AI agent for incident resolution and production optimization
Resolve AI builds AI agents that operate across code, infrastructure, and observability data to automate incident response and cost optimization for engineering teams. The stack (OpenTelemetry, Splunk, Claude, Cursor) reflects a production-observability-first architecture, and the heavy weighting toward sales hiring (10 roles vs. 4 engineering) signals a go-to-market push behind an already-validated product rather than active platform development.
Notable leadership hires: Sales Director
Resolve AI provides AI-driven automation for site reliability and software engineering workflows, targeting mid-to-enterprise engineering teams at companies managing complex production environments. The platform integrates with observability stacks (OpenTelemetry, Splunk) and development tools (Cursor, Git) to enable AI agents to diagnose incidents, optimize infrastructure costs, and assist in code generation using live production context. Founded in 2024 and based in San Francisco, the company operates a sales-led model with active hiring across customer success, sales engineering, and recruiting functions, alongside scaling internal infrastructure and refining go-to-market processes.
Core stack: AWS, Kubernetes, OpenTelemetry, Splunk Observability, Claude, Cursor, TypeScript, React, Next.js. Also uses Segment, Google Analytics, Salesforce, and Strapi. Actively adopting OpenTelemetry.
San Francisco, California. Hiring in the United States and Canada with 51–200 employees as of the data date.
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