Ausbildung zum Fachinformatiker für Systemintegration bei AGROFERT Deutschland GmbH, um IT - Systeme zu planen, zu installieren und zu warten.
About the role
- GTM Systems Engineer responsible for designing, operating, and scaling systems for Mollie’s GTM engine. Collaborating with teams to build data-driven solutions for sales, marketing, and customer success.
Responsibilities
- Collaborate closely with application engineers, data and machine learning teams, and process managers to design, build, and iterate on GTM systems and workflows that support our commercial strategy.
- Administer and optimize our core GTM stack, including HubSpot, Iterable, Bigmind AI, Cognism, Similarweb, Lusha, and related sales/marketing tools.
- Design and maintain integrations between GTM tools and our data warehouse using Hightouch and APIs, ensuring accurate, real-time data for GTM teams and ML-driven use cases.
- Partner with Revenue Operations, Marketing, and Sales to translate business requirements into scalable technical solutions, experiments, and GTM programs.
- Work with data and ML teams to activate predictive models (for scoring, churn, or next best action) inside GTM tools and campaigns.
- Maintain clear documentation of data models, workflows, and integrations to support scalability, transparency, and compliance.
- Identify opportunities to simplify the GTM tech stack, reduce spend, and improve data quality and reporting.
Requirements
- 4+ years of experience as a GTM Systems Engineer, RevOps Engineer, or Enterprise Applications Engineer supporting sales and marketing teams.
- Advanced skills in administering and integrating GTM platforms such as HubSpot, Iterable, Hightouch, or adjacent SaaS tools.
- Strong understanding of SaaS application lifecycle management and GTM concepts such as lead routing, scoring, segmentation, and campaign orchestration is a plus.
- Advanced technical troubleshooting abilities across integrated SaaS environments, ensuring efficient resolution of data and workflow issues.
- Impeccable technical documentation and knowledge base writing skills, making complex systems easy to understand and maintain.
- Ability to work independently with excellent organization, prioritizing a busy roadmap and balancing quick wins with long-term architecture.
- A collaborative spirit, comfortable working in cross-functional teams with engineering, data, ML, operations, and business stakeholders.
- Proactive in promoting technology innovation, researching and evaluating new GTM and AI-driven technologies to improve performance and efficiency.
- Familiarity with secure handling of customer and prospect data, and with security and privacy practices relevant to GTM systems.
Benefits
- Health insurance
- Paid time off
- Flexible work arrangements
- Professional development
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Location requirements
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