
Staff Product Engineer
- London
- Permanent
- Full-time
- Your title will be Staff Product Engineer
- This role pays £170-£200k. We'll match your salary with the same amount in share options, vesting over 4 years.
- Matt, Cofounder and CTO, is the hiring manager
- We work Mon-Thu in our office in Chancery Lane, London, Fri from anywhere
- Decide on metrics for your product, and gain an intuitive understanding of its value by using it yourself and speaking to customers.
- Use quantitative data, customer insight, and product sense to build a strategy for your product area, and prioritise initiatives within that strategy
- Execute your strategy by coding up your ideas
- Manage and improve reliability in your product area, by monitoring logs, analysing support tickets and fixing bugs
- You've worked at an early stage tech company as a staff or lead engineer (
- You have an expert level understanding of Typescript and serverless architecture. If you don't have these, you shouldn't apply.
- 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, and answering data questions using SQL
- High interest in AI and the problem we're using it to solve
- Urgency and intensity in your work
- 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
- An initial call with someone from the Fyxer AI team to review your experience and motivation for joining (30 mins)
- Product case study, remote (45 minutes)
- Live coding, remote (60 minutes)
- Meet team in office (60 minutes)