Founding Forward-Deployed Engineer (+ Equity) at Early-stage AI infrastructure startup

Jack & Jill; Greater London; On-site; GBP 45,000 - 65,000; Full time

Benefits offered by this job

Founding equity

Job summary

Jack & Jill in London is seeking a Founding Forward-Deployed Engineer (Junior to Mid) to bridge data engineering with enterprise strategy, building scalable AI-enabled data infrastructure. You will partner with executives to define data migration plans and deploy AI-native workflows, enabling safe access for LLMs and empowering client teams to manage the new data layer independently.

As one of the first five engineers, you will help shape the product and share in founding equity as the company

Qualifications

• Strong background in data engineering or analytics.
• Experience migrating and mapping data across complex systems.
• Ability to present technical strategies to executives.

Responsibilities

• Define data migration and mapping strategies for enterprise systems.
• Build AI-native workflows to connect data sources for safe LLM access.
• Enable client teams to manage new data infrastructure independently.

Skills

Data engineering

Data analysis

AI-assisted coding

Stakeholder communication

Tools

Cursor

Job description

Job Title

Founding Forward-Deployed Engineer (Junior / Mid-level)

Salary

Not Disclosed

Company Description

Early-stage AI infrastructure startup

Job Description

Join a well-funded startup building the critical connectivity layer for the AI era. As a founding FDE, you will bridge the gap between technical execution and customer strategy, helping enterprises architect data systems for LLMs. This is a high-impact, full-stack role for builders obsessed with AI-native development and solving complex data problems.

Location

London, UK

Why this role is remarkable

• Join as one of the first five employees at a venture-backed startup led by experienced former founders.
• Gain unrestricted access to the latest AI-native development tools, working in a high-efficiency, AI-first engineering environment.
• Secure a founding-level equity stake in a company tackling the essential infrastructure work required for the global AI revolution.

What You Will Do

• Partner with enterprise executives to define data migration and mapping strategies for complex internal systems of record.
• Build and deploy technical solutions using AI-native workflows to connect data sources and enable safe LLM access.
• Drive customer enablement by empowering client teams to manage their new data infrastructure independently over time.

The ideal candidate

• Possesses a strong technical foundation in data analysis or engineering, with experience using AI-assisted coding tools like Cursor.
• Demonstrates exceptional communication skills, capable of presenting technical strategies to senior business leaders like CFOs.
• Exhibits a builder's mindset and thrives in a high-intensity, in-office environment focused on solving complex, real-world problems.