Jobs at Scandit

Own strategy and roadmap for ShelfView capture: improve mobile/video/AR capture, define scheduling/onboarding, set capture quality metrics, run experiments, and coordinate cross-functional launches for shelf data acquisition across devices and robots.

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.

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

Generate and qualify net-new leads for enterprise and mid-market accounts through targeted outreach, research, and qualification calls. Maintain CRM data, set meetings and demos for Account Executives, engage senior executives, and collaborate with sales and marketing to improve processes and pipeline conversion.

Own end-to-end order-to-cash operations in a SaaS environment: order entry/validation in Salesforce and NetSuite, manage complex orders and collections, ensure data integrity, use AI tooling to automate processes, support month/quarter close, audits, and cross-functional resolution with Sales, Deal Desk, and Finance.

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.

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.