Senior Product Manager

About Chargebee:

Chargebee is a subscription billing and revenue management platform powering some of the fastest-growing brands around the world today, including Calendly, Hopin, Pret-a-Manger, Freshworks, Okta, Study.com, and others. Thousands of SaaS and subscription-first businesses process over billions of dollars in revenue every year through the Chargebee platform.

Headquartered in San Francisco, USA, our 500+ team members work remotely throughout the world, including India, the Netherlands, Paris, Spain, Australia, and the USA.

Chargebee has raised over $480 million in capital and is funded by Accel, Tiger Global, Insight Partners, Steadview Capital, and Sapphire Ventures. And we’re on a mission to push the boundaries of subscription revenue operations. Not just ours, but every customer and prospective business on a recurring revenue model.

About the Team

The Product Management team at Chargebee is a group of strategic thinkers dedicated to solving complex subscription management challenges for global businesses. We foster a collaborative environment where data-driven insights and customer empathy drive every decision. Our team focuses on building scalable, high-impact solutions that empower our customers to optimize their revenue and retention strategies.

About the role

As a Senior Product Manager for Experimentation & Offer Engine, you will lead the strategy and execution for our core retention and growth workflows. You will be responsible for building sophisticated experimentation frameworks and AI-native offer engines that help businesses reduce churn and maximize subscriber value. In this role, you will collaborate with engineering, data science, and design teams to deliver seamless, personalized end-user experiences.

What you'll do

• Direct the product strategy and roadmap for the offer, audience, and targeting engines to maximize merchant revenue and subscriber retention.

• Oversee the end-to-end development of the 'Plays' module, enabling merchants to deploy complex workflows and visualize performance impact.

• Design and scale AI-native experimentation frameworks that utilize machine learning to deliver personalized offers and high-conversion subscriber experiences.

• Analyze performance data and lift metrics to validate product hypotheses and quantify the direct impact of workflows on merchant KPIs.

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• Lead the full product lifecycle, from initial discovery and technical requirement gathering to global launch and iterative optimization.

• Partner with engineering, data science, and design teams to build scalable infrastructure for sophisticated audience segmentation and targeting.

• Communicate product vision and performance insights to leadership, ensuring alignment between technical execution and high-level business goals.

• Guide cross-functional stakeholders through complex decision-making processes by applying critical thinking and data-driven problem-solving.

What you'll bring

• 5+ years of experience in product management, with a focus on product optimization, experimentation, or growth at a high-volume consumer subscription platform.

• Proven track record of building and scaling experimentation frameworks, A/B testing platforms, and statistical significance models to drive user retention.

• Demonstrated experience working with machine learning models and AI-native features to deliver personalized offers and dynamic user experiences.

• Expertise in product analytics tools and the ability to translate complex data sets into actionable product strategies.

• Technical background or equivalent experience in Computer Science, Engineering, or a related field to effectively partner with data science and engineering teams.

• Strong proficiency in managing complex product lifecycles within an Agile environment, from hypothesis generation to global deployment.

• Excellent communication skills with the ability to articulate technical experimentation results and their direct impact on business KPIs to stakeholders.

• Experience operating in high-growth environments, particularly within industries such as food delivery, e-commerce, or digital subscriptions.

Nice to have

• Experience with Model Context Protocol (MCP) or similar frameworks for AI model integration. • Prior experience in the subscription billing or revenue management domain.

• Advanced knowledge of SQL and data visualization tools for deep-dive analysis. • History of active participation in the product management community or contributing to industry thought leadership.

Benefits:

Want to know what it means to work for a company that genuinely cares about you? Check out just a few of the benefits we give our employees:

We are Globally Local

With a diverse team across four continents, and customers in over 60 countries, you get to work closely with a global perspective right from your own neighborhood.

We value Curiosity

We believe the next great idea might just be around the corner. Perhaps it’s that random thought you had ten minutes ago. We believe in creating an ecosystem that fosters a desire to seek out hard questions, and then figure out answers to them.

Customer! Customer! Customer!

Everything we do is driven towards enabling our customers’ growth. This means no matter what you do, you will always be adding real value to a real business problem. It’s a lot of responsibility, but also a lot of fun.