• Integrate AI and machine learning outputs into backend services • Build and maintain pipelines that ingest video content and prepare it for AI processing • Support integrations between video streaming data and AI analysis systems • Review system dependencies and permissions to ensure reliable integrations • Collaborate with front-end developers to ensure AI insights are surfaced in the product experience

• Work with our customers to understand their challenges and needs and the value in solving them • Collaborate with teams across Gcore to deliver an amazing solution to our customers • Excel at owning and coordinating team resources to successfully build and deliver a compelling and differentiated solution demonstration • Design a Customer-centric Solution aligned with Business Value • Collaboration with Sales Managers, create proposals and organize live demos, and product presentations • Provide technical consulting to customers • Lead pre-sales architectural discussions and design workshops with customers and understand customers' technical requirements deeply • Share the voice of the customer to inform the roadmap of Gcore features • Act as a bridge between customers, service engineering teams, and support.

• Work closely with customers to design and implement cloud architectures on Gcore • Build and deliver hands-on MVPs and proof-of-concept solutions for non-standard customer onboarding scenarios • Help clients deploy and configure: Virtual machines and bare metal servers, VPCs, networks, subnets, routing, security groups, and load balancers, Kubernetes clusters and related services, Container registries and containerized applications • Troubleshoot and debug: Network connectivity, routing, DNS, and security issues, Kubernetes cluster problems (pods, services, ingress, deployments, scaling, etc.) • Analyze existing customer infrastructures and: Identify bottlenecks and single points of failure, Propose improvements for performance, reliability, cost, and security • Create and maintain technical documentation, reference architectures, and best practices • Participate in customer calls, workshops, and demos, explaining complex technical concepts in clear and simple language • Collaborate with internal teams (Support, Engineering, Product) to resolve complex cases and improve the platform • Act as a proactive, trusted advisor for customers, anticipating potential issues and suggesting preventive measures

• Lead end-to-end implementation programs & projects for Veeva Network and Veeva CRM, ensuring delivery against global standards while accommodating local market requirements. • Establish, mentor, and guide cross-functional project teams, fostering collaboration and capability growth to ensure long-term sustainability of the solutions. • Act as a trusted partner for senior business stakeholders, ensuring transparency, alignment, and effective management of differing priorities across global, regional, and local levels. • Define functional requirements, oversee solution design, and collaborate with Veeva, Salesforce, and integration teams on data models, workflows, and platform alignment. • Shape governance frameworks to maintain data quality, lifecycle management, and compliance with regulations such as GDPR and transparency reporting. • Ensure seamless integration with CRM, ERP, and customer engagement platforms, maximizing value creation across commercial and medical functions. • Lead planning, UAT, go-live readiness, and change management activities, ensuring successful adoption and long-term business impact. • Contribute insights on industry trends and emerging best practices to shape the roadmap and ensure that solutions remain future-ready.