AI Revenue Engineer - HubSpot, Agents & LLMs (m/w/d)
Münchenonsitemid
via Personio
About this role
Wen wir suchen: Du konzipierst, implementierst und optimierst AI-native Revenue-Operations-Lösungen auf Basis von HubSpot Sales Hub, Revenue Hub und Data Hub. Du entwickelst skalierbare Lead-to-Cash- und Quote-to-Cash-Prozesse, die CRM, Customer Intelligence, Automatisierung und AI-gestützte Entscheidungsfindung miteinander verbinden. Du konfigurierst und entwickelst komplexe HubSpot-Umgebungen, einschließlich Workflows, Custom Objects, Reporting-Frameworks, CPQ-Prozessen und Revenue-Management-Funktionen. Du entwickelst Customer-Intelligence-Architekturen als vertrauenswürdige Grundlage für Revenue Operations, Forecasting und AI-gestützte Automatisierung.…
What we'd score you on
reqspace match rubricFive dimensions, recruiter-grade. Upload your resume and we'll generate a written explanation of where you fit and where the gaps are.
1
Skills match
For this role: r, openai, anthropic, claude, teams…
2
Level fit
This role is mid-level. We check your trajectory against it.
3
Domain experience
Your work in the role's domain matters more than your years total. We weight recent and direct experience.
4
Recency
A skill you used last quarter weighs more than one from five years ago. We grade on recency, not lifetime.
5
Location fit
This role is based in München. We weight your proximity and willingness to relocate.
Score yourself on this role.
Free · no card · written explanation included
Skills in this role
Pulled from the job description. These are the keywords we'll weight when scoring your fit.
ropenaianthropicclaudeteamshubspot
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