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Microsoft Azure and M365 Cloud. -Technical Account Management, Client Relationship Manager, Customer Success Manager, Sales Engineer, Service Delivery Manager, or similar. - Own onboarding and lifecycle of multiple clients (Ex: Understanding contract language, cloud environments, Network Infrastructure, product lifecycles, technical documentation, workstation clean up, etc.
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Solution Architect and/or Developer Certification on Oracle Cloud, AWS, Azure or Google Cloud. Knowledge and experience with any of public cloud providers including Oracle, Amazon Web Services (AWS), Azure or Google (GCP) architecture, tools, and cloud methodologies.
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Experience in modern scaled cloud platforms, such as Google Cloud, AWS, Azure, IBM, Alibaba, Oracle, etc. Your Mission As a Senior Pre-Sales Cloud Engineer at SADA, you will work collaboratively with other architects and engineers to design, prototype, and inspire customers into Google Cloud services and properties.
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Technical Certification in Cloud (e.g., Azure, Amazon Web Services, Google, security certifications). You have experience in technology/software sales or pre-sales consulting.
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Solid knowledge of popular public cloud services infrastructure offerings such as AWS, GCP, and Azure (knowledge at a certified solutions architect level a plus) Our Pre-sales SSA's bring a deep technical understanding of cybersecurity products, integrations and critical cyber threats facing our customers' environments.
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Experience with Qualys or other security and compliance platforms as a practitioner, technical seller, sales engineer, or consultant. Support complex deals in the pre-sales stage alongside Qualys sellers and take ownership for driving the technical engagements and securing the technical win.
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Multi-Cloud experience (AWS, Azure, Google) , cloud networking, monitor, serverless, kubernetes. All non-sales roles participate in an annual cash bonus program, while sales roles have an incentive plan.
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Experience with Cloud (AWS/GCP/Azure) 5+ years of pre-sales engineering experience in the software/technology sector; Data Security experience desired Hands on/practitioner experience desired Early stage startup experience desired.
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In your role as a Machine Learning Engineer | AI Research, you will partner with analysts, engineers, designers, executives, product managers, marketers, customer success, and sales team members across all Cloud businesses to create ML-driven decision making data products that enable our partners to affect the bottom line and solve critical business problems.
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This individual possesses a wealth of consulting sales and delivery experience with one or more of Ollion’s key cloud partners (AWS, Azure and GCP) across industries, preferably Financial Services and / or Media and Entertainment.
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Freshworks’ cloud-based software suite includes Freshdesk (omni-channel customer support), Freshsales (sales automation), Freshmarketer (marketing automation), Freshservice (IT service desk), Freshchat (AI-powered bots), supported by Neo, our underlying platform of shared services.
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Be the technical voice of Sales for all things related to security and compliance in Public Cloud (Alicloud, AWS, Azure, and Google Cloud Platform) Hands-on experience using IaC software tools (CloudFormation, Terraform, Azure Resource Manager, GCP Cloud Deployment Manager etc) and CI/CD tools (IDEs, GitLab, GitHuB, Jenkins, CircleCI, etc.
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Unterstützung deiner persönlichen und fachlichen Weiterentwicklung mit internen Soft-Skill Schulungen und Zertifizierungen bei unseren Cloud Partnern AWS und Azure. Innerhalb deines ersten Monats wirst du von einem fachlichen und organisatorischen Mentor in die BTC Cloud-Welt geführt unsere Werte und Arbeitsweisen der Selbstorganisation kennenlernen deinen fachlichen Mentor in Kundenprojekten begleiten, um zu verstehen, wie wir vertrieblich Zusammenarbeiten und wie unser Portfolio aufgebaut ist.
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Working knowledge of popular public cloud services infrastructure offerings such as AWS, Azure, and GCP. Qualys Federal subject matter experts provide valuable insights and education on asset and vulnerability management, remediation, threat intelligence, and public cloud security using the Qualys platform.
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Demonstrated success in cloud data/analytics projects centered around Snowflake, AWS toolsets, Azure Data Factory and supporting BI platforms (Tableau, QlikSense, Power BI, MicroStrategy.
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