Job Description

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The basics

Your title will be Data Engineer This role pays 70k-90k + equity Matt, Cofounder and CTO, is the hiring manager We work Mon-Thu in our office in Chancery Lane, London
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What are we building?

Great people are working on overdrive to do a great job, but are held back because their inbox is failing them.


We're building an AI Productivity tool that eliminates the admin burden for people who work client facing roles. Think real estate, consultants, recruiters - people who spend hours on emails, scheduling, and follow ups. Fyxer AI simplifies these tasks by organizing your inbox, drafting replies in your own voice, and taking crisp meeting notes.


The best part? Unlike a lot of other AI tools, ours actually gets used.


We've built the product so it requires little set up & nothing extra for users to learn. It works directly inside Outlook, Gmail, & Zoom.


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How has it been going?

Since our launch in May 2024, we've grown from $0 to $8 million in revenue, serving thousands of paying users. In February 2025, we raised a $10 million Series A to accelerate our path to $50 million in revenue--backed by top-tier investors including Marc Benioff (CEO of Salesforce) and 20VC.


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 Co-founder of Snowflake. We're now at the stage of hypergrowth and are looking for the best of the best.


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What do we value?

We believe small, passionate teams outperform big, unfocused ones every time. That's why we're highly selective about who joins us. We're looking for people who bring intensity, creativity, and genuine care to their work.




You'll take on meaningful responsibilities from day one, with opportunities to grow faster than at most companies. We trust our team with real ownership and autonomy because that's how the best work happens.

Requirements

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What will I do?

Maintain and improve pipelines between our data warehouse (Bigquery) and various data sources, including our production database, Posthog, and the SaaS tools we use - Stripe, Intercom etc, and build new pipelines Build improvements to our data transformation process using SQL and dbt, optimising for performance and ease of querying Make architecture decisions regarding data infrastructure Working with stakeholders in the marketing, sales, customer success and product departments to agree metrics that need to be monitored on an ongoing basis, then building data modelling to support this Ensure data is modelled in the correct format to support data visualisation and more detailed analyses
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What does our ideal hire look like?

At least 2 years as a Data Engineer or hands on Data Analyst where you have had ownership of part of the data pipeline. You've worked at an early stage tech company (<100 people) as a data engineer or similar You have an expert level understanding of SQL and a modern ELT stack. If you don't have both of these, you shouldn't apply. Experience with DBT is essential. You are excellent at transforming raw, and often complex, data into production tables for use for visualization and analysis You can interface with both technical and non-technical stakeholders and recommend a data structure for their area that is intuitive and easy to use. Urgency and intensity in your work
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Our tech stack

Broadly, we use a fairly typical ELT stack. It's not a requirement to have worked with every tool we use, but the more the better!

BigQuery as our data warehouse Metabase for data visualization Fivetran to pipe raw data from third party tools (eg Stripe, which we use for billing) into our data warehouse dbt hosted on Github Actions for transformation of raw data into production tables ready for consumption Census for reverse ETL We use Third party tools in analysing, such as Posthog, Stripe, Hubspot, Intercom, and Meta
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The 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 (20-30 mins) Live coding - SQL (30 minutes) Architecture interview (45 minutes) * Meet Richard - CEO (30 minutes)