Our client is one of the world's largest AI entertainment platforms, backed by a top-tier venture firm that led its Series A. Millions of people use it every day to create characters, worlds, stories, and relationships with AI, sending tens of millions of messages a day and spending well over an hour a day on the platform on average.
The company trains its own models and runs its own inference, so far more of its stack is in-house than at most companies its size. The team is very small and works in person in San Francisco. That combination means consumer-scale traffic on infrastructure a very small team builds and operates itself, where each engineer's work reaches millions of users.
This hire leads backend and infrastructure for the platform. They work directly with the CEO, who runs the backend today, alongside one growth engineer, one mobile engineer, and a few contractors. It is a full-stack infrastructure role: keeping the platform up, making it faster and more resilient, and building the systems behind new features.
Scale defines the work. Millions of daily users generate request volume closer to a large consumer company than a B2B SaaS business, and infrastructure problems often surface as product bugs: a slow page, a delayed job, a websocket that keeps reconnecting. The role suits an engineer who can trace an issue from the user experience down to the machine, fix the cause, and own technical decisions on a small team where those decisions stick.
| Location | San Francisco, California |
| Salary | $200,000–$300,000 Per Year |
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