AIOps platform for real-time network and application troubleshooting
Selector AI builds an observability and automation platform for IT operations, combining network, application, and infrastructure data to reduce incident response time. The stack reveals a sales-first go-to-market (HubSpot, Salesforce, 6sense, Demandbase, Outreach) layered over a modern infrastructure backbone (Kubernetes, Terraform, AWS/GCP/Azure), and recent adoption of Grafana Alloy while replacing Promtail signals a shift toward more unified observability collection—matching the pain-point focus on reducing noise and improving platform scalability.
Notable leadership hires: Finance Director
Selector AI is a Santa Clara-based AIOps platform founded in 2019, built for IT and DevOps teams managing multi-domain infrastructure. The product integrates network monitoring, application performance, and cloud observability to accelerate incident diagnosis and reduce mean time to resolution. Selector operates a sales-led, engineering-heavy organization (51–200 employees, headquarters in Santa Clara with hiring active in the US, India, and Singapore). Current execution centers on customer platform adoption, CI/CD automation, account-based marketing campaigns, and addressing observability signal quality—areas reflected in both active projects and stated pain points around lead generation, account health measurement, and delivery acceleration.
Backend/infrastructure: Python, Go, AWS, GCP, Azure, Kubernetes, Docker, Terraform. Observability: Grafana Alloy (adopting), Cisco and Juniper network gear. Sales/data: HubSpot, Salesforce, 6sense, Tableau, Looker. CI/CD: Jira, Confluence, GitOps, AWS EKS.
Santa Clara, California. The company was founded in 2019 and employs 51–200 people, with active hiring in the US, India, and Singapore.
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