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For Companies At a Glance
- Tasks: Lead AI systems and automation projects, optimising workflows with GPT models.
- Company: Join a fast-growing creative agency focused on innovative AI solutions.
- Benefits: Enjoy a hybrid work model, competitive salary, and potential for contract extension.
- Why this job: Shape the future of AI operations and make a real impact in a dynamic environment.
- Qualifications: 3-5 years in technical product operations and experience with prompt engineering required.
- Other info: Part-time candidates are welcome; immediate start available.
The predicted salary is between 40000 - 60000 £ per year.
A fast-growing creative agency is building an AI-first internal operating system - and we’re looking for a high-impact Prompt Engineer & AI Systems Manager to help shape and deliver it. This role focuses on internal systems that power business operations, sales enablement, and marketing automation through the use of GPT models and low-code tools. This is a delivery-focused role ideal for someone with a background in internal automation, AI systems architecture, and prompt engineering. You’ll collaborate cross-functionally with Sales, Operations, Delivery, and Leadership teams to create, refine, and scale AI-powered workflows. While initially offered as a three-month engagement, there is strong potential for extension based on performance and business needs.
Key Responsibilities
- AI Systems Ownership: Maintain and evolve the internal AI Operating System. Lead structured weekly reviews of GPT usage, implementation feedback, and performance metrics across departments.
- Prompt & Schema Engineering: Design, refine, and optimise structured GPT prompts to support use cases such as proposal QA, CRM triggers, reporting, and internal workflows. Ensure schema logic, tone, and functional performance are consistently high-quality.
- Cross-Functional Enablement: Collaborate with internal teams to develop and roll out tailored GPT-based tools. Own briefing, configuration, and deployment processes to ensure smooth adoption and value delivery.
- Automation Stack Management: Maintain and optimize the automation engine using tools like Zapier, Make, HubSpot, Notion, Clay, and Airtable. Ensure all tools work in alignment with system architecture and team needs.
- AI Feedback Looping: Gather user feedback across GPT tools and systems. Translate insights into prompt enhancements, system updates, and change logs.
- Documentation & Transparency: Create and maintain clear documentation in Notion for all prompt logic, systems architecture, and automation logic. Ensure systems are easy to inherit, adapt, and scale.
- Innovation & System Evolution: Identify opportunities to modularize, improve, or re-architect systems based on emerging technologies and team feedback. Proactively propose improvements to keep AI infrastructure sharp and scalable.
What We’re Looking For
Must-Haves:
- 3-5 years of experience in technical product operations, internal tooling, or workflow automation
- Demonstrated experience in prompt engineering with tools like ChatGPT or other LLMs
- Proficiency with low-code automation platforms (e.g. Zapier, Make, Airtable, Notion, HubSpot)
- Strong operational discipline: cadence-driven, feedback-oriented, and systems-minded
- Attention to detail in documentation and handover readiness
- Ability to translate friction points into practical system improvements
Nice-to-Haves:
- Experience in agency, startup, or creator-tech environments
- Familiarity with LangChain, vector search, or building internal GPT-based apps
- Comfortable operating in a hybrid technical/ops role
- Experience using AI or automation to streamline internal workflows
Why This Role Matters: This is not about layering AI onto outdated systems - it’s about building a modular, intelligent operational foundation from scratch. Your contributions will directly power internal performance, scalability, and innovation.
Project Manager- AI Operations employer: Sphere Digital Recruitment
Contact Detail:
Sphere Digital Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Project Manager- AI Operations
✨Tip Number 1
Familiarise yourself with the latest trends in AI systems and prompt engineering. Being well-versed in current technologies and methodologies will help you stand out during discussions with our team.
✨Tip Number 2
Network with professionals in the AI and automation space. Engaging with others in the industry can provide insights and connections that may be beneficial when applying for this role.
✨Tip Number 3
Prepare to discuss specific examples of your experience with low-code automation platforms. Highlighting your hands-on experience will demonstrate your capability to manage and optimise our automation stack effectively.
✨Tip Number 4
Showcase your problem-solving skills by thinking of potential improvements or innovations for internal workflows. Presenting fresh ideas can illustrate your proactive approach and fit for our dynamic environment.
We think you need these skills to ace Project Manager- AI Operations
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in technical product operations, internal tooling, and workflow automation. Emphasise your background in prompt engineering and familiarity with low-code platforms like Zapier and Notion.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for AI systems and automation. Mention specific projects or experiences that demonstrate your ability to design and optimise structured GPT prompts and your operational discipline.
Showcase Relevant Skills: In your application, clearly outline your proficiency with tools mentioned in the job description, such as HubSpot, Airtable, and Make. Provide examples of how you've used these tools to improve internal workflows or systems.
Highlight Collaboration Experience: Since the role involves cross-functional collaboration, include examples of how you've worked with different teams in previous roles. This could be in terms of developing tailored tools or gathering user feedback to enhance systems.
How to prepare for a job interview at Sphere Digital Recruitment
✨Showcase Your Technical Expertise
Make sure to highlight your experience with prompt engineering and low-code automation platforms during the interview. Be prepared to discuss specific projects where you've successfully implemented these technologies, as this role heavily relies on technical skills.
✨Demonstrate Cross-Functional Collaboration
Since the role involves working with various teams, share examples of how you've effectively collaborated with different departments in previous roles. This will show your ability to communicate and work well in a cross-functional environment.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving skills and operational discipline. Prepare to discuss how you would handle specific challenges related to AI systems management or workflow automation, showcasing your analytical thinking.
✨Emphasise Documentation Skills
Given the importance of clear documentation in this role, be ready to talk about your approach to maintaining and creating documentation. Highlight any tools you've used, like Notion, and how you ensure that systems are easy to inherit and adapt.
