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Together AI is seeking a Technical Support Engineer to serve as the first line of defense for customers building AI training, fine-tuning, and inference solutions on the Together AI platform. This role sits within the Customer Experience organization and bridges technical expertise with customer success.
You will triage and respond to inbound support tickets from self-serve and enterprise customers, identifying patterns in issues and surfacing them to engineering with full context. You'll draft clear status updates and maintenance notifications during planned maintenance or incidents, ensuring customers understand impact without exposing internal details.
Key responsibilities include:
- Managing support tickets via CRM platforms and following issues through to resolution
- Answering technical questions about the platform's API, model workflows, fine-tuning, model availability, and deployment configuration
- Reproducing reported errors to confirm behavior and provide actionable next steps
- Provisioning and configuring SSO connections (Google Workspace, Okta, Azure AD) for enterprise customers, including diagnosing login failures
- Triaging customer billing questions using billing/subscription tools (Stripe, Metronome, etc.), processing refunds, and investigating credit/balance issues
- Resolving API key creation failures, org linkage issues, and access management tasks
- Collaborating across Engineering, Research, and Product teams to address customer concerns
Together AI is a research-driven AI company focused on lowering the cost of modern AI systems through co-designed software, hardware, algorithms, and models. The company has contributed to leading open-source research including FlashAttention, Hyena, FlexGen, and RedPajama. Founded in 2022 and headquartered in San Francisco, Together AI is building next-generation AI infrastructure.
Requirements:
- 2+ years of experience in a customer-facing technical role
- Comfortable reading and writing curl/HTTP requests, interpreting JSON error responses, and understanding bearer tokens, rate limits, and API key scoping
- Familiarity with SaaS billing concepts (invoices, prepaid credits, refunds) and ability to navigate admin dashboards
- Working knowledge of SAML and OIDC concepts (ACS URL, audience URI, attribute mapping, IdP vs. SP)
- Familiarity with infrastructure services (Kubernetes, SLURM), infrastructure as code (Ansible), high-performance network fabrics, NFS-based storage, container infrastructure, and scripting/programming languages
- Excellent communication and interpersonal skills to explain complex technical concepts to non-technical stakeholders
- Prior experience with customer support platforms (Zendesk, Intercom, Pylon, Freshdesk, or similar)
- Familiarity with how language model APIs work (tokens, context windows, serverless vs. dedicated inference)
- Strong sense of ownership and willingness to learn new skills
- Ability to operate in dynamic environments, manage multiple projects, and handle frequent context switching
About Together AI
AI / Data / Infrastructure — cloud platform for open-source and generative AI model training and inference.
