Jobs at Lansweeper

Own enterprise account expansion across AMER through cross-sell, upsell, and multi-product adoption. Manage complex SaaS sales cycles, build executive relationships, execute strategic account plans, identify whitespace opportunities, maintain pipeline forecasts, and collaborate with Customer Success, Solutions Engineering, Product Marketing, and Digital Sales to drive ARR growth and long-term customer value.

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 expansion and cross-sell motions within large enterprise DACH accounts, develop strategic account plans, build executive relationships, lead complex enterprise SaaS sales cycles, coordinate with Customer Success and Solutions Engineering, manage pipeline and forecasting, and provide product and GTM feedback to drive ARR growth.

Own strategic relationships with Lansweeper’s largest enterprise customers from onboarding through renewal and expansion. Build outcome-based success plans, lead executive QBRs and EBRs, quantify ROI, monitor health and usage signals, manage escalations, and identify expansion opportunities. The role partners closely with Sales, Account Management, Product, Support, and Engineering while using AI and customer success tools to improve account planning, risk detection, and customer outcomes.

Build and deploy AI agents and integrations across the go-to-market application stack. Responsibilities include configuring GTM systems, developing Salesforce data pipelines, identifying automation opportunities, engineering prompts, monitoring agent performance, implementing human-in-the-loop controls, troubleshooting workflows, and evaluating new AI tools. The role partners with Revenue Operations, Sales, Customer Success, and Salesforce teams to deliver scalable AI-augmented solutions.

Own enterprise expansion and cross-sell across EMEA, managing strategic account plans, executive relationships, complex SaaS sales cycles, pipeline forecasting, and CRM documentation. Drive ARR growth through whitespace analysis, multi-product adoption, and value realization while collaborating with Customer Success, Solutions Engineering, Product Marketing, and Digital Sales. Engage procurement, security, and C-suite stakeholders, and use AI tools to improve account research and outreach.

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 or distributed systems. Use AI-assisted development tools to code, test, document, and design while validating generated outputs. Contribute to architecture and technical direction, apply systems thinking across data models, APIs, and service boundaries, and mentor peers. The role requires collaboration across Product, UX, and Engineering in a hybrid Austin environment.

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.

Provides written technical support to global customers, troubleshooting Lansweeper issues across Windows, Linux, macOS, VMware, Active Directory, AWS, and Azure. Reproduces issues in lab environments, documents solutions, manages cases and SLAs, maintains technical documentation, and supports escalated customer calls. The role requires strong networking, virtualization, cloud, SQL, and IT infrastructure skills, with opportunities to develop subject-matter expertise and use AI tools to improve resolution speed.

Troubleshoot customer technical support cases, reproduce issues in a lab spanning Windows, Linux, macOS, VMware, Active Directory, AWS, and Azure, and document resolutions clearly. Manage high-volume caseloads, follow up on open cases, meet SLAs, maintain documentation in Confluence, Jira, and Salesforce, and eventually support severity-one and enterprise customers. The role requires strong networking, systems administration, virtualization, cloud, SQL, communication, and organizational skills.

Own the full sales cycle for net-new enterprise accounts across EMEA, targeting organizations with 1,000+ employees. Generate outbound pipeline, qualify inbound and partner opportunities, engage CIOs and CISOs, expand subsidiary opportunities into global deals, and close $25K–$600K+ ACV contracts. The role requires consultative enterprise selling, executive engagement, multilingual communication, channel collaboration, and daily use of AI for research and personalization.

Design, build, and maintain high-scale distributed backend services and data pipelines for asset discovery, recognition, and enrichment. Integrate AI/ML into workflows, solve concurrency and fault-tolerance problems, participate in architecture and code reviews, mentor engineers, and use AI-assisted development tools in daily engineering practice.

Perform day-to-day accounting: process AP/AR, reconcile ledgers, post journals, assist month-end and bank reconciliations, support VAT/statutory filings and audit prep, maintain records, and collaborate with internal and external partners to ensure accurate financial operations.

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.

As a Principal Engineer for the Discovery team at Lansweeper, you'll design high-performance software components, develop network scanning protocols, and create secure integrations with partner technologies while driving engineering excellence.

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.

Design, build, and maintain revenue data models and reconciliations across CRM, billing, and ERP. Deliver dashboards, forecasts, and analyses that explain revenue trends and support sales, finance, and executive decisions while improving data quality and integrity.