# Product Engineer - High Ownership Role

**Company:** [REalyse](http://jobs.workable.com/companies/miERPD2xBSt1z592jZdEjS.md)
**Location:** Remote
**Workplace:** remote
**Employment type:** Full-time
**Department:** Engineering

[Apply for this job](http://jobs.workable.com/view/9ab28b2f-b7bb-461c-926c-7c9caf83cf7f)

## Description

### About REalyse

REalyse builds the data and intelligence layer for the UK property market.

Our platform processes large-scale geospatial, planning, and transactional datasets to power valuation models, portfolio monitoring tools, and AI-driven workflows used by property professionals across the country.

We combine modern frontend systems, high-performance backend services, and AI to solve complex real-world problems.

### This is a high-ownership role

This is not a “ticket-driven” engineering role.

You will be responsible for owning and delivering product features and systems end-to-end – from idea through to production – across frontend, backend, and infrastructure.

Success requires:

-   Strong fullstack technical ability
-   Clear product thinking
-   High ownership and accountability

If you prefer clearly defined tasks with limited ambiguity, this is not the role for you.

### What you’ll do

### Own and deliver fullstack product features

-   Design, build, and ship features end-to-end across frontend, backend, and infrastructure
-   Take ideas from concept → production with minimal hand-holding
-   Ensure what you ship works in the real product, not just in isolation

### Think in systems, not just components

-   Translate product goals into technical solutions
-   Make pragmatic trade-offs between speed, quality, and scalability
-   Design solutions that are maintainable and evolve with the product

### Build production-quality systems

-   Write clean, reliable, and scalable code across the stack
-   Improve performance, observability, and reliability of existing systems
-   Debug and fix issues in live environments

### Work as a product engineer

-   Collaborate closely with product, data, and design
-   Challenge requirements and improve solutions
-   Think about user impact, not just implementation

### Use AI as a force multiplier

-   Use tools like Cursor, Copilot, and LLMs to accelerate delivery
-   Build and integrate AI-powered features where appropriate
-   Maintain engineering quality while moving fast

### Contribute to engineering standards

-   Raise the quality bar across the codebase
-   Mentor other engineers where needed
-   Improve developer experience, tooling, and workflows

## Requirements

### Core requirements

### Strong fullstack capability (required)

You must be able to operate effectively across a significant portion of the stack:

-   TypeScript & React (modern patterns, performance, state management)
-   API design and integration (REST and/or GraphQL)
-   Backend development (Golang)
-   SQL and data modelling (PostgreSQL preferred)
-   Experience working with production systems

### Delivery and ownership mindset (required)

You:

-   Take responsibility for problems and drive them to completion
-   Are comfortable with ambiguity and can move forward without perfect specs
-   Focus on outcomes, not activity
-   Identify risks and raise them early
-   Balance speed with engineering quality

### Highly desirable

-   Geospatial experience (PostGIS, mapping libraries such as vis.gl / deck.gl)
-   Experience deploying and operating systems in AWS (ECS, Fargate, S3, CloudFront)
-   CI/CD pipeline design and ownership
-   Experience building data-heavy or visual products
-   Experience with ClickHouse or large-scale analytical data systems
-   React Native / mobile experience
-   Experience working in startup or scale-up environments
-   Experience building or integrating AI-driven features

### Who you are

-   You think like an owner, not an implementer
-   You care about building products, not just writing code
-   You are proactive, not reactive
-   You communicate clearly and challenge when needed
-   You raise the standard of the team around you

### How we work

-   Engineers own problems end-to-end
-   We optimise for impact, not activity
-   We use AI extensively in our workflows
-   We favour pragmatic solutions over theoretical perfection
-   We collaborate closely across engineering, data, and product

### What success looks like (3–6 months)

By 3–6 months, you will:

-   Have delivered multiple production features end-to-end, from ambiguous idea through to shipped product
-   Operate with high ownership – proactively driving work forward with minimal oversight
-   Make and influence technical decisions, not just implement them
-   Work effectively across the stack (React, Golang, data layer) and debug issues in production
-   Use AI tools to meaningfully accelerate delivery without compromising quality
-   Raise the bar for the team through code quality, feedback, and improved ways of working

## Benefits

### Salary

£60,000 – £70,000 depending on experience

### Benefits

-   25 days annual leave plus bank holidays
-   Flexible remote working
-   High autonomy and ownership
-   Direct influence on technical direction
-   Learning and development support

### Hiring process

We aim to move quickly and minimise unnecessary stages. The process typically includes:

-   Initial screening call
-   Technical interview
-   Practical exercise
-   Final interview

If you're an experienced fullstack engineer who wants to own systems, work on meaningful technical challenges, and help build AI-powered products, we’d love to hear from you.