Pre-Sales Engineer

Job not on LinkedIn

September 30

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Logo of Everseen

Everseen

Artificial Intelligence • Retail • eCommerce

Everseen is a company that specializes in advanced Vision AI solutions designed to optimize retail operations and enhance loss prevention. Their platform consolidates structured and unstructured data from multiple sources, creating a holistic view of retail processes. Everseen offers a comprehensive suite of applications, including Evercheck, which employs AI to identify shrink patterns at checkout, and tools for real-time intelligence, process modeling, and continuous learning in AI systems to ensure ethical and efficient operations.

📋 Description

• Deliver compelling, customized demonstrations of Everseen technology to technical and business stakeholders. • Own the technical components of the sales process, ensuring a seamless and informed sales journey. • Engage directly with customer CTOs and technical leaders to build trust and instill confidence in the solution’s capabilities and fit. • Work collaboratively with the sales team to define tailored technical solutions that align with customer needs and business goals and help drive the sales process. • Act as the subject matter expert (SME) on product, delivering deep technical insight and advice on data insights gained. • Provide technical expertise through presentations, solution designs, demonstrations and proofs of concept via various mediums. • Translate customer requirements into solution architecture, articulating how the platform solves real-world problems and the insights it generates. • Provide excellent customer service, anticipating and meeting customer needs. • Collaborate with Go-To-Market, Operations, Engineering and Product teams to document and improve best practice and processes and share knowledge. • Stay up to date with new developments in Everseen technology, computer vision, Gen AI, and the wider retail technology space.

🎯 Requirements

• 5+ years in technical sales, presales or solution engineering roles working with enterprise level customers and on SaaS based products, solutions or services. • Knowledge of and interest in AI and its use in retail. • Knowledge and experience of the retail market. • A true passion for delivering best-in-class customer experience and demonstrated success in positioning, presenting and demonstrating new products and features. • Ability to develop a comprehensive understanding of customer culture, needs and requirements in the Australia - New Zealand region. • Experience of advanced data analytics. • Experience of forecasting and tracking key account metrics in a business development team; drive to meet and exceed targets and goals. • Experience of developing relationships, communicating and working with customers at a technical level. • Strong verbal and communication skills; Everseen’s business language is English. • Willingness to travel to meet with customers and to work with the Everseen team. • Extensive experience working with Linux systems, including Bash scripting, package management, and log analysis. • Proficiency with containerization technologies such as Docker and Podman, and hands-on experience with Kubernetes orchestration, Helm charts, and multi-tenant policies. • Solid knowledge of virtualization platforms (VMware, Hyper-V, KVM) and capability to define hardware requirements for CPU, RAM, GPU, and storage sizing. • Strong understanding of networking concepts, including TCP/IP, VLANs, VPNs, firewalls, and load balancing. • Familiarity with retail POS systems (NCR, Diebold Nixdorf, Toshiba, Oracle) and their integration with back-office solutions, as well as PCI DSS compliance and peripheral hardware (scanners, printers, SCOs, EFT terminals). • Exposure to cloud and hybrid edge deployments, including monitoring and observability using Prometheus, Grafana, and Power BI. • Comfortable with security best practices, including SELinux, Kubernetes RBAC, secrets management, VPN tunneling, and log management. • Strong solution design and pre-sales skills, including requirements gathering, creating technical architectures, presenting demos/POCs, and building customer-ready documentation and BOMs. • Familiarity with automation tools, especially Ansible. • Proficiency in tools such as Salesforce, Microsoft 365, and Jira.

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