Kamara Benjamin
About
Kamara works in the following industries: "Computer Software", "Internet", "Higher Education", and "Information Technology & Services". Kamara is currently Group Product Manager - Performance Advertising at Twitter. In Kamara's previous role as a Product Manager - Ads Machine Learning at Snap Inc., Kamara worked in until Jun 2020. Prior to joining Snap Inc., Kamara was a Senior PM - Search and AI at Microsoft and held the position of Senior PM - Search and AI. Prior to that, Kamara was a Senior PM - Surface Headphones at Microsoft, based in Redmond, WA from Jan 2017 to Jun 2018. Kamara started working as Senior Software Engineer - Microsoft Translator Apps at Microsoft in Bellevue, WA in Aug 2014. From Aug 2013 to Aug 2014, Kamara was Software Engineer II - Emerging Devices at Microsoft. Prior to that, Kamara was a Adjunct Professor at Bellevue College, based in Bellevue, WA from Apr 2014 to Jun 2014. Kamara started working as Software Engineer - Bing Local Search at Microsoft in Oct 2010.
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Kamara Benjamin's current jobs
Leading a team of Product Managers focused on creating products that drive measurable business impact for advertisers by introducing people to products and services they’ll love. We're combining machine learning, new ads experiences, and improved measurement to help businesses grow.
Kamara Benjamin's past jobs
Worked with teams of machine learning experts, engineers, data scientists, product marketing managers, and privacy experts to identify, build and improve our ad offerings while continuing to respect our users. Applied machine learning to user / content understanding and relevance / recommendation problems to introduce consumers to brands and products that truly match their contextual interests, and help advertisers connect with the right customers in order to meet their business objectives. Launched or contributed to new products across performance ads (min ROAS, app re-engagement, dynamic product ads) and brand (15s video views) which achieved over $XM/yr run rate.
Used deep learning to build our natural language driven search (QnA) product which makes knowledge from across the web accessible through direct answers to questions from Bing and Cortana users Used machine learning to build Bing's news/web content recommendations product for iOS and Android
Led software/experiences for two v1 Cortana enabled products in the Surface group, Surface Headphones and Surface Earbuds Partnered with teams across Cortana, Skype, Teams, and Windows to enable key natural language scenarios Worked closely with design, research, and Android, iOS, FW engineering teams to define and execute on software road map Worked with marketing, packaging, customer care, etc. to realize e2e product
Led development of the v1 Microsoft Translator app for Android and Android Wear. Achieved 4.5+/5 rating, grew to tens of millions of downloads, and received multiple awards. Leveraged Microsoft’s machine learning enabled language translation and OCR capabilities to enable text, speech, and image translation scenarios. Served as Android lead, managed 2 members of the team.
Built software experiences (Android, Windows) for an incubation wearable device. Worked with a small team of industrial designers, hardware engineers, software engineers, and researchers.
Taught Object Oriented Programming Concepts course to 20+ students
Developed a pipeline to measure Bing Local Search results across 21 markets using crowed sourced data. Leveraged data to inform areas of product investment.
Worked from requirements gathering through implementation to ship software solutions including a healthcare cost and quality comparison web app for Massachusetts residents (built for the government of Massachusetts)