GTM Engineer

Role overview Build measurable, automated go-to-market systems that help business-to-business companies find and engage suitable prospects. The role combines data enrichment, personalized outreach, lead prioritization, integrations, and experimentation, with work spanning customer systems and internal growth operations.

Responsibilities - Build and improve outbound prospecting workflows that connect data sources, messaging channels, and custom integrations. - Create AI-assisted personalization processes that turn prospect information into relevant messages at scale. - Design lead scoring that helps teams identify and prioritize promising opportunities. - Connect marketing and sales tools to customer relationship management systems, maintaining accurate data flows. - Run experiments, measure outcomes, and expand approaches that demonstrate results. - Develop internal growth systems and use AI tools to accelerate research, writing, and workflow creation.

Requirements - Experience building prospecting, lead generation, or growth systems with demonstrable business results. - Understanding of APIs, webhooks, and how data moves between business tools. - Ability to write SQL queries and basic scripts in Python or JavaScript when needed. - Knowledge of email deliverability, including sender reputation and authentication practices. - A test-and-measure approach to improving conversion and pipeline performance. - Comfort working independently with incomplete information and using AI tools as part of regular work.

Nice to have - Experience with prospect data enrichment, multichannel outreach, no-code automation, customer relationship management, or growth analytics platforms. - Ability to create personalization that uses meaningful prospect context rather than simple name substitution.

Benefits and work setup - Remote work from anywhere in Europe. - Base compensation plus a performance bonus, an annual learning budget, a home office setup budget, and equity participation. - Potential growth into a growth engineering leadership role.

Candidates are asked to share a growth system they built and its results, explain how they would approach an outbound system for a defined business audience, and describe what interests them about AI-enabled go-to-market work.