Top Fashion Jobs in Austin, TX

The Account Supervisor will manage client accounts, lead marketing projects, enhance client relationships, and execute omnichannel campaigns for advertising and branding.

Lead the copy team to enhance Huckberry's brand voice, create compelling copy across various channels, and analyze performance to drive engagement and sales.

The HR Shared Services TPM will manage cross-functional initiatives, oversee technical and programmatic aspects, drive process improvements, and engage with stakeholders to enhance employee experience.

Lead the design and operation of Stitch Fix's data and AI platforms, driving technical direction for AI-powered experiences and platform modernization. Responsibilities include strategy execution, operational excellence, and governance, while developing teams and fostering collaboration across technology and business units.

As an Engineer 2, you will design, develop, and maintain software solutions for Nordstrom's Selling Empowerment team, focusing on enhancing retail technology. Responsibilities include collaborating with teams, participating in code reviews, and ensuring system reliability.

This role involves managing COGS accounting, analyzing cost variances, improving accounting processes, and collaborating with Operations for accurate financial reporting.

The role involves developing and implementing updates to SAP BW, working with Azure data solutions, leading projects, and ensuring data governance.

Join the Rent the Runway Talent Community to submit your resume for future job opportunities and updates, enhancing the hiring process.

The Territory Manager will represent Hyer Boots in various retail locations, ensuring product visibility, maintaining relationships, managing inventory, and supporting brand promotion through effective merchandising.

Lead security architecture for digital transformation at LS&Co, embedding security into platforms, managing engineers, and ensuring compliance with industry standards.

The Senior Data Engineer will design, build, and manage data pipelines, collaborate with stakeholders, troubleshoot errors, and optimize analytics capabilities.