Associate, AI Product Manager | Consumer… at Red Ventures · Charlotte

Summary: Red Ventures is a global portfolio of high-growth companies, and they are seeking an Associate AI Product Manager to join their Home Client Services division. This role involves leveraging AI and ML to enhance customer acquisition and retention while optimizing data science solutions to deliver value to partners and customers. Responsibilities: - Identify opportunities: Responsible for identifying opportunities to increase the impact of your product through deep understanding of the problem space, thorough comprehension of the product strategy and technology, and advanced statistical analysis. Effectively communicating recommendations to your product leads to create buy-in and action - Translate insights into execution: Translate your recommendations into clear work streams and features that contribute to the product roadmap. Collaborate with Data Science, Design, and Engineering teams to turn objectives into detailed requirements with assistance from your product lead - Execute technical workstreams: Leverage algorithms and programming tools to execute relevant technical workstreams. This includes building items such as: + Data pipelines to gather, manipulate, prepare, and visualize large datasets + Machine learning models for offline and proof-of-concept use cases + LLM workflows to automate tasks or for reasoning capabilities for specific features in your product - End to end ownership of experiments: Assist in deploying features aimed at improving core KPIs. Conduct analyses to assess the impact of the experiments, synthesizing and owning the narrative - Stay ahead of the curve: Research advancements in machine learning and generative AI to identify innovative ways to solve business challenges Required Qualifications: - 1+ years of hands-on data science / advanced analytics experience or product management on an AI/ML consumer-facing application - Strong analytical and critical thinking skills - Strong grit and learning mentality when faced with challenging projects, unfamiliar technology, and ambiguous business problems - An entrepreneurial mindset and a strong business acumen with an interest in solving business and customer problems to create impact - Strong technical and data foundation that enables effective communication with data scientists, understanding relevant algorithms, and explaining technical concepts to non-technical stakeholders - Experience working on a product—whether as a product manager, product analyst, or data scientist - Demonstrated ability to root cause problems through a data-driven approach, synthesizing takeaways and effectively communicating recommendations to relevant audiences - Hands-on application of machine learning and/or generative AI to a relevant problem through statistical programming languages or large language models (e.g., Python, R, GPT5, Claude) - Thorough knowledge in statistics and machine learning techniques - Demonstrated ability to collect, mine, and manipulate large data from disparate data sources, with an ability to dig deep and understand the process (e.g., SQL, Pandas, Tableau) Required Skills: Machine Learning, Data Science, Statistical Analysis Important Skills: Python, SQL Nice-to-Have Skills: Analytical Thinking, Resilient Learner, Creative Problem Solving, Technical Communication Benefits: Health Insurance Coverage (medical, dental, and vision), Life Insurance, Short and Long-Term Disability Insurance, Flexible Spending Accounts, Holiday Pay, 401(k) with match, Employee Assistance Program, Paid Parental Bonding Benefit Program, Flexible Paid Time Off (PTO): We believe time to rest and recharge is essential. That’s why we offer a generous and flexible PTO policy. Full-time employees accrue 20 days of PTO for a full calendar year annually, with an increase to 25 days after five years of service.