Senior PLG Digital Growth Manager

Role Overview

Kong is looking for a Senior PLG Digital Growth Manager to build and scale the digital growth engine behind our product-led motion. This role will own Marketing’s targets for qualified product signup growth and the strategy, experimentation, and execution required to achieve them.

What You Will Do

The role will focus on improving the journey from digital discovery through signup, while using downstream activation and product behavior to continuously improve the quality of users we acquire. You’ll own PLG growth targets and strategy, grow qualified product signups, optimize the digital → product journey, build and ship experiments, leverage AI to scale growth, and connect acquisition to activation.

Why It Might Be a Fit

We’re looking for someone who can identify opportunities, build a strategy, and roll up their sleeves to launch and optimize experiments—not simply recommend what other teams should do. You’ll be directly accountable for qualified product signup growth and the efficiency of the digital PLG funnel, including qualified product signups, marketing-sourced activated users, web → signup conversion, experiment velocity, and incremental growth.

Requirements

• 7+ years in PLG, digital growth, growth marketing, growth product, or a related B2B SaaS discipline
• Experience building or scaling self-service or product-led growth motions
• A track record of personally building, launching, and optimizing growth experiments
• Strong understanding of digital acquisition, CRO, experimentation, lifecycle, and funnel optimization
• Strong analytical skills and experience using product, behavioral, and cohort data to drive growth decisions
• Comfort with modern analytics, experimentation, automation, AI, and no-code/low-code growth tools
• Ability to operate cross-functionally across Marketing, Product, RevOps, Analytics, and Engineering
• A builder mentality with a bias toward shipping, learning, and iterating
• Experience with developer, infrastructure, API, cloud, or technical audiences strongly preferred

Tagged as: Data Analysis