The role of a product manager in software engineering is often a little murky – defined more by influence without Authority than rigid roles and responsibilities. A PM’s success is often measured by their ability to successfully guide software engineering development towards user benefit and business outcomes. In this era of AI, where software products can increasingly be prototyped, built, and even launched with much less code written, the rule of the Product Manager is even more important.
Please join Eve Andersson as she hosts Christine Robson, a product leader who spent nearly a decade building and leading Google’s first Machine Learning Product Management team and worked to redefine Product Management at Google.
Christine Robson leads product for AI Data at Google, responsible for enabling AI developers and researchers across the company to develop innovative, impactful, safe and compliant AI offerings using the highest-quality data. Prior to taking on this cross-Google AI Data challenge, Christine founded and led the product team for Search Quality, responsible for Ranking & Metrics, Data Science & Engineering, Search AI Platforms and Language efforts. Christine’s Google journey started in Google Research in 2012 when she joined as Google’s first PM for Machine Learning, an exciting role that involved building the first ML PM team at Google and helping build and lead dozens of efforts across Brain, Responsible AI, TensorFlow, and Cloud AI. Christine’s also been deeply involved in shaping the role of product at Google, as a co-author of the role profiles and a long-time sponsor of PM mentorship and inclusion programs.
