Daniel Galbraith

WORK HISTORY

EDUCATION

ABOUT DANIEL GALBRAITH

I’m an AI/ML Product & Program Lead at Google, working to protect the Google Ads ecosystem from ad fraud and bad actors. Right now, I’m a Product Manager (on rotation) in Ad Traffic Quality. My work in Ads Safety focused on driving efforts to protect users and publishers from harmful content through better classification. Before that I worked on voice assistant research and development, including Siri and Alexa.At Google, I lead the execution of AI/ML programs for ads safety and policy, bridging the gap between product strategy, data science and engineering. I’ve led large-scale, multi-year operational migrations across organizations, pioneered new LLM and human data labeling strategies, and delivered significant business improvements (e.g.+$119M ARR model launch-20% annual opex savings). I specialize in driving ML initiatives end-to-end from conception to launch.I’m excited about emerging tech in the AI/ML space, and applying deep technical expertise to help build useful products, particularly in the areas of digital ads and human language technology. I graduated from Stanford with a PhD in Linguistics (2018), and authored the book Optimal Linking Grammar (Cambridge University Press, 2023).Areas of expertise:** Product & program leadership- Product strategy & vision for AI/ML systems- Technical program management & cross-functional execution- Stakeholder management & communications- Roadmap development & planning** AI/ML expertise- LLM strategy (data generation, labeling and evaluation)- NLP (ASR, TTS, NLU) and Human Language Technology- Machine Learning & Deep Learning (classification models, prototyping)** Data science & analytics- Experimental design, A/B testing- Evaluation metrics, KPIs, hypothesis testing- Statistical analysis, data modeling** Technical proficiencies- Python, R, SQL (for data analysis & research)- Git, Unix