Founding RevOps Lead, HubSpot & Analytics

Joko USA Inc.; Paris, France, Western Europe, Europe; Hybride; EUR 90 000 - 130 000; Plein temps

Avantages offerts par ce poste

Top-market compensation

Equity for everyone

AI upskilling half-day

Yearly offsite and team events

ClassPass/subscription support

Leave policy for new parent

Résumé du poste

Joko is seeking a Revenue Operations Manager to design the first RevOps function for its fast‑growing B2B team. You will architect HubSpot, own analytics and scoring, and streamline prospecting, qualification, closing, onboarding, renewal, and expansion across France, the US, and future markets.

You will work closely with Ops, Data, and Tech, delivering data-driven recommendations while enabling automation and AI to boost speed and reliability. Fluency in English is required.

Qualifications

• 4+ years in Revenue Operations, Sales Operations, Customer Operations, or Strategy & Operations in a fast-growing B2B environment.
• Architected or managed a CRM at scale (HubSpot or Salesforce).
• Strong SQL skills and experience with a BI tool (Looker, Metabase, Tableau).
• Interest in AI and scalable automation as core levers for RevOps.

Responsabilités

• Design and own a scalable, multi-country HubSpot CRM architecture.
• Build analytics, pipeline visibility, and scoring models for the B2B funnel.
• Streamline end-to-end B2B processes with clear SLAs and ownership.
• Partner with business units to identify bottlenecks and drive RevOps as a function.

Connaissances

HubSpot/Salesforce CRM

SQL

BI tools (Looker/ Tableau/ Metabase)

Automation & AI awareness

Cross-functional collaboration

Strategic thinking

Outils

HubSpot

Salesforce

Description du poste

Joko is seeking a Revenue Operations Manager to design the first RevOps function for its fast‑growing B2B team. You will architect HubSpot, own analytics and scoring, and streamline prospecting, qualification, closing, onboarding, renewal, and expansion across France, the US, and future markets.

You will work closely with Ops, Data, and Tech, delivering data-driven recommendations while enabling automation and AI to boost speed and reliability. Fluency in English is required.