Shape both support and software as a Customer Engineer on a platform where every fix can scale. You’ll work directly with developers and machine learning engineers to resolve technical hurdles, then turn those insights into lasting improvements in the codebase, tooling, and documentation.
What You’ll Do
- Write production code to fix bugs, build automation, and ship features that benefit all users—not just one.
- Diagnose complex issues in distributed systems, containerized environments, and ML workloads through direct customer engagement.
- Design internal tools, dashboards, and workflows that increase efficiency and reliability at scale.
- Identify recurring problems and drive systemic changes—whether through API refinements, documentation updates, or new feature proposals.
- Share knowledge by building examples, publishing technical content, and contributing to open-source projects.
What We’re Looking For
- Strong technical depth in either low-level systems—like operating systems, networking, or cluster management—or in AI/ML engineering, including model training, inference optimization, and GPU workflows.
- Ability to navigate both domains with confidence, even if one is your primary strength.
- A natural drive to automate: when you see repetition, you build a solution to eliminate it.
- Clear, precise communication skills—whether explaining a technical issue to a user, documenting a bug, or collaborating with engineers.
Environment and Expectations
You’ll join a high-growth, early-stage team focused on engineering rigor and solving customer problems at their root. Success means not only resolving tickets but improving the platform so issues don’t return. You’ll work locally from one of our hubs in NYC, San Francisco, or Stockholm, contributing to a culture rooted in technical innovation, open-source collaboration, and deep systems thinking.
