Revenue Operations Manager

Role Purpose

Operate and optimise Frankieone's revenue operations engine, ensuring tools, processes, and data pipelines run accurately and efficiently. The RevOps Manager is hands-on: executing commission processes, maintaining and iterating on internal tools, building dashboards and reports, and providing data analysis support across Revenue, Product, and Go-To-Market functions. This role requires an AI-native operator - someone who uses AI as core infrastructure for building, analysing, and automating, not as an occasional productivity aid.

Key Responsibilities

Revenue Operations (Primary - ~60%)

• Own the end-to-end commission calculation and payment process, ensuring accuracy, timeliness, and transparency

• Maintain and iterate on existing RevOps tools: Deal Calculator, ROI Calculator, Indi Coaching Platform, Scoping App, and Target Accounts Module

• Manage HubSpot optimisation, data hygiene, workflows, and integration support

• Execute financial tracking and reporting integrations between HubSpot, Xero, and internal systems

• Build and maintain dashboards and reports for sales leadership, pipeline reviews, and Monday morning meetings

• Execute data extraction, cleaning, and pipeline work as part of the FrankieBrain data lake build

• Manage marketing campaign tracking and lead-to-revenue attribution reporting (1/3/6 month cohorts)

Cross-Functional Data & Analytics (Secondary - ~30%)

• Provide data analysis support to the Product team (4 PMs), including product usage analytics, customer segmentation, and feature adoption insights

• Build and maintain analytical views that support product-led growth decisions

• Support the Head of Go-To-Market with performance analytics, campaign analysis, and market insights

• Develop and maintain data models that serve multiple functions from the centralised FrankieBrain data layer

Continuous Improvement (~10%)

• Identify process inefficiencies and propose automation or optimisation solutions

• Document processes, support procedures, and data dictionaries for all RevOps tools and systems

• Stay current with best practices in revenue operations, CRM management, AI tooling, and data analytics

Required Skills & Experience

• 3+ years in Revenue Operations, Sales Operations, Data Analysis, or a related analytical role in SaaS or fintech

• Strong proficiency in CRM systems (HubSpot strongly preferred) including workflows, reporting, and data management

• Data analysis skills: SQL required, Python/R preferred; experience with data visualisation tools (Looker, Tableau, or equivalent)

• Demonstrated AI-native working style: uses AI tools (coding assistants, analysis tools, automation platforms) as core workflow infrastructure, not occasional aids

• Experience with financial systems integration (Xero, QuickBooks, or equivalent) is a plus

• Comfort working with APIs, data pipelines, and integration platforms

• Strong attention to detail, particularly around financial data (commissions, revenue, contract values)

• Ability to work cross-functionally with Product, Sales, Marketing, and Finance stakeholders

• Proactive problem solver who can own workstreams independently while collaborating closely with senior leadership

• Experience with commission calculation or sales compensation processes is a strong plus