Jobs at heyData GmbH

Own and optimize paid acquisition across Google, Microsoft, Meta, and LinkedIn Ads. Manage media budgets, improve full-funnel conversion rates, run A/B tests, analyze performance metrics, and drive efficient B2B pipeline growth. Collaborate with Sales, Content, Design, and Product Marketing to identify growth opportunities and strengthen demand generation. The role requires hands-on advertising experience, strong analytics, landing-page optimization, and proficiency with GA4 and HubSpot.

Own cross-functional revenue operations projects from planning through rollout. Improve sales pipeline hygiene, CRM compliance, forecasting inputs, account management workflows, lifecycle processes, reporting definitions, documentation, enablement, and data quality. Coordinate Sales, Marketing, Finance, Data, Technology, Privacy, and Account Management stakeholders. Identify process gaps and practical AI or automation opportunities to reduce manual work and improve GTM execution.

Own and optimize paid acquisition across Google, Microsoft, Meta, and LinkedIn Ads to generate qualified B2B SaaS pipeline. Manage media budgets, improve full-funnel conversion rates, run A/B tests, analyze performance metrics, and identify growth opportunities. Collaborate with Sales, Content, Design, and Product Marketing while using GA4, HubSpot, and advertising platforms to guide performance and ROI decisions.

Build and ship AI-powered automations for Sales, Marketing, Legal Ops, and other departments. Discover and prioritize manual workflow use cases, develop production-ready solutions with AI and low-code tools, document handoffs, measure business impact, track emerging technologies, and apply internal data and AI governance standards. The role offers ownership in shaping a new company-wide AI adoption function.

Build and deploy AI-powered automations across Sales, Marketing, Business Development, Legal Operations, and other departments. Discover and prioritize use cases, create production-ready workflows using AI and low-code tools, document handoffs, measure business impact, track emerging AI capabilities, and apply data and AI governance standards.