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Listed location: San Francisco
Work arrangement: onsite. A remote label does not confirm worldwide eligibility or visa sponsorship.
Read the employer’s description for qualifications, compensation and work eligibility. Confirm the position is still open on the application page.
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Job Description
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)
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
Skills mentioned
Categories
Frequently asked questions
Is the Customer Success Engineer (CSE), GPU Cluster position at Together AI remote?
The Customer Success Engineer (CSE), GPU Cluster role at Together AI does not have a confirmed remote arrangement in our data. Check the employer description for its work location.
What type of employment is the Customer Success Engineer (CSE), GPU Cluster role?
Together AI is hiring for a full-time Customer Success Engineer (CSE), GPU Cluster position.
Which skills are mentioned for the Customer Success Engineer (CSE), GPU Cluster job at Together AI?
Detected skill labels include Python, Reinforcement Learning, GPU. Check the employer description to distinguish required skills from preferred experience.
How do I apply for the Customer Success Engineer (CSE), GPU Cluster position at Together AI?
You can apply for the Customer Success Engineer (CSE), GPU Cluster role directly through Together AI's official application link provided on this page.
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