We're looking for an experienced Engineering Manager to help us scale the leading GPU data platform.

Who We Are

At Silicon Data, we bring transparency to the GPU economy by delivering real-time pricing intelligence, market analytics, and sustainability insights for compute infrastructure. Operating at the intersection of AI, finance, and infrastructure, our product suite—including GPU index products, benchmarking tools, and forward pricing modules—helps organizations benchmark GPU performance, predict cost trends, and measure compute efficiency. You can learn more at https://www.silicondata.com/. This role leads engineering for our product teams, where you'll play a key role in shaping its evolution as we grow.

What You'll Do

• Manage, mentor, and grow a team of backend, data, and platform engineers
• Stay hands-on: review architecture, write code, unblock hard technical problems, and set technical direction
• Run 1:1s, performance reviews, and hiring for your team
• Raise the bar on code quality, testing, and CI/CD practices across the team
• Improve engineering processes: on-call rotation, incident response, and code review standards

Required Qualifications

• 5+ years of professional software engineering experience, including shipping customer-facing web applications
• 2+ years directly managing engineers
• Expertise in Python backend frameworks (FastAPI or similar), including async/await patterns and relational databases
• Solid understanding of SQL, ORMs, query optimization, and performance tuning
• Proven experience implementing CI/CD pipelines and safe, frequent deployment practices
• Excellent written and verbal communication in a remote-first environment

Preferred Qualifications

• Experience managing remote teams
• Interest or experience in high-performance computing and GPU infrastructure
• Experience deploying and scaling apps on AWS or other cloud platforms
• Prior experience at an early- or growth-stage startup

Why You'll Love Working Here

• Lead a team solving technically challenging problems in data, benchmarking and distributed systems
• Fully remote