Gradium
GTM Engineer
- Compensation
- Not disclosed
- Location
- Paris
- Work setup
- Not specified
- Seniority
- Not specified
- Employment
- Not specified
- Experience
- Not specified
- Category
- Sales
- Posted
Skills
Must have
- Experience in GTM Engineering, RevOps, or Growth Engineering in a fast-scaling SaaS or AI startup;
- Strong command of sales systems, data architecture, and GTM analytics;
- Track record building automation, tooling, and processes that drive revenue efficiency, typically with tools such as Clay and Attio;
- Deep fluency in Python and SQL and experience with analytics and forecasting models;
- Builder mindset: you see GTM systems as products and engineer for scale, not patchwork;
- Skilled cross-functional partner who aligns Sales, Marketing, and Product around shared metrics.
Nice to have
- Familiarity with LLM orchestration and Voice AI frameworks (e.g. Livekit, Pipecat)
Full description
At Gradium we're looking for a GTM Engineer to join our team.
About the job
Gradium is looking for a GTM Engineer to architect a technical, high-velocity growth engine. You will sit at the intersection of engineering and sales to drive user growth and conversion. This is a high-impact role where you will build automated systems using LLMs, data APIs, and voice AI to revolutionize how we scale.
Responsibilities
- Architect the Signal Engine: Build systems to track high-intent triggers like tech stack changes or social signals and automate lead routing;
- Drive the "Aha Moment": Engineer automated bridges between usage milestones and outreach to optimize conversion;
- Scale Personalization: Use LLMs and Voice AI to generate hyper-personalized outbound content and custom video demos at scale;
- Community Content: architect the stack to to programmatically surface and feature and content created by our community of users;
- Deploy AI Agents: Develop internal agents for prospect research, lead enrichment, and automated meeting prep;
- Execute Experiments: Design and run A/B tests on onboarding flows and self-serve funnels;
- Own the Analytics Stack, including RevOps to monitor funnel health and attribution.
Qualifications
- Experience in GTM Engineering, RevOps, or Growth Engineering in a fast-scaling SaaS or AI startup;
- Strong command of sales systems, data architecture, and GTM analytics;
- Track record building automation, tooling, and processes that drive revenue efficiency, typically with tools such as Clay and Attio;
- Deep fluency in Python and SQL and experience with analytics and forecasting models;
- Builder mindset: you see GTM systems as products and engineer for scale, not patchwork;
- Skilled cross-functional partner who aligns Sales, Marketing, and Product around shared metrics.
Nice to have:
- Familiarity with LLM orchestration and Voice AI frameworks (e.g. Livekit, Pipecat)
Apply for the job
Do you want to join our team as our new GTM Engineer? Then we'd love to hear about you!