Claire works at Samasource, a San Francisco-based social enterprise that connects people living in poverty with internet-based work through a proprietary platform. At Samasource, her hats have included leading product, strategy and field expansion, but these days she helps clients connect with Samasource data and content solutions as the head of Sales and Marketing. Her prior gigs have included LiveOps, social enterprise in rural Vietnam, and management consulting with Katzenbach Partners, where she led client teams at large technology companies and helped several non-profits with large-scale operational growth.
Claire holds a BA from Columbia, an MA from the University of London, and an MBA from Stanford.
In her spare time, she knits, plays with Drupal, and sets small fires in her kitchen.
Daniel Tunkelang is a data science and engineering executive who has built and led some of the strongest teams in the software industry.
He studied computer science and math at MIT and has a PhD in computer science from CMU. He was a founding employee and chief scientist of Endeca, a search pioneer that Oracle acquired for $1.1B. He led a local search team at Google. He was a director of data science and engineering at LinkedIn, and he established their query understanding team. Most recently, he was CTO of Lyra Health.
Daniel is a widely recognized writer and speaker. He is frequently invited to speak at academic and industry conferences, particularly in the areas of information retrieval, web science, and data science. He has written the definitive textbook on faceted search (now a standard for ecommerce sites), established an annual symposium on human-computer interaction and information retrieval, and authored 24 US patents. His social media posts have attracted over a million page views.
Daniel also advises and consults for companies that can benefit strategically from his expertise. His clients range from early-stage startups to “unicorn” technology companies like Etsy and Flipkart. He helps companies make decisions around algorithms, technology, product strategy, hiring, and organizational structure.
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