Engineering

We Create Impact

Here at VideoAmp, we don’t build flashy technology for the sake of marketing. We don’t have massive datasets to show off. And we don’t invest in quality engineering because we want to avoid bugs. At our core, we do everything to drive customer value and real-world outcomes.

The Engineering Team is dedicated to five cultural tenets that permeate our organization.

  • CT 01

    No Bullshit

    Transparency is key. We use OfficeVibe, retros, regular 1:1s and peer feedback loops to get to the root of issues.

  • CT 02

    Maximize Value

    Every project we take on is designed to create impact for customers.

  • CT 03

    People First

    We care deeply about career progression, adaptive learning environments, freedom to experiment and space to innovate.

  • CT 04

    Challenge Paradigms

    There is no such thing as the “right way”! We believe in challenging all assumptions until we arrive at an approach that yields the most effective results.

  • CT 05

    Be Premium

    We are obsessed with great customer experiences! The only way to get there is via constant iteration and best-in-class automation.

 

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OUR STATS

VideoAmp may not be the biggest kid on the block, but we are becoming the fastest because we are tenacious, sharp, focused and dedicated to the pursuit of excellence.

  • 3.5B

    lifetime impressions

  • 80,000

    unique websites per hour

  • 300T

    ad opportunities analyzed

  • 160,000

    targetable user dimensions

  • 2B

    rows of data per table

  • >2PB

    of advertising data in our warehouse

OUR ENGINEERING TEAMS

Want to learn more about our teams?

Read more.

TECH STACKS

Hybrid-cloud approach with data center presence, depending on the platform use case:

For our linear demand platform:

For our digital demand platform:

For our linear supply platform:

We work on high-volume, low-latency digital demand systems.

>300K

QPS across our digital programmatic systems (up to 1M)

<50MS

latency across most requests

We work with truly large TV viewership datasets.

>100M

sessions per day

>4B

user graph