Customer Support Engineer (Inference)

Together AI
San Francisco, US
On-site

Who this role is best for

Best suited to mid-level technical professionals with AI/ML expertise and customer-facing experience, working in a fast-paced, collaborative environment in San Francisco.

Best fit for

  • Technical problem-solvers with AI/ML and GPU expertise in customer-facing roles.
    — “Strong technical background, with knowledge of AI, ML, GPU technologies
  • Professionals adept at cross-functional collaboration and driving customer success.
    — “Ability to work cross-functionally with teams such as Sales, Engineering, Support, Product and Research
  • Candidates comfortable with dynamic environments and frequent context switching.
    — “Ability to operate in dynamic environments, adept at managing multiple projects

Things to consider

  • Flexibility required for support coverage during holidays, nights, and weekends.
    — “Be flexible in providing support coverage during holidays, nights and weekends
  • Must maintain detailed documentation and troubleshooting guides.
    — “Maintain detailed documentation of system configurations, procedures, troubleshooting guides

How to stand out

  • Highlight experience with Kubernetes, SLURM, or Ansible in resume.
    — “Familiarity with infrastructure services (e.g., Kubernetes, SLURM), infrastructure as code solutions
  • Showcase Python, TypeScript, or JavaScript debugging skills.
    — “Strong knowledge of Python, TypeScript, and/or JavaScript with testing/debugging experience
  • Demonstrate ability to translate customer insights into product improvements.
    — “Transform customer insights into action by identifying patterns in support cases
Pace · Fast PacedCollaboration · HighAutonomy · MediumDecision Impact · TeamLevel · Mid

Derived from job-description analysis by Serendipath's career intelligence engine.

What success looks like

  • customer satisfaction
  • product documentation
  • cross-functional collaboration
Typical background
AIMLHPC

Skills & requirements

Required

AIMLGPU TechnologiesKubernetesSlurmAnsiblePythonTypeScriptJavaScriptCurlPostmanCompute ClustersTechnical Problem Solving

Preferred

Customer SuccessProduct Expertise

Stack & domain

AIMLGpuKubernetesSlurmAnsibleNfsContainer InfrastructureScriptingPythonTypeScriptJavaScriptCurlPostmanCompute ClustersNetwork-related ErrorsStorage SystemsHpcVastWekaCommunicationTeamworkProblem-solvingAttention To DetailTime ManagementLeadershipCustomer SupportInferenceFine-tuning

About the role

Original posting from Together AI via Greenhouse

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 GPU clusters and our inference and fine-tuning services; ensure swift and effective solutions every time.

Become a product expert in all of our Gen AI solutions, 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

5+ years of experience in a customer-facing technical role with at least 1 year in a support function in AI 

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.

Familiarity with operating storage systems in HPC environments such as Vast and Weka

Familiarity with inspecting and resolving network-related errors 

Strong knowledge of Python, TypeScript, and/or JavaScript with testing/debugging experience using curl and Postman-like tools

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 is a research-driven artificial intelligence company. We believe open and transparent AI systems will drive innovation and create the best outcomes for society, and together we are on a mission to significantly lower the cost of modern AI systems by co-designing software, hardware, algorithms, and models. We have contributed to leading open-source research, models, and datasets to advance the frontier of AI, and our team has been behind technological advancement such as FlashAttention, Hyena, FlexGen, and RedPajama. We invite you to join a passionate group of researchers in our journey in building the next generation AI infrastructure. 

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: $160,000-230,000K + equity + benefits. 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

Source: Together AI careers (Greenhouse)

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