Position Summary

We are looking for a strategic, execution-focused Head of Product who can lead the evolution of our product portfolio while scaling our product management function. This is a high-impact role that reports directly to the CEO and will play a key role in shaping RightRev’s future as we expand our customer base and build new AI-based modules across billing, revenue forecasting, and analytics.

Key Responsibilities

• Define and communicate a clear product vision and multi-year roadmap aligned with business objectives.
• Partner with Engineering to prioritize features, enhance product velocity, and deliver high-quality releases.
• Serve as the voice of the customer by gathering and analyzing customer feedback, competitive intelligence, and market trends.
• Drive discovery and delivery of new capabilities that deepen our differentiation in finance automation and revenue intelligence.

• Own product lifecycle management, from ideation to launch, adoption, and iteration.
• Collaborate cross-functionally with Sales, Marketing, CS, and Solutions to ensure successful go-to-market strategies and customer success.
• Lead and grow the product management team, instilling a culture of ownership, collaboration, and customer obsession.
• Monitor product KPIs and define success metrics to evaluate product performance and ROI.
• Evaluate and prioritize AI/ML opportunities that align with business goals and user needs

Qualifications

• 10+ years of product management experience with at least 3 years in a leadership capacity.
• Proven success in scaling B2B SaaS products in back-office accounting applications including ERP, CPQ, billing, and revenue management.
• Understanding of revenue recognition principles (ASC 606/IFRS 15) and enterprise finance workflows(Quote to Revenue).
• Experience working with complex data models and building enterprise-grade, integration-heavy platforms.
• Excellent leadership, collaboration, and communication skills across technical and non-technical teams.
• Proven experience leading AI/ML product strategy and cross-functional execution.
• Strong understanding of machine learning fundamentals, model lifecycles, and data pipelines.
• Bachelor’s degree required; MBA or advanced technical degree preferred.