G-P · 2 days ago
Product Manager - Data
United States (Remote-First)
Full-time
Remote
Senior Level
$110K/yr - $130K/yr
5+ years exp
Maximize your interview chancesSoftware Development
Insider Connection @G-P
Get 3x more responses when you reach out via email instead of LinkedIn.
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.
Qualification
Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.
Required
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).
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.
Preferred
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.
Benefits
Generous paid parental leave
Flexible time off
Flexible spending accounts
Medical Insurance
Dental insurance
Vision insurance
Sabbatical after 5 years of service
Company
G-P
G-P helps growing companies unlock their full potential by making it possible to build highly skilled global teams in days instead of months.
1,001-5,000 employees
Funding
Current Stage
Late StageLeadership Team
Nicole Sahin
CEO & Founder
Simone Nardi
Chief Financial Officer
Company data provided by crunchbase
