Product Manager (Specialized in Machine Learning)

Carter Support Services; St. Louis (MO); On-site; USD 110,000 - 140,000; Full time

Benefits offered by this job

Competitive compensation

Growth opportunities

Collaborative work environment

Job summary

Carter Support Services is in search of a Product Manager specializing in machine learning to guide the strategy, development, and lifecycle of innovative ML products. You will translate complex ML capabilities into user-friendly solutions, working closely with interdisciplinary teams to ensure success across business and customer outcomes.

The ideal candidate has over four years of experience in product management and a robust understanding of machine learning concepts. Join us to build cutting-edge ML-powered products and enjoy competitive compensation and growth opportunities.

Qualifications

• 4+ years of product management experience, with at least 2 years on machine learning products.
• Strong understanding of machine learning concepts like supervised vs. unsupervised learning.
• Experience working with data scientists and software engineers.

Responsibilities

• Define product vision and roadmap for ML products.
• Translate business problems into ML product requirements.
• Communicate product strategy to stakeholders and leadership.

Skills

Product management

Machine learning concepts

Data-driven decision making

Cross-functional leadership

Tools

AWS

GCP

Azure

Job description

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