At SPREAD, we enable engineering teams at leading companies such as Mercedes-Benz, Volkswagen, BMW, Bosch, and Rheinmetall to navigate the complexities of software-defined vehicles and products. Our platform transforms intricate engineering and software data into actionable Engineering Intelligence, providing teams with preconfigured applications and AI agents to access and apply critical product knowledge more effectively. Recognized for our innovation with accolades like the 2024 SPARK AI Innovation Prize (by Handelsblatt & McKinsey), inclusion in the EU AI Champions Initiative, and ranking among LinkedIn’s Top 20 Startups in DACH, SPREAD offers a dynamic environment where your contributions directly impact the evolution of engineering intelligence.
Own the helpdesk end-to-end, covering intake, triage, internal routing, and customer communication. Reproduce and resolve, route or escalate issues across product features, ETL pipelines, GraphQL queries, database traversals, and SQL scripts. Capture and follow up, if not provided by a user/client, evidence such as screenshots, videos, logs, and traces, and deliver clear Root Cause Analyses.
~ Raise the bar on the helpdesk stack by refining queues, fields, and taxonomies, implementing automation rules, and connecting with status pages, analytics, and logging or telemetry where useful.
~ Create and maintain knowledge base articles and runbooks with the Technical Writer to drive self-service and deflect tickets.
~ Track and report support and reliability KPIs to Product leadership and propose quarterly improvement initiatives based on trend data.
Fluent German and English with confident customer-facing writing and speaking.
~5+ years in enterprise technical support or a similar customer-facing role for complex B2B software with a track record of setting up processes and tooling.
~ Hands-on experience with helpdesk tooling e.g. Jira Service Management, including SLAs queues, forms, automations, and dashboards, with comfort in defining escalation paths and reporting cadences.
~ Proficiency in JavaScript and/or Python with the ability to write SQL scripts for diagnostics and data validation.
~ Practical familiarity with ETL concepts, GraphQL, and databases, with the ability to isolate data flow and query issues.
~ Strong debugging skills across operating systems, networking, and web or application layers, with confidence in gathering logs and traces and structuring hypotheses.
~ Familiarity with automotive machinery, defence aerospace, or similar machine-building domains, and understanding of how complex systems are built.
~ Category Creators : Our Agentic Engineering Intelligence platform connects fragmented hardware and software data into dynamic Product Twins. AI agents operate on this foundation to automate compliance checks, dependency analysis, and spec generation — enabling 10× faster time-to-market and 50% lower lifecycle costs for OEMs like Volkswagen, Mercedes-Benz, and Rheinmetall.
Industry-Relevant Impact : Traditional PLM systems hit their limits with software-defined products. Attractive compensation + performance bonus, mobility budget (e.g. Deutschlandticket), Urban Sports Club membership, 30 vacation days, workation options, a volunteering day, and a €1,000 learning budget.
Security & Flexibility : ISO 27001 and TISAX certified, fully GDPR-compliant, with flexible deployments (cloud or on-prem) and a hybrid work model designed to fit your life.