Senior AI Product Manager at Multiple Locations for Onsite

Overview

On Site
Accepts corp to corp applications
Contract - W2
Contract - Independent
Contract - To 10/14/2026

Skills

IT Consulting
Real-time
SAP BASIS
TPM
Total Productive Maintenance
FOCUS
Web Performance Optimization
Roadmaps
Predictive Analytics
Collaboration
User Experience
UPS
Brand
Leadership
Product Management
Machine Learning (ML)
Supervised Learning
Natural Language Processing
Evaluation
Data Science
Presentations
Customer Experience
Optimization
Business-to-business
A/B Testing
Multivariate Testing
Artificial Intelligence
Agile
Scrum
Product Development

Job Details

Stellar Consulting Solutions is a boutique business & technology consulting company headquartered in Atlanta, GA. We deliver high quality, agile, and experienced workforce for niche technology projects of any scale. We help forward thinking clients to solve specific problems by understanding their needs and align talent that can move fluidly
to match skill supply and demand on a real-time basis.

Stellar Consulting has a unique combination of technical and digital skills to recruit, engage, and retain qualified talent. We have a stellar reputation for striving to achieve high ethical standards. Our use of Innovative techniques and industry best practices has made us one of the fastest growing boutique firms delivering to enterprise business.

Job Title: Senior AI Product Manager

Location: Dallas, TX; Alpharetta, Atlanta, GA; Parsippany, NJ; Timonium, MD

(All 5 Days onsite)

Position Overview: We are seeking a highly skilled and driven Technical Product Manager (TPM) with a strong focus on Artificial Intelligence (AI) to lead the development and execution of AI-powered products that enhance personalization, web optimization, and customer experience across our omnichannel ecosystem. This individual will play a key role in shaping and delivering our AI strategy, working closely with data science, engineering, UX, and business teams to build innovative, customer-centric solutions that support UPS's digital transformation and growth objectives. This role requires someone who can bridge the gap between complex AI technologies and business value, with exceptional presentation skills to effectively communicate ideas, influence stakeholders, and represent product vision to both technical and non-technical audiences.

Key Responsibilities:

  • Own the product vision, roadmap, and execution for AI-driven initiatives, including personalization, predictive analytics, and content optimization
  • Collaborate cross-functionally with data scientists, engineers, UX designers, and business stakeholders to define requirements and deliver impactful AI features
  • Translate AI concepts (ML models, NLP, recommendation systems) into clear product strategies and user-facing capabilities
  • Evaluate emerging AI technologies and identify opportunities to integrate them into digital customer journeys
  • Define and track success metrics tied to NPS, conversion rates, engagement, and revenue
  • Ensure AI implementations align with ethical standards, explainability requirements, and UPS's brand values
  • Lead product presentations to senior leadership, executive stakeholders, and cross-functional teams to communicate progress, vision, and value
  • Act as a thought leader and internal advocate for the responsible and effective use of AI across the organization

Required Qualifications:

  • 5+ years of experience in technical product management, with at least 2 years focused on AI/ML-powered products
  • Strong understanding of AI/ML concepts such as supervised learning, NLP, recommendation engines, and model evaluation
  • Proven ability to work closely with data science and engineering teams in a highly technical environment
  • Exceptional presentation and storytelling skills, with the ability to influence and align diverse stakeholders
  • Experience with customer experience optimization, web personalization, or digital platforms

Preferred Qualifications:

  • Experience in enterprise or B2B2C environments
  • Familiarity with experimentation platforms (e.g., A/B testing, multivariate testing)
  • Knowledge of AI ethics, bias mitigation, and regulatory considerations
  • Agile/Scrum product development experience
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