Product Management

Product Management

Senior Product Manager — AI Sports Data — Ljubljana, Slovenia

Turn AI sports-data capabilities into practical betting products, with clear roadmaps, measurable value and reliable delivery.

Vacancy details

This is a private vacancy. Company details stay confidential until InVault confirms a serious candidate fit.

Status
Active
Date posted
2026-10-12
Open until
2027-01-10
Employment type
Full-time
Source-listed languages
Not specified
Language requirement
No mandatory language inferred
Work arrangement
On-site
Physical workplaces
Ljubljana, Slovenia
Applicant eligibility
Applicant geography not specified
Arrangement scope 1
Ljubljana, Slovenia: On-site

Location and working arrangements

Applicant eligibility: Applicant geography not specified

Physical workplaces: Ljubljana, Slovenia

  • Ljubljana, Slovenia: On-site

Overview

This product role sits between AI engineering and the commercial use of live sports data. Technical advances need to become offerings that betting clients can understand and use, supported by clear priorities and credible measures of value. The manager works closely with engineers, data scientists and operations colleagues, assessing data quality, model performance and reliability throughout the lifecycle. The remit includes new opportunities in analytics, simulation-based predictions and foundation-model products. Collaboration with sports leagues and other global stakeholders makes communication across technical and commercial disciplines central to the work.

Requirements

  • Five or more years in product management.
  • Strong betting-industry knowledge, including odds and in-play markets.
  • Ability to translate AI or machine-learning concepts into commercial opportunities.
  • Experience with engineering and data-science teams.
  • Strong analysis and stakeholder communication.
  • Basic SQL and visualisation-tool knowledge advantageous.

Responsibilities

  • Own product vision, roadmap and investment priorities.
  • Define KPIs and assess commercial impact.
  • Translate AI capabilities into product propositions.
  • Coordinate engineering, operations, QA and launch teams.
  • Evaluate new live-data product opportunities.

Conditions

  • Full-time onsite employment in Ljubljana, Slovenia.
  • Five office days per week; flexibility for US stakeholder collaboration.