SPREAD AI

Senior Customer Support Engineer

SPREAD AI

full-time

Posted on:

Location Type: Hybrid

Location: Berlin • 🇩🇪 Germany

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Job Level

Senior

Tech Stack

AWSAzureETLGoogle Cloud PlatformGraphQLJavaScriptPythonSQL

About the role

  • Own the helpdesk end-to-end, covering intake, triage, internal routing, and customer communication
  • Implement automations, SLA policies, forms, and runbooks, and publish weekly, monthly, and quarterly KPI reports
  • 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
  • Work with Product and Engineering to file high-quality bug reports, verify fixes, and close the loop with customers
  • Establish and evolve support operations
  • Define SLA targets (based on MSA), escalation paths, incident communication templates, and internal ticket flows that scale with volume
  • (Re-)Categorize user requests to distinguish between different request types and corresponding SLA targets
  • Sync with Product and Engineering to gain a firm understanding of our products and tech stack
  • Raise the bar on the helpdesk stack by refining queues, fields, and taxonomies, implementing automation rules
  • Create and maintain knowledge base articles and runbooks with the Technical Writer to drive self-service and deflect tickets
  • Coach teammates on effective handoffs, and keep ticket hygiene high so reporting and trend analysis stay reliable
  • Watch for performance and scale risks in the knowledge graph, and partner with Engineering on pragmatic mitigations
  • Represent Support in customer communication and give clear and empathetic updates during investigations and after resolution
  • Track and report support and reliability KPIs to Product leadership and propose quarterly improvement initiatives based on trend data

Requirements

  • 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
  • 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
  • Ability to reason about SaaS on AWS, Azure, and GCP, as well as on-prem environments
  • Strong debugging skills across operating systems, networking, and web or application layers
  • Understanding of the low-code application layer
  • Familiarity with automotive machinery, defence aerospace, or similar machine-building domains
  • A documentation habit with precise knowledge base articles, runbooks, and internal notes
Benefits
  • Attractive compensation + performance bonus
  • Mobility budget (e.g. Deutschlandticket)
  • Urban Sports Club membership
  • 30 vacation days
  • Workation options
  • A volunteering day
  • €1,000 learning budget

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
JavaScriptPythonSQLETLGraphQLdebuggingSaaSlow-code applicationcustomer communicationKPI reporting
Soft skills
customer-facingcommunicationcoachingproblem-solvingprocess improvementempathycollaborationattention to detailanalytical thinkingorganizational skills