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Unidays
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AdTech • Marketing Tech
As a Commercial Analyst, you will analyze data to drive partner success through reporting, strategic recommendations, and innovative solutions. You will create performance evaluations, support partner relationships, and collaborate with teams to enhance reporting tools and automate processes for optimizing performance.
AdTech • Marketing Tech
The Software Engineer at UNiDAYS is responsible for building innovative full stack solutions that meet user needs and align with business goals. The role involves collaborating with product managers and designers to deliver effective marketplace features, ensuring system reliability, and engaging in continuous learning within a supportive team environment.
AdTech • Marketing Tech
As a Corporate Counsel, you will draft, review, and negotiate commercial contracts while advising global teams on compliance, data protection, and regulatory issues. You will assist internal stakeholders, maintain the IP portfolio, and ensure adherence to legal standards across various regions including the UK, EMEA, and US.
AdTech • Marketing Tech
The Corporate Counsel will provide legal guidance across various functions, draft and negotiate contracts, advise on compliance with consumer and advertising legislation, assist in product reviews, manage IP, and counsel on data privacy laws. The role requires managing relationships with internal stakeholders and ensuring alignment with legal standards in a fast-paced environment.
AdTech • Marketing Tech
As a Software Engineer at UNiDAYS, you will contribute to building innovative solutions for the marketplace product, collaborate with product managers and designers, and work alongside experienced engineers. You'll engage in a cloud-based architecture transition, focusing on scalable and maintainable features while ensuring system availability and monitoring.
AdTech • Marketing Tech
As a Senior Machine Learning Engineer, you will manage and enhance existing ML systems, develop new ML innovations, and collaborate with various teams to ensure the effective application of machine learning across the organization. Responsibilities include system maintenance, issue resolution, stakeholder communication, and mentoring team members.