Level

Exa

Forward Deployed Engineer, Singapore

Exa is hiring a Forward Deployed Engineer, Singapore (Singapore). It pays $150k-$250k a year and Level rates it ; you can apply on Level.

AI in this role

rag

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

Forward Deployed Engineers are the technical tip of the spear at Exa. Partnered with an Account Executive, you own the technical win: you run discovery with customer engineering teams, design solutions on Exa's API, build and deliver demos and POCs that prove value, and turn technical evaluations into closed deals. You'll be one of the first GTM engineers in your region — you'll help define how Exa sells there, not just execute a playbook.

In this role, you will:

  • Own the technical side of the sales cycle: discovery, solution design, demos, POCs/POVs, and technical objection handling, in partnership with your AE

  • Run the technical side of expansion: spot new use cases in existing accounts and turn them into evaluations, with your AE

  • Build working demos and prototypes on Exa's API tailored to each customer's use case — agents, research, search, enrichment

  • Tell the story: translate Exa's capabilities into use-case narratives that land with CTOs, engineers, and PMs alike

  • Be the trusted technical advisor: know Exa inside out — the product, the API, the problems it solves — answer hard questions honestly, run evaluations rigorously, and know when to pull in engineering

  • Feed the field back into product: identify patterns across customer evaluations and channel them to product and engineering

  • Scale yourself and the region: build reusable demos, integration patterns, and playbooks, and represent Exa at technical workshops, meetups, and conferences

  • As a founding regional hire, support early customers through onboarding and initial implementation while we build out dedicated post-sales

Requirements

  • 5+ years in a customer-facing technical role (flexible for exceptional candidates) — solutions/sales engineering, solutions architecture, or an engineering role with heavy customer exposure (e.g., engineering lead, developer relations, technical consulting)

  • Technical depth with APIs and modern development (e.g. Python or TypeScript): you can design an integration, build a working demo, and debug it live — using AI-assisted tooling is expected, hand-crafted code is not the bar

  • Strong communication and presentation skills: you can command a room, adapt to your audience, and say "I don't know — I'll find out" when you don't

  • Comfort with ambiguity and early-stage intensity: you can run several evaluations in parallel, prioritize what moves deals, and your job description will change as the region grows

  • Familiarity with the modern AI stack — LLMs, RAG, agents — and how customers evaluate it; you can scope a POC with clear success criteria

  • Based in region with willingness to travel for customer engagements

You might excel if you…

  • Have owned technical evaluations at a developer-platform / API-first company — POCs/POVs you scoped and ran that ended in a customer going live

  • Have led engineers and want to move toward the customer, or are an SE who wants to be more hands-on than your last role allowed

  • Are genuinely curious about AI and have built things with LLMs — side projects count

  • Are energized by being the first: first hire, first deal, first playbook in a region

  • Have run enterprise evaluations end-to-end — POC success criteria, security questionnaires, RFP responses

  • Speak additional regional languages (a plus across APJ markets)

    This is an in-person opportunity in Singapore. We're happy to sponsor international candidates. 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

Forward Deployed Engineer, Singapore at Exa rates 79 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.

Classification

Works on AI. The daily work is on AI products, without building the model.

  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. Open the description and count.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

RAG

Also common in forward deployed engineer jobs at this level

Pay

This job starts at
$150k
Typical forward deployed engineer job
$182k

This posting starts 18% below the typical forward deployed engineer job. See forward deployed engineer jobs

Questions you could be asked

  1. How would you design a retrieval step so the model answers from real data instead of guessing?
  2. Describe a typical day in a role like this one: which parts run through AI directly?
  3. If you removed AI from this role, what would be left, and how do you decide what still needs a human?

Adapt your resume

  • List these exact terms on your resume: RAG. 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.
  • Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.

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