Head of Revenue Operations & Strategy

Overview

In this leadership role, you will drive the AI-enabled transformation of Birdie’s commercial engine, empowering sales, customer success and SDR teams. You will shape strategic GTM priorities, pricing and packaging, and lead a small team to convert strategy into processes, systems and insights. You’ll own forecasting, targets and the commercial operating rhythm, while guiding cross-functional initiatives and informing leadership decisions. This is a mission-driven opportunity to improve how care is delivered at home through data-powered execution.

Pay / Benefits

• competitive base salary
• generous stock options
• learning & growth budget
• hybrid working in London
• private health insurance with AXA
• pension contribution 4% with 5% employee

Responsibilities

• Lead AI-driven transformation of go-to-market workflows and measure productivity gains
• Shape commercial strategy with the CRO, including segmentation, GTM approach, pricing and packaging
• Set targets, quotas, capacity plans and compensation aligned with desired behaviors
• Own commercial operations across the customer lifecycle, including tech stack, data quality and insights
• Run the commercial operating rhythm: forecasting, performance reviews, planning and OKRs
• Lead cross-functional commercial projects and the analysis underpinning leadership and board decisions
• Lead and grow a small team of revenue operations and data specialists

Key requirements

• Experience redesigning commercial teams using AI or automation with measurable productivity benefits
• Ownership of pricing, segmentation or compensation decisions in a B2B SaaS context
• Technical capability to direct and challenge systems and data work without doing all hands-on work
• Ability to translate data into clear recommendations and persuade stakeholders with evidence
• Outcome-focused mindset and ability to operate at pace
• Passion for improving care for older adults
• Imposter syndrome acknowledged as normal; fit with mission over ticking every box

• data-driven decision making
• influence and stakeholder management
• collaboration and cross-functional leadership
• AI/automation in GTM
• pricing, segmentation, and compensation in SaaS
• data systems and analytics stewardship

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