Staff Software Engineer, Growth

PlayOn Sports powers over 250,000 live high school sports events a year. They are seeking a Staff Engineer on the Growth team to lead technical direction for subscription growth experiments and optimize engineering effectiveness.

Responsibilities:

• 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
• Serve as the technical lead of the cross-functional product trio, owning technical strategy and driving feasibility assessments alongside PM and Design
• Set the architectural direction for how PlayOn runs subscription growth experiments across NFHS Network, GoFan, and MaxPreps
• Design, implement, and measure rapid experiments, iterating based on data to optimize conversion, retention, and engagement
• Build internal tooling and experiment scaffolding that compounds the pod’s velocity over time
• Leverage AI coding tools and agent-assisted workflows to accelerate experiment delivery and raise the quality bar for the pod
• Identify and drive resolution of cross-team technical dependencies when growth work requires coordination beyond the pod
• Mentor engineers on the pod through code and design reviews that move knowledge, not just catch bugs

Requirements:

• 8+ years of professional software engineering experience, including time at staff level or equivalent, with deep focus on consumer subscription growth
• A track record of technical leadership beyond the team — you've shaped how engineering organizations approach growth, experimentation, or subscription infrastructure
• Direct connection to revenue impact — you've moved conversion, ARPU, retention, or LTV at scale and can speak in detail about what worked and what didn't
• Full-stack engineering ability across TypeScript/JavaScript with a frontend framework (Vue.js, React, or similar) and Node.js, with comfort in Ruby on Rails for our subscription stack
• Hands-on experience with the systems that power subscription growth: Stripe or equivalent; Segment, Amplitude, or similar; LaunchDarkly, Statsig, or equivalent
• Architectural judgment — you've made platform-level decisions about experimentation infrastructure or subscription surfaces and lived with the consequences long enough to learn from them
• Data literacy — you can write SQL, use product analytics tools, and evaluate whether an experiment result is trustworthy
• Actively uses AI tools (Copilot, Claude, Cursor, or similar) to move faster and produce higher-quality work — and shares what works with the engineers around you
• Bonus: you've built internal growth tooling that accelerated experiment velocity at an org level
• You have native mobile or CTV experience (Roku, Fire TV)
• You've worked in sports media or OTT streaming