Paris, Ile-de-France, France · On-site
<p><strong>About Adcities</strong></p> <p><strong>Adcities is redefining outdoor advertising by bringing digital-level targeting, measurement and attribution to the physical world.</strong></p> <p><strong>Our platform le…
Skills: Publisher Development, Supply Partnerships, Account Management, OOH/DOOH Planning, Programmatic Advertising
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Responsible for identifying, signing, and onboarding major OOH and DOOH media owners to grow Adcities' supply portfolio in the French market. The role involves managing the full publisher lifecycle from prospecting and negotiation to technical integration and long-term performance optimization.
Requires over 8 years of experience in publisher development or AdTech, with a deep understanding of the programmatic ecosystem and OOH/DOOH market dynamics. Candidates must have a proven track record of signing partnerships and managing technical integrations alongside product teams.
A plus**
AI transformation for your enterprise delivered at startup speed.
Most companies are thinking about artificial intelligence. Very few are actually using it to change how they operate. Global Nodes bridges that gap. We partner with mid-market businesses to build artificial intelligence systems that do real, outcome-based work — inside their operations, not just in a demo. We are not a software agency or a prompt engineering service. We are a technical partner that helps companies move from artificial intelligence curiosity to artificial intelligence infrastructure — the kind that integrates with your data, works with your teams, and delivers measurable business results. What we build: → Artificial intelligence strategy tied to real financial outcomes and key performance indicators → Workflow automation across operations, sales, reporting, and customer support → Custom artificial intelligence agents — for document processing, sales assistance, knowledge management, and more → Data intelligence layers that unify systems like customer relationship management and enterprise resource planning into one source of truth Who we work with: Mid-market companies in logistics, entertainment, media, healthcare, financial services, real estate, and industrial sectors — organisations with real operations, real data, and genuine workflow complexity. How we work: We move fast. We show working demos early. We start small, prove value, then scale. Most engagements follow four stages: audit, minimum viable product, optimisation, and scale. The goal is always the same — by the end of every engagement, artificial intelligence should be increasing revenue, reducing costs, saving time, or enabling faster decisions. Building artificial intelligence inside a company is much closer to launching a startup than executing a website project. That belief shapes everything we do.
Offices: Miami, Florida 33139, US
AI transformation for your enterprise delivered at startup speed.
Most companies are thinking about artificial intelligence. Very few are actually using it to change how they operate. Global Nodes bridges that gap. We partner with mid-market businesses to build artificial intelligence systems that do real, outcome-based work — inside their operations, not just in a demo. We are not a software agency or a prompt engineering service. We are a technical partner that helps companies move from artificial intelligence curiosity to artificial intelligence infrastructure — the kind that integrates with your data, works with your teams, and delivers measurable business results. What we build: → Artificial intelligence strategy tied to real financial outcomes and key performance indicators → Workflow automation across operations, sales, reporting, and customer support → Custom artificial intelligence agents — for document processing, sales assistance, knowledge management, and more → Data intelligence layers that unify systems like customer relationship management and enterprise resource planning into one source of truth Who we work with: Mid-market companies in logistics, entertainment, media, healthcare, financial services, real estate, and industrial sectors — organisations with real operations, real data, and genuine workflow complexity. How we work: We move fast. We show working demos early. We start small, prove value, then scale. Most engagements follow four stages: audit, minimum viable product, optimisation, and scale. The goal is always the same — by the end of every engagement, artificial intelligence should be increasing revenue, reducing costs, saving time, or enabling faster decisions. Building artificial intelligence inside a company is much closer to launching a startup than executing a website project. That belief shapes everything we do.
Offices: Miami, Florida 33139, US
