The basics

• Your title will be Product Engineer

• This role pays £70k-£90k/year (depending on experience) + equity
• Matt, Cofounder and CTO, is the hiring manager
• Onsite at our central London office (Holborn)

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 - think sales, professional services firms, recruiters - feel this pain most acutely. Instead of advising and connecting with clients, they spend hours doing admin. Following up. Scheduling meetings, then taking notes on them. Answering questions they’ve been asked a thousand times. Sorting through the mess that is their inbox.

We’ve built an AI executive assistant that looks at all your emails, messages and meetings, and uses that knowledge to answer your email, schedule meetings, take next steps from meetings and organise your inbox. We turn every employee into a top performer, effortlessly.

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?

We launched our product in March 2024. Since then we’ve gone from $0 to $3.5m in revenue, across 3000 paid users. We’ve done this with a team of just 4, without using any paid marketing until the start of November.

We spent the last 3 months 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 does mean 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 predict we’ll reach $15m in revenue by the end of 2025 - there will be plenty of opportunities for you!

We also believe in hiring people who want ownership and autonomy in their work, and giving it to them. We only hire product engineers. 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 does our ideal hire look like?

• You’ve worked at an early stage company (<100 people) or been a founder yourself
• You have an expert level understanding of Typescript and React
• You want to get involved in product work, rather than just being handed tickets. You’ll be expected to come up with features autonomously, by reading customer feedback and analysing usage data
• 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
• High interest in AI and the problem we’re using it to solve
• Urgency and intensity in your work

Our tech stack

We use Typescript for all code. We have a frontend app built with React, but the product is very backend heavy: it’s deployed on Google Cloud Platform using Cloud Functions, Firestore, Cloud Storage and PubSub. We use Bigquery as our data warehouse, Looker to visualise it, and Sentry and Google Cloud Logging for monitoring. We use Github Actions for CI/CD.

The application process

1. Submit your CV (no need for a cover letter)
2. We’ll review it
3. An initial call with someone from the Fyxer AI team to review your experience and motivation for joining (20 mins)
4. Live coding interview (45 minutes)
5. Product case study (45 minutes)
6. Meet more of the team over lunch (60 mins)