The basics
* This role pays £70k-£130k/year + equity
* Matt, Cofounder and CTO, is the hiring manager
* We work Mon-Thu in our office in Chancery Lane, London
What are we building? An AI Executive Assistant
In 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. Answering repetitive questions over email.
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. We hire product engineers, not product managers. What that means is instead of just being given tickets to implement, you’ll be owning a whole product: shaping the roadmap by thinking from first principles, looking at usage data and speaking to customers, then architecting and implementing your ideas.
What will I do?
* In short, own one of Fyxer AI’s funnels
* Decide on metrics for your funnel
* Use quantitative data, customer insight, and product sense to build and prioritise a roadmap of experiments for your area
* Execute your roadmap by coding up your ideas
* Manage and improve reliability in your funnel, by monitoring logs, analysing support tickets and fixing bugs
What does our ideal hire look like?
* You’ve worked at an early stage tech company as an engineer (<100 people), or been a founder
* You have an expert level understanding of Typescript and React. If you don’t have these, you shouldn’t apply.
* You have previous experience as a growth engineer: optimising customer journeys, building in virality/seat expansion/referrals, building revenue operations infrastructure
* You have knowledge of the typical B2B SaaS growth/revops stack - experimentation, CRM, segmentation tools
* You can function as a fullstack engineer, working on client and server side code, answering data questions using SQL, and contributing to devops and CI/CD processes
* Urgency and intensity in your work
Our tech stack:
Broadly, we use a fairly typical serverless Typescript stack. It’s not a requirement to have worked with every tool in this stack, but the more the better!
* Typescript for all production code
* Firestore as our production database
* Firebase Auth as our auth system
* Backend deployed on Firebase Functions, and making use of PubSub and Cloud Storage
* React frontend, using ShadCN for components, TailwindCSS for styling, React Query for state management
* Posthog for frontend analytics (events, sessions, feature flags, experiments)
* BigQuery as our data warehouse, with Metabase for data visualization. Production data and Posthog events both stream into it so data is in one place.
* Sentry and Google Cloud Logging for monitoring
* Github Actions for CI/CD
The application process:
1. Submit your CV (no need for a cover letter)
2. An initial call with someone from the Fyxer AI team to review your experience and motivation for joining (15 mins)
3. Experience interview (30 minutes)
4. Analytical case study (45 minutes)
5. Live coding (60 minutes)
6. Meet Richard - CEO (30 minutes)