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Exa

Head of Support Engineering

Exa is hiring a Head of Support Engineering in San Francisco, United States. It pays $220k-$335k a year and Level rates it ; you can apply on Exa.

Level's read on this job

  • Little AI ●○○○ is how Level rates this role: aI is not part of the work.
  • Exa mentions visa sponsorship in this posting.
  • Tools and skills the posting cites include RAG and AI agents.
  • Level lists 60 other open roles at Exa.
  • The role was posted in the last few days.

AI in this role

ragai-agents

About Exa

We raised a $250M Series C to build the search engine for AIs. Led by a16z, with existing investors Benchmark, Lightspeed, and YC doubling down, the round brings Exa's valuation to $2.2 billion.

Exa is building a search engine for the AI era. Our Search API currently powers Agents, Fortune 500s, and AI labs as we transform an industry that hasn't been disrupted since the 90s. We're a largely SF-based team of ~100 from Harvard, MIT, Meta, Google Research, ex-founders, and dropouts alike. We are rapidly building the most intelligent search engine in history. We're high agency, low-ego, and united by the feeling that this is one of the last problems worth getting right.

About the Role

You'll build and lead Support at Exa: an AI-first, 24/7 support function for every committed customer, worldwide. AI tools like Pylon and AI agents handle the first line; your team of Support Engineers takes on the hard technical problems the AI can't, with the same technical depth as our Forward Deployed Engineers.

You'll also own escalation management: watching the health of every account, largely through AI, and making sure every contraction or churn risk reaches the right people with a clear plan to fix it.

This is a technical leadership role. You hold the same technical bar as your team: you can debug a customer integration, read the code, and open a pull request yourself.

In this role, you will:

  • Build the Support team: hire, onboard and lead Support Engineers across regions for 24/7, follow-the-sun coverage

  • Build the support system: own our Pylon setup, ticket and SLA tracking, severity levels, automations and the end-of-shift handoffs, so the function runs as efficiently as possible

  • Make the AI first line work: decide which tickets the AI resolves and which reach a human, and keep improving the share it resolves without a person

  • Own escalations to Engineering: a clear path with full context, and customer follow-up owned by Support until resolution

  • Own escalation management: monitor account health across regions, flag every contraction or churn risk to the account team and leadership with requested actions and owners, and follow it until resolved. Escalation management is a duty of your Support Engineers; add dedicated people only if the load requires it

  • Partner with the account team (AEs, account managers, FDEs) on at-risk and strategic accounts

  • Turn ticket patterns into product feedback, and drive fixes with Product and Engineering

  • Report on support health: response and resolution times, customer satisfaction, AI resolution rate, and churn and contraction avoided

Requirements

  • Several years of hands-on programming experience, at the same level as the Support Engineers you'll hire: you can debug APIs and customer integrations and open pull requests yourself

  • 5+ years in technical support, support engineering, SRE or customer engineering, including 2+ years leading a technical support team, ideally at an API, developer-tools or AI company

  • Experience building support operations from scratch: tooling, SLAs, severity models, escalation paths and 24/7 coverage

  • Strong judgment on automation and AI: you've used AI or automation to scale a support function without lowering quality

  • Clear communication with customers, engineers and executives, especially under pressure

You might excel if you...

  • Have built or rebuilt a support function at a fast-growing technical company

  • Have run Pylon, or a similar support platform, at scale

  • Have built with LLMs, RAG or agents

  • Care deeply about the problem of organizing the world's knowledge and making it accessible to machines

This is an in-person opportunity in San Francisco We're happy to sponsor international candidates (e.g., STEM OPT, OPT, H1B, O1, E3). In addition to premium healthcare benefits (medical, dental, vision), we also offer fertility benefits and a monthly wellness stipend to all of our employees.

Exa is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, creed, color, religion, sex, sexual orientation, gender identity or expression, national origin, disability, age, veteran status, marital status, pregnancy or related conditions, criminal histories consistent with applicable law, or any other basis protected by applicable law.

How we rate this

Head of Support Engineering at Exa rates 14 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

RAGAI agents

Questions you could be asked

  1. How would you design a retrieval step so the model answers from real data instead of guessing?
  2. How do you decide when an AI agent can act on its own versus asking for approval first?

Adapt your resume

  • List these exact terms on your resume: RAG and AI agents. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.

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