Jobs at Scandit

The Data Operations Quality Manager will oversee operational quality in data processes, design quality metrics, maintain frameworks, and collaborate with teams to enhance customer experience.

Lead B2B content strategy and creation across the buyer journey, translating vision AI and smart data-capture technology into thought leadership, campaign and sales content. Collaborate with product, campaign, field and digital teams, build relationships with subject matter experts, use GA4 and analytics to optimize content, and leverage AI tools and custom GPT workflows to scale production and distribution.

Year-long placement supporting B2B marketing communications: create and optimize content and social assets, manage CMS updates, assist video and ABM campaigns, draft customer case studies and newsletters, maintain Salesforce-based advocacy resources, and produce monthly and quarterly marketing reports. Work cross-functionally with mentorship from senior team members.

Lead and mentor the Platform Engineering team, improve cloud infrastructure and CI/CD operations, and drive cross-team initiatives for efficiency and security.

Lead the Platform Engineering team, managing cloud infrastructure and CI/CD pipelines, while driving cross-team initiatives and improving engineering processes.

Lead and mentor the Platform Engineering team, manage cloud infrastructure and CI/CD pipelines, drive security initiatives, and improve engineering efficiency.

Lead and mentor the platform engineering team, improve cloud infrastructure and CI/CD processes, drive security initiatives, and enhance engineering efficiency.

Lead and mentor the Platform Engineering team, improve cloud infrastructure and CI/CD pipelines, drive security initiatives, and align cross-team collaborations.

As a Senior Computer Vision Engineer, you will lead the development of innovative computer vision systems for retail, focusing on action recognition and creating robust models from real-world video data.

The role involves implementing global performance and development processes, embedding talent and succession planning, designing talent development strategies, leading stakeholder engagement, and managing change initiatives.

The Customer Success Engineer will manage key US enterprise accounts by driving adoption, providing technical guidance, and facilitating solutions integration while collaborating with cross-functional teams.

The Engineering Manager leads the Platform Engineering team, guiding DevOps and SRE professionals, managing cloud infrastructure, and improving CI/CD processes, while ensuring effective collaboration with product teams.

The internship focuses on advancing machine learning methods for computer vision, involving designing ML architectures, conducting experiments, and implementing improvements on image-to-sequence modeling techniques.

Collaborate with ML researchers to design and experiment with deep learning architectures for image-to-sequence modeling, improving computer vision tasks.

The Digital Customer Success Manager will manage a portfolio of 100 enterprise accounts, drive adoption and retention, utilize data-driven insights, and collaborate with cross-functional teams to ensure customer satisfaction and success.

Drive document parsing solutions through hands-on improvements in ML systems, mentoring team, and staying updated on computer vision research.

The Program Manager oversees operational quality in ML Data Operations, establishes quality metrics, designs annotation frameworks, and supports various teams with quality insights. Their role ensures effective decision-making and enhances customer experience through operational excellence.