--- title: 'Support Engineer at Exa' canonical: 'https://feeny.ai/job/support-engineer-exa-san-francisco-vfsdzk4b01p3' type: 'job' last_seen: '2026-10-31' --- # Support Engineer at Exa - **Company:** Exa - **Location:** San Francisco, CA - **Employment:** full-time - **Work type:** onsite - **Posted:** 2026-10-29 - **Last confirmed live:** 2026-10-31 - **Apply:** https://jobs.ashbyhq.com/exa/918561fd-6f4b-4b2b-a14d-041109ecf692 ## Job description ## 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 Support Engineers make sure every committed Exa customer gets their problem solved, fast, around the clock. We run support AI-first: AI tools like Pylon and agents triage tickets, answer them and resolve what they can. You take on what the AI can't: the hard, ambiguous technical problems that need a real engineer. You'll have the same technical depth as our Forward Deployed Engineers. You'll dig into the API, SDKs and customers' integrations, reproduce bugs, and open pull requests with fixes for our engineers to review. When a problem truly needs Engineering, you escalate it with everything they need to act, and you stay the customer's point of contact until it's resolved. This is not a script-reading role. You are an engineer who owns the fix. In this role, you will: - Build the support system: configure our Pylon instance and set up robust ticket tracking, SLA tracking and automations that make the support function as efficient as possible - Resolve the tickets the AI can't, troubleshooting across the API, SDKs and customer integrations - Reproduce bugs and fix them, opening pull requests directly for Engineering to review - Escalate to Engineering with full context when you can't solve it yourself: reproduction steps, logs, customer impact and what you've already ruled out - Own every customer follow-up on your tickets, including escalated ones, until the issue is resolved - Make the AI first line better by improving docs, the knowledge base and our Pylon and agent workflows, so more tickets resolve without a human - Keep the follow-the-sun handoff tight: end each shift with an automated handoff that gives the next Support Engineer full context on open tickets - Work with the account team (Account Executives, Forward Deployed Engineers), keeping them informed on tickets from their accounts and flagging account-level risk early - Handle escalation management: watch account health signals, largely through AI, raise every contraction or churn risk to the account team and leadership with requested actions and owners, and follow it until resolved - Spot patterns across tickets and turn them into product feedback and fixes ## Requirements - Several years of hands-on programming experience. You can read and debug unfamiliar code, and you're comfortable opening pull requests in a production codebase - Experience troubleshooting APIs, SDKs or distributed systems in production, ideally with search, retrieval, LLMs or data pipelines - A structured approach to ambiguous problems: you ask the right questions, form hypotheses and test them - Clear judgment on when to keep digging and when to escalate, and the ability to explain a technical problem clearly to customers and engineers - Comfort working AI-first, with AI tools and agents as part of your daily workflow - Availability for shift work as part of a 24/7, follow-the-sun support model You might excel if you... - Have worked as a software engineer, support engineer, solutions engineer or site reliability engineer at a developer-tools, API or AI company - Have built with LLMs, RAG or agents, and can reason about retrieval and search quality - Have built automations or AI workflows that took repetitive work off a team - Like being the person who finally figures out what's going on - Care deeply about the problem of organizing the world's knowledge and making it accessible to machines This an in-person opportunity in San Francisco. 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. ## About Exa ## Company Overview - **One-liner**: Exa builds a web-scale search API and deep research engine purpose-built for AI agents and developers, organizing the web for the agentic era. - **Entity Type**: Private (Series B) - **Headquarters**: San Francisco, California, United States - **Founded**: 2021 - **Founders**: Will Bryk (CEO) and Jeff Wang (Co-founder) ## Core Business - **Primary industry/industries**: AI search infrastructure, applied AI research, developer tools - **Target customers**: B2B – developers, AI agent companies, enterprise teams (e.g., Cursor, Cognition, HubSpot, OpenRouter, Monday.com) - **Mission or purpose statement**: “Organize all knowledge” and “reinvent how the world gets information” – building a search engine for the AI era that exceeds the quality and latency of traditional search. ## Products & Services - **[Exa Search API](https://exa.ai/)**: A high‑throughput web search API delivering results in under 180ms, with support for low‑latency instant search, deep research, crawling, and structured output extraction. Includes “Highlights” (token‑efficient excerpts), company & people search, and code search. SOC 2 Type II certified, zero data retention option, single sign‑on. - **Exa Embeddings & Neural Retrieval**: Proprietary state‑of‑the‑art embedding models trained on Exa’s own cluster of hundreds of H200s, achieving best‑in‑class accuracy on FRAMES, Tip‑of‑Tongue, and Seal0 benchmarks. - **Custom AI Search Solution**: Enterprise‑grade search infrastructure that can be tailored for specific verticals and integrated via a single API. ## Market Standing - **Valuation/Market Cap**: $2.2 billion (as of May 2026) – reported by Bloomberg and referenced on Exa’s about page. - **Key Metric**: Total funding $111.4 million (Pre‑Seed, Seed, Series A, Series B) - **Notable Investors/Partners**: - **Investors**: Lightspeed Venture Partners (led Series A), Benchmark (led Series B), Nvidia, Y Combinator, and individual advisors such as Tal Broda (former VP of Compute, OpenAI) and researchers from Google/Bing. - **Customers & Integrations**: Cursor, Cognition (Devin), HubSpot, OpenRouter, Monday.com, and over 400,000 developers. - **Growth Signals**: - Headcount: 75 employees (+127.7% YoY), with active hiring across 17 open roles. - Revenue: Not publicly disclosed, but traction with marquee customers and rapid valuation growth from ~$22M (Seed) to $2.2B in under two years. - Team distribution across 10 countries, with a strong engineering and research core (26% technical, 5% research). ## Competitive Advantages - **Web‑scale infrastructure**: Crawls and indexes 500B+ webpages with a proprietary neural retrieval stack that improves predictably with compute. - **Latency & accuracy leadership**: Fastest search API (<180ms) and top scores on industry benchmarks (FRAMES, Tip‑of‑Tongue, Seal0). - **Agent‑native design**: Built specifically for the workflow of LLM agents – token‑efficient highlights, structured outputs, and low‑latency to deep research in a single API. - **Enterprise trust**: SOC 2 Type II, zero data retention, SSO, and privacy controls. ## Strategic Focus - **Current priorities**: Expand the search infrastructure for the coming “1000x more searches from AI agents than Google today.” Continue investing in end‑to‑end neural architectures, scale the cluster, and deepen integrations with leading AI platforms. - **Direction**: Become the default “knowledge layer” for all AI agents, reinventing search from a link‑based model to a high‑quality, structured answer engine. ## Why Work Here - **Culture**: Applied AI research lab with a mission to build the world’s best search engine. In‑person team (San Francisco headquarters) with daily team meals, weekly milk tea, monthly picnics, and regular celebrations. - **Remote/hybrid policy**: Fully in‑person for most roles, with flexibility for certain positions and visa‑relocation support. - **Benefits**: Premium medical/dental/vision, monthly wellness and commuter benefit, fertility/family planning reimbursement (up to $15k lifetime), 16 weeks paid parental leave, daily lunch and dinner, snacks, and fresh bread from a local bakery. - **Engineering culture**: Emphasis on research‑driven engineering – working on massive‑scale indexes, novel retrieval systems, and training state‑of‑the‑art models on Exa’s own H200 cluster. ## Sources 1. [Exa About Page](https://exa.ai/about) 2. [Exa Careers Page](https://exa.ai/careers) 3. [Exa Product Page](https://exa.ai/) 4. [Exa LinkedIn](https://www.linkedin.com/company/exa-ai) 5. [Y Combinator Company Profile](https://www.ycombinator.com/companies/exa) ## Other roles at Exa - [Head of Solutions Architecture](https://feeny.ai/job/head-of-solutions-architecture-exa-san-francisco-q6z0f9s0scr9) — San Francisco, CA - [Solutions Architect, EMEA](https://feeny.ai/job/solutions-architect-emea-exa-london-mptw2etmy4f7) — London, United Kingdom - [FDE Lead, NYC](https://feeny.ai/job/fde-lead-nyc-exa-new-york-pamhxm7rjx4b) — New York, NY - [Head of Support Engineering](https://feeny.ai/job/head-of-support-engineering-exa-san-francisco-hj7gvyqy7n3a) — San Francisco, CA - [Head of Field Engineering, EMEA](https://feeny.ai/job/head-of-field-engineering-emea-exa-london-x3nrwhqn1mwh) — London, United Kingdom - [Software Engineer, Web Crawling](https://feeny.ai/job/software-engineer-web-crawling-exa-san-francisco-rz2fkjkzm52p) — San Francisco, CA - [Research Engineer, Index Intelligence](https://feeny.ai/job/research-engineer-index-intelligence-exa-zurich-b6dn4q54kd4q) — Zurich, Switzerland - [Research Engineer, Content Understanding](https://feeny.ai/job/research-engineer-content-understanding-exa-zurich-r9pn2a3nz8cn) — Zurich, Switzerland - [Software Engineer, Knowledge Engine – Query Engine](https://feeny.ai/job/software-engineer-knowledge-engine-query-engine-exa-zurich-878qt7c4g1n8) — Zurich, Switzerland - [Software Engineer, Security](https://feeny.ai/job/software-engineer-security-exa-san-francisco-yfsxpwrebdsv) — San Francisco, CA