Conversational agent platform delivers exceptional CX at a lower cost. Unifies systems, integrates knowledge sources and enables actions for 50+ customers. Backed by Lux.
About the role
We’re looking for a DevOps Manager to lead and evolve the infrastructure powering Maven AGI’s AI platform. You will manage and scale a high-performing infrastructure team while helping ensure our systems remain reliable, secure, and scalable across cloud and on-premises environments.
What they're looking for
- 7+ years of professional DevOps/SRE/Infrastructure experience
- 3+ years of experience managing teams
- Deep expertise with Kubernetes in production (AKS, EKS, or GKE)
- Strong infrastructure-as-code skills (Pulumi, Terraform, or Bicep)
- Experience operating CI/CD systems (GitHub Actions, ArgoCD, or Jenkins)
- Proficiency in at least one scripting/programming language (Python, Go, TypeScript, or Bash)
More about this role
Maven AGI is an enterprise AI platform founded in July 2023 by executives from HubSpot, Google, and Stripe. We build conversational AI agents for autonomous customer support at scale. Our platform unifies fragmented systems, integrates knowledge sources, and enables intelligent actions without costly infrastructure changes.
Our team includes talent from Google, Meta, Amazon, Microsoft, and Stripe, with advisors from OpenAI, Google, HubSpot, and Stripe.
We’re looking for a DevOps Manager to lead and evolve the infrastructure powering Maven AGI’s AI platform. You will manage and scale a high-performing infrastructure team while helping ensure our systems remain reliable, secure, and scalable across cloud and on-premises environments.
This is a technical leadership role that combines people management, operational ownership, and strong infrastructure judgment. You will partner closely with engineering leaders and technical leads to translate business and customer requirements into clear infrastructure priorities and execution plans.
You will also work directly with enterprise customers to understand complex deployment requirements, particularly for private-cloud and on-premises...
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