At a Glance
- Tasks: Design and build AI-enabled systems to enhance operational efficiency and decision-making.
- Company: Join a dynamic agency with a focus on innovation and collaboration.
- Benefits: Enjoy a 4-day work week, remote work, and generous paid time off.
- Why this job: Make a real impact by turning ideas into production-ready tools quickly.
- Qualifications: Experience in backend engineering, Python, and API integrations required.
- Other info: Work in a fast-paced environment with excellent growth opportunities.
The predicted salary is between 45000 - 45000 £ per year.
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
Benefits:
- 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
Key Objective
As a Product 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
Product Engineer (Automation & AI) employer: Reboot Online
Contact Detail:
Reboot Online Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Product Engineer (Automation & AI)
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend virtual meetups, and connect on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to automation and AI. This will give potential employers a taste of what you can do and how you think outside the box.
✨Tip Number 3
Prepare for interviews by practising common questions and scenarios related to product engineering. Think about how you can demonstrate your experience with Python, APIs, and building production-ready systems.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love hearing from passionate candidates who are eager to join our team at Reboot.
We think you need these skills to ace Product Engineer (Automation & AI)
Some tips for your application 🫡
Show Your Passion for Automation & AI: When writing your application, let us see your enthusiasm for automation and AI. Share specific examples of projects or systems you've built that demonstrate your skills and how they relate to the role. We love seeing candidates who are genuinely excited about what they do!
Tailor Your Application: Make sure to customise your application to highlight the skills and experiences that align with the job description. Use keywords from the listing, like 'scalable systems' and 'production-ready tools', to show us you understand what we're looking for. This helps us see you as a great fit right away!
Be Clear and Concise: We appreciate clear communication, so keep your application straightforward and to the point. Avoid jargon unless it's relevant, and make sure your writing is organised. A well-structured application reflects your ability to communicate effectively, which is key for this role.
Apply Through Our Website: Don’t forget to apply through our careers form on the website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows us you’re proactive and ready to take the next step in your career with us!
How to prepare for a job interview at Reboot Online
✨Know Your Tech Inside Out
Make sure you’re well-versed in the technologies mentioned in the job description, especially Python and API integrations. Be ready to discuss your past projects and how you've used these tools to solve real problems.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled operational challenges with innovative solutions. Think about specific instances where your work led to measurable improvements, as this aligns perfectly with the role's focus on operational efficiency.
✨Communicate Clearly and Confidently
Since excellent communication is key, practice explaining complex technical concepts in simple terms. This will help you connect with non-technical team members and demonstrate your ability to collaborate effectively.
✨Embrace the Company Culture
Familiarise yourself with Reboot’s values: Energetic, Persistent, Inquisitive, Courageous. Be prepared to discuss how you embody these traits in your work and how they align with your approach to engineering and teamwork.