Product Manager (Machine Learning)Company: Carter Support ServicesLocation: Atlanta, Georgia Position SummaryWe 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.Key ResponsibilitiesDefine product vision, strategy, and roadmap for machine learning–based productsTranslate business problems into ML product requirements and measurable success metricsPartner closely with data science and engineering teams to guide model development, training, evaluation, and deploymentOwn product discovery, including user research, hypothesis testing, and experimentationDefine and prioritize features using data, experimentation results, and business impactEstablish KPIs for ML products, including model performance, business outcomes, and user adoptionManage product lifecycle from concept through launch, iteration, and scaleCommunicate product strategy and progress to stakeholders and executive leadershipEnsure responsible AI practices, including fairness, transparency, and compliance considerationsRequired Qualifications4+ years of product management experience, with at least 2 years working on machine learning or data-driven productsStrong understanding of machine learning concepts (e.g., supervised vs. unsupervised learning, model evaluation, training pipelines)Experience working with data scientists, ML engineers, and software engineersAbility to translate technical concepts into clear product requirements and user valueExperience defining success metrics and using data to drive product decisionsExcellent communication, stakeholder management, and prioritization skillsPreferred QualificationsExperience launching ML products into production at scaleFamiliarity with MLOps practices and model lifecycle managementExperience with cloud-based ML platforms (AWS, GCP, Azure)Background in AI-driven products such as recommendations, forecasting, NLP, or computer visionKnowledge of regulatory, ethical, and responsible AI considerationsCore CompetenciesStrategic thinking with strong execution focusData-driven decision makingCustomer-centric mindsetAbility to manage ambiguity and complex problem spacesStrong cross-functional leadershipWhy Join UsBuild innovative products powered by cutting-edge machine learningWork closely with talented data science and engineering teamsHigh ownership and visibility across the organizationCompetitive compensation, benefits, and growth opportunities