Technical Enablement Manager

Summary

Exa is a company that sells a technical product to technical buyers through a technical sales motion. The Technical Enablement Manager will own technical onboarding and ongoing enablement for the go-to-market organization, develop scalable training infrastructure and field-ready content, coach technical sellers, and use feedback and analytics to improve enablement programs.

Responsibilities

• 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

Skills

• 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
• 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
• San Francisco (HQ) strongly preferred

Qualifications

Must Haves

• 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
• 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

Nice to Haves

• San Francisco (HQ) strongly preferred

Benefits

• Equity
• Open to remote for the right candidate