AI Product Owner
Gaming Innovation Group
Full-time
Remote friendly (Barcelona, Catalonia, Spain)
Worldwide
Data Analytics
AI Product Owner
Department: Technology
Employment Type: Full Time
Location: Barcelona
Reporting To: Christopher Zerafa
Description
At Gaming Innovation Group (GiG), we are not just participating in the AI revolution; we are leading it. Our AI, Analytics & Data Science team is the strategic core of our mission to become the undisputed AI-driven leader in the iGaming industry. We are seeking for an AI Product Owner, and you will join a growing, agile team of data scientists and ML engineers at the heart of GiG's most ambitious strategic initiatives.
Core Mission:
Take true ownership ofthe AI product — from the very first idea to the moment it reaches our customers. You’re someone who jumps in with a “go to” attitude, curious to explore new technologies and always eager to understand how things work behind the scenes.
You naturally think with an AI-first mindset, using and experimenting with AI tools to make your work smarter and spotting new ways they can add value. At the same time, you balance big-picture vision with a sharp focus on the details that drive real business results.
You naturally think with an AI-first mindset, using and experimenting with AI tools to make your work smarter and spotting new ways they can add value. At the same time, you balance big-picture vision with a sharp focus on the details that drive real business results.
Key Responsibilities
Product Strategy & Roadmap Ownership:
- Define and own the product vision, strategy, and roadmap for the AI, Analytics & Data Science product portfolio.
- Conduct continuous market and competitor analysis to identify new opportunities and ensure product differentiation.
- Prioritise the product backlog based on business impact, client feedback, and technical feasibility.
- Make clear build, buy, or partner decisions for new capabilities.
Product Discovery & Definition:
- Lead product discovery by engaging directly with clients, sales, and account managers to understand user needs and pain points.
- Translate complex user needs and business requirements into clear, concise user stories and technical specifications for the data science and engineering teams.
- Act as the "voice of the customer" and key stakeholder, managing the product backlog and leading sprint planning.
Go-to-Market & Commercialisation:
- Develop and execute the complete go-to-market strategy for all new AI products and features.
- Create and maintain a library of high-impact sales enablement materials, including case studies, ROI models, and competitor battle cards.
- Partner with marketing to create compelling product messaging that translates technical AI capabilities into clear business value.
Cross-Functional Leadership & Adoption:
- Lead a cross-functional team of data scientists, engineers, designers, and commercial stakeholders, fostering a collaborative and high-performance culture.
- Integrate AI products into the core client onboarding process, tracking and analysing adoption rates to drive deeper engagement.
- Regularly present the product roadmap, performance data, and success stories to leadership and the wider company.
Requirements
- Experience: 3-5+ years of experience in Product Management or Product Ownership, ideally within a B2B SaaS, iGaming, or tech company.
- Domain Knowledge: Demonstrable experience working with technical products, data, or AI/ML. You must be comfortable having in-depth discussions with data scientists and engineers.
- Technical Skills: Strong analytical skills are required. Proficiency in SQL for data querying is a significant plus.
- Communication: Proven ability to translate complex technical concepts into simple, compelling business terms for a non-technical audience.
- Methodology: Experience with agile/scrum methodologies, managing backlogs, and writing effective user stories is essential.
Benefits
- Great career development opportunities
- Hybrid working model
- International Health Insurance
- Health and Wellbeing Package (350 EUR per year)
- Birthday Day Off
- Me Time - 1 day off per year