Back End Engineer - Data Platform & AI Systems, London

Role Overview

We’re hiring our first engineer dedicated to internal go-to-market and operations systems. This is a foundational role where you’ll design and build an AI-first internal stack from scratch, enabling Sales, Finance, Ops, and Customer Success to operate at maximum velocity.

You’ll have end-to-end ownership across tooling, data, and automation; shaping not just systems, but how the company runs.

In this role, you will:

• Architect and implement an AI-native internal tech stack, influencing infrastructure decisions and long-term direction
• Rapidly ship internal tools and workflows, iterating directly with teammates who use them daily
• Build and maintain our data warehouse and internal data architecture
• Develop automation systems leveraging LLMs, agents, and modern AI tooling
• Help define engineering standards and culture as we scale

About You

We’re looking for someone who genuinely enjoys building tools that make commercial teams faster and more effective.

You likely:

• Have led projects independently from idea to production, and are comfortable collaborating with multiple senior stakeholders
• Communicate clearly and can translate ambiguous business needs into structured technical solutions
• Are familiar with commercial and operational tooling such as Notion, Slack, Retool, Amplitude, Stripe (or similar ecosystems)
• Sales, Finance, Ops, and Customer Success teams will rely on you to improve efficiency and introduce AI-driven workflows
• Are highly proficient in PostgreSQL and at least one major data platform (e.g., Snowflake, BigQuery, Databricks, Firebolt)
• Experience with Node.js and TypeScript is a plus
• Thrive in fast-paced startup environments and feel energized by ambiguity
• Move quickly and constantly look for ways to ship faster

Bonus: Experience designing or building AI-powered internal tools or automation systems.