Senior Product Manager, Growth (global)

Role Overview

As our Senior Product Manager, Growth, you will own the most important stretch of the beehiiv journey: from the moment someone signs up to the moment they become a paying customer—signup, onboarding, activation, upsells, and trial-to-paid conversion.

What You Will Do

You’ll be responsible for owning signup, onboarding, activation, upsells, and trial-to-paid conversion, and be accountable for the metrics that matter most: trial start rate, activation, and paid conversion.

Why It Might Be a Fit

You’ll have high impact and high visibility—your work directly moves revenue and shapes the first impression of every beehiiv user.

Requirements

• 5+ years of experience in product management, with meaningful time spent owning growth, activation, onboarding, or monetization in a product-led SaaS business
• A track record of moving a conversion metric — ideally free/trial-to-paid — through a high-velocity experimentation program
• Strong analytical skills: you can self-serve in SQL and product analytics tools (e.g. Metabase, Amplitude, FullStory)
• AI-native ways of working: you already use tools like Claude, Cursor, or similar every day to prototype, analyze data, and write
• Good product and design taste, with the judgment to know which experiments can go straight from your prototype to production and which need a product designer’s input
• Experience across the full trial funnel — onboarding flows, in-product upsells, paywalls and checkout, pricing and packaging, lifecycle and trial-expiry messaging — and how mobile and desktop users behave differently
• Excellent communication and writing skills — you can clearly explain hypotheses, results, and trade-offs to cross-functional stakeholders, including leadership

Benefits

• Competitive salary
• Stock options
• Health, dental, and vision Insurance
• 401(k) employer match
• Unlimited PTO (mandatory 10 days per year minimum)
• Annual in-person team offsite
• Unlimited book budget
• Monthly Wellness Days (every third Friday of the month)

Tagged as: Data Analysis, SQL