Role summary

Gym Class (GC) is the #1 most played sports game in virtual reality, and #1 best rated game on the Meta Quest platform. Millions of players around the world have downloaded GC to play basketball, make friends, break a sweat, and become a superstar.

The company is backed by top technology and sports investors, including Andreessen Horowitz (a16z), Y Combinator, National Basketball Association (NBA), the Golden State Warriors, Soma Capital, and top player-investors like Kevin Durant, Danny Green, Zaza Pachulia, Andre Iguodala, and Lonzo Ball.

As the team’s first backend engineering hire, you’ll take ownership over the design and implementation of our API and its underlying infrastructure. You’ll collaborate with our co-founders, client engineers, and designers across a wide variety of features.

Join Gym Class if you’d like to work at the frontier of social gaming and virtual reality, love to ship great work that has direct impact on a product and company, get rapid feedback from a hungry community, and grow your career along with a fast-growing team.

What you’ll do

• Own design of API architecture and infrastructure, while also implementing their design. Will work on areas ranging from: (a) Shipping core infrastructure and tooling (asset delivery, A/B testing infra, etc), (b) Recommendations systems, (c) Gameplay features (leaderboard, game mode states, improve auth system), (d) Prototyping applications (train bots and stream animation data, stream replays).
• Own application uptime, shipping quality code and being oncall if needed.
• Own decisions on when important to ship API for product speed vs. as building blocks for team to move faster.
• Own backend roadmap, informed by collaboration with product, client engineering, and design.
• Eventually drive backend hiring and continued team growth.

What we look for

• Products: Has shipped gaming and social features at scale, working with multiple clients (mobile, web, PC, etc).
• Measurement: Experimentation-focused. Has interpreted experiments and their product implications and tradeoffs, determining if work is additive or not. When missing data in past, has built pipelines, designed metrics, and used or implemented A/B testing infrastructure.
• Tooling: Has built tooling for games with networked physics, for streaming media or assets, and handling many concurrent connections.
• Velocity vs. Optimization: Familiar with startup mentality of picking the right infrastructure for the job and stage of company. But when needed, can migrate to more efficient infrastructure (eg – serverless vs. not), refactor, and/or optimize to run more quickly.
• Ideally has built: (a) Recommendation systems for social, matchmaking, and toxicity, (b) Streaming video and audio applications., (c) Apps or games using realtime data in novel ways, (d) Prototypes or products with ML – like generative AI, gaming agents/bots, pose computer vision (eg – pose estimation from video)..

Founded:2021

Team Size:6

Location:Dallas, TX