AI Strategy & Enablement, Group Product Manager

Bazaarvoice•Austin, TX

About The Position

At Bazaarvoice, we create smart shopping experiences. Through our expansive global network, product-passionate community & enterprise technology, we connect thousands of brands and retailers with billions of consumers. Our solutions enable brands to connect with consumers and collect valuable user-generated content, at an unprecedented scale. This content achieves global reach by leveraging our extensive and ever-expanding retail, social & search syndication network. And we make it easy for brands & retailers to gain valuable business insights from real-time consumer feedback with intuitive tools and dashboards. The result is smarter shopping: loyal customers, increased sales, and improved products. The problem we are trying to solve : Brands and retailers struggle to make real connections with consumers. It's a challenge to deliver trustworthy and inspiring content in the moments that matter most during the discovery and purchase cycle. The result? Time and money spent on content that doesn't attract new consumers, convert them, or earn their long-term loyalty. Our brand promise : closing the gap between brands and consumers. Founded in 2005, Bazaarvoice is headquartered in Austin, Texas with offices in North America, Europe, Asia and Australia. Itâs official: Bazaarvoice is a Great Place to Work in the US , Australia, India, Lithuania, France, Germany and the UK! Bazaarvoice is seeking an AI Group Product Manager to lead our AI infrastructure and enablement strategy. This role will own the AI capabilities across our Ratings & Reviews platform, ensuring we're positioned at the forefront of AI-driven shopping and discovery. As AI transforms how consumers discover and evaluate products, this role will be critical in expanding how Bazaarvoice's trusted user-generated content (UGC) becomes discoverable and actionable through AI platforms like OpenAI, Anthropic, Google, and other large language models

Requirements

6+ years product management experience, with ideally 2+ years focused on AI/ML products
Deep understanding of LLMs, AI platforms, and emerging AI technologies
Experience building products that integrate with external platforms (APIs, feeds, integrations)
Proven ability to define and execute on product strategy
Strong technical fluency to partner effectively with engineering on complex data and ML challenges
Track record of building strategic products and partnerships, particularly in the tech/AI space
Excellent stakeholder management across engineering, sales, partnerships, marketing
Strategic thinker who can balance long-term vision with near-term execution
Experience with e-commerce, content platforms, or UGC products
Background in SEO and understanding of discovery optimization
Experience in B2B SaaS or marketplace businesses

Responsibilities

Expand and optimize strategy for how Bazaarvoice data reaches LLM partners (Google, OpenAI, Anthropic, etc.)
Scale the collection, processing, and structuring of data optimized for AI consumption
Evolve what data is available for AI optimization, including feeds and APIs for LLM partners
Drive strategic decisions on which AI platforms and partners we integrate with and how we differentiate
Advance the product capabilities that enable clients' UGC to be discoverable and optimized for AI platforms
Evolve what we measure for GEO visibility and performance, staying ahead of market needs
Expand data foundations for GEO performance insights and client value demonstration
Lead strategy for ensuring UGC data is optimally structured and detectable by AI systems
Maintain deep knowledge of AI platform developments (OpenAI, Google, Anthropic, etc.), identifying opportunities for Bazaarvoice
Shape how Bazaarvoice leads in AI-driven discovery and commerce
Drive product strategy in partnership discussions with AI platforms and measurement vendors
Advance our strategy for how UGC powers next-generation AI-driven product discovery and shopping experiences
Partner with product teams to enable AI features
Establish best practices and guidelines for teams building AI features
Work closely with Engineering, Sales, Partnerships, and Marketing teams on AI strategy and client discovery