Michael Lam work email
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Michael Lam personal email
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Always learning, always solving, always asking why
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Staff Software EngineerPinterest Jun 2023 - PresentSan Francisco, California, UsTechnical Lead for Advertiser Automation team in Pinterest Monetization Engineering. Building full stack products for Advertisers focusing on efficiency, adoption, and retention of Advertiser and Pinterest value. Working on the greater Business Interfaces Org to improve developer velocity through a variety of internally developed tools and frameworks for maximum engineering productivity. -
Technical LeadPinterest Oct 2022 - PresentSan Francisco, California, UsTech lead for the Advertiser Automation team under Pinterest Monetization Engineering. Building products for advertisers that deliver automation and efficiency. -
Senior Software EngineerPinterest Oct 2017 - PresentSan Francisco, California, UsMonetization (Advertiser Experience) fullstack engineer, working on Advertiser Automation products. -
Full Stack EngineerPiazza Technologies Inc. May 2014 - Oct 2017Palo Alto, California, UsI worked with a small team of engineers, product team, and CEO to build out product features at all levels, from API design, back end, and front end implementations.
Michael Lam Skills
Michael Lam Education Details
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Yale UniversityEconomics
Frequently Asked Questions about Michael Lam
What company does Michael Lam work for?
Michael Lam works for Pinterest
What is Michael Lam's role at the current company?
Michael Lam's current role is Staff Software Engineer at Pinterest.
What is Michael Lam's email address?
Michael Lam's email address is mi****@****ail.com
What schools did Michael Lam attend?
Michael Lam attended Yale University.
What are some of Michael Lam's interests?
Michael Lam has interest in Parks And Outdoor Recreation, Writing, Creative, Languages, Archaeology, Computer Science, Health, Economics, Biking, Hiking.
What skills is Michael Lam known for?
Michael Lam has skills like Software Development, Creative Writing, Russian, Java, Ruby On Rails, Elasticsearch, Amazon S3, Data Analysis, Mongodb, Angularjs, Python, Pandas.
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