Employee spotlight:
Oleksandr Chornomaz

Engineering Director Oleksandr Chornomaz, based in Krakow, offers an insight into his professional motivations as well as his life outside of work in the latest of LoopMe’s employee spotlights.


Why did you decide to join LoopMe?
I’ve always wanted to work at a startup, and when I joined back in 2016, the company still had a very dynamic and flexible management style. There were no strictly defined roles – everyone contributed in any way they could, based on their skills and abilities. I really resonated with that approach. I was deeply passionate about my work and grew alongside the company. Back then, we had a small team of developers working together in an open space, where we could freely exchange ideas. Some of the best concepts emerged from those discussions, even from heated but productive debates.

What project or event has been your favourite to work on at LoopMe?
Over nearly nine years at LoopMe, I’ve had the opportunity to work on almost every major engineering project within the company – from our core product at the time, the DSP, to our first SDK integrations, and even in the Data Science team. However, my favourite project has to be the Intelligent Marketplace. It serves as the backbone that connects all our products into a unified ecosystem – essentially the heart of the company, where speed meets innovation.

Can you discuss a skill you’ve acquired or developed while working at LoopMe?
When I joined LoopMe, my background was primarily in networking and server administration. However, my true aspiration was to become a software developer. In a way, I started from scratch, despite having already spent seven years in IT as a Network Engineer and DevOps specialist. At LoopMe, I honed my programming skills and, over time, expanded into management, business strategy, and product development. Learning to look beyond just the technical aspects and build products that drive revenue has been incredibly motivating for me.

Tell us a bit about yourself
I come from a small town near Dnipro called Pidhorodne. Since childhood, I’ve been fascinated by technology – I always wanted to understand how things work. As a kid, I would take apart all my electronic toys, though not all of them made it back to their original state! My interest in IT started back in school. I kept up with the latest tech news, built computers for myself and my friends simply because I enjoyed it. Over time, this curiosity evolved into a passion, ultimately shaping my career into what it is today.

Do you have any hobbies?
Throughout my life, I’ve had a variety of hobbies, from folk dancing to basketball. Sports have always been a big part of my life, and I love trying new activities. In school, I was the captain of my basketball team and even envisioned a future in professional leagues, but IT eventually won me over. More recently, when I lived in Cyprus for a year and a half, I took up rowing – a fascinating and highly disciplined sport. At the moment, I stay active by regularly working out at the gym, keeping in shape for any new sport I might want to try in the future.

If you could live anywhere in the world, where would you choose and why?
I don’t have a specific location in mind, but my ideal place would be somewhere close to mountains, the sea, or the ocean. I value being able to retreat into nature from time to time, to recharge and spend quality moments with loved ones—whether in the forest, the mountains, or on the water. At the same time, I want to live in a place that is technologically advanced, with strong opportunities for growth and surrounded by inspiring people. I’m still searching for my dream city, but I’m confident I’ll find it someday!


Interested in working at LoopMe? Take a look at our open vacancies.

Curation x Generative AI: LoopMe’s new Premium Deals Library addresses PMP challenges

Searching for a PMP deal is often a frustrating experience for a trader. Mainly because they have to keep guessing the relevant keywords and almost all curation platforms are locked behind login requirements. Launching in Februaury 2025, LoopMe’s Premium Deals Library will provide programmatic traders with a streamlined, public platform to apply always-on PMPs to their campaigns in just two clicks.

Powered by LoopMe’s proprietary survey data — collected from nearly one billion surveys delivered globally — and a generative AI-powered search tool, the platform recommends the most relevant and best-performing deals based on any brand, keyword, or KPI.

With a focus on scale, accessibility, and performance, the Premium Deals Library addresses the key challenges that agencies face when accessing curated deal packages. In this post, we’ll explore those challenges, LoopMe’s tailored solution, and the technology driving these solutions.

Finding the right deal, fast

We found that one of the biggest challenges for traders was identifying which deals are most applicable to their advertising campaigns when browsing a library. For example, if I were running a campaign for a sportswear brand, I would need to guess the keywords to surface relevant deals, for example, sports, trainers, and running. However, I might miss seasonal deals (such as the Olympics), or shoppers currently looking for general fitness apparel, and those in-market for close competitors’ products—all of which would be highly relevant for a programmatic campaign for a sportswear brand.

To resolve this, LoopMe has built a specialized search engine powered by our deal library taxonomy data and world-leading generative AI tools. LoopMe’s search engine can be used with any brand, keyword, or KPI to rank the most relevant deals based on your input within LoopMe’s library. The engine also provides reasoning for why a deal is relevant to campaign requirements, ensuring that users can make informed decisions about their audience reach. Additionally, only deals with very high relevance, based on a confidence score system, are presented.

Here’s a comparison of search results for Home Depot:

Traditional search:

  • Home Depot customers

LoopMe’s GenAI search:

  • Home Depot customers
  • High spenders + values brand reputation
  • Home and garden Black Friday and Cyber Week shoppers
  • Interested in home and garden content
  • Interested in DIY
  • High retail spenders
  • High spenders + planning to shop both in-store & online
  • Walmart customers

No login. A true library

“I love logins!” said no one ever. Agencies are tired of logging into multiple platforms, providing two-factor credentials, and resetting passwords regularly. This is why we have decided to make the LoopMe Premium Deals Library entirely public, allowing traders to find and implement deals on external DSPs without constantly needing to contact us or enter login details.

On top of this, LoopMe has ensured that all deals are publicly available for 100+ DSPs, copyable, and accessible within two clicks and under 20 seconds. On the backend, LoopMe synchronizes deals with all major DSPs, ensuring these deals appear instantly within DSP inventory marketplaces.

If you’re searching for a custom deal or cannot find your desired deal in the library, our contact form takes less than 60 seconds to complete. You’ll receive a response and a deal within three working days via email or a JIRA ticket.

Addressability and scale

Curation platforms ensure audiences are matched to relevant inventory SSP-side via PMPs, driving addressability and scalability. LoopMe’s Premium Deals Library utilizes its DMP, containing over two billion active and consented devices, enhanced with behavioral-graphic data from almost one billion survey responses and 30,000+ brand and performance campaigns.

Paired with LoopMe’s direct inventory supply — recently boosted by the acquisition of Chartboost — LoopMe provides supply chain-optimized traffic, matched to real-time audiences and scaled via LoopMe’s Persona ID graph for omnichannel presence.

The LoopMe Premium Deals Library is the easiest way for programmatic traders to buy LoopMe inventory and audiences at scale, while relying on LoopMe to manage supply and avoid common issues — such as non-contextually relevant inventory, MFA, and IVT — encountered in open marketplace traffic.

By Daly Farrington – Senior Product Manager