Full-Time

Customer Support Engineer

Confirmed live in the last 24 hours

Together AI

Together AI

51-200 employees

Decentralized cloud services for AI development

Enterprise Software
AI & Machine Learning

Compensation Overview

$160k - $230kAnnually

+ Equity + Benefits

Mid

San Francisco, CA, USA

Hybrid position requiring in-office presence.

Category
Customer Support
Customer Success & Support
Required Skills
Kubernetes
Ansible
Requirements
  • 3+ years of experience in a customer-facing technical role, such as Technical Account Manager, Solutions Architect, or similar.
  • Strong technical background, with knowledge of AI, ML, GPU technologies and their integration into high-performance computing (HPC) environments.
  • 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.
  • 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.
  • Foundation in the installation, configuration, administration, troubleshooting, and securing of compute clusters.
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 craft scalable, long-term solutions.
  • 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 and weekends as required by business needs to ensure consistent and reliable service for our customers.

Together AI focuses on enhancing artificial intelligence through open-source contributions. The company offers decentralized cloud services that allow developers and researchers from various organizations to train, fine-tune, and deploy generative AI models. Their services cater to a wide range of clients, including small startups, large enterprises, and academic institutions. Together AI's business model is based on providing cloud-based solutions that support the development and deployment of AI models, generating revenue through service subscriptions and usage fees. The company stands out from its competitors by emphasizing open and transparent AI systems, which fosters innovation and aims to achieve beneficial outcomes for society.

Company Stage

Series A

Total Funding

$222.3M

Headquarters

Menlo Park, California

Founded

2022

Growth & Insights
Headcount

6 month growth

69%

1 year growth

134%

2 year growth

617%
Simplify Jobs

Simplify's Take

What believers are saying

  • Recent $106M funding round boosts Together AI's R&D and growth potential.
  • Partnership with Meta enhances Together AI's access to cutting-edge AI models.
  • FlashAttention-3 development improves AI model efficiency on Nvidia GPUs.

What critics are saying

  • Free access to Meta's Llama 3.2 may impact Together AI's revenue model.
  • Advancements in edge AI could reduce demand for cloud-based solutions.
  • Global AI regulations may increase compliance costs for Together AI.

What makes Together AI unique

  • Together AI focuses on open-source contributions, fostering innovation and collaboration.
  • The company offers decentralized cloud services for AI model training and deployment.
  • Together AI's commitment to transparency sets it apart in the AI industry.

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