Product Manager

ML Platform

Confirmed live in the last 24 hours



1,001-5,000 employees

Sports betting and daily fantasy sports provider

Data & Analytics


Atlanta, GA, USA

Required Skills
  • 4-8 years of experience as a Product Manager, Product Owner, or Data Scientist delivering impactful data products
  • Experience working with data warehouse and data pipeline technologies, including platforms such as Apache Hadoop, Apache Spark, and AWS Redshift
  • Proficiency with popular machine learning frameworks and tools, such as TensorFlow, PyTorch, or scikit-learn
  • Expertise in using Databricks for scalable data engineering and machine learning workflows
  • Strong proficiency in SQL for querying and manipulating large datasets, combined with advanced programming skills in Python
  • Extensive experience with feature stores for efficient feature management and reuse across machine learning models
  • Demonstrated proficiency in reporting and data visualization tools like Tableau, Power BI, or matplotlib
  • Ability to work autonomously and collaboratively within an agile team environment
  • Exceptional analysis skills and ability to interpret complex datasets
  • Proven experience conducting stakeholder interviews and facilitating workshops
  • Proficient in translating product roadmap features into well-defined product requirements
  • Bachelor's degree in a relevant field, Master's degree is a plus
  • Collaborate with teams to understand data challenges and opportunities
  • Take ownership of data products delivering key insights and driving business decisions
  • Lead elicitation of requirements and prioritize the product backlog
  • Work closely with cross-functional teams to align platform with business objectives
  • Partner with Machine Learning Data Engineering teams to deliver value through data
  • Establish and maintain domain expertise on the product
  • Bring fresh ideas to solve business problems and generate innovative solutions
  • Create and maintain user guides, technical documentation, and best practices for the Machine Learning platform
  • Monitor platform performance, model accuracy, and data quality
  • Drive effective and sustainable change guiding the business through the journey
  • Play a key role in self-organizing agile delivery teams
  • Share industry best practices and foster a culture of knowledge sharing and cross-skilling

FanDuel Group specializes in sports betting, daily fantasy sports, and online casino gaming, seamlessly integrating sports-tech to enhance consumer engagement with sports and leagues. This company is an excellent workplace for those passionate about combining technology with sports, offering a dynamic environment where innovation leads to the development of cutting-edge gaming experiences. With a broad customer base spanning all 50 states, the company's reach ensures a diverse and stimulating work culture.

Company Stage


Total Funding



New York, New York



Growth & Insights

6 month growth


1 year growth


2 year growth



From peer-to-peer learning to industry conferences, there are a number of ways to develop your career

From your head to your toes we’ve got you covered with our 100% health insurance coverage

We keep a well-stocked supply of snacks and refreshments to keep you going throughout the day

Flexible hours and vacation scheduling let you work when you’re at your best

We provide the latest tech and equipment, you get the job done