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Exa

AI-driven search API for real-time data

Forward Deployed Engineer

Pre-Sales Solution EngineeringConfirmed live in the last 24 hours
Full-timeLondon, UK£120k - £200k /yrIn-person

About the Job

Requirements

  • At least 5 years in a customer-facing technical role, with flexibility for exceptional candidates; relevant backgrounds include solutions or sales engineering, solutions architecture, or an engineering role with substantial customer exposure such as engineering leadership, developer relations, or technical consulting.
  • Technical depth with APIs and modern development, such as Python or TypeScript, including the ability to design an integration, build a working demo, and debug it live; AI-assisted tooling is expected, and hand-crafted code is not the bar.
  • Strong communication and presentation skills, including the ability to adapt to the audience and acknowledge when an answer needs to be researched.
  • Comfort with ambiguity and early-stage intensity, including running several evaluations in parallel and prioritizing work that advances deals.
  • Familiarity with the modern AI stack, including large language models, retrieval-augmented generation, and agents, and how customers evaluate it; ability to scope a proof of concept with clear success criteria.
  • Based in the region and willing to travel for customer engagements.

Responsibilities

  • Own the technical side of the sales cycle, including discovery, solution design, demos, proofs of concept and value, and technical objection handling in partnership with the account executive.
  • Run the technical side of expansion by identifying new use cases in existing accounts and turning them into evaluations with the account executive.
  • Build working demos and prototypes on Exa's API tailored to customer use cases, including agents, research, search, and enrichment.
  • Translate Exa's capabilities into use-case narratives for chief technology officers, engineers, and product managers.
  • Serve as a trusted technical advisor by learning the product, API, and problems it solves; answer technical questions honestly, run rigorous evaluations, and know when to involve engineering.
  • Identify patterns across customer evaluations and relay them to product and engineering.
  • Build reusable demos, integration patterns, and playbooks, and represent Exa at technical workshops, meetups, and conferences.
  • Support early customers through onboarding and initial implementation while dedicated post-sales support is being established.

Desired Qualifications

  • Experience owning technical evaluations at a developer-platform or API-first company, including scoping and running proofs of concept or value that led to customers going live.
  • Experience leading engineers and an interest in moving toward customer-facing work, or experience as a solutions engineer seeking more hands-on work.
  • Genuine curiosity about AI and hands-on experience building with large language models; side projects count.
  • Interest in being an early regional hire and establishing the first deals and playbooks.
  • Experience running enterprise evaluations end to end, including proof-of-concept success criteria, security questionnaires, and requests for proposal.
  • Additional regional language skills, which are a plus across Asia-Pacific markets.

About the Company

Exa

AI-driven search API for real-time data

Exa.ai builds an AI-driven search API that returns high-quality, real-time data from the web for use in AI training and applications. The API lets developers fetch the best data with just a few lines of code, and customers access it via a subscription plan that includes 1000 free searches per month with additional paid plans. This approach differs from traditional search by focusing on data quality and relevance for AI needs rather than keyword-based results, enabling scalable data delivery for models and apps. The company aims to grow its search product and establish itself as the data layer for AI applications, backed by its Series A funding from Lightspeed Venture Partners, Nvidia, and Y Combinator.

Company size
201-500
Company stage
Series C
Total funding
$362.1M
Headquarters
San Francisco, CA
Founded
2021

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