Senior Manager, AI Platform & Delivery
On-siteChicago, Illinois, United States
Job Summary
Lead strategy, roadmap, and operations for enterprise AI platforms (Claude Enterprise, Gemini Enterprise) on Google Cloud, managing plugins, connectors, and the internal marketplace ecosystem. Own the software delivery platform end-to-end, including CI/CD pipelines, GitOps workflows, and deployment orchestration to ensure reliable, secure, and progressive delivery to engineering teams. Lead a team of AI Platform and Delivery engineers through hiring, performance management, and career development while setting technical direction and driving delivery performance across workstreams. Balance hands-on architectural decision-making with people leadership to foster a high-trust culture. Report to the Senior Director of Platform Engineering within the broader Platform Engineering organization. Based in the Chicago area with a hybrid schedule.
Required Qualifications
- 8+ years in platform engineering, DevOps, SRE, MLOps, cloud, or a related software/infrastructure discipline
- 2–3+ years directly managing or leading engineering teams
- Demonstrated success building, leading, and growing high-performing engineering teams
- Strong technical foundation: Google Cloud (GCP), containers and orchestration (Docker, Kubernetes), and infrastructure-as-code (Terraform or similar)
- Strong grasp of modern CI/CD and continuous delivery — pipeline design (GitLab CI or equivalent), GitOps (ArgoCD or similar), and deployment orchestration / progressive delivery (Spinnaker or similar)
- Experience operationalizing AI/LLM or data/ML workloads in production — or a strong infrastructure foundation and clear eagerness to lead in the AI space
- Working knowledge of how LLMs and AI APIs are used in applications (prompting, RAG, embeddings, tool/function calling, agents)
- Track record of owning strategy and roadmap, setting priorities, and driving delivery across multiple workstreams
- Excellent written and verbal communication and stakeholder-management skills
- Solid grasp of operational best practices, monitoring/observability, and cost governance
- Based in (or willing to relocate to) the Chicago area and able to work onsite/hybrid
- Degree in Computer Science, Engineering, or a related field — or equivalent practical experience
Desired Qualifications
- Direct experience with Claude Enterprise; deployment, administration, onboarding, plugins, connectors, or MCP
- Experience with Gemini Enterprise and/or the Gemini Enterprise Agent Platform (formerly Vertex AI) — Agent Builder/Agent Engine, Agent Garden, Model Garden, RAG/Vector Search
- Experience leading AI enablement, governance, or practical AI programs across an organization
- Experience managing a plugin/extension ecosystem or an internal app/agent marketplace
- Background partnering with FinOps to drive cloud and AI cost visibility and accountability
- Experience building or scaling internal developer platforms or developer-experience functions
- Direct, hands-on experience operating GitOps and continuous delivery at scale — ArgoCD, Spinnaker, GitLab / GitLab CI, and Argo Rollouts or Flux — across Kubernetes (GKE) and serverless (Cloud Run)
- Familiarity with DORA metrics and a track record of measurably improving software delivery performance
- Experience managing vendors and partner relationships with cloud and AI providers
- Familiarity with our stack: Google Cloud / BigQuery, Atlassian (Jira/Confluence), incident.io, Grafana/OTEL, Sentry, Microsoft 365
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