AI Engineer, Learning & Development

eGain; Sunnyvale (CA); Presencial; USD 90.000 - 115.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Stock options

Descripción de la vacante

eGain Corporation offers an AI knowledge solution that helps Fortune 500 clients and government agencies improve customer experience while reducing service costs.

We seek a writer who treats content as a product surface, building structured, versioned, testable material for admins, partners, prospects, and AI assistants. You will own the content and enablement programs end to end.

Formación

• Bachelor’s degree in a technical, communications, or instructional design field.
• 3–5 years in technical writing, learning and development, content engineering, or developer education at an enterprise software company.
• Hands-on AI automation-first approach for every task.
• Docs-as-code fluency: Markdown, Git, SSG/Component CMS; reading REST APIs, JSON, and YAML.

Responsabilidades

• Own AI-native enablement for customers, partners, prospects, and self-sign-up users.
• Own the technical documentation set: administrator and developer guides, API references, deployment runbooks, and release notes.
• Engineer the content pipeline so one corpus serves documentation sites, in-product help, and the retrieval layer behind AI assistants.

Conocimientos

Technical writing

Content engineering

Developer education

API comprehension

Educación

Bachelor’s degree in technical/comms/instructional design

Herramientas

Markdown

Git

Static site generator

Component CMS

Descripción del empleo

Fortune 500 clients and government agencies trust eGain AI knowledge solution to improve customer experience and reduce cost of service. Top rated by Gartner, eGain AI Knowledge Hub orchestrates AI and experts to deliver trusted answers to customers, agents, and field staff.

We dream big and sweat details. We are diverse, optimistic, and tenacious. We take pride in what we do but we don’t take ourselves too seriously. If work is fun for you, talk to us. We will not waste your time.

Teach the AI Knowledge Revolution

Every product needs someone to explain it. What has changed is who is reading: your customers, your partners, your prospects, and the AI assistants now answering on your behalf. At eGain, we have built what Gartner calls the best AI-powered knowledge management platform on the market. Now we need someone to apply that same discipline to our own content.

The Opportunity

This is documentation and training as an engineering practice, not a writing queue at the end of the release cycle. You will build the structured, versioned, testable content that a new customer admin, a partner consultant, a prospect in a free trial, and our own AI assistant can each learn from. One corpus, four audiences, authored once. If you have been waiting for a role where content is a product surface rather than an afterthought, this is your moment.

What You’ll Do

• Own AI-native enablement for customers, partners, prospects, and self-sign-up users: onboarding, certification, and release training, generated and refreshed with AI in the loop
• Own the technical documentation set for the eGain AI product suite: administrator and developer guides, API references, deployment runbooks, and release notes
• Engineer the content pipeline so one corpus serves documentation sites, in-product help, and the retrieval layer behind our AI assistants

What You Bring

• Bachelor’s degree in a technical, communications, or instructional design field
• 3 to 5 years in technical writing, learning and development, content engineering, or developer education at an enterprise software company
• A technical approach to L&D: you learn a product by using it, configuring it, and reading its API
• Hands-on AI automation first approach for every task.
• Docs-as-code fluency (Markdown, Git, static site generator or component CMS) and the ability to read REST APIs, JSON, and YAML

Bonus Points

• Docs, product training, and enablement owner in a startup

Compensation

• The salary range is $90,000 to $115,000 per year.
• Stock options.

Please note that the compensation package can vary based on the candidate’s qualifications and experience.