The basics

• Your title will be Senior Analytics Engineer
• Marco, Lead Analytics Engineer, is the hiring manager
• We work Mon-Thu in our office in Chancery Lane, London, Fri from anywhere

Compensation

>£140,000 + equity

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, then taking notes on them. Answering questions they’ve been asked a thousand times. Sorting through the mess that is their inbox.

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\u2019ve gone from $0 to $18m in ARR and raised a $30m Series B from top SF investors.

What do we value?

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.

What will I do?

• 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

What does our ideal hire look like?

• You’ve worked at an early stage tech company (<100 people) as an analytics 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

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
• Third party tools we interested in analysing, such as Posthog, Stripe, Hubspot, Intercom, and Meta

The application process

1. Submit your CV (no need for a cover letter)
2. An initial call with someone from the Fyxer AI team to review your experience and motivation for joining (15 mins)
3. Meet our COO, Tom - (30 minutes)
4. Architecture interview (45 minutes)
5. Meet Richard - CEO (30 minutes)