About the role

  • **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

  • **Skills & Qualifications:**
  • **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

Job title

AI Product Owner

Job type

Experience level

Mid levelSenior

Salary

Not specified

Degree requirement

Bachelor's Degree

Tech skills

Location requirements

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