The job, in the employer's words
About the Role
As a Customer Support Engineer at a pioneering AI company, you'll be the first line of defense to support customers as they build out training, fine tuning, and inference solutions with Together AI. You'll dive deep into complex technical challenges, providing swift and effective solutions while serving as a product expert. As a part of the Customer Experience organization, you will collaborate closely with product and sales, driving continuous improvement of our offerings. This is an exciting opportunity for a deeply technical professional passionate about AI and customer success to make a significant impact in a fast-paced, innovative environment.
Responsibilities
- Engage directly with customers to tackle and resolve complex technical challenges involving our cutting-edge Kubernetes GPU clusters; ensure swift and effective solutions every time.
- Become a product expert in our GPU Cluster service, serving as the last line of technical defense before issues are escalated to Engineering and Product teams.
- Collaborate seamlessly across Engineering, Research, and Product teams to address customer concerns; collaborate with senior leaders both internally and externally to ensure the highest levels of customer satisfaction.
- Transform customer insights into action by identifying patterns in support cases and working with Engineering and Go-To-Market teams to drive Together’s roadmap (e.g., future models to support)
- Maintain detailed documentation of system configurations, procedures, troubleshooting guides, and FAQs to facilitate knowledge sharing with team and customers.
- Be flexible in providing support coverage during holidays, nights and weekends as required by business needs to ensure consistent and reliable service for our customers.
Requirements
- 3+ years of experience in a customer-facing technical role with at least 1 year in a support function in AI or supporting a mission-critical API in SaaS
- Strong technical background, with knowledge of AI, ML, GPU technologies and their integration into high-performance computing (HPC) environments.
- Familiarity with infrastructure services (e.g., Kubernetes, SLURM), infrastructure as code solutions (e.g., Ansible) high-performance network fabrics, NFS-based storage management, container infrastructure, and scripting and programming languages.
- Foundational understanding in the installation, configuration, administration, troubleshooting, and securing of compute clusters.
- Complex technical problem solving and troubleshooting, with a proactive approach to issue resolution
- Ability to work cross-functionally with teams such as Sales, Engineering, Support, Product and Research to drive customer success.
- Strong sense of ownership and willingness to learn new skills to ensure both team and customer success.
- Excellent communication and interpersonal skills, with the ability to explain complex technical concepts to non-technical stakeholders.
- Ability to operate in dynamic environments, adept at managing multiple projects, and comfortable with frequent context switching and prioritization.
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.
Working Schedule
This position operates on a non-standard workweek to support business needs. The schedule will be either Saturday–Wednesday or Wednesday–Sunday, with two weekly off days.
Compensation
We offer competitive compensation, startup equity, health insurance, and other benefits, as well as flexibility in terms of remote work for the respective hiring region. Our salary ranges are determined by location, level and role. Individual compensation will be determined by experience, skills, and job-related knowledge.
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.
Benefits mentioned
- We offer competitive compensation, startup equity, health insurance, and other benefits, as well as flexibility in terms of remote work for the respective hiring region. Our salary ranges are determined by location, level and role. Individual compensation will be determined by experience, skills, and job-related knowledge.
Requirements mentioned
- 3+ years of experience in a customer-facing technical role with at least 1 year in a support function in AI or supporting a mission-critical API in SaaS
- Strong technical background, with knowledge of AI, ML, GPU technologies and their integration into high-performance computing (HPC) environments.
- Familiarity with infrastructure services (e.g., Kubernetes, SLURM), infrastructure as code solutions (e.g., Ansible) high-performance network fabrics, NFS-based storage management, container infrastructure, and scripting and programming languages.
- Foundational understanding in the installation, configuration, administration, troubleshooting, and securing of compute clusters.
- Complex technical problem solving and troubleshooting, with a proactive approach to issue resolution
- Ability to work cross-functionally with teams such as Sales, Engineering, Support, Product and Research to drive customer success.
- Strong sense of ownership and willingness to learn new skills to ensure both team and customer success.
- Excellent communication and interpersonal skills, with the ability to explain complex technical concepts to non-technical stakeholders.
- Ability to operate in dynamic environments, adept at managing multiple projects, and comfortable with frequent context switching and prioritization.
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