AI-powered data platform for GTM teams built on AWS and Kubernetes
Openprise operates a GTM data platform (Elasticsearch, Postgres, Python, Kubernetes on AWS) targeting ops leaders who need to unify CRM, marketing, and revenue data. The tech stack reveals a mature observability-first architecture—Prometheus, Grafana, CloudWatch, ELK—paired with GitOps automation (Terraform, ArgoCD). Active projects around incident response, scaling on AWS, and campaign engines align with internal pain points in infrastructure automation and high availability, suggesting Openprise is betting on operational reliability as a product differentiator.
Openprise builds an AI and automation platform for go-to-market operations, helping enterprises consolidate data quality, lead routing, scoring, and attribution workflows. Founded in 2014 and based in San Mateo, the company serves Fortune 500 and high-growth enterprises through a combination of product automation and Salesforce/Marketo integrations. The platform is designed to unify data silos and orchestrate cross-functional GTM processes without requiring customers to replace their existing tools. Hiring remains balanced across support, marketing, and engineering, with accelerating velocity and presence in both the US and India.
Elasticsearch, PostgreSQL, Python, Kubernetes, AWS (EKS, RDS, ELB), Terraform, CloudFormation, Jenkins, GitHub Actions, Docker, and the full ELK stack (Logstash, Kibana) for observability.
San Mateo, California. The company was founded in 2014 and is privately held with 51–200 employees.
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