Manage and optimize mobile programmatic advertising campaigns across multiple advertisers, monitoring CPA, ROAS, and retention targets while testing bids, budgets, creatives, and geographies. Analyze campaign data using SQL and AI tools, support dashboards and reporting, and collaborate with client success, product support, and supply teams.
The Sales Director will drive new business from CTV advertisers and app developers through outbound sales and strategic relationship building. They will also collaborate with marketing and product teams to refine the company's narrative and expand service offerings.
Design, deploy, and maintain highly scalable software components and data pipelines for real-time bidding and event processing. Collaborate with data scientists and product teams while mentoring junior engineers to build innovative industry-leading solutions.
You will own and grow a portfolio of mobile programmatic campaigns across various verticals while hitting CPA and ROAS targets. Additionally, you will shape trading playbooks, automate workflows using SQL and AI, and mentor junior team members.
Lead and mentor a team of fullstack engineers while contributing hands-on to the codebase and setting technical standards. Drive the technical strategy and integrate AI-powered coding agents to optimize development workflows.
Lead the Go-To-Market strategy for performance media buyers to drive customer acquisition and sustainable revenue growth. Build strong industry relationships and provide strategic product advisory to prospects across EMEA and the US.
Develop and enhance machine learning models to process terabytes of data for real-time ad requests. Collaborate with engineering teams to deploy scalable algorithms and conduct A/B tests to optimize the value chain.
The role involves continuously improving existing machine learning models by incorporating new features and parameters, and developing scalable supervised and unsupervised learning algorithms in collaboration with the Machine Learning Engineering team. Responsibilities also include exploring new data sources, researching innovative ML solutions to optimize the value chain, and regularly conducting and evaluating A/B tests.
