Senior Manager
Job in
Pleasanton, Alameda County, California, 94566, USA
Listed on 2026-07-14
Listing for:
MeeruAI
Full Time
position Listed on 2026-07-14
Job specializations:
-
IT/Tech
Cloud Computing: Infrastructure & Operations, SRE/Site Reliability
Job Description & How to Apply Below
Job title:
Senior Manager, (Engineering – Forward Deployment)
Location:
Pleasanton, CA (Hybrid – 3 days onsite) Duration:
Full-time Role Overview
Meeru AI is seeking a Senior Manager, Engineering – Forward Deployment to lead customer deployments of our AI-native platform across AWS, Azure, and GCP. You will manage a team of deployment engineers, own customer implementation success, and work closely with Product, Engineering, Sales, and Customer Success to deliver secure, scalable, production-ready AI solutions.
Key Responsibilities- Lead end-to-end deployment and implementation of Meeru AI's platform in customer cloud environments.
- Manage and mentor the Forward Deployment Engineering team.
- Architect and optimize multi-cloud deployment frameworks using Infrastructure as Code.
- Oversee deployment of AI/ML applications, Kubernetes, GPU workloads, and cloud-native services.
- Troubleshoot complex deployment, networking, IAM, and infrastructure issues.
- Partner with Product, Engineering, Sales, and Customer Success to ensure successful customer onboarding and delivery.
- Drive automation, deployment best practices, security, compliance, and operational excellence.
- 10+ years of software/infrastructure engineering with 3+ years of engineering management.
- Hands‑on experience with AWS, Azure, and/or GCP (expertise in at least two clouds).
- Strong experience deploying enterprise SaaS or AI/ML applications in customer environments.
- Deep knowledge of Kubernetes, Terraform, Helm, CI/CD, Infrastructure as Code, and cloud networking.
- Experience with AI/ML infrastructure, model serving, GPU environments, and production deployments.
- Excellent customer‑facing, leadership, and stakeholder management skills.
- Experience in Forward Deployment, Solutions Engineering, Professional Services, Platform Engineering, or SRE.
- Startup or high‑growth company experience.
- Knowledge of cloud security and compliance frameworks (SOC 2, FedRAMP, HIPAA).
- Experience with ML orchestration platforms such as Ray, Kubeflow, or vLLM.
Position Requirements
10+ Years
work experience
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