Jobs at Scandit

Technical Customer Success Engineer owning enterprise accounts: drive adoption, retention, and growth by advising on Scandit products/SDKs, leading discovery, building demos and integrations, running workshops/QBRs, and coordinating with Sales, Product, Engineering, and Support.

Manage a portfolio of US enterprise accounts to drive adoption, retention, and growth. Act as a technical advisor on Scandit products and SDKs, lead discovery, build demos and code snippets, support integrations, run workshops/QBRs, identify risks and expansion opportunities, and partner cross-functionally to deliver customer outcomes.

Serve as a technical Customer Success Engineer for US enterprise accounts: drive adoption, retention, and growth; build/configure demos and integrations; share code snippets; run workshops, QBRs, and discovery; partner with Sales, Product, Engineering, and Support; identify risks and expansion opportunities; act as customer advocate.

Generate pre-sale opportunities via phone, email and social; qualify inbound leads; run qualification calls to assess commercial and technical fit; research target accounts; engage senior executives; set meetings and demos for Account Executives; maintain CRM data and detailed sales notes; collaborate with AEs and field marketers across countries and verticals.

Lead global accounting, tax and treasury functions including month/quarter/year close, multi-entity consolidation, tax compliance, audits, treasury operations, controls, ERP improvements and team development to scale finance operations.

Own the strategy and roadmap for ShelfView capture across mobile, fixed cameras, and robots. Define capture experience, scheduling, store onboarding, quality metrics, and run experiments. Collaborate with design, mobile engineering, and computer vision teams to improve capture accuracy, cost, and speed, and coordinate pilots and launches with sales and marketing.

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.

Lead technical discovery and early development of an action-recognition CV product for retail: design experiments, build end-to-end video ML pipelines, set up annotation workflows, prototype and evaluate models, optimize precision/recall and latency, and provide technical leadership across product and engineering.

Lead technical discovery and early development of action-recognition systems for retail. Define data collection and annotation workflows, prototype and evaluate models, build end-to-end video CV/ML pipelines, optimize precision/recall and latency, and collaborate with product and engineering to deliver production-grade, privacy-aware solutions.

Lead technical discovery and early development of an action-recognition CV product for retail. Own data collection/annotation, prototype and deploy end-to-end video ML pipelines, optimize models for precision, recall and latency, and provide technical leadership across product and engineering stakeholders.

Lead technical discovery and early development of an action-recognition CV product for retail. Define data collection and annotation, design end-to-end video ML pipelines, prototype and evaluate models, optimize precision/recall and latency, and provide technical leadership across product, data, and engineering.

Lead technical discovery and early development of action-recognition systems for retail video: design data collection and annotation, build end-to-end CV/ML pipelines, prototype and optimize models for precision/recall/latency, and collaborate with product and engineering to deliver production-grade, privacy-aware solutions.

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.

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.