Remote Product Manager

Summary

Join G-P and contribute to a team that leads with the first fully customizable suite of global employment products—G-P Meridian Suite™. Your work will enable businesses to manage global teams efficiently, creating and sustaining employment opportunities for workers in over 180 countries with our robust compliance framework and deep industry insights.

Requirements

• Bachelor’s degree in Computer Science, Engineering, Data Science, or a related field
• 5+ years of product management experience focusing on data products, with at least 2 years involving AI/ML data preparation
• Proficiency with Lakehouse architectures and Databricks
• Strong understanding of data ingestion, ETL processes, data warehousing, and data preparation for AI/ML
• Experience with products leveraging big data technologies (e.g., Spark, Hadoop) and cloud platforms (AWS, Azure, GCP)
• Familiarity with machine learning frameworks and tools is a plus
• Technical background in Data Science, Computer Science, Engineering, or a related field is advantageous but not mandatory
• Proven experience managing products in an agile environment
• Proficiency with agile tools such as Jira and Confluence
• Ability to create user stories, manage sprints, and coordinate with cross-functional teams to achieve outcome-focused goals
• Excellent analytical and problem-solving abilities
• Strong communication and interpersonal skills
• Outcome-driven mindset with the ability to align teams towards common objectives

Responsibilities

• Define and execute the product roadmap for data ingestion, analytics solutions, and AI/ML data preparation with clear outcome-oriented goals
• Utilize agile methodologies to manage the product development lifecycle, employing tools such as Jira and Confluence for planning and documentation
• Partner with Architecture and Engineering team to manage the design and implementation of scalable data pipelines and architectures using Lakehouse principles to support AI and ML initiatives
• Lead efforts to ensure data quality, feature engineering, and dataset preparation for AI and machine learning models
• Leverage Databricks in conjunction with Engineering teams to optimize data processing, analytics, and facilitate machine learning workflows
• Work closely with engineering, data science, and business teams to deliver impactful data products and AI/ML solutions
• Stay updated on industry trends in data analytics and AI/ML to ensure our data solutions remain cutting-edge
• Gather and analyze user feedback to drive continuous product improvement, particularly in areas impacting AI and ML capabilities
• Create detailed product requirements, user stories, and maintain an organized product backlog using Jira and Confluence

Benefits

• Competitive salary, transparent pay structure, and equity options
• Comprehensive benefits package including health, dental, and vision insurance, wellness programs, and flexible working conditions
• Extensive career development opportunities, including mentorship, in-house training, and professional growth
• Generous paid parental leave
• Flexible time off
• Flexible spending accounts
• Medical Insurance
• Dental insurance
• Vision insurance
• Sabbatical after 5 years of service