AI Product Owner

The Portfolio Group Inc.; Manchester; On-site; GBP 77,000 - 104,000; Full time

Job summary

The Portfolio Group Inc. is seeking an exceptional AI Product Owner to own the AI product roadmap for a sales-led, essential business services provider. You will define the vision, prioritise the backlog and drive AI features from concept to production-grade delivery for web and app offerings.

You will partner with product, content, and engineering teams, manage stakeholders at all levels, and track metrics to continually optimise AI-driven solutions across the business.

Qualifications

• Degree in computer science, AI, ML or a related STEM field.
• Proven experience as a Product Owner or Product Manager on AI/ML products with stakeholder management.
• Track record of taking ML models or GenAI features into production.
• Hands-on understanding of RAG, semantic search and text embeddings.
• Cloud experience with Azure, AWS or GCP; strong ML/Data Science fundamentals.

Responsibilities

• Own the AI product vision and roadmap across web and app products.
• Collaborate with product managers, engineers and stakeholders to define and prioritise AI/ML features.
• Translate business needs into requirements, user stories and a prioritised backlog.
• Drive adoption using AI to increase reach, engagement and usage of services.
• Define success metrics and govern performance post-launch.

Skills

AI Product Ownership

Stakeholder Management

ML/GenAI Production

RAG Applications

Semantic Search

Text Embeddings

Python

SQL

PyTorch

TensorFlow

Azure/AWS/GCP

Education

Degree in Computer Science, AI, ML

Tools

Azure

AWS

GCP

PyTorch

TensorFlow

Job description

AI Product Owner | Manchester (Office Based) | £90,000 + Fantastic Benefits | Reporting to: Chief Executive Officer

A genuine once-in-a-career opportunity.

We're looking for an exceptional AI Product Owner to take ownership of the AI product roadmap for a sales-led, essential business services provider at the forefront of digital innovation. The business has an unrivalled track record of year-on-year subscription growth and is part of a highly successful international Group. It is now investing seriously in AI, both in client-facing products and internally to drive efficiency across the business.

This is a rare opportunity for an experienced AI Product Owner or AI Product Manager, or a Senior AI Engineer ready to move into product, to own AI products end to end. You'll set the vision and roadmap and take generative AI features from concept through to production-grade delivery.

What You'll Do

• Own the AI product vision and roadmap, leading the design and launch of market-leading AI features across the web and app-based product portfolio.
• Partner with product managers, content managers, engineers and senior stakeholders to define, prioritise, build and optimise AI, ML, LLM and GenAI solutions.
• Translate business and customer needs into clear requirements, user stories and a prioritised backlog.
• Use AI to broaden reach, engagement and utilisation across the company's services.
• Identify opportunities to drive efficiency through AI across the wider business, and build the business case for each.
• Track the competitive landscape and keep the product ahead of advances in GenAI.
• Define the success metrics for every AI feature and govern performance after launch.
• Analyse usage data and user feedback to drive continuous optimisation, reporting findings to stakeholders.
• Champion AI across the business, educating and supporting engineering teams and wider colleagues.

What You'll Bring

• A degree in computer science, AI, machine learning or a related STEM field.
• Proven experience as a Product Owner or Product Manager on AI or ML products, with confident stakeholder management and communication at all levels.
• A track record of taking business-critical ML models or GenAI features into production.
• Hands-on understanding of RAG applications, semantic search and text embeddings.
• Cloud experience, ideally with Azure, AWS or GCP.
• Strong ML and data science fundamentals, including NLP.
• The ability to manage AI, RAG and GenAI risk, and knowledge of fine-tuning models on proprietary datasets.
• Technical credibility with Python and SQL, and familiarity with frameworks such as PyTorch and TensorFlow.

If you're ready to own AI products from vision to production, at real scale, this is the role for you. You'll join a high-growth organisation where you can make an immediate impact and broaden your skillset, working closely with a highly commercial Board and C-Suite.