Rasa Tech Stack

Enterprise platform for building and operating AI agents across chat and voice

Software Development San Francisco, California 51–200 employees Founded 2016 Privately Held

Rasa builds a production-grade conversational AI platform for enterprises managing complex, multi-turn interactions across channels. The company is in aggressive sales-led scaling mode—hiring for four new enterprise AE roles while overhauling NA revenue strategy and outbound pipeline generation—which signals confidence in a land-and-expand playbook but also reveals friction in complex deal execution and pre-sales capacity.

Tech Stack 13 technologies

Core StackSalesforce Google Analytics PostgreSQL AWS Metabase AWS Lambda Python TypeScript Segment Google LinkedIn Meta

What Rasa Is Building

◆Challenges

Scaling enterprise business in north america
Complex enterprise deals
Targeting high-value verticals
Scaling outbound pipeline
Improving workflow efficiency
Increasing pipeline quality
Data quality and consistency at scale
Cost efficiency and scalability
Data stack scaling with product needs
Scaling pre-sales team

▲Active Projects

Land and expand strategy for na market
Recruit and train top-tier enterprise aes
Own na revenue and pipeline strategy
Territory plan execution
Virtual account team leadership
Customer feedback integration
Scale outbound and inbound pipeline generation engine
Optimize go-to-market execution
Improve workflow and campaign impact
End-to-end telemetry solutions

Hiring Activity

Accelerating8 roles · 4 in 30d

Department

Sales

Marketing

Data

Support

Seniority

Senior

Manager

Lead

Staff

Notable leadership hires: Head of Sales

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About Rasa

Rasa provides an enterprise platform for designing, deploying, and managing AI agents that handle long-running conversations spanning chat and voice channels. The platform handles orchestration across multiple systems, escalation workflows, and on-premises or cloud deployments with governance controls. Customers adopt Rasa when they need production-grade reliability and control for AI agents supporting customer-facing or internal operations rather than isolated chatbot use cases. Founded in 2016 and based in San Francisco, Rasa operates across North America and Germany.

HeadquartersSan Francisco, California

Company Size51–200 employees

Founded2016

Hiring MarketsUnited States, Germany

Frequently Asked Questions

What tech stack does Rasa use?

Rasa's core stack includes Python, TypeScript, PostgreSQL, and AWS for infrastructure. The company uses Salesforce for CRM, Segment for data collection, Metabase for analytics, and AWS Lambda for serverless compute.

Where is Rasa headquartered and hiring?

Rasa is headquartered in San Francisco, California. The company is actively hiring in the United States and Germany, with a focus on enterprise sales and marketing roles in North America.