Programmatic Inventory Support Manager

AI overview

Provide technical support for expanding inventory tools, collaborating with internal teams and publishers to optimize performance and ensure global inventory quality.

With 1,500+ specialists, in 80+ markets, and 3,000+ clients across various regions, we have set new market standards when it comes to truly personalized marketing. With the power of Deep Learning technology, we have successfully developed solutions that help our clients fuel their business and marketing goals, boost their innovation, and elevate the customer experience.

As a Programmatic Inventory Support Manager, you will provide technical support for expanding inventory tools, collaborating with internal teams, and publishers to resolve queries and optimize performance. You will be responsible for offering technical insights, supporting publisher integrations, and ensuring global inventory quality and accessibility. 

What you will do:

  • Support and maintain internal reports according to Inventory Programmatic Media Partner’s or Supple Side Platform’s needs;
  • Build reports fit for local requests and analytic needs, using our Google Big Query databases;
  • Provide technical insights/debugging for our current publisher integrations;
  • Support the automation of monitoring of quality and access to publishers' inventories globally;
  • Solve requests received through our ticketing system;
  • Provide deep dives, and analysis in case of discrepancies or issues in inventory-related subjects;
  • Set up, run and optimise pilot/test campaigns for inventory teams needs.

Desired Skills and Experience:

  • Experience in the ad-tech industry, such as in roles like Traffic Specialist, Technical Account Manager, or AdOps Specialist;
  • Experience with G Suite, Google 360, Google Ads, Google Authorised Buyers, etc.;
  • Have basic knowledge about Prebid JS integrations and ad servers (mainly Google Ad Manager) debugging;
  • Any basic knowledge in web development stacks: preferably MEVN or MERN; 
  • At least basic frontend/web technologies knowledge - HTML, CSS, JS;
  • Advanced knowledge in SQL or NoSQL; Experience with ETL/ELT;
  • Experience with Browser Dev Tools (ie. Chrome DevTools);
  • Experience with creating reports and dashboards - preferably Looker Studio; Including tools for working with Python code for data science and ML, like Jupyter Notebook or Google Colab;
  • Proficiency in English;
  • Great communication skills.

What we offer:

  • Unique opportunity to join an award-winning, fast-growing tech company in online advertising;
  • Ability to work in a truly international environment and win the market with the best people;
  • Great environment for growth and professional development;
  • Being part of the company which is pointed as the Innovation Leader on the market.

 

Apply now!

You don't need to tick every box to apply. If you are passionate about digital marketing, send us your CV, and we'll review it.

RTB House is a global company that provides state-of-the-art marketing technologies for top brands and agencies worldwide. Its proprietary ad buying engine is the first in the world to be powered entirely by Deep Learning algorithms, enabling advertisers to generate outstanding results and reach their goals at every stage of the funnel. Founded in 2012, the RTB House team comprises 1000+ specialists in over 30 locations around the globe. It serves more than 3,000 campaigns for clients across the EMEA, APAC, and Americas regions. After successfully deploying Deep Learning into 100 percent of its algorithms in 2018, RTB House has continued its research in the field of AI. The AI Marketing Lab and Creative Lab were set up as new divisions of the company focused on inventing and advancing MarTech products. The company’s AI-based product offering includes retargeting solutions and branding campaigns with ultra-effective Video Ads.

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