About Blacksmith

• We started by building infrastructure to run CI workloads really fast. Our first product helps companies run GitHub Actions substantially faster and cheaper by owning and operating our own global fleet of bare-metal machines rather than renting generic cloud VMs.
• Today, we orchestrate tens of millions of Firecracker VMs each week, running CI for 10,000+ companies and tens of millions in ARR. We’ve grown 20x so far in 2026.
• We operate thousands of bare-metal machines across multiple regions, regularly schedule 300k+ vCPUs concurrently, and run a petabyte-scale Ceph cluster that we manage ourselves.
• We’ve raised $125M from Seed to Series C, led by Sequoia, Google Ventures (GV) & Peak XV Partners, and we’re intentionally building a small, but exceptional team.
• Blacksmith was founded by a team with deep systems and scaling experience, including building search/ads infrastructure at Faire, and operating large distributed systems at Cockroach Labs. Our GTM is led by Jon Boyer, formerly Head of Sales at Zapier.
• We're now extending the same CI infrastructure into a broader platform: running agent sandboxes at scale and building our own background coding agent on top of it.

What you’ll be working on

• You will work with Blacksmith customers and the pre-sales team to assist with the diagnosis and resolution of complex technical issues.
• Develop a deep technical understanding of the Blacksmith product & technologies.
• Identify trends / patterns in customer issues and suggest ways we can improve our product. Provide that feedback loop from the customers to our internal teams.
• Reproduce technical issues and work with the engineering team to resolve them.
• Develop tools, processes & automations for diagnosing issues and optimizing the service for performance.
• Collaborate cross-functionally to create the best possible product experience for our customers.
• Build out the foundations for Technical Support Engineering best practice, with a view to building out a team in the future.
  

You’re a good fit if you

• Have experience as an early Technical Support Engineer at a growth-stage business.
• Supporting customers on a highly technical product.
• Ideally you’ve worked with large scale distributed systems.
• Experience in setting up AI/agent native workflows.