Product Manager (Specialized in Machine Learning)

## Product Manager (Machine Learning) **Company:** Carter Support Services **Location:** Houston ### Position Summary 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. * * * ### Key Responsibilities - 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 * * * ### Required Qualifications - 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 * * * ### Preferred Qualifications - 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 * * * ### Core Competencies - 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 * * * ### Why Join Us - 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