---
title: 'Technical Enablement Manager at Exa'
canonical: 'https://feeny.ai/job/technical-enablement-manager-exa-san-francisco-g5s16s4chh7x'
type: 'job'
last_seen: '2026-09-05'
---

# Technical Enablement Manager at Exa

- **Company:** Exa
- **Location:** San Francisco, CA
- **Employment:** full-time
- **Work type:** onsite
- **Posted:** 2026-08-25
- **Last confirmed live:** 2026-09-05
- **Apply:** https://jobs.ashbyhq.com/exa/b193ad1c-7700-4e32-98cb-efc791993963

## Job description

## 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.

## 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)

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