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

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

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Translate business problems into ML product requirements and measurable success metrics

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

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

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

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

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

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Communicate product strategy and progress to stakeholders and executive leadership

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

Required Qualifications

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

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

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

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

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Experience defining success metrics and using data to drive product decisions

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Excellent communication, stakeholder management, and prioritization skills

Preferred Qualifications

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Experience launching ML products into production at scale

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Familiarity with MLOps practices and model lifecycle management

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

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

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Knowledge of regulatory, ethical, and responsible AI considerations

Core Competencies

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Strategic thinking with strong execution focus

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Data-driven decision making

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Customer-centric mindset

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Ability to manage ambiguity and complex problem spaces

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Strong cross-functional leadership

Why Join Us

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Build innovative products powered by cutting-edge machine learning

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Work closely with talented data science and engineering teams

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High ownership and visibility across the organization

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Competitive compensation, benefits, and growth opportunities