GTM​/Revenue Operations Engineer

About the Company

Our client is one of Europe's fastest-growing AI startups, building an AI coworker that automates real business work. Rather than scaling through headcount, they scale through software, automation, and AI—building internal systems that continuously improve how the business operates.

Backed by a successful Series A round, they're growing rapidly across self-serve and enterprise markets while maintaining a small, highly technical team where every hire has outsized impact.

• Locations: Munich, Germany | New York, NY | Warsaw, Poland
• Employment Type: Full-time
• Level: Mid-Senior Level
• Compensation: Top-of-market salary + meaningful early-stage equity
• Work Authorization: Required for one of those locations

As GTM/Revenue Operations Engineer, you'll build the revenue engine powering the company's next stage of growth. You'll own the systems connecting CRM, product usage, billing, attribution, and automation, turning fragmented data into a trusted source of truth that directly drives revenue.

This isn't a traditional engineering role. You'll combine software engineering, data engineering, automation, and business thinking to replace manual GTM work with scalable systems. Working directly with founders and commercial leadership, your work will influence company performance from day one.

• Own the entire GTM technology stack, including CRM, billing, product data, attribution, and automation
• Build scalable automations replacing manual sales and operations workflows
• Develop revenue pipelines, lead scoring, routing, enrichment, and lifecycle automation
• Build dashboards covering MRR, NRR, CAC, payback, pipeline, activation, expansion, and retention
• Connect Product, Sales, Growth, and Customer Success into a unified data ecosystem
• Build APIs, integrations, and internal tooling that improve commercial execution
• Partner directly with founders to continuously improve revenue systems
• Ship production-ready solutions quickly and iterate based on measurable business impact

• Strong software engineering fundamentals with production-quality Python, Type Script, and SQL
• Experience building APIs, integrations, automations, and data pipelines
• Excellent understanding of databases, schemas, and modern SaaS architectures
• Ownership mentality with strong commercial awareness
• Ability to move quickly, prototype, measure, and iterate
• Comfortable working in highly ambiguous startup environments

• GTM Engineering, Revenue Engineering, Rev Ops, or Analytics Engineering experience
• Experience with Salesforce, Hub Spot, Attio, Stripe, dbt, Big Query, or Snowflake
• Experience at early-stage or venture-backed startups
• Experience building systems supporting both self-serve and enterprise sales motions

• Top-of-market compensation
• Meaningful early-stage equity
• Direct collaboration with founders and commercial leadership
• High ownership with immediate impact
• Small, ambitious, engineering-first culture
• Opportunity to define the company's revenue infrastructure from the ground up
• Fast-moving environment where your work reaches production quickly