Drive the transformation from legacy systems to unified, modern moderation platform
Own the product vision for how Bazaarvoice processes billions of content operations
Define what "enterprise-grade moderation" means and how we deliver it at scale
Set investment priorities across stability, automation, and innovation
Expand ML capabilities to comprehensive automation across all content types (text, images, video)Partner with Data Science to evolve models that detect AI-generated content, review bombing, and emerging fraud patterns
Create AI-powered feedback loops to coach consumers toward displayable content
Advanced content quality scoring and author reputation systems
Build Portal capabilities that empower clients to manage moderation without support tickets
Enable real-time actions
Provide AI-generated explanations for moderation decisions to reduce support burden
Create escalation workflows that streamline client issue resolution
Own publishing pipeline performance, stability, and throughput optimization
Partner with Content Operations to optimize human moderation workflows
Evaluate "human-in-the-loop" strategies that supply ML model feedbackDefine optional premium moderation services for clients requiring additional oversight
Requirements
4-7 years product management experience, ideally with at least 3 years in B2B SaaS, enterprise software, or platform products
Demonstrated ability to own complex, multi-stakeholder product domains from vision through execution
Experience driving product strategy for operational systems (moderation, fraud, compliance, content processing, trust & safety)
Track record of transforming legacy systems or technical debt into modern, scalable platforms
Experience working independently with minimal oversight. You set direction and drive outcomes
Comfort with technical concepts: APIs, database performance, publishing pipelines, batch vs. real-time processing
Ability to collaborate effectively with engineers on technical architecture, trade-offs, and build vs. buy decisions
Experience defining success metrics and instrumenting products for data-driven decision-making