Lead Product Engineer, Fyxer.AI

£140-170k

+ Matching share options

SQL

React

TypeScript

GCP

Sentry

Metabase

Firebase

BigQuery

Firestore

Senior and Expert level

London

More information about location

4 days a week in office (Chancery Lane, London)

AI executive assistant

Be an early applicant

AI executive assistant

21-100 employees

B2CB2BArtificial IntelligenceInternal toolsProductivity

Be an early applicant

£140-170k

+ Matching share options

SQL

React

TypeScript

GCP

Sentry

Metabase

Firebase

BigQuery

Firestore

Senior and Expert level

London

More information about location

4 days a week in office (Chancery Lane, London)

21-100 employees

B2CB2BArtificial IntelligenceInternal toolsProductivity

Company mission

To offer executives a holistic service rather than a single employee and EA’s flexible and remote working.

Job

Company

Role

Who you are

You’ve worked at an early stage tech company as a product-focused engineer (<100 people), or been a founder
You have an technical/hands on 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
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

What the job involves

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, supported by our data engineering department
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, less focused 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
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

Application process

Submit your CV (no need for a cover letter)
An initial call with someone from the Fyxer AI team to review your experience and motivation for joining (15 mins)
Product case study, remote (45 minutes)
Live coding, remote (60 minutes)
Meet team in office (60 minutes)

Salary benchmarks

Our take

Fyxer AI delivers AI executive assistants that can organize inboxes, draft emails in the tone-of-voice of each user, and write "better-than-human" meeting notes. Plugging directly into Gmail, Outlook, Slack, Teams, Google Meet and Zoom, its service is simple to use without the need to grasp additional software.

As more and more professionals turn to AI to save them time in their everyday tasks, Fyxer AI's secure and streamlined service is sure to gain more attention. Things certainly look to be going well, as in 2024 the company raised $500K in just three weeks from existing customers and their networks - a sure-fire sign of the value users see in its offering.

Steph

Company Specialist at Welcome to the Jungle

Company

Funding (2 rounds)

Mar 2025

$10m

SERIES A

Aug 2024

$0.5m

EARLY VC

Total funding: $10.5m

Company HQ

Alamo Square, San Francisco, CA

Leadership

Archie Hollingsworth

(Co-Founder & CRO)

Founding Member of Pavilion. Co-founded FYXER, an Executive Assistant Agency, in 2016, and is now using that knowledge at Fyxer AI.

Matthew Ffrench

(Co-Founder & CTO)

Previoulsy co-founded and was CTO at Mercado. Was also Product Manager at Zopa.

Richard Hollingsworth

(Co-Founder & CEO)

Founding Member of AI Circle. Co-founded FYXER with Archie, and was a Quant Trader at Bull Moose Derivatives.

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