Scale AISan Francisco, CABuild foundational data platforms, cloud infrastructure, and orchestration systems that power Scale's Generative AI Data Engine and RLHF products for leading LLMs. Requires 3+ years backend engineering experience with distributed systems, Kubernetes, Terraform, and databases.
Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The base salary range for this full-time position in San Francisco is $180,000–$225,000 USD. Employees in eligible roles are granted equity. Benefits include comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, generous PTO, and potentially a commuter stipend.
Backend Engineer building and scaling highly-available services for Fathom's AI meeting assistant. Requires strong Rails and Kubernetes/Go experience to improve reliability, efficiency, and customer experience at massive scale.
Build systems for extracting, connecting, retrieving, and reasoning over knowledge from the web to enable AI agents to answer questions with precision. Requires experience with complex distributed backend systems and petabyte-scale data pipelines.
Builds backend tools for enterprise control plane including access control, change management, and data warehouse optimization. Requires expertise in distributed systems, asynchronous workflows, and product-minded engineering for scalable, reliable architectures.
Builds and scales high-throughput streaming infrastructure to ingest and process billions of customer behavioral events in real-time at sub-second latency. Owns end-to-end projects, solves customer scaling issues, and influences roadmap in a remote-first startup.
Builds backend systems for Customer Studio, optimizing data warehouse performance, real-time audience syncing, analytics, and AI-enhanced workflows for marketing teams. Requires strong distributed systems expertise and product-minded thinking.