Why this role, why now
As Blockbrain grows into more enterprise accounts, customer success is where real value gets created. It is not enough to sell the platform. Customers need someone who turns their goals into working AI use cases and makes adoption stick. This is where you come in.
This is a hybrid Customer Success Manager and Customer Success Engineer role. You own customer relationships and commercial account development while building AI use cases directly in the Blockbrain platform. As we evolve into a Building Company, this role is genuinely hands-on: you do not just define use cases and hand them off, you build them with customers. You are not expected to be a software developer, our Forward Deployed Engineers partner with you on the deeper technical work. Real ownership and room to shape things from day one.
What we expect
- 4+ years in Customer Success, Account Management, Consulting, or Business Development or a comparable customer-facing role, ideally with SaaS or AI products
- Confident communication with end users, functional stakeholders, and senior decision-makers, with the ability to facilitate conversations, align people, and explain technical concepts clearly
- Strong tech affinity: you understand AI use cases, integrations, and data and process dependencies, and work hands-on without being a software developer
- Solution orientation: you turn customer goals into clear use cases, acceptance criteria, platform-level solutions, and measurable outcomes
- Strong organizational talent: you independently manage accounts, priorities, follow-ups, risks, and cross-functional dependencies across the full customer lifecycle
- A builder and ownership mindset: curiosity, customer empathy, commercial judgement, and comfort navigating ambiguity
Fluent German and English, both written and spoken
Expected AI Skills
Hands-on AI building and practical technical fluency are must-haves here. You will:
- Build useful customer solutions directly in the platform, understanding LLMs, embedding models, RAG systems, and knowledge structures such as Property Graphs, and assessing which approach fits a use case
- Connect AI solutions to existing systems through MCP servers, connectors, and APIs across Microsoft 365, Dynamics, and CRM systems like Salesforce, comfortable with Entra ID and the Azure/M365 admin centers
- Translate technical use cases into working solutions yourself, building, testing, and improving platform-level solutions, and partnering with Forward Deployed Engineering for deeper technical work
You don't need to be a software developer. What matters is solid technical understanding, practical AI-building experience, and the confidence to turn customer requirements into working solutions.
