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- Tasks: Lead AI projects and turn innovative ideas into practical solutions for clients.
- Company: Fast-growing AI consultancy focused on transforming businesses with data and machine learning.
- Benefits: Hands-on experience, mentorship, ongoing learning, and a fun work environment.
- Why this job: Make a real impact in an AI-driven world while working with passionate tech experts.
- Qualifications: Experience in product ownership or project management with a strong understanding of AI concepts.
- Other info: Join a collaborative team that values curiosity, innovation, and delivering real customer value.
The predicted salary is between 36000 - 60000 £ per year.
Inference Group is a fast-growing data and AI consultancy dedicated to helping organisations unlock their true potential through the transformative power of data, machine learning, and AI. We work with customers worldwide to turn cutting-edge ideas into scalable, operational solutions that enhance human decision-making and drive sustainable growth.
We’re looking for an AI Product Owner to shape, lead, and deliver AI-enabled solutions that make a real difference for our clients. This role sits right at the intersection of business need, AI capability, and delivery execution. We are looking for someone who understands how AI works, what’s possible, and how to turn ideas into clearly defined, deliverable outcomes.
You’ll work closely with customers, consultants, and technical delivery teams, owning the product vision and roadmap for AI initiatives and ensuring projects move confidently from discovery through to production. This is an ideal role for someone who is delivery-focused, commercially aware, and genuinely curious about AI.
What You’ll Do
- Own the vision, scope, and roadmap for AI-driven products and initiatives.
- Translate business challenges into clear product requirements, priorities, and user stories.
- Lead AI projects from early discovery through to delivery, ensuring solutions are practical, scalable, and aligned to business goals.
- Balance innovation with execution — helping teams move from concepts and experimentation into operational, production-ready solutions.
- Define and track success measures to ensure delivered solutions create real, measurable value.
- Act as the primary product interface between customers and delivery teams.
- Facilitate discovery sessions and workshops to deeply understand business needs, constraints, and opportunities for AI.
- Communicate complex AI concepts clearly to both technical and non-technical stakeholders.
- Build trusted relationships with customers by managing expectations, priorities, and trade-offs effectively.
- Work closely with AI Engineers, Data Scientists, and analysts to shape solution design and delivery approach.
- Support responsible and ethical use of AI, considering data quality, governance, security, and risk.
- Help customers understand the opportunities, limitations, and operational implications of AI solutions.
- Contribute to shaping best practices for AI product delivery across Inference Group.
What You’ll Bring
- Strong delivery capability with genuine curiosity about AI and emerging technologies.
- Experience as a Product Owner, Business Analyst, Delivery Lead, or Project Manager on technology-enabled projects.
- Proven experience delivering data, analytics, or AI-driven initiatives into live, operational environments.
- A strong understanding of AI concepts (e.g. machine learning, automation, large language models).
- Excellent stakeholder engagement skills, with the ability to align business, technical, and compliance perspectives.
- A structured, thoughtful approach to problem-solving and project delivery.
- A collaborative mindset and the empathy required to succeed in a consultancy environment.
Nice to Have
- Experience working in a consultancy or client-facing role.
- Familiarity with Agile or Scrum product ownership.
- Exposure to AI governance, cybersecurity, data ethics, or regulatory considerations.
- Experience questioning existing ways of working and identifying innovative solutions that add real customer value.
Working With Us:
Inference Group is a fast-growing AI consultancy built by people who are naturally curious and passionate about learning. You’ll work alongside experienced consultants, data scientists, and engineers on meaningful client problems, and you’ll have real influence as we continue to shape how AI is delivered in practice. We invest in our people through hands-on experience, mentorship, and access to ongoing learning, certifications, and emerging technology.
Our Values are:
- We Geek Out Loud: we excel in our data and AI domain, using our expertise to deliver solutions that realise value.
- We Act Boldly, and Collaborate Openly: we explore uncharted territories, working on the new to deliver operational solutions at scale.
- We are the Connectors: we bridge the gaps between business value, data engineering, data science and deployment.
- We Empower our Customers: we equip our clients with the skills and knowledge to fully leverage, scale and deploy data and AI solutions.
- We Love our Work: we are proud of the work we do and take ownership of it.
- We are Data Jedis: we work on hard problems and aim to deliver working solutions at scale.
AI Product Owner employer: Inference Group
Contact Detail:
Inference Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Product Owner
✨Tip Number 1
Network like a pro! Get out there and connect with people in the AI and tech space. Attend meetups, webinars, or industry events. You never know who might have the inside scoop on job openings or can refer you directly to hiring managers.
✨Tip Number 2
Show off your passion for AI! When you get the chance to chat with potential employers, share your thoughts on recent AI trends or projects you've worked on. This not only demonstrates your knowledge but also shows that you're genuinely excited about the field.
✨Tip Number 3
Prepare for interviews by practising common questions related to AI product ownership. Think about how you would tackle real-world problems and be ready to discuss your approach. We want to see your thought process and how you can add value to our team!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows us that you’re genuinely interested in joining our team at Inference Group.
We think you need these skills to ace AI Product Owner
Some tips for your application 🫡
Show Your Passion for AI: When you're writing your application, let your enthusiasm for AI shine through! We want to see how curious you are about the field and how you can contribute to our mission of delivering impactful AI solutions.
Tailor Your Experience: Make sure to highlight your relevant experience as a Product Owner or in similar roles. We’re looking for someone who can translate business needs into actionable product requirements, so be specific about your past projects and successes!
Communicate Clearly: Remember, we need someone who can bridge the gap between technical and non-technical stakeholders. Use clear, straightforward language in your application to demonstrate your ability to communicate complex AI concepts effectively.
Apply Through Our Website: We encourage you to apply directly through our website! It’s the best way for us to receive your application and ensures you don’t miss out on any important updates from our team.
How to prepare for a job interview at Inference Group
✨Understand AI Concepts
Make sure you have a solid grasp of AI concepts like machine learning and automation. This will help you communicate effectively with both technical and non-technical stakeholders during the interview.
✨Showcase Your Delivery Experience
Be ready to discuss your previous experience as a Product Owner or in similar roles. Highlight specific projects where you successfully delivered AI-driven solutions, focusing on how you navigated challenges and ensured alignment with business goals.
✨Prepare for Stakeholder Engagement
Think about how you've built relationships with clients and managed expectations in past roles. Be prepared to share examples of how you facilitated discovery sessions or workshops to understand business needs and translate them into actionable product requirements.
✨Emphasise Collaboration and Curiosity
Demonstrate your collaborative mindset and genuine curiosity about AI. Share instances where you challenged existing ways of working and contributed to innovative solutions, showing that you're not just a doer but also a thinker who loves to learn.
