C3 AI
Product Manager, Platform - Cloud Infrastructure (Commercial/Federal)
Redwood City, California, United States
No sponsorship$53k-$800kDetected 41 days ago
Distributed SystemsVector DatabasesAWSGCPAzureCloud PlatformsKubernetesTerraformHelmCI/CDPlatform EngineeringMachine LearningSparkLLMsAgentic AIProduct ManagementProduct StrategyLeadershipCommunicationProblem Solving
About the role
- C3 AI (NYSE: AI), is the Enterprise AI application software company.
- California Base Pay Range $150,000 - $190,000 USD C3 AI is proud to be an Equal Opportunity and Affirmative Action Employer.
Responsibilities
- Define and track leading indicators of deployment performance and reliability, and drive prioritization decisions based on insights from 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.
- 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.
- 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 - so a customer can stand up and operate C3 in their own VPC with the same reliability bar as C3-managed SaaS.
- Set and hold the bar on deployment KPIs - for example, time-to-stand-up a new tenant, deployment success rate, mean-time-to-recover for failed rollouts, and patch latency across the fleet - and partner with Forward Deployed Engineering on the feedback loop from real customer deployments back into the platform roadmap.
Requirements
- 5+ years of product management or technical program management experience, with a strong background in cloud infrastructure, deployment automation, and enterprise or public sector environments.
- Excellent verbal and written communication and presentation skills, with the ability to convey complex technical concepts to both executive and engineering audiences.
- Deep understanding of modern cloud platforms and compute technologies, including Kubernetes, Apache Spark, Azure, AWS, GCP, and experience with Federal cloud environments such as AWS GovCloud or Azure Government.
- Working fluency with Kubernetes networking, identity, and multi-tenant isolation patterns is required
- Technical proficiency with distributed systems, relational databases, and key-value stores, with the ability to read and understand code and architecture diagrams, though not expected to function as an engineer.
- Strong problem-solving skills and bias for action - able to navigate both business and technical domains and provide clear guidance to internal and external implementation teams.
- Deep understanding of modern cloud platforms and compute technologies, including Kubernetes, Apache Spark, Azure, AWS, GCP, and experience with Federal cloud environments such as AWS GovCloud or Azure Government. Working fluency with Kubernetes networking, identity, and multi-tenant isolation patterns is required
- hands-on familiarity with at least one of AWS, Azure, or GCP at the deployment-architect level (VPC design, IAM, KMS/HSM, private endpoints) is expected.
- Demonstrated product ownership of Infrastructure-as-Code, GitOps, or CI/CD tooling (Terraform, Helm, ArgoCD/Flux, Crossplane, Tekton, or similar), with a clear point of view on how release engineering should differ between commercial SaaS and Federal pipelines.
- Strong plus: experience deploying agentic or LLM-powered workloads - model serving, retrieval/vector stores, tool/MCP integrations, eval and guardrail pipelines - into regulated or air-gapped environments where commercial frontier model APIs are not available.
- U.S. citizenship is required to support Federal customer engagements. Existing or ability to obtain a U.S. government security clearance (Public Trust, Secret, or higher) is a strong plus.
Nice to have
- Familiarity with NIST 800-53 and CMMC is expected.
- Candidates must be authorized to work in the United States without the need for current or future company sponsorship.
- C3 AI is proud to be an Equal Opportunity and Affirmative Action Employer.
- We do not discriminate on the basis of any legally protected characteristics, including disabled and veteran status.
- U.S. citizenship is required to support Federal customer engagements.
- Existing or ability to obtain a U.S. government security clearance (Public Trust, Secret, or higher) is a strong plus.
- Bachelor of Science in a STEM field
- MBA or Master of Science preferred.
Compensation
- C3 AI provides excellent benefits, a competitive compensation package and generous equity plan.
Company info
- AI), is the Enterprise AI application software company.
- C3 AI delivers a family of fully integrated products including the C3 Agentic AI Platform, an end-to-end platform for developing, deploying, and operating enterprise AI applications, C3 AI applications, a portfolio of industry-specific SaaS enterprise AI applications that enable the digital transformation of organizations globally, and C3 Generative AI, a suite of domain-specific generative AI offerings for the enterprise.
- Partner with Cloud Operations, Platform Engineering, Services, and customers to evaluate and continuously improve deployment automation maturity, repeatability, and operational readiness.
Visa & Work Authorization
- Candidates must be authorized to work in the United States without the need for current or future company sponsorship.
This listing is sourced directly from C3 AI's careers page and normalized into a canonical job model.