обновлено 3 часа назад
Customer Success Manager - AI (DACH)
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Описание вакансии
Текст:
TL;DR
Customer Success Manager - AI (DACH) (AI/Legaltech): Supporting self-serve customers and driving adoption of BRYTER’s AI-powered legal products with an accent on technical support, product enablement, and customer insight. Focus on diagnosing product issues, reproducing bugs, identifying churn risks, and improving in-product guidance with AI models and RAG techniques.
Location: Fully remote, DACH region; travel may be required.
Company
provides AI and no-code solutions that help law firms and in-house legal teams automate workflows and improve productivity.
What you will do
- Respond to inbound support tickets through email and live chat, resolving technical and product questions.
- Triage and diagnose issues, distinguishing user errors from product bugs and routing them appropriately.
- Monitor product usage to identify users who are stuck or at risk of churning.
- Translate recurring support themes into actionable insights for the Growth and Product teams.
- Reproduce and document bugs for Engineering, including steps, environment details, and impact.
- Improve the in-product help experience through tooltips, empty states, and contextual nudges.
Requirements
- Near-native or native German proficiency required.
- Highly fluent English required.
- At least 1 year of experience in technical support or customer success.
- Strong communication, empathy, patience, and cross-functional collaboration skills.
- Experience with support tools such as Intercom or Zendesk.
- Comfort working in a fast-paced startup environment.
Nice to have
- Experience in legal tech, legal services, AI adoption, or customer enablement.
- Experience with Userpilot, Pendo, or similar product analytics tools.
- Experience conducting webinars or training sessions.
- Startup and remote-work experience.
Culture & Benefits
- 30 vacation days, pension, work-from-home allowance, and paid parental leave.
- Hands-on exposure to AI models, large language models, and Retrieval-Augmented Generation techniques.
- Remote-first work environment with offices in New York, London, and Frankfurt.
- Regular team off-sites across Europe.
- Learning and growth opportunities focused on AI-driven technologies.
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