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, Reykjavik, Iceland

About the role

• Product Owner for machine learning at beqom, a B2B SaaS improving employee compensation fairness. Collaborate with data scientists to transform complex data into user-friendly insights.

Responsibilities

• Execute and deliver on the roadmap for features focused on machine learning and analytics across all beqom applications.
• Translate complex analytical concepts and statistical outputs into intuitive user interfaces and clear actionable insights for non-technical users.
• Write clear and concise product requirements, user stories, specifications, and acceptance criteria (Jira is your friend!).
• Collaborate closely with engineering and design teams throughout the development lifecycle to ensure features are built to specification and meet user needs.
• 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, inform future iterations, and demonstrate value.
• Work with the Product Manager and clients to prioritize what makes sense for our SaaS offering given the broader context.

Requirements

• Bachelor's or Master’s degree in a scientific, technical, or quantitative field (e.g., Hard sciences, Computer Science, Engineering, Finance, Economics, Statistics).
• A minimum of 5 years of experience in a Product Management or Product Owner role with a focus 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, with the ability to manage stakeholder expectations and handle challenging conversations.
• Excellent analytical and problem-solving skills.
• Experience in the HR Technology (HR Tech) space, particularly with compensation, analytics, or pay equity solutions (desirable, but not essential).
• Experience with data visualization tools and techniques (desirable, but not essential).
• Familiarity with usability testing and user research methodologies (desirable, but not essential).

Benefits

• Your career, your design.
• Unleash your ambition in our dynamic, autonomous environment.
• Drive meaningful change.
• Build a fairer future for every employee by joining a market leader that is improving the world of work.
• Belong to something bigger.
• Collaborate with a passionate, diverse and talented team around the globe.