Teams at Lansweeper

Design and maintain scalable cloud-native data processing services using Java and Go. Build ETL pipelines, data enrichment workflows, RESTful APIs, and GraphQL endpoints while guiding AI-assisted development. Own technical decisions, architecture, testing, code quality, and CI/CD practices across distributed systems serving thousands of enterprise environments. Collaborate with engineering and product teams in an agile environment.

Own and improve Lansweeper’s go-to-market application stack, including Salesforce administration, integrations, data pipelines, and troubleshooting. Identify opportunities to reduce operational overhead through AI, then design, deploy, monitor, and refine production AI agents using platforms such as Workato, LangChain, Claude, and Salesforce Agentforce. Build human-in-the-loop controls, evaluate new tools, and translate GTM stakeholder needs into scalable AI-enabled solutions.

Own the post-sales technical relationship for enterprise and mid-market accounts from onboarding through renewal and expansion. Lead implementation, technical health checks, adoption assessments, success planning, training, and enablement. Partner with Sales, Support, and Product teams to resolve issues and influence the roadmap. Use platform data, health metrics, dashboards, and AI tools to identify risks, improve adoption, and drive measurable customer outcomes.