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Experience Level
Manager
Qualifications
Key Responsibilities:Lead, mentor, and cultivate a team of skilled Frontend/Full Stack and Backend engineers, promoting a culture of technical excellence and high-quality code.Act as a Full Stack technical leader (hands-on), contributing to the design and development of key architectures and comprehensive solutions that cater to multiple platforms (Web, Mobile, CTV).Define and implement the team's objectives, concentrating on end-to-end customer interactions and ensuring reliable ad displays worldwide.Develop and oversee advanced observability systems for our Ad Display platform, monitoring critical metrics such as reliability, viewability, latency, and delivering in-depth debugging insights for ad creation teams.Establish governance for cross-team ad rollout, defining best practices and tools for thorough testing and deployment strategies (A/B testing, Canary deployments).Lead substantial technical projects on a massive scale, ensuring our solutions can process millions of requests while maintaining high performance globally.Collaborate closely with a Staff Frontend Engineer, stakeholders from ad layout creation teams (designers, graphic specialists), and our core Bidding Platform backend teams.Desired Qualifications:At least 6 years of professional experience in Software Engineering, with a robust background in developing and deploying complex, large-scale systems.Expertise in Distributed Systems: Demonstrated experience in designing, developing, and managing distributed systems at scale (e.g., microservices, event-driven architectures, stream processing).Proficiency in multiple programming languages, with Python as a requirement. Familiarity with languages such as Java, Go, or Scala is advantageous.Fundamental understanding of the Machine Learning lifecycle, MLOps practices, and experience in AI/ML Engineering.
About the job
Location: Poland
About Us:
RTB House is a leading global technology company that specializes in cutting-edge marketing solutions for renowned brands and agencies across the globe. Our proprietary ad-buying engine, the first of its kind, utilizes Deep Learning algorithms to provide advertisers with exceptional results and to effectively meet their objectives at every stage of the marketing funnel.
We invite you to join RTB House as the head of our AI Engineering Lab, a team dedicated to driving innovation through the latest advancements in Agentic AI. This position is designed for a proactive engineer and technical leader committed to architecting, developing, and deploying next-generation AI solutions that enhance engineering productivity.
About RTB House
RTB House is at the forefront of marketing technology, providing innovative advertising solutions powered by AI to help brands achieve their marketing goals effectively. Our commitment to leveraging deep learning ensures we are always ahead in delivering impactful results for our clients.
Clicking Apply Now takes you to AutoApply where you can tailor your resume and apply.
Unlock Your Potential
Generate Job-Optimized Resume
One Click And Our AI Optimizes Your Resume to Match The Job Description.
Is Your Resume Optimized For This Role?
Find Out If You're Highlighting The Right Skills And Fix What's Missing
Experience Level
Manager
Qualifications
Key Responsibilities:Lead, mentor, and cultivate a team of skilled Frontend/Full Stack and Backend engineers, promoting a culture of technical excellence and high-quality code.Act as a Full Stack technical leader (hands-on), contributing to the design and development of key architectures and comprehensive solutions that cater to multiple platforms (Web, Mobile, CTV).Define and implement the team's objectives, concentrating on end-to-end customer interactions and ensuring reliable ad displays worldwide.Develop and oversee advanced observability systems for our Ad Display platform, monitoring critical metrics such as reliability, viewability, latency, and delivering in-depth debugging insights for ad creation teams.Establish governance for cross-team ad rollout, defining best practices and tools for thorough testing and deployment strategies (A/B testing, Canary deployments).Lead substantial technical projects on a massive scale, ensuring our solutions can process millions of requests while maintaining high performance globally.Collaborate closely with a Staff Frontend Engineer, stakeholders from ad layout creation teams (designers, graphic specialists), and our core Bidding Platform backend teams.Desired Qualifications:At least 6 years of professional experience in Software Engineering, with a robust background in developing and deploying complex, large-scale systems.Expertise in Distributed Systems: Demonstrated experience in designing, developing, and managing distributed systems at scale (e.g., microservices, event-driven architectures, stream processing).Proficiency in multiple programming languages, with Python as a requirement. Familiarity with languages such as Java, Go, or Scala is advantageous.Fundamental understanding of the Machine Learning lifecycle, MLOps practices, and experience in AI/ML Engineering.
About the job
Location: Poland
About Us:
RTB House is a leading global technology company that specializes in cutting-edge marketing solutions for renowned brands and agencies across the globe. Our proprietary ad-buying engine, the first of its kind, utilizes Deep Learning algorithms to provide advertisers with exceptional results and to effectively meet their objectives at every stage of the marketing funnel.
We invite you to join RTB House as the head of our AI Engineering Lab, a team dedicated to driving innovation through the latest advancements in Agentic AI. This position is designed for a proactive engineer and technical leader committed to architecting, developing, and deploying next-generation AI solutions that enhance engineering productivity.
About RTB House
RTB House is at the forefront of marketing technology, providing innovative advertising solutions powered by AI to help brands achieve their marketing goals effectively. Our commitment to leveraging deep learning ensures we are always ahead in delivering impactful results for our clients.