Data Engineer, Fyxer AI
AI Startup
£70-110k
+ Equity
Mon-Thu in office
4 days a week in office (Chancery Lane, London)
AI executive assistant
Job no longer available
AI executive assistant
21-100 employees
Job no longer available
£70-110k
+ Equity
Mon-Thu in office
4 days a week in office (Chancery Lane, London)
21-100 employees
Company mission
Get back one hour every day. Begin your day with emails neatly organized, replies crafted to match your tone and crisp notes from every meeting.
Role
Who you are
- 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
- 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
What the job involves
- 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 means 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 also believe in hiring people who want ownership and autonomy in their work, and giving it to them. Instead of just being handed tickets, you’ll own our data infrastructure, proactively suggesting improvements, including tools we use, and how data is modelled and moved between locations
- In short, you’ll own Fyxer AI’s data infrastructure
- 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
- Working with data analysts to ensure data is modelled in the correct format to support data visualisation and more detailed analyses
- 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
Application process
- Matt, Cofounder and CTO, is the hiring manager
- 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)
Salary benchmarks
Our take
Built with the intention of turning the burden of email drafting into a business's competitive edge, Fyxer AI delivers AI executive assistants that can organise 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.
Fyxer is especially useful for industries that spend large amounts of time composing emails. Think real estate, consultants and recruiters, all saving time through the pure-play AI software of Fyxer and its open-source AI models and retrieval augmented generation. The company claims that its customers send 53% of the email drafts generated on its platform.
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. It also rocketed from $1m ARR to $22m in just 10 months in 2025 - a sure-fire sign of the value users see in its offering
Steph
Company Specialist at Welcome to the Jungle
Company
Funding (last 2 of 3 rounds)
Sep 2025
$30m
SERIES B
Mar 2025
$10m
SERIES A
Total funding: $40.5m
Company values
- What do we value? We're very intentional about adding new people. We believe a small team of exceptional people working hard at a problem they care about will always outperform a larger, more unfocused team. That means you'll need to bring an intensity to this role that might not be expected at other companies but it also means you'll be fast-tracked into roles with greater responsibilities far earlier.
Company HQ
Midtown Manhattan, New York
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)Previously 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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