Top Tech Jobs & Startup Jobs

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.

Build and deploy AI agents and integrations across Lansweeper’s go-to-market application stack. Configure and troubleshoot GTM systems, connect applications with Salesforce, identify automation opportunities, and implement reliable agentic workflows with observability and human-in-the-loop controls. Partner with Revenue Operations, Sales, and Customer Success to translate business needs into scalable solutions, while supporting Salesforce administration and evaluating emerging AI and GTM tools.

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.