- About Rasa
- Founded: 2016
- Mission: to empower the world’s largest brands to interpret people’s needs with open and extensible conversational AI
- Number of Employees: 100
- Funding: Series C | $70.6M | Andreessen Horowitz, Accel, Basis Set Ventures, PayPal, and others.
- Enterprise clients, including Swisscom, Providence, AutoDesk, Vanguard, KBC and Blue Cross, Blue Shield, and two of the Top 5 Banks in the world
- Why Rasa?
- Developers Love Rasa: With 50M+ downloads as of June 2024, over 900 open-source contributors, 15k+ active members on our community forum, (https://forum.rasa.com/) and over 18k GitHub (https://github.com/RasaHQ/rasa) Stars, there is a thriving and ever-growing community involved.
- Enterprise Growth: We have a unique approach to the use of language models in conversational customer experiences. In 2023, Rasa introduced the Rasa Platform. Combining pro-code and no-code options, our platform allows cross-team collaboration for smarter and faster AI assistant building to significantly accelerate time-to-value. The engine of our platform is CALM - Conversational AI with Language Models.
Our unique approach transparently leverages an LLM-native dialogue engine that makes Rasa a reliable and innovative partner for enterprises seeking to significantly enhance their customer interactions with seamless conversational experiences.
- Secure & Built to Scale: Rasa is trusted by companies in highly-regulated industries such as healthcare and banking because of their ability to uphold privacy standards and deploy on-prem or on your own private cloud. Rasa is also built to scale with multi-channel customer experience, high-performance architecture, and reusable infrastructure.
- Huge Market Potential: The global chatbot market was valued at $4.7 billion in 2022 and is projected to reach $15.5 billion by 2028. Specifically, the market for generative AI in chatbots is also growing rapidly. It is expected to reach $1.7 billion by 2033, up from $151 million in 2023
- World-Class Investors: We’ve raised $70.6M to date, the most recent being a $30m Series C led by PayPal and Stepstone. Some of our earlier investors include Accel, Andreessen Horowitz, Basis Set Ventures, and others.
- What is the annual quota and Average Deal Size?
- Annual quota average per year is USD 1.2M
- Average deal size is 300k, sometimes 500k land deals (usually split in up to 3 years)
- Who’s Rasa’s Ideal Client Persona (ICP)?
- Global 2000 companies, in regulated sectors with a large volume of conversations
- Example clients: BNP Paribas Fortis, Orange, Deutsche Telekom, AllyBank
- Targeted Verticals with active Logos
- Financial Services
- Telecommunications
- Healthcare and Insurance
- Government
- Digital Natives
- Utilities
- Retail
- Top challenges Buyer personas face?
- Customer service automation use case
- Facing troubles integrating to complex environments, struggling with NPS and containment rate
- Need an extensible and customizable platform
- Where/how do we find our leads?
- Inbound and community, then we have SDRs helping with outbound
- Account Executives are expected to build their own pipelines in parallel to BDR work
- Marketing for Rasa:
- We have 1 Director of Marketing with 3 team members (1 Digital Marketing, 1 Content Writer and 1 Events Manager).
- We have one Developer Relations Engineer to foster our developer community
- We also have 1x Director of Partnerships
- Our CTO does a lot of Thought Leadership Marketing (example from Forbes) and we have Developer Relations to nurture our developer community.
- Our open source community is a big distribution channel with big brand awareness for conversational AI.
- We have a big presence on events in EMEA and NAMER
- Investors: Series C, a couple of primary investors are A16z and Accel amongst others
- Kevin’s, Director of Sales, North America, Management Style:
- Kevin’s management style blends both quantitative and qualitative approaches. While clear performance expectations are important, he places equal value on continuous learning, growth, and skill development as you work together. He believes everyone benefits from sharing knowledge and learning from one another.
- Kevin is metrics and data-driven, and believes in the power that data can tell all of us.
- Kevin is drawn to people who have extreme ownership for the things they do, maintain accountability for themselves and their teams, and those whom lead by example.
- As an ex-athlete, Kevin has full appreciation for the effort it takes to compete each day. We will celebrate the wins, together, and we will likewise learn from our defeats, which is where the biggest growth often comes from. Be ready to get in the game!
- What are the timeline expectations for you to make this hire?
- We are ready to hire for this role ASAP once we find the right candidate.
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What did we miss?
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Interview Processes: All meetings via Zoom