Overview

Staff Product Engineer role at Fyxer AI. Base pay range is provided externally and will be discussed with your recruiter. The basics: your title will be Staff Product Engineer. This role pays above market rate with significant equity. Matt, Cofounder and CTO, is the hiring manager. We work Mon-Thu in our office in Chancery Lane, London, and Fri from anywhere.

What are we building?

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 estate agents, insurance brokers, recruiters—feel this pain most acutely. Instead of meeting clients, they spend hours doing admin, following up, scheduling meetings, taking notes, answering questions, and sorting through inbox mess.

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.

How has it been going?

Since launching in April 2024, we’ve gone from $0 to $16m in ARR and raised a Series B from top investors.

What do we value?

Autonomy, agency, and ownership. Each of our Product Engineers owns one of Fyxer AI's products. They own both the product strategy (we have no product managers and have no plans for that to change) and the execution of that strategy. They choose when to bring in qualitative data (customer interviews, surveys, etc.) and quantitative data, supported by our data engineering department. We're intentional about adding new people, aiming for a small team of exceptional people who work hard on problems they care about. This means you may be fast tracked into more senior roles and responsibilities earlier.

What will I do?

In short, own one of Fyxer AI's most important products:

• 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

A key area of responsibility will be mentoring and developing other product engineers, setting the product direction for a large area of the business, and setting the direction for the tooling the team uses internally to be productive.

What does our ideal hire look like?

• You've worked at an early stage tech company as a staff or lead engineer (<100 people), or been a founder
• 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

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, using 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 stream into it
• Sentry and Google Cloud Logging for monitoring
• Github Actions for CI/CD

The application process

• Submit your CV (no need for a cover letter)
• An initial call with a Fyxer AI team member to review your experience and motivation (30 mins)
• Product case study, remote (45 mins)
• Live coding, remote (60 mins)
• Meet the team in the office (60 mins)

Seniority level

• Mid-Senior level

Employment type

• Full-time

Job function

• Information Technology

Industries

• IT Services and IT Consulting

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