обновлено 2 дня назад
Documentation Specialist (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Documentation Specialist (AI): Creating and maintaining product documentation, SOPs, knowledge bases, and release notes for Parloa's agentic AI product AMP with an accent on information architecture, documentation standards, and docs-as-code workflows. Focus on translating complex AI concepts into accessible guidance, structuring scalable knowledge, and keeping documentation aligned with frequent product releases.
Location: Berlin Office, Germany
Company
develops enterprise conversational AI that enables companies to deliver intelligent, scalable customer interactions.
What you will do
- Create and maintain product documentation, standard operating procedures, knowledge bases, and release notes.
- Structure information architecture so knowledge is easy to find, reuse, and scale across teams and audiences.
- Develop and improve documentation standards, templates, style guides, and quality processes.
- Collaborate on docs-as-code workflows and keep documentation current through frequent product releases.
- Work with Product, Engineering, Support, Legal, Instructional Design, and Training teams to capture and validate knowledge.
- Translate complex product and AI concepts into clear guidance for customers, partners, internal teams, and non-expert audiences.
Requirements
- 4+ years of experience owning documentation in a scaling SaaS, AI, or product-driven company.
- Strong experience creating technical and customer-facing documentation, including product documentation, APIs, and help centers.
- Experience building documentation standards, templates, and processes in collaboration with Product and Engineering teams.
- Confidence explaining AI or agent-based concepts through clear, structured guidance.
- At least 1 year of experience working in a fast-paced docs-as-code environment.
- Structured, detail-oriented approach with strong ownership, product thinking, and focus on user journeys, enablement, and adoption.
Culture & Benefits
- Ownership of outcomes and meaningful contribution from the start.
- Fast execution, direct feedback, and work on complex enterprise AI problems.
- Strong focus on data protection, GDPR, and ISO 27001 compliance.
- Opportunity to help establish and scale the documentation practice for a flagship AI product.
Hiring process
- Talent Acquisition interview.
- Hiring Manager interview.
- Technical interview(s), followed by a Bar Raiser interview.
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