Customer Success Engineer (CSE), GPU Cluster
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The 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
About Together AI
Together AI, the AI Native Cloud, is purpose-built for AI engineers. AI application developers get high-performance inference that scales reliably, fine-tuning and reinforcement learning for creating frontier-level specialized models, and pre-training at massive scale for fully custom intelligence, all around a marketplace of leading open models that teams can run, adapt, and own. Trusted by Cursor, Decagon, ElevenLabs, Salesforce, and Zoom, Together serves 400+ trillion tokens a month.
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)
Application Policy
Please read each role carefully and apply to the position best suited to you. Candidates are limited to 6 applications within a 90-day period, and applications beyond that limit will be automatically rejected. You may apply to additional roles 90 days after your last application.
Equal Opportunity
Together AI is an Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more.
Please see our Privacy Policy at https://www.together.ai/privacy
Taken from Together AI's own posting, last seen live on 13 Nov 2026.
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The application
Your details, CV and LinkedIn, then 3 questions.
- 1.Are you willing to work four days per week in our San Francisco office?Short answer
- 2.Are you legally authorized to work in the country where the job is located?Yes or no
- 3.Will you now or in the future require company sponsorship to retain or extend your work authorization in the country where the job is located?Pick one
From Together AI's apply page, checked 12 Nov 2026.
About Together AI
A cloud for AI builders: serverless and dedicated inference for open models, fine-tuning and post-training, and GPU clusters, sold to AI-native startups and enterprises.
Pay schedule: Base plus variable stated as OTE on the customer-facing seats, with startup equity, health insurance and other benefits; the US account executive seat is hybrid in the Bay Area, and the company caps how many applications one candidate may send in a set period.
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