Careers
We're building independent testing for AI agents that move money, checking that they pay the right party the right amount, avoid being scammed, stay within their mandate and tell the truth afterwards, scored from the ledger rather than by a model judge. Remote-first, global team, shipping fast.
AI Native Agent Engineer — Trading
Build autonomous trading agents on BlockRun’s gateway — LLM reasoning, live market data and on-chain execution through one pay-per-call surface.
AI Native Growth Head
Own developer acquisition and growth from the ground up. Run experiments, ship landing pages, and personally engage with developers.
What we're building
Software is starting to buy things on its own behalf. An agent that needs a language model, a web search, a block of compute or a phone call currently has to be handed an API key by a human, on an account a human opened, billed to a card a human owns. BlockRun removes that step: a request arrives, it is quoted a price, it pays in USDC, and it gets the capability — no account, no key, no subscription. We are the one endpoint that makes that transaction work across every major model and data provider, metered per call.
How we work
We are remote-first and distributed across time zones, which means we bias heavily toward written communication and asynchronous decisions over standing meetings. The team is small, so scope is wide: engineers here own features from design through deploy and talk to the developers using them. We ship to production continuously rather than on a release train, and we would rather correct a small thing quickly than wait to be certain.
Who tends to do well here
People who are comfortable without a lot of process, who can pick up an unfamiliar system and make a careful change to it, and who care about the details users actually feel — latency, error messages, whether the thing works on the first try. Direct experience with payments, blockchains, or model infrastructure is useful but not required; most of what matters here is not something you could have learned elsewhere yet.
Don't see a role that fits? Email us anyway. We're always looking for exceptional people.