Customer Success Engineer (CSE), GPU Cluster
Posted by employer 5 months ago
First seen on Joblaze 5 months ago
Last verified on the company career page 1 day ago
Skills & Technologies
Requirements
- Experience
- 5+ years
Not disclosed in this posting: visa sponsorship.
Benefits
Joblaze summary
In the role of Technical Account Manager at Together AI, the individual will manage the technical relationship for a key enterprise client, ensuring the operational health of large-scale GPU deployments. This position requires deep expertise in GPU infrastructure, networking, and storage systems, along with strong skills in incident management and customer communication. Ideal candidates will have over five years of experience in customer-facing technical roles, particularly in AI or HPC environments. Together AI emphasizes a collaborative approach to AI infrastructure, making this role pivotal in driving both customer success and company growth.
Joblaze insights
- Listed about 5 months ago — first seen on Joblaze May 1, 2026. Last confirmed on Together AI's careers page October 8, 2026.
- Salary band is above the typical range for AI/ML roles (median ~$190,000).
- Starts above 89% of 203 comparable senior ai/ml roles in United States that list Python we track (median $182,000 across 68 companies). See Python salary trends
- Python appears in 52.8% of 538 comparable senior ai/ml roles in United States; Ethernet appears in 0.2% of 538 comparable senior ai/ml roles in United States.
Quick facts
- Is the Customer Success Engineer (CSE), GPU Cluster role remote?
- It's hybrid — Together AI expects some on-site time in San Francisco.
- What's the salary range?
- Together AI lists $260,000–$290,000 for this role.
- How much experience is required?
- At least 5 years of relevant experience for this Customer Success Engineer (CSE), GPU Cluster role.
- Where is the role based?
- Together AI is hiring for this position in San Francisco.
- What's the tech stack?
- Joblaze extracted these technologies from the posting: AI/ML, Ethernet, GPU, Grafana, Infiniband, NVMe.
- What seniority level is this role?
- Together AI targets senior candidates for this position.
- Is this full-time or contract?
- Full-time for this Customer Success Engineer (CSE), GPU Cluster role at Together AI.
From the original posting
About the role
As a Customer Success Engineer at Together AI, you will serve as the named technical owner for one of our most strategic customer relationships. You will be the primary technical point of contact across all infrastructure domains — compute, networking, storage, and facilities — ensuring flawless delivery and operational health of large-scale GPU deployments. This role sits at the intersection of deep infrastructure expertise and high-stakes customer partnership, making you a critical driver of both customer success and company growth.
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 — status reporting, technical steering meetings, quarterly business reviews (QBRs), and executive business reviews (EBRs) — spanning both operational and strategic levels
- Translate customer operational feedback into actionable input for Engineering, Product, and Infrastructure roadmaps
- Lead issue lifecycle management, escalation, and RCA authorship across all infrastructure domains in partnership with Support, SRE, DC Ops, and Engineering teams
- Own end-to-end RMA coordination and hardware lifecycle management, including acceptance testing, spare inventory management, and hardware health reporting for large-scale GPU deployments
- Maintain deep technical expertise across the customer's infrastructure stack — GPU compute, high-speed fabric, and large-scale storage systems — advising on configuration, operational best practices, and incident resolution
- Own the observability strategy for the customer estate, including alert policy definition, dashboard development, and proactive health management across all infrastructure layers
- Coordinate DC operations and facilities events in partnership with internal teams and hosting providers, ensuring SLA compliance and cluster availability
- Act as project manager for all capacity expansions, owning the full node deployment lifecycle from freight receipt through production acceptance
Qualifications
- 5+ years in a customer-facing technical role, with 2+ years in dedicated technical account management or solutions architecture for large-scale AI or HPC infrastructure
- Deep expertise in GPU infrastructure — GPU health diagnostics, RMA workflows, and hardware acceptance testing
- Hands-on experience with large-scale Ethernet and InfiniBand fabric architecture
- Working knowledge of enterprise storage systems, including high-density NVMe, parallel file systems, and metadata infrastructure
- Experience with DC 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 (Prometheus, Grafana, or equivalent)
- Proven ability to manage multiple concurrent workstreams with hyperscaler-level rigor and communication standards
- Proficiency in Python, Bash, or infrastructure automation tools preferred
Compensation
We offer competitive compensation, startup equity, health insurance, and other benefits, as well as flexibility in terms of remote work. The US base salary range for this full-time position is: $260-290K OTE + equity + benefits. Our salary ranges are determined by location, level and role. Individual compensation will be determined by experience, skills, and job-related knowledge.
Location
San Francisco, CA (Hybrid) or New York, NY (Hybrid)
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