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You will serve as the technical bridge between product and customer setups, managing end-to-end rollouts of AI assistant configurations. This includes implementing third-party integrations, developing glue code, and ensuring production reliability through monitoring and debugging.
This is a technical role at the intersection of product and customer deployments for a fast-growing AI phone assistant platform serving small and medium-sized businesses. You will own end-to-end rollouts, from requirements capture through integrations, glue code, and monitoring, ensuring live customer setups run reliably in production. Your work directly shapes the feedback loop between real-world deployments and the product roadmap.
Serve as the technical bridge between product and customer setups, translating requirements into robust production implementations.
Lead rollouts of AI assistant configurations, including workflows, logic, data flows, prompts, and guardrails.
Implement integrations with third-party systems via APIs, webhooks, and common services such as CRMs, calendars, ticketing, and payments.
Develop small-to-medium features and glue code to map customer use cases to production systems, including tests, monitoring, and logging.
Debug live issues across calls, flows, and data pipelines, and deploy rapid fixes under production conditions.
Build reusable templates, deployment playbooks, and best practices to make setups scalable and repeatable.
Surface product pain points, feature gaps, and recurring patterns with concrete recommendations to keep the feedback loop tight.
Several years of practical experience capturing customer requirements and translating them into production implementation plans.
Hands-on production experience with LLM-based applications, including prompting, tool use, RAG, evaluation, and failure modes.
Proven experience building and integrating APIs, webhooks, and common authentication patterns such as OAuth and API keys.
Strong coding ability to implement features and glue code, with solid testing, monitoring, and logging practices.
Familiarity with cloud deployment fundamentals and observability tooling for production debugging.
German language proficiency at B2 level or above.
Pragmatic, delivery-focused mindset with a bias toward shipping fast and iterating.
Bonus: experience with voice or telephony integrations, workflow automation tools, TypeScript or Python, SQL, or GDPR and data privacy considerations.
Salary range: 60,000 to 90,000 EUR annually. Visa sponsorship is not available for this role.
Fully remote, based in Germany.
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