[Hiring] Senior Revenue Operations Manager @Infinni Innovations S.A.

Role Description

What you will do:

• Revenue strategy and planning:
  • Help set the RevOps roadmap, OKRs and priorities with the revenue leadership.
  • Support annual and quarterly planning: targets, capacity, territories or segments, and coverage models.
  • Turn business goals into clear, measurable processes and system changes.
• Sales Ops:
  • Own the full funnel in CRM: lead management, routing, lifecycle stages, deal pipelines and stage rules.
  • Make pipeline and forecasting reliable. Define stages, exit criteria and forecast categories with Sales leadership.
  • Improve how outbound and inbound leads move into the CRM and into pipeline, so we can measure conversion from source to revenue.
• Customer Success Ops:
  • Improve customer health and risk scoring, revenue-based tiering, and the alerts CSMs act on.
  • Support CS processes: onboarding and professional services, renewals, handoffs from Sales to CS, and CSM task standards.
  • Own CS reporting: retention and expansion metrics (NRR, GRR, churn), health distribution, CSM activity and outcomes.
• Multi-product and revenue data:
  • Help us track each product (for example CRM, API and AI features) separately: adoption, usage and revenue per customer.
  • Own key revenue metrics and their definitions: MRR, ARR, NRR, GRR, churn, expansion, conversion and win rates.
• Marketing Ops and Financial Ops:
  • Support campaign and attribution tracking, consent and enrollment rules, and data quality for marketing.
  • Work with Finance on revenue data, billing and payment data.
• Data & Systems:
  • Own CRM architecture and governance in HubSpot: objects, properties, calculated properties, workflows, permissions and data hygiene.
  • Keep integrations healthy across HubSpot, Intercom, Make.com, Baserow and our data warehouse.
  • Lead tool evaluations, purchases and migrations. Make sure every tool earns its cost.
• Reporting and insights:
  • Build reporting that leaders use: funnel, pipeline, forecast, retention and expansion.
  • Work with our data owners on pipelines into the data warehouse, and on self-service dashboards.
  • Turn data into clear recommendations for leadership.
• Enablement and governance:
  • Run requests through our RevOps intake process. Prioritise by impact.
  • Train Sales, CS and other teams on new tools and processes. Keep our SOP and process library current.
• AI and process Optimisation:
  • Find manual, repetitive work across the revenue teams. Redesign it with AI and automation.
  • Build and maintain AI steps in our workflows. Examples: lead qualification and scoring, call and conversation summaries, account briefs, classification of tickets and feedback, and early detection of churn or upsell signals.
  • Write and maintain prompts, agent instructions and AI guidelines, so that results are consistent, accurate and safe.
  • Measure the impact: time saved, faster responses, better data quality, better conversion.
  • Make sure all AI use respects customer data privacy (GDPR) and our security rules.

Qualifications

• 3-5 years in Revenue Operations, Sales Operations, CS Operations or a similar GTM operations role at a B2B SaaS or subscription company.
• Experience across more than one pillar – for example Sales Ops and CS Ops. You understand the full customer lifecycle, from lead to renewal.
• Deep, hands-on HubSpot experience as admin or architect: custom objects and properties, calculated properties, workflows, pipelines, reporting. You build things yourself.
• Strong analytical skills: comfortable with funnel and revenue metrics (conversion, pipeline, forecast, MRR, NRR, GRR, churn) and with data quality.
• Process design and stakeholder management: you turn a vague request into a clear spec, build it, roll it out and drive adoption. You can say “no” or “not now” with a clear reason.
• AI fluency: you use AI tools every day in your own work – for research, analysis, writing and building. You know where AI helps, where it fails, and how to check its output.
• Clear written English for documentation and async work.

Requirements

• Automation tools: Make.com, Zapier or n8n.
• Data tools: SQL, Supabase/Postgres, Metabase or another BI tool.
• API fluency: REST APIs, webhooks and API usage data.
• You have built AI agents or LLM steps in automations, for example Make.com AI modules, n8n AI nodes, HubSpot Breeze agents, or direct API calls to Claude or OpenAI.
• Lead scoring or outbound lead-generation systems.
• Customer health scoring, or CS platforms such as HubSpot Customer Success Workspace, Gainsight or Planhat.
• Multi-product or usage-based revenue tracking.
• Forecasting, territory or capacity planning.
• Intercom or other support-to-CRM integrations.

Benefits

• Competitive Salary: A highly attractive compensation package.
• Professional Growth: Opportunities for career advancement and personal development in a fast-growing company.
• Inclusive Culture: Be part of a diverse and collaborative team committed to innovation and excellence.