Engineering Manager

Pulse Group; Greater London; Hybrid; GBP 90,000 - 130,000; Full time

Job summary

Pulse Group is launching an entirely new, AI-native logistics platform and is hiring an Engineering Manager to lead the hands-on build. You will work closely with the CTO to shape architecture, establish engineering standards, and recruit the first engineers as the company scales.

The role is hybrid with London, Bristol or Manchester as base locations, offering autonomy, rapid prototyping, and strong growth potential within a major UK organisation.

Qualifications

• Hands-on engineering leader with production coding experience.
• Experience with Python backends and AWS.
• Proven track record hiring and growing engineering teams.
• Experience building AI-native architectures and LLM-based solutions.
• Experience in startup/scale-up greenfield environments.

Responsibilities

• Lead the hands-on build of a new technology platform.
• Write production code and develop prototypes for services.
• Shape technical decisions with CTO and Principal Solutions Architect.
• Recruit, mentor and lead the first engineers for the new squads.

Skills

Hands-on engineering leadership

Python

AWS

Team building

AI-native architectures

Startup/scale-up mindset

Autonomy/decisive

React/Frontend

Snowflake

Marketplace/logistics tech

Robotics/data/ML tooling

Ground-up team building

Tools

Snowflake

Job description

Location: London, Bristol or Manchester (Hybrid)

How often do you get the opportunity to build an engineering function from scratch, with the backing of one of the UK's most established organisations?

We're exclusively partnering with a major UK organisation launching an entirely new business in the rapidly growing logistics and delivery market.

This is a genuinely greenfield opportunity, combining the pace, autonomy and innovation of a start-up with the investment, infrastructure and scale of an established enterprise.

We're looking for a hands-on Engineering Manager to join the founding technology team, take ownership of the engineering build and help establish the teams, architecture and technical direction of the business.

This isn't a traditional Engineering Manager role. You'll remain close to the code, building and prototyping solutions while hiring and leading the engineering teams as the business scales.

The Technology

The platform is being built using a modern, AI-native technology stack:

• Data Platform: Snowflake
• Frontend: React
• AI & Agentic Systems: LLMs, Model Context Protocol (MCP) and agent-to-agent architecture
• Developer Tooling: Flexibility to use modern development environments and AI-assisted coding tools, including Claude and Codex

Agentic AI will be embedded into the platform from day one, rather than added to existing legacy systems.

What You'll Be Doing

• Lead the hands-on engineering build of a completely new technology platform.
• Write production code, develop prototypes and take ideas through to working services.
• Help design and deliver AI-native solutions using LLMs, MCP and agent-to-agent patterns.
• Recruit, mentor and lead the first engineers as the business establishes its engineering squads.
• Work directly with the CTO and Principal Solutions Architect to shape technical decisions.
• Establish engineering standards, development practices, tooling and delivery processes.
• Take ownership of technical delivery across the platform, marketplace and operational systems.
• Help scale the engineering function as the business grows, with plans for a wider technology team of 20–30 people.

We're looking for an Engineering Manager who is equally comfortable leading engineers and getting hands-on with complex technical challenges.

• Strong software engineering background, with recent hands-on production coding experience.
• Commercial experience developing backend services using Python and AWS.
• Experience managing, mentoring and growing engineering teams.
• Practical experience building solutions using LLMs, agentic AI or AI-native architectures.
• Experience working in a start-up, scale-up or fast-moving greenfield engineering environment.
• Ability to move quickly from proof of concept to production.
• Comfortable operating with autonomy, making technical decisions and working through ambiguity.
• MCP servers and agent-to-agent communication patterns.
• React and modern frontend technologies.
• Snowflake, data engineering or machine learning tooling.
• Marketplace, ecommerce or logistics platforms.
• Warehouse automation, robotics or supply chain technology.
• Experience building engineering teams from the ground up.