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The Customer Success Specialist will manage customer accounts, drive strategies to enhance customer satisfaction, retention, and value through BizzyCar’s solutions. Responsibilities include onboarding, conducting account reviews, gathering feedback, and collaborating with sales and technical teams to improve processes and address customer needs.

The Access Control Coordinator is responsible for managing building access, maintaining security and safety, monitoring surveillance systems, responding to emergencies, providing customer service, and ensuring compliance with established procedures. They document activities, assist with traffic control, and potentially manage freight deliveries.

The Director of Product Marketing will lead product marketing initiatives, define go-to-market strategies, develop messaging and positioning for products, and work collaboratively with various teams to launch products. Responsibilities include conducting market analysis, creating sales tools, and communicating product value propositions to support sales efforts.

The SMT Programmer will develop and optimize SMT programs for Mycronic pick-and-place machines, ensure smooth production operations, troubleshoot machine issues, and integrate Aegis FactoryLogix software for production planning and quality control, while collaborating with engineering and production teams.

The Tax Manager will oversee global tax compliance and strategy, manage tax filings for cross-border activities, collaborate with finance leadership for tax guidance, maintain compliance documentation, and contribute to tax management tool selection and training.

The Market Sales Representative at Cambria is responsible for building and nurturing relationships with clients to drive sales within an assigned territory. The role involves developing sales strategies, servicing local business partners, educating on product offerings, maintaining customer data, and actively participating in networking events.

As a Software Engineer focused on ML at Tavus, you will develop new features using computer vision and NLP models, take ownership of ML Ops tasks, and design experiments to enhance AI models while improving existing technical frameworks.