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As AI Product Manager, you will be a key member of the AI leadership team, working alongside the Director of AI Transformation to deliver our vision for publishing, implementing cost savings and revenue growth. You will manage both new AI product initiatives and the ongoing delivery and optimisation of existing AI products. You will own the roadmap, prioritisation, MVP releases, experimentation with A/B tests, feature releases and sprint coordination. You will work closely with engineering, data, product design, delivery and content operations teams to turn strategic intent into working solutions.
Job Responsibility:
Lead and execute the Publishing AI vision: define, manage and deliver AI-enabled publishing product features that align with the organisation’s strategic goals
Work with the Director of AI Transformation and senior leadership to translate the strategy into product roadmaps, epics, MVP launches and feature releases
Gather requirements from stakeholders (editorial and publishing teams) and convert them into epics, user stories and detailed requirements in Jira
Work with the AI transformation team and Delivery to prioritise requirements (using story points, business value, cost/effort) and maintain the backlog in Jira
Working with the Delivery lead to coordinate sprints and allocate resources, manage dependencies, risks, and cross-functional teams (engineering, QA, data, design)
Working with Delivery, write and maintain product epics, features, user stories and acceptance criteria
create Jira tickets for development tasks and track progress
Drive experimentation: design and manage A/B tests, define success metrics, analyse results, iterate the product
Manage full product lifecycle: planning, development, release, maintenance and continuous improvement of AI products
For current AI product portfolio: work with the Delivery lead to maintain and enhance existing AI products, prioritise enhancements, ensure service stability, realise cost savings and revenue outcomes
Understand the capabilities and limitations of AI/ML technologies
work with developers and data Intelligence to identify opportunities for automation, efficiency gains and innovation
Monitor product performance and business KPIs, produce insights and recommendations for next phases
Serve as the “voice of AI product” internally: communicate vision, status updates, roadmaps, trade-offs and next steps to stakeholders across the organisation
Requirements:
Proven experience in a technology / software environment
preferably with experience delivering digital products in an agile environment
Demonstrable experience working with agile teams: writing epics, managing backlogs, writing user stories, working in Jira (or similar) and using story points for prioritisation
Experience coordinating sprints, managing resources, dependencies, multi-disciplinary teams (engineering + data + design + operations)
Strong ability to gather and translate business requirements into technical scope, epics and stories
Experience of experimentation / A/B testing, analysing results and iterating based on data
Good understanding of AI, machine learning concepts and what is feasible in that domain—able to identify where AI can deliver efficiencies and revenue growth
Strong strategic mindset, able to translate vision into roadmap and feature-level deliverables
Excellent communication skills: able to engage technical and non-technical stakeholders, influence decisions, clarify trade-offs
Strong analytical skills and comfort working with data to drive decisions
Familiarity with product metrics, success criteria, KPIs, usage/engagement metrics (especially for AI-enabled products)
Excellent organisational and prioritisation skills: able to juggle multiple streams of work, shifting priorities, resource constraints
Nice to have:
Experience in product management of AI/ML products or data-driven solutions
Experience in publishing, content operations, media or related domain (since role involves publishing AI vision)
Proven track record of driving cost-savings and/or revenue growth via product initiatives
Experience working with cloud platforms, model deployment pipelines
Understanding of ethical AI, model risk, bias mitigation
Knowledge of sports media, sports betting and affiliate content
What we offer:
The opportunity to shape the AI transformation roadmap of a fast-moving organisation
A workplace where talent thrives and collaboration flourishes
A learning environment where your growth is a priority
Work alongside a dream team of talented individuals
Ample opportunities to learn on the job from talented colleagues
An inclusive and safe space for all employees
A culture built on support and camaraderie
Caring colleagues who unite over shared passions and ambitions
A supportive environment where everyone can succeed together
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