Solutions Engineer at blacksmith – New York City | Jobyssey

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 7,000+ companies and tens of millions in ARR. We’ve grown 10x so far in 2026.
We operate thousands of bare-metal machines across multiple regions, regularly schedule 100k+ vCPUs concurrently, and run a petabyte-scale Ceph cluster that we manage ourselves.
We’ve raised $58.5M from Seed to Series B, led by 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 Do

Lead technical discovery, scoping sessions, and qualification calls with engineering, DevOps, and platform teams.
Deliver high-impact product demos, whiteboard sessions, and tailored technical deep dives.
Design and execute POCs, including benchmarking CI performance, optimizing pipeline architecture, and validating ROI models.

Build credibility with architects, engineering managers, SREs, and CTO-level stakeholders.
Translate engineering pain into clear solution designs using Blacksmith’s CI cloud.
Guide customers on best practices for CI modernization, ephemeral compute, cost optimization, and migration off hyperscalers.

Assist customers in debugging CI performance bottlenecks, runner reliability issues, or pipeline misconfigurations.
Help teams optimize GitHub Actions at scale and adopt ephemeral runners effectively.
Maintain deep technical understanding of Blacksmith’s architecture and how it integrates into complex enterprise environments.

Capture customer feedback and use cases, advocating for features and improvements that accelerate adoption.
Collaborate with Engineering and Product to validate requirements, shape roadmap decisions, and improve usability for large-scale CI teams.

Participate in strategic account planning with AEs, CSMs, and leadership.
Identify technical expansion opportunities within existing customers.
Ensure smooth handoff from evaluation to onboarding, working closely with post-sales teams.

Experience in solutions engineering, field engineering, pre-sales, DevOps, or consulting.
Hands-on understanding of modern CI/CD tooling (GitHub Actions preferred), pipelines, and DevOps workflows.
Familiarity with cloud infrastructure (AWS/GCP/Azure), containerization, or ephemeral compute systems.

You can read logs, diagnose failures, and reason about CI performance bottlenecks.
You don’t need to be a full-time engineer — but you should be able to debug environments, understand code snippets, and think like a practitioner.

Ability to present confidently to engineering ICs, architects, and CTOs.
Skilled at simplifying complex concepts and tying technical value to business impact.

You anticipate needs, remove friction, and help customers realize the full value of Blacksmith.
You thrive in ambiguity and enjoy building new processes from scratch.

Scrappy, resourceful, fast-moving.
Comfortable in a high-velocity, evolving technical and GTM environment.
Energized by being part of a small, senior, talent-dense team shaping a new product category.

Experience with DevOps tooling, infrastructure automation, or ephemeral compute systems.
Understanding of CI benchmarking, cloud cost analysis, or hyperscaler limitations.
Experience supporting enterprise evaluations at scale (security reviews, architecture sessions, procurement support).
Familiarity with Terraform, Docker, Kubernetes, or observability tools.
Deep curiosity about engineering productivity and developer experience.