Digital Product Sr Manager Intelligent Vision
$140,100–$234,850 year
On-sitePlano, Texas, United States
Job Summary
Own the vision, strategy, and multi-year roadmap for PepsiCo's Intelligent Vision products supporting manufacturing, warehousing, quality, safety, and logistics operations. Define scalable computer vision capabilities for global deployment, prioritizing high-value AI use cases in visual inspection, quality monitoring, safety analytics, and asset recognition. Partner with Quality, Manufacturing, Supply Chain, and Engineering teams to deliver enterprise-scale products that integrate with Digital Twins and operational analytics platforms. Balance innovation with reliability, cybersecurity, and operational readiness while driving global adoption through standardized deployment playbooks and reusable AI services.
Required Qualifications
- Bachelor's degree in Computer Science, Artificial Intelligence, Electrical Engineering, Robotics, Data Science, Industrial Engineering, or related field
- 10+ years of experience in Product Management, Artificial Intelligence, Computer Vision, Manufacturing Technology, or Digital Transformation
- Proven experience managing AI-enabled enterprise software products from strategy through deployment
- Experience delivering Computer Vision or Machine Learning solutions within manufacturing, logistics, or industrial environments
- Experience working with Agile software development teams and AI engineering organizations
- Experience balancing innovation with enterprise scalability, governance, and operational deployment
- Strong understanding of Computer Vision, Machine Learning, Deep Learning, and AI model lifecycle management
- Experience with industrial camera systems, edge computing, AI inference platforms, and intelligent automation
- Familiarity with synthetic data generation, MLOps, model governance, and AI deployment at scale
- Understanding of Digital Twin platforms, cloud-native architectures, APIs, and enterprise integration
- Knowledge of manufacturing quality systems, warehouse operations, robotics, automation, and industrial AI applications
- Strong product management and strategic planning capabilities
- Excellent communication skills with the ability to influence senior technology and business leaders
- Proven ability to lead highly technical cross-functional teams
- Strong customer-centric mindset focused on delivering measurable business outcomes
- Demonstrated success driving enterprise AI adoption within global organizations
Desired Qualifications
- Master's degree preferred in Artificial Intelligence, Machine Learning, Computer Vision, Engineering, or Business Administration
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