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5+ years of pre-sales experience with a focus on Cloud environments. + In depth knowledge and experience with Cornerstone, EdCast or Saba Cloud products. + Cloud Infrastructure and Operations.
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You will standout if you have experience with Federal Government procurement process and FedRAMP. Desired Skills: SaaS, Human Capital Management, Effective Communication, Solution/Consultative Selling, Team Player, Accountability, Salesforce.com, Enterprise Software, Customer Engagement, Talent/HRIS/CRM Management Systems Knowledge.
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Integrations (APIs, Web Services, Data Import/Export Tools, Connectors) and being the rockstar you are, be willing to take on additional responsibilities as needed. Provide support for enablement of sales team platform and technology capabilities.
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Additionally, each Technical Solution Consultant is expected to work with the corporate team to help relay knowledge and best practices. Transition accounts and communicate technical requirements and integration needs to implementation teams.
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Full-time Nevro team members enjoy a full suite of additional benefits such as market-leading medical, dental, and vision benefits, 401k matching, ample vacation time, pre-tax savings perks, tuition reimbursement, Employee Stock Purchase Plan (ESPP), short and/or long-term incentive opportunities, recognition awards, volunteer time off, and several employee resource groups that focus on supporting our Wellness, Leadership Development, and Diversity and Inclusion.
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Equal Employment Opportunity has been, and will continue to be, a fundamental commitment at Cornerstone OnDemand. The Technical Solution Consultant will report directly to the Director of Strategic Solutions.
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The Software Developer Lead IV informs product decisions by applying an understanding of data pipeline techniques and issues, including Application Programming Interface (API) access and integration; pre-processing; cloud security, process, and schema optimization; and the pros and cons of programming languages and associated packages.
$150,700 - $250,400 a yearExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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For Data Management, 1+ years of experience with cloud data platforms (Azure, GCP, AWS, ) 2+ years experience in solutions architecture and pre-sales. Understanding of SAP architectures and key S/4 HANA principles, integration of SAP SD, MM and FI modules is a plus.
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Description:Perform Pre and Post application and data migration validations,Problem Solving, Issue Resolution, Sense of urgency in solving production issuesPerform Data, Log Analysis and identify the root causeAble to identify business risks & contribute to user story definition.
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You have experience with microservices, Docker, Kubernetes, and Google Cloud. What you'll be doing as a Solutions Architect Engage with customers, both onsite and remote, in a technical consultancy and advisor role during the pre-sales process while providing technical assistance and solution guidance.
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10+ years of experience in a solutions architect, engineer, or pre-sales role working for a vendor or a customer. Zscaler was founded in 2007 with a mission to make the cloud a safe place to do business and a more enjoyable experience for enterprise users.
$233,750 - $275,000 a yearFull-timeExpandApply NowActive JobUpdated 3 months ago - UpvoteDownvoteShare Job
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The Solution Architect (SA) role is a KEY pre-sales technical position in Alibaba Cloud’s international business division. Solid foundation in computer science and cloud computing, with a good understanding of network, compute, storage systems.
$122,000 - $202,000 a yearFull-timeExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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Alluxio moves data closer to big data and machine learning compute frameworks in any cloud across clusters, regions, clouds, and countries, providing memory-speed data access to files and objects.
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Demonstrated experience developing and/or deploying to cloud / virtualization platforms including RHV, vSphere, OpenStack, Kubernetes etc. We currently provide engineering services to the Naval Research Laboratory (NRL) in support of: spacecraft design, development, integration, and test; satellite pre-launch, launch and mission operations; network design, development, and administration; and terrestrial observation applications for naval field units.
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They leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized machine learning (ML)-backed solutions at scale. They design and develop cloud-based software solutions designed to ingest and process data from various sources and contribute to solutions that provide predictive models with raw data.
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