At a Glance
- Tasks: Lead AI product initiatives and collaborate with engineers on technical solutions.
- Company: Award-winning global hospitality SaaS platform with a focus on AI innovation.
- Benefits: Competitive salary, fully remote work, and flexible hours.
- Other info: Opportunity for real ownership and impact on product strategy.
- Why this job: Shape the future of AI in a dynamic, engineering-led environment.
- Qualifications: Experience as a Product Owner in software or SaaS, with strong technical skills.
The predicted salary is between 80000 - 110000 £ per year.
Location: Remote (UK)
Salary: £80,000 – £110,000
Neulinx have partnered with an award-winning global hospitality SaaS platform used by over 30,000 businesses worldwide, as they continue to scale their next generation AI and platform capability. This is a genuinely unique opportunity for a technical, AI-focused Product Owner who wants to sit at the intersection of product, engineering and AI architecture.
The business is investing heavily in AI-driven workflows, MCP architecture and API-first product development, and they’re looking for someone who can lead product initiatives end-to-end while remaining hands-on technically. This is not a traditional Product Owner role focused purely on tickets and ceremonies. They want someone who can work closely with engineers, shape technical direction and actively contribute to how AI capability is built and deployed across the platform.
The Opportunity
You’ll work closely with engineering leadership, software engineers and senior stakeholders to drive AI-enabled product initiatives from concept through to delivery. A key part of the role involves helping evolve the company’s move towards a more fluid API and MCP-driven architecture, making it easier for third-party platforms and AI agents to consume and interact with company services and data.
You’ll play a central role in:
- Defining and owning AI-enabled product initiatives
- Building and shaping MCP server capability
- Working closely with engineers on APIs, integrations and technical delivery
- Translating business and product requirements into scalable technical solutions
- Driving communication between product, engineering and senior stakeholders
- Supporting AI workflow and semantic caching initiatives across the platform
What They’re Looking For
- Strong Product Owner / Product Manager experience within software or SaaS environments
- Hands-on experience building MCP servers OR strong experience with semantic caching
- Strong understanding of:
- GraphQL
- REST APIs
- API architecture and integrations
- PostgreSQL / data structures
- Experience working closely with software engineers on highly technical products
- Understanding of AI workflows, LLM integrations or AI-enabled platforms
- Ability to lead product delivery end-to-end while remaining technically credible
Why This Role
- Opportunity to shape AI capability within a scaled global SaaS platform
- Highly technical, engineering-led environment
- Real ownership and visibility across product and platform initiatives
- Fully remote UK role with strong flexibility
- High-impact work at the intersection of AI, APIs and product strategy
If you’re a technical AI Product Owner who enjoys working closely with engineers and wants to help shape how AI and MCP architecture are embedded into a live SaaS platform, this is well worth a conversation. Apply to this advert or reach out to Gareth at Neulinx directly.
AI Product Owner (MCP / APIs / AI Workflows) in Exeter employer: Neulinx
Neulinx is an exceptional employer that offers a dynamic and innovative work environment, perfect for a technical AI Product Owner looking to make a significant impact. With a strong focus on employee growth and development, the company provides opportunities to lead cutting-edge AI initiatives while enjoying the flexibility of a fully remote role in the UK. The collaborative culture fosters close partnerships with engineering teams, ensuring that your contributions are valued and directly influence the evolution of their award-winning SaaS platform.
StudySmarter Expert Advice🤫
We think this is how you could land AI Product Owner (MCP / APIs / AI Workflows) in Exeter
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those who work at companies you're interested in. A friendly chat can open doors and give you insights that job descriptions just can't.
✨Tip Number 2
Prepare for interviews by diving deep into the company’s products and tech stack. Show them you’re not just another candidate; you’re genuinely excited about their AI initiatives and how you can contribute to their MCP architecture.
✨Tip Number 3
Don’t underestimate the power of follow-ups! After an interview, drop a quick thank-you note. It keeps you on their radar and shows your enthusiasm for the role.
✨Tip Number 4
Apply through our website! We want to see your application directly, and it gives you a better chance to stand out. Plus, it’s super easy to do, so why not?
We think you need these skills to ace AI Product Owner (MCP / APIs / AI Workflows) in Exeter
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that align with the AI Product Owner role. Highlight your hands-on experience with MCP servers, APIs, and AI workflows to catch our eye!
Craft a Compelling Cover Letter:Use your cover letter to tell us why you're passionate about AI and product management. Share specific examples of how you've driven product initiatives in the past, especially in SaaS environments.
Showcase Technical Credibility:Since this role is highly technical, don’t shy away from discussing your technical skills. Mention your experience with GraphQL, REST APIs, and any relevant projects that demonstrate your understanding of API architecture.
Apply Through Our Website:We encourage you to apply directly through our website for a smoother application process. It helps us keep track of your application and ensures you’re considered for this exciting opportunity!
How to prepare for a job interview at Neulinx
✨Know Your AI and MCP Stuff
Make sure you brush up on your knowledge of AI workflows, MCP architecture, and API integrations. Be ready to discuss how these elements play a role in product development and how you've applied them in past projects.
✨Show Your Technical Credibility
Since this role is highly technical, be prepared to dive into the nitty-gritty details. Share specific examples of how you've worked closely with engineers and contributed to technical solutions, especially around GraphQL and REST APIs.
✨Communicate Like a Pro
This position requires strong communication skills between product, engineering, and stakeholders. Practice articulating complex ideas clearly and concisely, and think about how you can demonstrate your ability to bridge gaps between teams.
✨Prepare for Scenario Questions
Expect questions that ask you to solve hypothetical problems or scenarios related to AI product initiatives. Think through your approach to defining product requirements and driving initiatives from concept to delivery, and be ready to share your thought process.
