Join a team that’s looking to revolutionise AI in the world of email
What are we building?
An AI Executive AssistantIn 1930, the economist John Maynard Keynes predicted that we’d only be working 15 hours a week by 2030. Despite automation in agriculture and industry, that hasn’t happened.
Why? The service sector. Walk around the average office and you’ll see people’s days taken up by emails, Slack and meetings instead of real work.
People in client facing roles - sales, professional services firms, recruiters - feel this most acutely. Instead of advising clients, they spend hours on admin. Following up. Scheduling meetings and taking notes on them.
We’ve built an AI executive assistant that looks at your emails, messages and meetings, and uses that knowledge to answer your email, schedule meetings, take next steps from meetings and organise your inbox.
Unlike other startups, we’re a pure-play applied AI company, not a SaaS company with AI features hastily bolted on! We make use of the best techniques (fine tuned open source models, tool use, and retrieval augmented generation) and as a result, users send 53% of the email drafts we generate.
How has it been going?
Since launching in March 2024, we’ve gone from $0 to $2.5m in revenue across 3000 paid users. We did this with a team of 4, and without using any paid marketing until November.
We spent Q4 2024 in San Francisco at HF0, the best AI startup accelerator in the world, learning from experts like the CEO of Instacart, Head of Applied Research at OpenAI and the cofounder of Snowflake.
What do we value?
We’re very intentional about adding new people. We think a small team of exceptional people working hard at a problem they care about will always beat a larger, more unfocused team. That means you’ll need to bring an intensity to this role that might not be asked at other companies. But it also means you will be fast tracked into more senior roles and responsibilities far earlier.
We also believe in hiring people who want ownership and autonomy in their work, and giving it to them. Instead of just being handed tickets, you’ll own our data infrastructure, proactively suggesting improvements, including tools we use, and how data is modelled and moved