Software Engineer, Full-Stack (Consumption Team)

Location: San Francisco, CA / Palo Alto, CA Company Stage of Funding: Growth-Stage AI Infrastructure Company ($80M Raised) Office Type: Onsite (4 Days Per Week)

Salary: $170,000–$250,000 + Competitive Equity

Company Description: We're representing a rapidly growing AI infrastructure company building a next-generation GPU cloud platform for enterprises, startups, and AI researchers. Their platform gives customers flexible access to high-performance compute through intelligent reservation, marketplace, and consumption models that optimize both cost and availability. Backed by Sequoia Capital and Lightspeed with more than $80 million in funding, the company has experienced 6x revenue growth over the past year. As demand for AI infrastructure continues to accelerate, they're expanding their engineering team to build the customer-facing products that power billing, analytics, marketplace functionality, and developer tooling.

What You Will Do: Build full-stack products that enable customers to purchase, manage, and monitor AI infrastructure. Design and develop customer-facing features including billing dashboards, usage analytics, reservation management, and pricing tools. Own features end-to-end, from frontend implementation through backend APIs, database design, monitoring, and production deployment. Develop scalable backend services and APIs supporting billing, marketplace, reservation, and auction workflows. Build and enhance developer tools, including web applications, command-line interfaces, and public APIs. Partner closely with Platform Engineering to integrate customer-facing experiences with distributed infrastructure and orchestration systems. Improve analytics, reporting, and consumption tooling that helps customers optimize GPU usage and costs. Contribute to system architecture, product direction, and engineering best practices within a fast-moving startup. Build reliable, scalable software supporting enterprise customers running AI workloads in production. Help shape the evolution of the company's core developer platform and customer experience.

Ideal Background: 3+ years of professional full-stack software engineering experience. Proven experience shipping production software across both backend and frontend systems. Strong experience building distributed systems with customer-facing applications or APIs. Proficiency with TypeScript and modern frontend development. Experience designing and building scalable backend services and REST APIs. Background working at high-growth startups or major technology companies. Experience owning features from design through production deployment. Strong computer science fundamentals and systems thinking. Excellent communication skills and ability to thrive in collaborative engineering environments.

Preferred: Experience building billing systems, usage metering platforms, marketplaces, exchanges, or auction-based pricing systems. Experience with Python and modern backend frameworks. Familiarity with GraphQL, AWS, cloud infrastructure, and distributed systems. Experience building analytics dashboards and developer tooling. Background working on AI infrastructure, cloud platforms, or GPU compute products. Strong product mindset with experience building customer-facing SaaS applications. Interest in developer experience, infrastructure products, and cloud platforms. Ability to work onsite in San Francisco/Palo Alto four days per week.

Base salary: $170,000–$250,000.Competitive equity package. Visa transfer sponsorship available. Four-day onsite work schedule across San Francisco and Palo Alto offices (all engineers collaborate in Palo Alto on Mondays).Opportunity to build the customer-facing platform for one of the fastest-growing AI infrastructure companies. Significant ownership over billing, analytics, marketplace, and developer-facing products. Work alongside experienced engineers solving complex distributed systems and cloud infrastructure challenges. Join a high-growth, venture-backed company helping define the future of AI compute infrastructure.