Senior Revenue Operations Manager

• 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.

INFINNI is the infrastructure behind the creator economy. We're the leading CRM in our category, with thousands of creators and creator businesses running their operations on our platform. We're a global team of 180+ builders, and we're now building the next layer: AI-powered tools, data and infrastructure purpose-built for creators.

• 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.
• 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.
• 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.
• 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.
• Support campaign and attribution tracking, consent and enrollment rules, and data quality for marketing.
• Work with Finance on revenue data, billing and payment data
• 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.
• 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.
• 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.
• 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.Required profile:

HubSpot (Sales Hub, Service Hub, Marketing Hub, Customer Success Workspace) · Make.com · Zapier · Baserow · Supabase · Metabase · Intercom · Notion · Slack · Telegram · AI assistants and agents (for example Claude, ChatGPT, HubSpot Breeze)