Technical Enablement Manager
Exa is hiring a Technical Enablement Manager in San Francisco, United States. It pays $150k-$225k a year and Level rates it ; you can apply on Exa.
Level's read on this job
- Level rates this role Uses AI ●●○○: an ordinary role that requires AI tools.
- The posting mentions AI Tools, technical enablement and sales enablement among its tools and skills.
- Level classes it as a mid-level role.
- Exa has 56 other open roles on Level.
AI in this role
Own technical enablement, onboarding, and training for go-to-market teams using AI tools to optimize workflows and accelerate ramp times.
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.
How we rate this
Technical Enablement Manager at Exa rates 45 out of 100 for how much of the daily work is AI. That makes it Uses AI (AI Level 2 of 4). The level is about AI in the job, not seniority.
Uses AI. An ordinary role that requires AI tools.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Questions you could be asked
- Tell me about a project where technical enablement was part of your work. What did you do?
- Tell me about a project where sales enablement was part of your work. What did you do?
- Tell me about a project where onboarding was part of your work. What did you do?
- Tell me about a project where developer training was part of your work. What did you do?
- Tell me about a project where content creation was part of your work. What did you do?
Adapt your resume
- List these exact terms on your resume: Technical Enablement, Sales Enablement, Onboarding, Developer Training, and Content Creation. 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.
- Put the AI tool in a bullet point about what you did, not just in a skills list. This role treats it as a required part of the job.
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