At least 4 years of product management experience, including at least 2 years working on machine learning or data-driven products.
Strong understanding of machine learning concepts, including supervised and unsupervised learning, model evaluation, and training pipelines.
Experience working with data scientists, machine learning 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.
Responsibilities
Define product vision, strategy, and roadmap for machine learning-based products.
Translate business problems into machine learning 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 key performance indicators for machine learning products, including model performance, business outcomes, and user adoption.
Manage the product lifecycle from concept through launch, iteration, and scale.
Communicate product strategy and progress to stakeholders and executive leadership.
Ensure responsible artificial intelligence practices, including fairness, transparency, and compliance considerations.
Desired Qualifications
Experience launching machine learning products into production at scale.
Familiarity with MLOps practices and model lifecycle management.
Experience with cloud-based machine learning platforms, including Amazon Web Services, Google Cloud Platform, or Microsoft Azure.
Background in artificial intelligence-driven products such as recommendations, forecasting, natural language processing, or computer vision.
Knowledge of regulatory, ethical, and responsible artificial intelligence considerations.
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