4-day Week (Fridays Off!)
POSITION OVERVIEW
Job Type: Full-Time
Salary: £45,000+
Required Experience: Automation and AI
Location: Remote - UK (London, Leeds, Manchester)
The Opportunity
This role is about dramatically increasing our speed of execution,turning ideas into working tools in weeks rather than months.
You’ll design and build production-ready systems that support campaign intelligence, automation and structured decision-making across the agency, helping our teams move faster, make smarter decisions and deliver even better results for clients.
Many of the tools you build will start by solving real operational problems internally, but they’ll be engineered with the ambition and architecture required to evolve into externally facing tools or productised systems where appropriate.
If you enjoy building practical systems, working closely with operators and seeing your work used every day across a business, you’ll feel right at home at Reboot.
REQUIRED SKILLS
- Excellent communication and presentation skills
- Ability to think 'outside-the-box'
- Proficient in Microsoft Office/Excel
- Excellent writing and organisational skills
- Proactive with the ability to multi-task
- Knowledge of search engines and basic approaches to SEO
- Strong proficiency in data analysis tools such as Python, R, SQL, Excel
4-day work week (Fridays off)
Fully remote work (UK-based)
Co-working credits across the UK
Cash health plan
Company socials
83+ paid days off every year
Transparent progression opportunities
Christmas shut-down
Get your birthday off
Company Pension
Enhanced family leave
Get to know what it’s really like to work at Reboot - visit our culture page to learn more.
Key Objective
As aProduct Engineer, your objective is to accelerate the development of proprietary, AI-enabled systems that enhance how Reboot operates.
Your work will directly influence:
- The speed at which ideas move from concept to production
- Operational efficiency across the agency
- The development of proprietary technical capability
- The scalability and reliability of our internal systems
- The potential creation of future productised tools
- This role is central to building the technical infrastructure that supports Reboot’s next stage of growth.
Core Responsibilities
- Design and engineer scalable systems that support automation, campaign intelligence and structured decision-making across the agency
- Define technical approaches, data models and architecture standards that support long-term maintainability and growth
- Build systems that are production-ready from the outset, considering scalability, security and integration
- Own architectural decisions appropriate to a mid-level engineer while collaborating with leadership on long-term technical direction
- Build robust backend systems using Python, APIs and structured databases
- Develop automation frameworks, scoring engines and AI-enabled workflows that support campaign delivery
- Integrate LLM APIs, embeddings and structured AI techniques where they provide measurable value
- Deploy systems within secure cloud environments with appropriate version control and documentation
- Accelerate development cycles, moving from concept to deployed MVP quickly and efficiently
- Design and implement intelligent or agent-style automation to reduce repetitive manual work
- Build validation, classification and recommendation systems that support campaign execution and insight
- Ensure AI-enabled tools are reliable, commercially justified and scalable across the organisation
- Embed systems into operational workflows to ensure they deliver measurable impact
- Integrate internal platforms such as ClickUp and other tools via APIs to create cohesive systems
- Measure efficiency gains, quality improvements and operational impact
- Collaborate with leadership to identify opportunities where internal systems may evolve into client-facing tools or productised assets
About You
You’re a systems-oriented engineer who enjoys building tools that solve real operational problems.
You combine strong backend engineering capability with curiosity about automation and AI.
You likely have:
- Experience as a backend engineer, ideally within a digital, SaaS or technical environment
- Strong experience with Python and API integrations
- Experience designing systems and architecture rather than one-off scripts
- Experience building and deploying production-ready tools in cloud environments
- Experience integrating AI services, LLM APIs or structured automation workflows
- A commercially aware mindset, prioritising engineering work based on measurable impact
- Comfort working with non-technical teams and embedding tools into real workflows
- Strong communication skills and the ability to explain technical systems clearly
- Comfort working in a remote, fast-moving environment with high standards
- Experience working with workflow platforms such as ClickUp is advantageous
- Awareness of responsible AI practices and data handling considerations
Think you're the right fit?
Apply via our careers form - we’d love to hear from you.
We Are EPIC
Everything we do is underpinned by our values:
Energetic, Persistent, Inquisitive, Courageous
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