Join beqom - where tech meets impact

beqom is a high-growth B2B SaaS platform that helps the world’s most respected companies make pay fair, transparent, and motivating. Founded in Switzerland and serving enterprises worldwide, our all-in-one solution is built on beqom Pay Intelligence - empowering HR and business leaders to navigate the complexities of compensation, ensure compliance, and unlock the full potential of their people.

If you thrive in a fast-moving, product-led environment and love turning data into measurable results, you’ll feel right at home with us.

The Role: Product Owner, Machine Learning

You will be responsible for making both our powerful machine learning and analytics frameworks impactful, intuitive and accessible for non-technical end-users, such as HR professionals and business leaders.

This requires a unique blend: a solid grasp of statistics, metric generation, reporting, and analytics, combined with a proven talent for simplifying technical interfaces and processes.

You will work closely with data scientists, engineers, designers, and customer-facing teams to deliver features that empower our users to achieve pay equity.

What you'll be doing

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

What we need

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.

Desirable, but not essential

Experience in the HR Technology (HR Tech) space, particularly with compensation, analytics, or pay equity solutions.
Experience with data visualization tools and techniques.
Familiarity with usability testing and user research methodologies.
Knows core concepts of model fine-tuning, vector database administration, prompt engineering, and context engineering.

Why Join Us?

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.

Product Owner, Machine Learning

Job Description