Hybrid Product Owner – Pay Analytics

at beqom

• Job title: Product Owner – Pay Analytics
• Job type: Full Time
• Experience level: Mid level, Senior
• Salary: Not specified
• Degree requirement: Bachelor's Degree
• Location requirements: Hybrid, Krakow, Poland

About the role

• Product Owner responsible for enhancing the Pay Analytics platform at beqom. Collaborating cross-functionally to drive impactful user features in a B2B SaaS context.

Responsibilities

• Execute and deliver on the roadmap for features across our Pay Analytics application.
• Translate complex analytical concepts and statistical outputs into intuitive user interfaces and clear actionable insights for technical and 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 ideally with proven experience in needing a technical understanding to make decisions.
• Applied experience on statistics and statistical modelling
• Proven track record of defining product requirements and delivering 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.
• Desirable, but not essential
• Experience in the HR Technology (HR Tech) space, particularly with compensation, analytics, or pay equity solutions.
• A statistics degree or a degree involving courses in statistics
• Knows concepts of multivariate regression modelling, the core assumptions, typical tests and analysis, and statistics behind the calculation of coefficients and significance.

Benefits

• 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.
• Collaborate with a passionate, diverse and talented team around the globe.