Hybrid Product Owner, Machine Learning

at beqom

• Job title: Product Owner, Machine Learning
• Job type: Full Time
• Experience level: Mid level, Senior
• Salary: Not specified
• Degree requirement: Bachelor's Degree
• Location requirements: Hybrid, Dublin, Ireland

About the role

• Lead ML and analytics product features at beqom, B2B SaaS compensation platform. Translate statistical outputs into intuitive interfaces for HR users and manage roadmap delivery.

Responsibilities

• Responsible for making machine learning and analytics frameworks impactful, intuitive and accessible for non-technical end-users
• Execute and deliver on the roadmap for ML and analytics features across all beqom applications
• Translate complex analytical concepts and statistical outputs into intuitive user interfaces and clear actionable insights
• Write product requirements, user stories, specifications, and acceptance criteria
• Collaborate closely with data scientists, engineers, designers, and customer-facing teams throughout development lifecycle
• Manage the product backlog, prioritize features, and make trade-off decisions based on user value, business goals, and technical feasibility
• Define and analyze key product metrics to measure success and inform iterations
• Work with the Product Manager and clients to prioritize work for the SaaS offering

Requirements

• Bachelor's or Master’s degree in a scientific, technical, or quantitative field (e.g., Hard sciences, Computer Science, Engineering, Finance, Economics, Statistics)
• Minimum of 5 years of experience in a Product Management or Product Owner role focused on data, reporting, analytics and/or statistics
• Experience with statistical modelling
• Experience developing functionality with ML and Gen-AI
• Proven track record of defining product requirements and owning a product roadmap within an engineering team
• Experience in a client-facing role and managing stakeholder expectations
• Excellent analytical and problem-solving skills
• Experience writing user stories, specifications, acceptance criteria (Jira)
• Familiarity with data visualization tools and techniques (desirable)
• Familiarity with usability testing and user research methodologies (desirable)
• Knowledge of model fine-tuning, vector database administration, prompt engineering, and context engineering (desirable)

Benefits

• Dynamic, autonomous environment
• Opportunity to drive meaningful change
• Build a fairer future for every employee
• Collaborate with a passionate, diverse and talented team around the globe