Small team. Hard problems.
We're a bootstrapped SF team building the AI pipeline layer from first principles. Real platform engineering pain, finally being solved.
If you've been the platform engineer who owned those YAML files — the one who got paged at 2am because a config drift took down staging — we'd like to talk. We're building this for you and we'd rather build it with you.
2 open positions.
Senior Platform Engineer (Product)
You'll work on the SuperPlane platform itself — the AI pipeline engine, the policy interpreter, the env provisioning layer. You need to understand how CI/CD systems work at depth. You've run pipelines at scale and you know where the pain lives.
ApplyML Engineer, Pipeline Optimization
You'll work on the test selection model — the core of SuperPlane's AI layer. This is applied ML on time-series commit and test data. You'll be building the training pipeline, improving selection accuracy, and extending the model to new signal types (latency, resource usage).
ApplyThree things that matter to us.
Small on purpose.
4 people moving fast beats 20 people managing JIRA. We hire slowly and deliberately. Everyone on the team is a direct contributor to the product — no managers yet.
Async-first.
SF timezone anchored, but no daily standups. We write things down. Communication is async by default. You own your schedule. We measure output, not hours.
Eat your own dog food.
Every SuperPlane engineer uses SuperPlane pipelines for SuperPlane's own infra. The product you build is the product you use. This is the fastest path to finding what needs to be better.