Staff Software Engineer, Growth
AI Summary
Senior-level staff engineer leading the Growth subscription surface, owning technical strategy, experimentation infrastructure, and cross-functional collaboration to drive conversion, retention, and ARPU at PlayOn Sports.
About this role
PlayOn Sports powers over 250,000 live high school sports events a year across NFHS Network, GoFan, and MaxPreps. The Growth team’s mission is to make it effortless for high school sports fans to find, subscribe to, and stay subscribed to PlayOn’s products.
As a Staff Engineer on the Growth team, you’ll be the technical anchor of a cross-functional pod alongside PM and Design — setting technical direction for our subscription growth surface, shaping how we run experiments at scale, and multiplying the effectiveness of the engineers around you.
We’re looking for someone who has seen consumer subscription growth done well at scale and is ready to own it here. You operate beyond the ticket queue: you spot the problems worth solving before they’re assigned, you influence how the whole pod works, and you raise the floor of what “done well” means for growth engineering at PlayOn.
The outcomes you'll deliver
- Ship a steady cadence of subscription growth experiments across web, mobile, and CTV with measurable impact on conversion, retention, or ARPU.
- Measurably reduce the pod’s experiment cycle time within six months by improving the tooling, process, or infrastructure that slows shipping.
- Establish the Growth team’s standard for experiment hygiene — feature flags, end-to-end validated instrumentation, Core Web Vitals preserved — so the whole pod ships at that bar.
- Define the technical roadmap for the Growth surface: the architecture decisions and platform investments that determine how fast the pod can move over the next 12–18 months.
In this role, you can expect to
To thrive in this role, you have
How You Play
Ownership over Participation — You’re accountable for the technical direction and outcomes of the Growth surface, not just your own tickets. You identify the problems worth solving before they’re assigned.
Team over Stars — Your impact is measured by what the whole pod ships. You define what great looks like and make it easier for everyone around you to work at that level.
Growth over Comfort — You make Type II decisions quickly, kill work that isn’t moving metrics, and treat a disproved hypothesis as a win.
Fairness over Popularity — You choose the right architecture and tooling for the platform, not the fashionable one, and hold the line on experiment hygiene even when cutting corners is faster.
