Product Manager (Specialized in Machine Learning)

Company: Carter Support Services
Location: Atlanta, Georgia
 

We are seeking a Product Manager with deep experience in machine learning–driven products to lead the strategy, development, and lifecycle of ML-powered solutions. This role sits at the intersection of business, data science, engineering, and user experience, translating complex machine learning capabilities into scalable, valuable, and user-friendly products.

The ideal candidate understands both product management fundamentals and machine learning concepts, and can effectively guide teams through experimentation, model iteration, and production deployment while keeping a strong focus on customer outcomes and business impact.

• Define product vision, strategy, and roadmap for machine learning–based products

• Translate business problems into ML product requirements and measurable success metrics

• Partner closely with data science and engineering teams to guide model development, training, evaluation, and deployment

• Own product discovery, including user research, hypothesis testing, and experimentation

• Define and prioritize features using data, experimentation results, and business impact

• Establish KPIs for ML products, including model performance, business outcomes, and user adoption

• Manage product lifecycle from concept through launch, iteration, and scale

• Communicate product strategy and progress to stakeholders and executive leadership

• Ensure responsible AI practices, including fairness, transparency, and compliance considerations

• 4 years of product management experience, with at least 2 years working on machine learning or data-driven products

• Strong understanding of machine learning concepts (e.g., supervised vs. unsupervised learning, model evaluation, training pipelines)

• Experience working with data scientists, ML engineers, and software engineers

• Ability to translate technical concepts into clear product requirements and user value

• Experience defining success metrics and using data to drive product decisions

• Excellent communication, stakeholder management, and prioritization skills

• Experience launching ML products into production at scale

• Familiarity with MLOps practices and model lifecycle management

• Experience with cloud-based ML platforms (AWS, GCP, Azure)

• Background in AI-driven products such as recommendations, forecasting, NLP, or computer vision

• Knowledge of regulatory, ethical, and responsible AI considerations

• Strategic thinking with strong execution focus

• Data-driven decision making

• Customer-centric mindset

• Ability to manage ambiguity and complex problem spaces

• Strong cross-functional leadership

• Build innovative products powered by cutting-edge machine learning

• Work closely with talented data science and engineering teams

• High ownership and visibility across the organization

• Competitive compensation, benefits, and growth opportunities