Identify new sales opportunities and convert them into RTB House clients
Manage relationships with senior budget owners and decision-makers of top gaming studios, developers, and agencies
Devise strategies to acquire new partnerships by managing the full sales cycle from prospecting to closing
Provide accurate forecasts to internal stakeholders and report regularly on progress, budget, and goal realization
Partner with internal HQ, account management, creative, legal, and tech teams
Develop gaming subject matter expertise and provide advertising strategy recommendations to clients
Negotiate campaign conditions based on client needs and product knowledge
Business DevelopmentAccount Management
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About RTB House
RTB House pioneers Deep Learning AI to transform digital advertising. They leverage proprietary algorithms to optimize ad campaigns for major brands. Their platform helps businesses maximize conversions and acquire new customers. Operating in over 90 markets, RTB House delivers end-to-end AdTech solutions. They focus on first-party advertising and continuous innovation.
How We Work
RTB House embraces flexible work arrangements, including full remote options. You can choose to work from home or from their offices in Warsaw or Cracow. They value a healthy work-life balance and provide a home-office stipend. Team members are encouraged to think creatively and take ownership. There is a strong focus on continuous learning and professional growth. This dynamic environment supports career advancement and cross-functional collaboration. RTB House fosters a workplace where individuals feel valued and empowered.
Engineering at RTB House
RTB House's core is a proprietary ad-buying engine powered entirely by Deep Learning AI. This engine processes over 20 million requests per second globally. Engineers tackle challenges in high performance, scalability, and observability for ad display and tracking. You will build internal tools and intelligent agents to boost engineering productivity. The team evaluates novel Agentic AI systems, LLMs, and Model Context Protocols (MCPs). This involves making pragmatic build-vs-buy decisions for complex solutions. Their tech stack includes Python, Java, Scala, PyTorch, and modern web frameworks. They also utilize Google Cloud Platform, Kubernetes, Kafka, and Elasticsearch. They are actively contributing to cookieless solutions like the Chrome Privacy Sandbox.
Why Join Us
Build with Deep Learning AI to solve complex, large-scale problems in AdTech.
Work in a truly international environment across 90+ markets.
Contribute to a product with a 99% client retention rate.
Enjoy flexible work-life balance with remote or hybrid options.
Benefit from internal training programs and an annual budget for skill development.