Support Engineer

present of AI; San Francisco (CA); On-site; USD 100,000 - 150,000; Full time

Job summary

Exa is hiring a Support Engineer in San Francisco, CA, on a full-time, mid-level basis. This role sits on the go-to-market team and focuses on helping developers and customers maximize the value of Exa's AI model search API and tooling.

The position emphasizes hands-on debugging, clear communication, and documenting issues to steer product improvements. Ideal candidates combine empathy with technical fluency in APIs and developer workflows.

Qualifications

• Hands-on debugging with patient, plain-language communication.
• Ability to explain technical tradeoffs to engineers and business users.
• Comfort with APIs and developer workflows.

Responsibilities

• Help developers and customers troubleshoot integration and API issues.
• Turn recurring problems into documentation and feedback for the product team.
• Explain tradeoffs and drive improvements with cross-functional partners.

Skills

Developer empathy

Debugging with logs

Documentation and feedback loops

Job description

Customer & Solutions · San Francisco, California · FullTime · Mid level

A Support Engineer on a go to market team typically helps developers and customers get the most from a technical product, troubleshooting integration and API issues and turning recurring problems into clear documentation and feedback for the product team. A strong candidate combines hands on debugging with patient, plain language communication and can explain technical tradeoffs to both engineers and business users. At a company building a search engine and API for AI models and agents, comfort with APIs and developer workflows matters more than formal support background.

How it fits the AI era

Support work is shifting as AI tools draft answers, summarize tickets and surface likely fixes, so the engineer spends less time on routine replies and more on judgment, verification and the tricky cases. What stays human is reading a frustrated customer, asking the right follow up question and deciding when a problem needs a product change rather than a workaround. The role becomes part translator between AI assisted tooling and the people relying on it.

How it builds AI experience

This role offers direct exposure to how AI models and agents call a search API, which builds practical intuition about retrieval quality, latency and failure modes. Candidates can strengthen that by building small projects that query an API, logging where results go wrong and writing up what they learned. Reading developer docs closely and reproducing issues before answering are habits that translate well here.

Worth showing

• Developer empathy
• Debugging with logs
• Documentation and feedback loops

This is our own read, written from the employer's posting and the company's Spotlight. The employer's posting is the source of truth for the role.

About Exa

Exa is an applied AI lab that builds a search engine and API for AI models and agents, per the company.