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, Senior

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 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

  • The rise of AI model interpretability tools aligns with Together AI's open-source approach.
  • Increasing adoption of AI in edge computing creates opportunities for lightweight model development.
  • Together AI's partnership with Meta for Llama 3.2 Vision model enhances its service offerings.

What critics are saying

  • Advanced AI models like Flux 1.1 Pro could overshadow Together AI's offerings.
  • Meta's free Llama 3.2 Vision model may attract developers away from Together AI.
  • Stricter AI regulations could impose additional compliance costs for Together AI.

What makes Together AI unique

  • Together AI focuses on open-source contributions, unlike many proprietary AI companies.
  • The company offers decentralized cloud services for AI model training and deployment.
  • Together AI's acquisition of CodeSandbox enhances its AI development platform with a code interpreter.

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