Revenue Operations Customer Success

On Site Full TimeDigitaleo

About Digitaleo

For over 20 years, Digitaleo has been the Marketing Suite for retail networks with:

  • A SaaS platform of 8 modules: direct marketing, social networks, local visibility, customer reviews, print, local ads, media library, store locator
  • A service offering to delegate the management and optimization of our clients’ campaigns
  • Meta Business Partner & Google Premier Partner 2026 distinctions highlighting the performance, expertise and impact we generate for our clients

The Role

The Customer Success team is responsible for supporting our clients in achieving their business objectives through the use of our SaaS platform (local marketing suite).

We are looking for a CS Ops professional to lead and optimize the Customer Success service operations and generalize the use of AI solutions to directly improve the performance of CS teams (expansion, retention).

This is not a Customer Success Management position; you will not manage a client portfolio.

Your role will be central: by optimizing the daily work of the teams (via tools, processes and automations), you will give them the opportunity to focus on high-value-added projects where their true expertise lies.

Daily Responsibilities

CS OPERATIONS MANAGEMENT (collaboration with SalesOps)

  • Structure and harmonize revenue cycle processes (lead → closing → onboarding → expansion → renewal)
  • Maintain, document and evolve tools (CRM, CS platform, etc.)
  • Define and track key KPIs: adoption, expansion (pipeline, sales cycle…), churn, health score…
  • Ensure data quality, reliability and exploitation

AI ADOPTION AND INTEGRATION

  • Identify high-value AI use cases: churn prediction, upsell/cross-sell recommendations, automation of repetitive tasks (reporting, emails, reports) via tools such as Zapier or Make
  • Deploy AI tools (internal or SaaS)
  • Train and support CS teams in their use
  • Measure impact (productivity, performance, customer satisfaction)

TEAM ENABLEMENT & PRODUCTIVITY

  • Design efficient and automated workflows
  • Reduce operational burden on field teams
  • Implement playbooks
  • Improve onboarding of new employees

DATA AND INSIGHTS

  • Build actionable dashboards
  • Provide analysis to guide business decisions
  • Identify growth levers and friction points
  • Collaborate with Finance and Management for forecasting

CROSS-FUNCTIONAL COLLABORATION

  • Be the key interface between Sales, Customer Success, Finance, Management, Product and Tech
  • Participate in global alignment around revenue and customer experience

Required Experience & Skills

  • 4-8 years of experience in CS ops, Sales Ops or RevOps in a SaaS environment or scale-up
  • Mastery of CRM or CS platform tools (Salesforce, Hubspot, Planhat, etc.)
  • Experience with AI solutions (automation, LLM, no-code/low-code)
  • Good systemic vision of customer portfolio revenue (upsell, renewal)
  • Ability to drive change
  • Ideally experience in data modeling or BI

First Weeks Expectations

  • Day 15: Meet all Digitaleo departments
  • Month 1: Identify first projects and provide recommendations for initial optimizations
  • Month 3: Enable teams to drastically reduce operational and time-consuming tasks (via automation, AI solutions)
  • Month 6: Implement tools enabling data exploitation and informed decision-making

What We Offer

  • Well-structured onboarding for smooth integration
  • 12 RTTs/year (executive status)
  • 2 days remote work/week after integration (approx. 1 month)
  • Support for sustainable mobility, metro at the foot of the Rennes office
  • Vacation bonus, meal ticket card, top-tier health insurance
  • Office manager always available to ensure a pleasant work environment and team activities
  • 1 annual company seminar, generous and attentive CSE

Committed to inclusion, Digitaleo guarantees accessibility of its positions to people with disabilities. We value the diversity of backgrounds and the richness of each profile, with equal competencies, in accordance with regulatory provisions (article L5212-13 of the Labor Code).

To apply for this job please visit fr.linkedin.com.


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