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You will build, deploy, and maintain frontier AI agents for our enterprise customers using the most advanced browser and computer-use technology in the industry.
Asteroid is the first company to deploy computer-use agents in healthcare at scale. Our agents execute thousands of mission-critical tasks every day, automating workflows that no one else can touch: complex multi-step portals, legacy systems with no APIs, exception-heavy processes that require real-time judgment.
As we onboard more enterprise customers, each with unique workflows and edge cases, we need someone embedded in the delivery process who can take a customer's workflow from scoping to production. You'll be the bridge between our customers and Asteroid platform, translating messy, real-world processes into reliable, high-performing agents.
As our customer base grows, we need a dedicated forward deployment engineer who can own the full agent lifecycle for assigned accounts, from initial scoping through production monitoring. You'll work directly with customers in shared Slack channels, understand their workflows deeply, and build agents that handle the complexity and edge cases of real enterprise operations.
You'll be working with frontier computer-use and browser-use technology every day. You'll have a direct line to the product and engineering team, and your feedback will shape the direction of a fast-growing platform that's defining a new category.
We're open to all experience levels. University students, new grads, and career switchers are welcome. What matters is that you're sharp, technical, and excited about this work. If you've been building side projects with LLMs, automating workflows for fun, or tinkering with agents, we want to hear from you.
Asteroid builds and hosts AI browser agents for back-office tasks. With guardrails, evaluations, and human oversight, we deliver enterprise-grade reliability across millions of operations, even in regulated industries. Companies can build agents themselves or rely on us to deliver and maintain them.
Salary
$30,000 - $50,000
Location
Remote