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The Junior Project Specialist will support the Allegro Product Catalog team by assisting in daily operations, project development, and strategic planning. Responsibilities include working with large datasets, collaborating with various teams, ensuring high data quality, and using analytical skills to propose effective solutions. This role also involves understanding machine learning techniques and contributing to project efficiencies.

The Social Media Specialist will craft and execute social media strategies, manage ad campaigns on platforms like Meta and TikTok, and coordinate with creative agencies. Responsibilities include budgeting, reporting, and providing campaign insights while staying updated on social media trends and tech.

The Engineering Team Manager will lead the Vita team, enhancing Developer Experience at Allegro by managing tools and libraries critical for product development, automating and monitoring tools, and advocating for best engineering practices. Strong proficiency in Java/Kotlin is required, along with database skills and basic operations knowledge.

Develop and implement pricing strategies to maximize profitability and sales growth, analyze product margins, manage pricing tools, conduct market research, and collaborate with cross-functional teams. Additionally, the role involves conducting pricing experiments and A/B tests to optimize pricing decisions.

The DEI Manager will develop a comprehensive DEI strategy, collaborate with senior leadership, design training programs, support HR on DEI issues, ensure compliance with legal standards, analyze data on DEI initiatives, and represent the company at related events.

The VP of Marketing at Allegro will lead the marketing team, develop comprehensive strategies to drive growth, manage brand identity, oversee digital marketing initiatives, and collaborate with cross-functional teams to enhance customer engagement and brand loyalty.

As a Senior Data Scientist in Location Intelligence, you'll drive data-driven insights through geospatial analysis, predictive modeling, and collaboration to optimize delivery routes and enhance decision-making. Key tasks include data management, automation, and communication of insights to stakeholders, with a focus on improving operational excellence.