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Salary
$150k – $225k per year
Location
In office (San Francisco)
Seniority
Junior · 2+ years exp
Employment
Full-Time

Confirmed on the employer's own hiring board on Sep 27, 2026. First seen by Alion on Aug 25, 2026. Exa scores B on the Alion truth index.

Overview
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Impact
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Exa

Exa builds a web search engine designed for AI applications and agents rather than for human readers, sold to developers and enterprises through APIs. It trained its own embedding-based search models and runs its own crawl that tracks more than 500 billion URLs, exposed through Search, Contents, Agent and Monitors APIs and Websets, a high-compute search product for lists of companies and people. Founded in 2021 in San Francisco under the name Metaphor, it serves more than 5,000 companies including Cursor, Cognition and HubSpot and raised a $250 million Series C led by Andreessen Horowitz in 2026.

About the Role

Exa sells a technical product to technical buyers, through a technical sales motion. Our AEs need to speak fluently about the product and our FDEs need enablement that matches their skill level and doesn't waste their time. You're the person who makes both of those true.

You'll own technical enablement for the entire GTM org, both onboarding and everboarding. For FDEs, that means staying genuinely technical: demo excellence, POV/POC process, and raising the bar on what "good" looks like. For AEs, it means taking that same technical depth and translating it into something a seller can actually use as they navigate conversations with technical audiences, without losing the substance that makes it credible.

This role reports into the Head of Revenue Enablement. We're building the enablement function from the ground up with a focus on scale. We're growing the GTM sales team quickly, so early months are about building the onboarding infrastructure at the same time you're running it. Built so it scales, stays repeatable, and keeps improving.

What You'll Do

  • Design and run technical onboarding for new AEs and FDEs - sessions, materials, and assessments built from scratch so new hires ramp with real fluency, not just familiarity

  • Own ongoing (everboarding) enablement: product training, update briefings, and skill-building tied to real deal scenarios

  • Turn new platform capabilities into field-ready content within days of launch including translating technical features to value based narrative, technical objection handling, quick-reference guides, and demo scenarios across industries and personas

  • Coach technical sellers on demo delivery through practice sessions and office hours

  • Build and maintain a library of enablement content: demo guides, technical objection handling, competitive positioning, hands-on labs, reference material for both technical and sales audiences

  • Build the infrastructure that scales enablement without you in the room: self-service resources, demo environments, content-freshness automation

  • Close the loop with product and product marketing by bringing back field signal on where sellers get stuck and what would unlock the next deal

  • Track content usage and session feedback so you know what's working and what to retire

  • Use AI tools to build smarter workflows and move faster, both in your own work and in what you build for the team

Who You Are

  • 2-4 years in technical enablement, solutions engineering, sales engineering, technical training, or another role enabling technical seller personas

  • Strong technical aptitude and curiosity. You don't need to be an engineer, but you're comfortable going deep on a complex product and turning that into accurate, credible enablement

  • Comfortable building things yourself: prototyping a demo, scripting an automation, standing up a lightweight tool. You don't need to ship production code, but you can hold your own with people who do

  • Proven ability to design and deliver training for both technical and sales audiences, and to translate between them

  • Hands-on experience using AI in your own work, with real opinions on where it helps and where it doesn't

  • A builder's instinct for scale - you'd rather build a system once than run the same sessions manually forever

  • Comfortable being one of the founding enablement hires - no playbook to inherit, building from scratch, moving fast

Nice to Have

  • Experience building with LLM APIs or agent frameworks (tool use, MCP, etc.), beyond just prompting

  • Experience delivering live technical training to mixed technical/non-technical audiences

  • Familiarity with vector search, embeddings, or neural search concepts

Location:

San Francisco (HQ) strongly preferred. Open to remote for the right candidate.

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.

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