Customer Success Engineer (CSE), GPU Cluster
$260k - $290k • San Francisco
Posted 24d ago
Job Location
San Francisco
Tech Stack
Remote Work Policy
On-site
Categories
Applied AI Engineer
About the job
As a Customer Success Engineer at Together AI, you will be the named technical owner for one of our most strategic customer relationships. You will serve as the primary technical point of contact across all infrastructure domains, including compute, networking, storage, and facilities, ensuring the flawless delivery and operational health of large-scale GPU deployments. This role is crucial for driving both customer success and company growth by combining deep infrastructure expertise with high-stakes customer partnerships.
Responsibilities
- Serve as the named technical point of contact for a dedicated strategic customer, owning the end-to-end technical relationship across compute, networking, storage, and facilities.
- Drive structured engagement through regular cadences, including status reporting, technical steering meetings, and business/executive reviews.
- Translate customer operational feedback into actionable input for Engineering, Product, and Infrastructure roadmaps.
- Lead issue lifecycle management, escalation, and root cause analysis authorship across all infrastructure domains.
- Own end-to-end RMA coordination and hardware lifecycle management for large-scale GPU deployments.
- Maintain deep technical expertise across the customer's infrastructure stack, advising on configuration, operational best practices, and incident resolution.
- Own the observability strategy for the customer estate, including alert policy definition and dashboard development.
- Coordinate data center operations and facilities events, ensuring SLA compliance and cluster availability.
- Act as project manager for all capacity expansions, owning the full node deployment lifecycle.
Requirements
- 5+ years in a customer-facing technical role, with 2+ years in technical account management or solutions architecture for large-scale AI or HPC infrastructure.
- Deep expertise in GPU infrastructure, including diagnostics, RMA workflows, and hardware acceptance testing.
- Hands-on experience with large-scale Ethernet and InfiniBand fabric architecture.
- Working knowledge of enterprise storage systems.
- Experience with data center operations, facilities coordination, and hosting provider SLA management.
- Strong ownership mindset for incident management, RCA authorship, and executive-level customer communication.
- Proficiency in infrastructure monitoring and observability tooling (e.g., Prometheus, Grafana).
- Proven ability to manage multiple concurrent workstreams with hyperscaler-level rigor.
- Proficiency in Python, Bash, or infrastructure automation tools preferred.
Benefits
- Competitive compensation
- Startup equity
- Health insurance
- Flexibility in terms of remote work