Carters, Inc

Product Manager (Specialized in Machine Learning)

Carters, Inc$110K — $130K *
Consumer Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 4+ years of product management experience, with 2+ years on machine learning or data-driven products
  • Strong understanding of machine learning concepts
  • Experience collaborating with data scientists and engineers
  • Ability to translate technical concepts into product requirements
  • Experience defining success metrics
  • Excellent communication and stakeholder management skills

Responsibilities

  • Define product vision, strategy, and roadmap for ML products
  • Translate business problems into ML product requirements
  • Partner with data science and engineering teams to guide model development
  • Own product discovery through user research and experimentation
  • Define and prioritize features based on data and business impact
  • Establish KPIs for ML products and model performance
  • Manage the full product lifecycle from concept to launch

Benefits

  • Build innovative products powered by cutting-edge machine learning
  • Collaborate with talented data science and engineering teams
  • Enjoy high ownership and visibility across the organization
  • Receive competitive compensation and benefits
  • Access growth opportunities within the company
Full 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

About Carters, Inc

Carter's, Inc. operates as a children's apparel and accessories company in the United States and internationally. The company operates through three segments: U.S. Retail, U.S. Wholesale, and International. Its Carter's brand products include baby products, such as bodysuits, pants, dresses, knit sets, blankets, layette essentials, bibs, booties, sleep and play products, rompers, and jumpers; play clothes comprising knit and woven cotton apparel; sleepwear products consisting of pajamas in cotton, fleece, and ploy-jersey; and other products, including bedding, outerwear, swimwear, footwear, socks, diaper bags, gift sets, toys, and hair accessories. The company also provides products under the OshKosh brand name, which comprise play clothes in denim, fleece, and other fabrics for sizes newborn to 14. It sells its products through company-operated stores, department stores, and online, as well as through other retail outlets, such as specialty stores, national chains, and mass merchants. As of January 2, 2021, the company operated approximately 800 Carter's retail stores, 100 OshKosh retail stores, and its products were available in approximately 18,000 department stores and other retail outlets in the United States, Canada, and internationally. Carter's, Inc. was founded in 1865 and is headquartered in Atlanta, Georgia.
Learn more about Carters, Inc
Size
15,900 employees
Market Cap
$2.8 billion
Industry
Net Income
$109.7 million
Founded
1865
5 Year Trend
+1.7%
Revenue
$3 billion
NASDAQ

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