  • Drive cross-functional alignment across Engineering, Cloud Operations, Field Operations, Marketing, Sales, and Services, ensuring deployment capabilities are well understood, prioritized, and communicated to all stakeholders.
  • Justify roadmap investments and trade-offs with qualitative and quantitative evidence, including deployment velocity metrics, customer feedback, and operational impact data.
  • Drive the customer-managed deployment experience — including private connectivity, customer-managed keys (CMK/BYOK), IAM federation, network egress controls, and Kubernetes-on-customer-cluster patterns.
  • Set and hold the bar on deployment KPIs — time-to-stand-up a new tenant, deployment success rate, MTTR, and patch latency across the fleet — and feed real deployments back into the roadmap.

Qualifications

  • Bachelor of Science in a STEM field; MBA or Master of Science preferred.
  • 5+ years of product management or technical program management experience, with strong background in cloud infrastructure, deployment automation, and enterprise/public sector environments.
  • Excellent verbal and written communication and presentation skills for executive and engineering audiences.
  • Strong problem-solving skills and bias for action, able to navigate business and technical domains.
  • Deep understanding of modern cloud platforms and compute technologies (Kubernetes, Apache Spark, Azure, AWS, GCP) and Federal cloud environments (AWS GovCloud, Azure Government); fluent in Kubernetes networking, identity, multi-tenant isolation; hands-on familiarity with at least one cloud deployment-architect level (VPC, IAM, KMS/HSM, private endpoints).
  • Technical proficiency with distributed systems, relational databases, and key-value stores.
  • Familiarity with AI/ML platform deployment, agentic AI frameworks, or enterprise SaaS deployment models (a strong plus).
  • Experience owning Infrastructure-as-Code, GitOps, or CI/CD tooling (Terraform, Helm, ArgoCD/Flux, Crossplane, Tekton, etc.) with a viewpoint on release engineering for commercial vs Federal pipelines.
  • Strong plus: experience deploying agentic/LLM workloads into regulated or air-gapped environments where frontier model APIs are unavailable.
  • U.S. citizenship required for Federal engagements; existing/ability to obtain U.S. government security clearance (Public Trust, Secret, or higher) is a strong plus.

Skills

Required:Deployment automationCloud platformsKubernetesInfrastructure as Code

Benefits

  • C3 AI provides excellent benefits, a competitive compensation package and generous equity plan.
Last updated Jul 9, 2026. Interested? Apply on the company site.

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