Jobs 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.

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.

Support recruitment, onboarding, HR administration, payroll, employer branding, employee engagement, learning and development, and HR projects. Responsibilities include drafting job postings, screening CVs, scheduling interviews, maintaining employee records, preparing documents, supporting payroll, organizing events and training, tracking participation, analyzing HR data, and exploring AI tools to improve HR workflows.

Build and maintain reliable data pipelines, models, and semantic layers for revenue analytics or product insights. Establish trusted KPI sources, reconcile data across systems, improve data quality, investigate anomalies, and support executive reporting and forecasting. Collaborate with finance, sales operations, product, customer success, analysts, and architects to translate business needs into scalable technical solutions. Participate in occasional planned month-end pipeline monitoring.

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.

Design and build scalable 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 machine-learning capabilities, contribute to architecture and technical standards, use AI-assisted development tools, mentor engineers, and participate in code reviews and continuous improvement.

Own the presales journey for enterprise technology asset and network intelligence solutions. Conduct discovery, quantify business value, deliver tailored demos and strategic storytelling, support complex sales cycles, and partner with Account Executives, Product, Engineering, Customer Success, and Marketing. Translate customer needs across IT, cybersecurity, governance, cloud, and hybrid environments into ROI-focused solutions and identify cross-solution integration opportunities.

Own and scale global B2B demand generation and ABM programs across paid media, SEO/SEM, email, webinars, events, content syndication, and direct mail. Drive sourced and influenced pipeline, improve opportunity velocity, align campaigns with Sales, and optimize ROI through attribution, dashboards, A/B testing, and AI-powered automation. The role requires strong SaaS marketing expertise, analytical capabilities, and cross-functional collaboration in a cybersecurity and IT asset intelligence environment.

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.

The Senior Accountant will manage full-cycle accounting across multiple legal entities, including supplier payments, payroll entries, bank processing, general ledger maintenance, reconciliations, month-end and year-end close, fixed assets, VAT, tax support, and audits. The role also supports AP and AR teams and leads accounting process improvements, including AI-assisted workflows using Microsoft Copilot and Claude. Strong IFRS, tax, Excel, communication, and prioritization skills are required.

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.

Provide technical support to global customers by analyzing, reproducing, troubleshooting, and resolving complex IT environment issues. Work across Windows, Linux, macOS, VMware, Active Directory, AWS, and Azure; document cases; maintain technical knowledge bases; follow up on open issues; and meet SLAs. The role develops toward customer calls and SME ownership while using AI tools to accelerate troubleshooting.

Leads strategic Revenue Operations across forecasting, GTM planning, funnel analytics, sales operations, deal desk, pricing, commissions, data governance, and AI transformation. Owns forecast accuracy, unified revenue reporting, annual planning, territory and quota models, commission systems, and GTM technology priorities. Partners with executive leadership and cross-functional teams while managing a team of 2 direct and 9 indirect reports. Drives AI adoption in forecasting, analysis, planning, deal operations, and reporting.

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.