Jobs / United States / Legartis
Software Engineer – Revenue Operations (Leipzig)
Legartis · 🇺🇸 Leipzig
Sponsorship verdict
No sponsorship evidence yet
No government record and no wording either way. Not a refusal — ask the recruiter.
- No government sponsor record hereThis employer posted directly and does not match a government sponsor register.
- The posting doesn’t mention sponsorshipSilence isn’t a refusal — ask the recruiter before investing much time.
- No salary bar for this routeH-1B has no fixed salary bar: the employer must pay at least the prevailing wage for the role and area. Cap-subject employers enter a lottery weighted by wage level. Source: https://www.federalregister.gov/documents/2025/12/29/2025-23853/weighted-selection-process-for-registrants-and-petitioners-seeking-to-file-cap-subject-h-1b, rules effective 2026-02-27.
- Confirmed live todayWhen a source last listed this job as open.
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Sponsor Radar — Legartis
This employer posted directly and does not match a government sponsor register.
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About the role
Description Legartis is a leading Legal AI company transforming how organizations manage and work on their contracts. As we scale across DACH and into new European markets, our go to market engine needs an operational backbone that keeps pace with it. We are looking for a software engineer with RevOps tooling experience to own HubSpot and the integrations around it end to end, and to build our GTM stack into a reliable, well-engineered system that Sales, Marketing and Customer Success build on every day. Your mission • Own HubSpot as our core GTM system: architecture, workflows, automations, custom properties and integrations across the wider tool stack, including Younium for subscription and billing data. • Design, build and operate the integrations and data pipelines between HubSpot, Younium and our product platform as production software: written in Python, version controlled, tested, monitored and deployed through CI/CD. • Build event driven integrations on our Kafka based platform, so that product, usage and billing events flow reliably into the GTM stack. • Design and enforce a clean data foundation, with consistent lifecycle stages, lead status, deal stages, attribution logic and territory and tier structures that hold up as the team grows. • Build and maintain the reporting and dashboards that give Sales, Marketing and leadership real time visibility into pipeline, forecast and rep level performance. • Partner closely with Sales leadership on the metrics that matter and own the infrastructure that surfaces them reliably. • Act as the connective tissue between Sales, Marketing and Customer Success, keeping funnel definitions and handoffs consistent end to end. • Support forecasting, pipeline reviews and deal desk style workflows, including approvals and pricing exceptions, alongside Sales leadership. • Translate commercial priorities into system level changes: lead routing and scoring, territory design, comp structure alignment. Your profile • 3 or more years as a software engineer, including hands on work with Revenue Operations, Sales Operations or Marketing Operations tooling, ideally in B2B SaaS. • Strong software engineering fundamentals, ideally in Python: clean, tested and maintainable code, version control, code review and CI/CD. • You code with AI every day: you use AI coding tools such as Claude Code or Cursor to ship faster, and you have the engineering judgement to review, test and own what they produce. • A solid understanding of B2B sales processes and the tools around them: pipeline stages, lead routing, forecasting, quoting and billing. • A track record of integrating a CRM with other business tools (e.g. billing, marketing, support) via REST APIs and webhooks, writing the integration code yourself rather than relying on no code tools. • Understanding of event driven architectures and messaging systems such as Kafka: producers and consumers, idempotency, error handling and retries. • Comfortable with SQL and data modelling. • Nice to have: experience hosting and operating the services you build, e.g. Docker, Kubernetes, cloud infrastructure such as AWS, and monitoring. • Deep hands on HubSpot expertise at admin and API level: workflows, custom properties, reporting, permissions. Experience with Salesforce or another CRM is a plus. • A track record of building or cleaning up CRM data foundations at scale, not just running reports on top of someone else's setup. • Strong analytical instincts and comfort turning messy data into a dashboard people actually use. • Experience working cross functionally with Sales, Marketing and Customer Success, and the confidence to push back when something does not add up. • A structured, ownership driven way of working, comfortable in a fast moving scale u