--- title: 'Solutions Architect, EMEA at Exa' canonical: 'https://feeny.ai/job/solutions-architect-emea-exa-london-mptw2etmy4f7' type: 'job' last_seen: '2026-10-31' --- # Solutions Architect, EMEA at Exa - **Company:** Exa - **Location:** London, United Kingdom - **Employment:** full-time - **Posted:** 2026-10-29 - **Last confirmed live:** 2026-10-31 - **Apply:** https://jobs.ashbyhq.com/exa/e1ced114-a03b-4eaa-b2fa-f82b738a0aad ## 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 Solutions Architects are the technical tip of the spear in Exa's presales motion. From the first call to the technical win, you're the person who shows prospects what Exa can do and proves it works for their use case. You partner with Account Executives on new accounts and new opportunities, and you're measured on technical wins, POC conversion, and pipeline velocity. You'll cover accounts across EMEA from our London office. You'll run discovery with engineers and executives, build demos that land, design and run workshops and proofs of concept, and make the technical case for Exa against alternatives. When a deal needs specialist depth, you pull in our Forward Deployed Engineers. When a deal closes, you hand the customer off to them with everything they need to get to production fast. This is not a demo-only role. You are an engineer who sells. In this role, you will: - Lead the technical side of new opportunities alongside Account Executives, from first call through technical win - Run discovery to understand a prospect's use case, architecture, data needs, and success criteria, and qualify where Exa fits - Build and deliver tailored demos, sample apps, and prototypes that show what Exa can do on the prospect's own problem - Design and run workshops and POCs with clear success criteria, timelines, and evaluation plans, then drive them to a decision - Win technical evaluations by benchmarking Exa on quality, latency, and cost, and making a clear case against alternatives - Handle technical objections and answer security, compliance, and architecture questions - Bring in Forward Deployed Engineers as specialists when a deal needs deeper expertise, and run a clean handoff to them after close - Feed market signal back to Product: what prospects ask for, where we lose, and what would help us win - Build reusable pre-sales assets such as demo environments, reference architectures, and evaluation playbooks ## Requirements - Several years of hands-on programming experience. You can build compelling demos, implement POCs end to end, and design and run rigorous evals in head-to-head competitive scenarios - 2+ years of hands-on presales or technical sales experience, ideally at an AI-native or developer-first company. You've owned the technical side of deals, run discovery and demos with technical buyers, and helped carry opportunities to close - Strong communication skills: you can adapt your pitch to CTOs, engineers, and PMs alike, and explain complex technology simply - Track record of high performance in demanding environments, whether that's a top CS program, a competitive sport, a startup, or something else entirely - High tolerance for context-switching, ambiguity, and sustained intensity - Willingness to travel as needed for customer meetings and workshops You might excel if you... - Have worked as a solutions architect, solutions engineer, or sales engineer at a developer-tools, API, or AI company - Have built with LLMs, RAG, or agents and can talk credibly about retrieval and search quality - Have helped close revenue or driven commercial outcomes at a previous company - Thrive in early-stage environments where your job description changes monthly - Love the moment a prospect sees a demo and gets it - Care deeply about the problem of organizing the world's knowledge and making it accessible to machines This is an in-person opportunity in London. 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 - [FDE Lead, NYC](https://feeny.ai/job/fde-lead-nyc-exa-new-york-pamhxm7rjx4b) — New York, NY - [Support Engineer](https://feeny.ai/job/support-engineer-exa-san-francisco-vfsdzk4b01p3) — San Francisco, CA - [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