Designing, developing, and implementing machine learning models and algorithms at PayPal. Collaborating with data scientists and software engineers to enhance services through innovative AI/ML solutions.
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
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Location requirements
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