Jobs at Lansweeper

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 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.

Own the full commercial contracting lifecycle, including drafting, negotiation, redlining, approvals, renewals, and signatures. Manage CLM tools, clause libraries, templates, metrics, and AI-driven workflows. Partner with Sales, Deal Desk, Finance, Security, HR, Product, and Marketing to streamline agreements and coach teams on standard terms. The role requires strong SaaS contract expertise, legal operations ownership, AI fluency, and autonomous cross-functional collaboration.

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.

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.

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.

Design and build AI-native, high-performance distributed backend platforms for IT/OT/cybersecurity. Integrate LLMs and ML into production workflows, develop data pipelines and real-time processing, mentor engineers, and drive architectural direction and AI-assisted engineering practices.

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.

Lead the development of AI-native workflows and product operations at Lansweeper, integrating engineering and go-to-market functions, enhancing automation, and driving efficiency across product management and marketing.

Lead a team of 4-5 Account Executives to build a mid-market and enterprise new-business acquisition engine across AMER. Own territory strategy, pipeline rigor (SPICED, MEDDPICC), Salesforce forecasting, and outbound execution using Outreach and LinkedIn Sales Navigator. Improve conversion, deal velocity, and commercial structuring while embedding AI tools into prospecting, coaching, and forecasting.