Jimdo

Artificial Intelligence

• Architect and build core Companion services: the agent orchestration layer, recommendation engine, Business Assistant, and the APIs that connect them — enabling personalized, data-driven guidance at scale.
• Ship production AI agents and agentic workflows that help microbusiness owners complete real business tasks like creating content, setting up bookings, and optimizing their online presence.
• Design and evolve our AI platform so other product teams at Jimdo can build their own domain-specific AI agents and experts without reinventing the infrastructure.
• Own features end-to-end across the full stack — from LLM orchestration and backend services (Node.js/TypeScript, AWS) to the React frontend that hundreds of thousands of users see.
• Improve the intelligence of the system over time: refine prompt strategies, tune agent handoffs, implement guardrails, and close the loop between customer actions and measurable business outcomes.
• Drive technical decisions on how we integrate LLM providers, manage cost and latency, and build resilience (e.g., multi-provider fallback, caching strategies, observability).
• Collaborate with product managers, designers, data analysts, and engineers across teams to define what Companion does next — translating product vision into working software that increases customer transactions and retention.
• Proactively identify technical debt, architectural risks, and scalability bottlenecks in a fast-moving AI product — and drive pragmatic improvements.

Expert Engineer, AI

Engineer

• Design, build, and maintain internal support tooling and customer self-service solutions
• Own and improve Zendesk configurations, workflows, automations, and integrations
• Build scalable integrations between support systems, product services, analytics platforms, and CRMs
• Partner closely with Customer Support teams to uncover operational bottlenecks and deliver impactful solutions
• Improve reliability, observability, and operational excellence through monitoring, alerting, testing, and documentation
• Use AI-assisted development tools to accelerate engineering workflows and improve productivity
• Mentor fellow engineers and contribute to technical leadership, design reviews, and engineering best practices

CX Expert Engineer

Frontend Engineer

• Lead the design and evolution of scalable frontend architectures across our monorepo.
• Own and improve build pipelines, bundling strategies, CI/CD processes, and testing infrastructure.
• Drive migration strategies for legacy systems and reduce architectural complexity.
• Improve performance, bundle size, build health, and test reliability.
• Mentor engineers, conduct thoughtful code reviews, and raise frontend quality standards.
• Collaborate with Product, Design, and other Engineering teams to balance platform thinking with product delivery.
• Represent frontend engineering in strategic technical discussions and roadmap planning.

Expert Engineer, AI

CX Expert Engineer

Expert Engineer – Frontend