AI agents for conversational sales and lead engagement
Conversica builds conversational AI agents for sales and customer engagement workflows. The tech stack (Python, AWS, RAG, Terraform, EKS) reflects a production-grade ML infrastructure setup, while the project list (evals + quality, retrieval + data foundations, agentic system design) and pain-point clustering (reliability, scaling, performance, observability in AI systems) suggest they're maturing from early agent deployment toward reliability and observability at scale. Hiring velocity is accelerating with senior engineers and staff roles, indicating a push to solidify platform foundations.
Conversica delivers AI agents that conduct conversations with leads and customers on behalf of sales and customer success teams. Founded in 2007 and based in San Francisco, the company operates at 51–200 employees and integrates with Salesforce, LinkedIn Sales Navigator, and DealerSocket to orchestrate outbound engagement workflows. The product sits at the intersection of conversational AI and sales operations, automating follow-up and qualification cycles that traditionally require manual effort.
Python, AWS (EKS, CDK), Terraform, RAG, Salesforce, LinkedIn Sales Navigator, Zoom, and DealerSocket. The infrastructure is cloud-native and built for conversational AI workflows.
San Francisco, California. The company was founded in 2007 and is privately held with 51–200 employees.
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