SlipstreamJobs tracks this role from the company's public career site. Apply directly on the employer's site.
Langdock is hiring its first dedicated RevOps Engineer to architect commercial data foundations and systems for the Revenue Operations function. The role combines applied data & BI (~70%) with cross-functional RevOps systems & processes (~30%).
In the Data & BI focus area, you will connect commercial, product, and billing data across CRM, billing systems, product databases, and GTM tools. You'll build reliable data models and reporting, maintain consistent core metrics, own revenue tracking and billing reconciliation, and provide actionable insights to inform commercial planning, quotas, compensation structures, and forecasting. You'll investigate growth drivers by partnering with Sales, Customer Success, Marketing, Partnerships, Finance, and Engineering to explore pipeline bottlenecks and validate hypotheses.
In the RevOps Systems & Processes focus area, you'll optimize GTM funnels and lifecycle workflows by defining clear cross-team handoffs (Lead-to-Opportunity, Sales-to-CS, renewals, expansions), ensuring CRM hygiene, and reducing friction. You'll also leverage Langdock's own AI agents and automation tools to eliminate repetitive operational tasks and feed learnings back into the product.
Langdock is a secure, model-agnostic AI platform used by over 10,000 companies daily—from fast-growing startups to Europe's largest enterprises. The company operates from its Berlin office with an in-person-first culture, catered meals, gym memberships, and a "calm urgency" ethos focused on ambitious execution and caring ownership.
REQUIREMENTS:
- Write clean, performant SQL with confidence; hands-on experience combining data from disparate sources into resilient relational models
- Engineering mindset: build sustainable data workflows, test edge cases, validate outputs, document work for others to build on
- Commercial thinking and curiosity about B2B SaaS growth mechanics; ability to distinguish vanity dashboards from decision-driving data
- Practical experience with CRM systems (e.g., HubSpot), modern billing data, and automation tools
- Hands-on experience using AI and automation tools to solve real problems and streamline operational work
- Ability to translate ambiguous business questions into clear technical requirements and communicate analytical findings with clarity
