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.
The Customer Success Manager will drive customer satisfaction and foster long-term relationships by providing strategic consultations and data-driven campaign optimizations. They will also act as a bridge between clients and internal product teams to address needs and ensure successful account growth.
Manage and optimize mobile programmatic advertising campaigns across various verticals to meet CPA and ROAS targets. Collaborate with cross-functional teams and utilize data tools like SQL and AI to drive performance and support client deliverables.
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 Legal Counsel will own the legal function, focusing on GDPR compliance, contract negotiations, and corporate governance. They will act as a business partner to senior leadership to scale the company's legal framework globally.
Lead all marketing aspects to sharpen Kayzen's positioning as a performance-focused DSP for CTV and mobile app advertising. Develop GTM strategies, grow inbound leads, and manage a team covering demand generation, content, and partnerships.
You will own the analytical layer of the product by diagnosing issues, surfacing insights, and automating recurring investigation workflows using AI tools. You will also collaborate with engineering and product teams to drive data-informed decisions and resolve complex customer-facing issues.
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.
The role involves managing day-to-day mobile programmatic campaign optimization across various verticals, focusing on hitting KPI targets like CPA and ROAS through tactics such as supply-side and audience optimization. Additionally, the trader will use SQL and leverage LLMs for recurring analyses, data briefs, and performance diagnostics.
The AI Platform Engineer/Lead will design and build internal AI frameworks and enable teams to integrate AI features seamlessly. They will also own AI tooling from experimentation to production and define best practices for AI usage.
