Jobs at Lansweeper

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 Lansweeper’s product knowledge repository and use AI to keep product information accurate. Create and maintain Academy courses, certifications, and videos that help customers and partners deploy and operate Lansweeper. Represent the customer by supporting complex deployments, maintaining product labs, developing workarounds, and providing product feedback. Collaborate with Product Managers, subject matter experts, enablement colleagues, and instructional design partners while developing AI workflows to improve knowledge quality and customer outcomes.

Own a high-volume B2B SaaS customer portfolio, driving retention, renewals, engagement, and expansion through segmented, data-driven lifecycle programs. Identify account risk, intervene in escalations and opportunities, enable an offshore support team, and improve playbooks, workflows, automation, and self-service capabilities. Collaborate cross-functionally with Product, Engineering, Marketing, Sales, and Operations to scale customer impact.

Design and build scalable Go or Rust backend services and data pipelines for asset discovery, recognition, and enrichment. Solve distributed-systems challenges involving concurrency, fault tolerance, and high-throughput processing. Integrate AI and ML capabilities, use AI-assisted development tools, contribute to architecture and technical standards, mentor engineers, and participate in code reviews and continuous improvement.

Own strategic Revenue Operations across forecasting, funnel analytics, GTM planning, sales operations, deal desk, pricing, commissions, data governance, and AI transformation. The role establishes reliable forecasting and unified revenue data, leads annual planning and reforecasts, manages commission systems and pricing operations, and drives AI-enabled workflows. Reporting to the COO, the director leads a distributed team and influences Marketing, Sales, Customer Success, Finance, Data, Systems, and AI teams.

Senior Software Engineer responsible for designing scalable, reliable, observable, and well-tested backend or distributed systems. The role requires expertise in C, C++, or Rust; data modeling, APIs, service-oriented architectures, SQL, networking, and infrastructure. The engineer will work in AI-assisted development workflows, validate AI-generated code, contribute to architecture and technical direction, document designs, mentor peers, and collaborate across Product, UX, and Engineering.

Own free-to-paid SaaS conversion across a high-volume account portfolio. Build AI-powered sales automation, intent-based workflows, nurture sequences, and self-serve buying journeys while personally closing high-potential accounts. Collaborate with RevOps, Marketing, Engineering, and product teams to improve conversion and automated onboarding. Requires a systems-oriented, AI-first approach to prioritization, experimentation, and scalable digital sales execution.

Own Lansweeper’s global ISV partnership strategy, focusing on cybersecurity technology partners. Recruit and onboard new ISVs, expand existing accounts, develop embedded and co-selling models, align integration roadmaps, execute joint marketing and sales programs, and track partner-sourced pipeline, ARR, and adoption KPIs. The role also represents Lansweeper at international industry events and uses AI tools to improve partner research, prospecting, proposals, CRM workflows, and performance reporting.

Drive consultative presales for Lansweeper’s AI-powered cyber asset intelligence platform. Responsibilities include customer discovery, qualification, value and ROI storytelling, enterprise demonstrations, proof-of-concept strategy, and technical partnership with Account Executives through deal close. The role engages IT, security, and executive stakeholders across hybrid IT, cloud, and cybersecurity environments, while collaborating with Product, Engineering, Customer Success, and Marketing to address customer needs and expand platform adoption.

Design and build scalable, reliable, observable, and well-tested backend and distributed systems. Work in AI-assisted development workflows by decomposing problems, validating AI-generated outputs, and using tools such as Claude and code assistants. Contribute to architecture, data modeling, APIs, service boundaries, documentation, and technical direction while mentoring peers and collaborating across Product, UX, and Engineering.

The Digital Sales Manager will lead a global sales team, focusing on Net Revenue Retention and expansion by transforming manual processes into AI-assisted operations and maintaining performance across 10,000+ accounts.

Build and lead a four-person Digital Revenue Manager team to manage renewals and growth across a €40M ARR enterprise book. Own GRR and NRR targets, implement programmatic lifecycle management, churn prediction, AI-assisted workflows, forecasting discipline, and cross-functional coordination with RevOps and Strategic Expansion.