GTM System Engineer

In this hands-on role, you will help rebuild Nivoda's GTM infrastructure by transforming manual, fragmented processes into reliable, automated systems. You’ll work across GTM Engine, Salesforce, Customer.io, enrichment services, Snowflake, and other tools to streamline data and workflow signaling. You’ll translate stakeholder requests into practical technical implementations and ship production-ready solutions with appropriate monitoring and risk controls. You’ll collaborate closely with the Head of Data, engineers, and GTM teams to enable measurable performance and scalable growth. This is a chance to shape how we connect data, systems, and processes to accelerate revenue growth in a fast‑g

• Flexible working hours
• Private health insurance
• Opportunities for growth and learning
• Flexible compensation card (meals, transport, childcare)
• Unlimited holiday allowance
• Exponential expansion phase

• Turn unclear GTM process requests into concrete technical requirements and implementations
• Build integrations, event flows, automations, and changes to the GTM Engine
• Evaluate build vs buy vs configure options and prefer native capabilities when possible
• Design for production readiness with testing, deduplication, retry handling, and monitoring
• Ship and support deployments with version control, reviews, and safe rollout
• Collaborate with Salesforce, other platform owners, and Commercial Data Analyst to ensure clean data emission for performance measurement
• Document flows, decisions, and recovery steps to reduce single points of failure

• 2+ years in software, systems or integration engineering
• Shipped integrations or services using APIs, webhooks or event-driven systems
• Programming in Python, JavaScript or TypeScript; working SQL; Git and code review
• Experience integrating with CRM, payments, finance, marketing or operations platforms
• Ability to work with non-technical stakeholders and translate needs into buildable solutions
• Ability to learn unfamiliar systems quickly and choose simple, production-ready approaches
• Consideration of failure modes such as unavailable APIs, duplicates, or conflicting updates

• Stakeholder communication
• Critical thinking and problem framing
• Proactive and autonomous working style
• Python
• JavaScript or TypeScript
• SQL