Peter Birsinger

CEO & Founder at Podscribe
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Location
Austin
Languages
  • Spanish -

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Experience

    • United States
    • Advertising Services
    • 1 - 100 Employee
    • CEO & Founder
      • Mar 2019 - Present

      Podscribe is the leader in automated Quality Assurance for podcast (and YouTube) ads. With a blend of AI + human review, we verify over a dozen elements to make sure your podcast ads run perfectly. Such factors include: - correct promo / URL - competitive separation - correct length - correct spot (eg mid vs pre-roll) - not stacked behind 4 other ads - brand safe We also use our blend of AI + human review to provide the industry's first & only at-scale… Show more Podscribe is the leader in automated Quality Assurance for podcast (and YouTube) ads. With a blend of AI + human review, we verify over a dozen elements to make sure your podcast ads run perfectly. Such factors include: - correct promo / URL - competitive separation - correct length - correct spot (eg mid vs pre-roll) - not stacked behind 4 other ads - brand safe We also use our blend of AI + human review to provide the industry's first & only at-scale human-reviewed brand safety scores (based on IAB/GARM standards). These trusted scores give advertisers confidence with their buys, especially on smaller less known podcasts. See how we can improve your podcast / YouTube ROI today, 5x your internal team's efficiency, and ease your brand safety worries! We're also hiring in all roles. Show less Podscribe is the leader in automated Quality Assurance for podcast (and YouTube) ads. With a blend of AI + human review, we verify over a dozen elements to make sure your podcast ads run perfectly. Such factors include: - correct promo / URL - competitive separation - correct length - correct spot (eg mid vs pre-roll) - not stacked behind 4 other ads - brand safe We also use our blend of AI + human review to provide the industry's first & only at-scale… Show more Podscribe is the leader in automated Quality Assurance for podcast (and YouTube) ads. With a blend of AI + human review, we verify over a dozen elements to make sure your podcast ads run perfectly. Such factors include: - correct promo / URL - competitive separation - correct length - correct spot (eg mid vs pre-roll) - not stacked behind 4 other ads - brand safe We also use our blend of AI + human review to provide the industry's first & only at-scale human-reviewed brand safety scores (based on IAB/GARM standards). These trusted scores give advertisers confidence with their buys, especially on smaller less known podcasts. See how we can improve your podcast / YouTube ROI today, 5x your internal team's efficiency, and ease your brand safety worries! We're also hiring in all roles. Show less

    • United States
    • Broadcast Media Production and Distribution
    • CTO & Co-Founder
      • Aug 2016 - May 2019

      Created and built Podible, a multi-platform podcast listening app, from the ground up into a company with 10 employees and 40k users, securing close to $1M in funding. Guided product development & design, hired a team of 3 engineers, and coded much of the app & backend. Podible is a multi-platform podcast app that learns what you love and suggests new podcasts based off of your preferences. The recommendation engine uses the latest in natural language processing and… Show more Created and built Podible, a multi-platform podcast listening app, from the ground up into a company with 10 employees and 40k users, securing close to $1M in funding. Guided product development & design, hired a team of 3 engineers, and coded much of the app & backend. Podible is a multi-platform podcast app that learns what you love and suggests new podcasts based off of your preferences. The recommendation engine uses the latest in natural language processing and AI. Podible has been featured in TechCrunch and MartechDaily for its innovative recommendation engine. Show less Created and built Podible, a multi-platform podcast listening app, from the ground up into a company with 10 employees and 40k users, securing close to $1M in funding. Guided product development & design, hired a team of 3 engineers, and coded much of the app & backend. Podible is a multi-platform podcast app that learns what you love and suggests new podcasts based off of your preferences. The recommendation engine uses the latest in natural language processing and… Show more Created and built Podible, a multi-platform podcast listening app, from the ground up into a company with 10 employees and 40k users, securing close to $1M in funding. Guided product development & design, hired a team of 3 engineers, and coded much of the app & backend. Podible is a multi-platform podcast app that learns what you love and suggests new podcasts based off of your preferences. The recommendation engine uses the latest in natural language processing and AI. Podible has been featured in TechCrunch and MartechDaily for its innovative recommendation engine. Show less

    • United States
    • Advertising Services
    • 1 - 100 Employee
    • Senior Solutions Engineer
      • Apr 2017 - Sep 2017

    • Solutions Engineer
      • Apr 2016 - Apr 2017

      I serve as the technical point of contact for potential clients during the pre-sales process, explaining to them the technical points of Tapad's products and helping to architect a custom integration solution.

    • Software Engineer
      • Aug 2015 - Apr 2016

      As our recently created R&D team's sole member, I worked directly with our SVP of Product to devise new areas where Tapad could innovate, and then coded out the foundations (or prototypes) of these new projects.

    • United States
    • Apparel & Fashion
    • Software Engineer
      • Sep 2013 - Jun 2015

      As a full stack engineer and mentor for 2 employees, I added features to and maintained a complex, legacy Rails web app split across over one hundred servers. Most recently, I spearheaded a project to replace our support team’s SSH usage with alternative admin only web tools. I also developed and maintained Scala code to fetch, process, and analyze data from hundreds of thousands of live customer network devices. As a full stack engineer and mentor for 2 employees, I added features to and maintained a complex, legacy Rails web app split across over one hundred servers. Most recently, I spearheaded a project to replace our support team’s SSH usage with alternative admin only web tools. I also developed and maintained Scala code to fetch, process, and analyze data from hundreds of thousands of live customer network devices.

    • Undergraduate Researcher
      • Aug 2011 - Aug 2013

      Advised by Professor Armando Fox with the SEJITS (Selective Embedded Just In Time Specialization) project. Recently employed SEJITS technology to run a bootstrapping statistical estimator function (Bag of Little Bootstraps) in the Spark Cloud Computing Cluster to evaluate a classifier’s results on a subset of the Enron email corpus. This involved lowering high level Python estimator functions to efficient Scala code deployable to Spark. Advised by Professor Armando Fox with the SEJITS (Selective Embedded Just In Time Specialization) project. Recently employed SEJITS technology to run a bootstrapping statistical estimator function (Bag of Little Bootstraps) in the Spark Cloud Computing Cluster to evaluate a classifier’s results on a subset of the Enron email corpus. This involved lowering high level Python estimator functions to efficient Scala code deployable to Spark.

    • United States
    • Environmental Services
    • 1 - 100 Employee
    • Website Developer
      • Sep 2012 - Dec 2012

      Utilized Agile software develoment along with BDD and TDD techniques to build a SaaS website with Ruby on Rails for a semester-long project in a software engineering class Utilized Agile software develoment along with BDD and TDD techniques to build a SaaS website with Ruby on Rails for a semester-long project in a software engineering class

    • United States
    • Advertising Services
    • Web Developer Intern
      • May 2011 - Aug 2011

      Using Ruby on Rails, helped to design the administrator and merchant interface pages along with other miscellaneous website development tasks. Using Ruby on Rails, helped to design the administrator and merchant interface pages along with other miscellaneous website development tasks.

Education

  • University of California, Berkeley
    BS & BA, Electrical Engineering and Computer Science & Applied Mathematics
    2009 - 2013
  • St. Ignatius College Preparatory
    High School Diploma
    2005 - 2009

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