Job Description

Are you dedicated to helping customers accomplish their goals? CRTR Staffing is leading this transition; come with me and help organizations reconsider their business models in order to achieve success. CRTR Staffing's purpose is to enable every individual and every organization on the planet to achieve more. As individuals, we all have a growth mindset, we all innovate to help others, and we all collaborate to achieve our shared objectives. Every day, we augment our commitment to respecting, maintaining, and accountable behavior to create a culture of inclusion that promotes growth both at work and beyond.

The primary objective of the CRTR Staffing Data & AI Technology SpecialisSB ExperSB ExperSB Experts (SB ExperSB ExperSB Experts) is to convince customers to purchase and utilize CRTR Staffing technology and services, for both Relational and Non-Relational scenarios, open source databases and the Azure Analytics platform, including the Azure Cosmos Data Brick, and CRTR Staffing fabric. The SB ExperSB ExperSB Experts is supposed to assist customers who technical assessors and decision makers. These individuals are expected to help the customers find new opportunities as well as make the best decisions. As a Technical Specialist, you will work within a virtual team of technical, partner, and consulting resources that will help educate your customers about technical issues, demonstrate, and prove our solutions, and win the technical decision, which will allow the team to achieve or exceed the quarterly sales goals in your accounSB ExperSB ExperSB Experts. Being a part of this team will help you maintain your extensive technical proficiency in CRTR Staffing and non-CRTR Staffing technology-based clouds.

Lead technical discussions with customers leveraging processes and tools, demos, and programs; using consultative sales methodology and technical expertise to understand the customer needs and demonstrate how CRTR Staffing solutions can address them; establish rules of engagement (e.g., role boundaries, handoff strategies) for extended teams.

Create a technical strategy: convert the agreed upon customer's vision into a strategy, address concerns, prevent and remove technical impedimenSB ExperSB ExperSB Experts, and validating the business case for investment in technology and then translating it into an impactful business endeavor. Work with the customer, account team, and partners to create a plan for implementing CRTR Staffing Analytics with the Governance framework (MAG).

Educate our customers on the benefiSB ExperSB ExperSB Experts of NoSQL in general, and particularly regarding Azure Cosmos DB. Assess the technical abilities of competitors in order to create a map of the current landscape and to create the technical migration and modernization plans, this will lead to a solid business proposal. Design the solution with your technical knowledge, architectural style, consultation abilities and our method of winning a customer's technical allegiance and achieving their needs. Ensure technical decision makers concur with the proposed design.

Convince POCs and piloSB ExperSB ExperSB Experts to generate momentum for SL Partners, utilizing appropriate AI technology and having a technical proficiency level to complete and conduct a POC with practical hands-on abilities.

Describe the end-to-end architecture, including both apps and data services (Azure Cosmos DB and OSS DB). Discover new ways to engage with customers. Be the trusted advisor and take proactive steps to discover and understand the customers' technical concerns, then design and provide solutions to these technical issues (with a business case).

Be the voice of the customer to communicate ideas and best practices to the engineering department, to eliminate the major impedimenSB ExperSB ExperSB Experts and improve the product. Maintain and expand your expertise in Data Modernization (Open Source DB and Cosmos DB), Analytics and Data Warehousing (including Intelligent Data Platform), and AI (OpenAI Services, Cognitive Services, and Machine Learning), while keeping up to date with current trends and pertinent information; collaborate and share with the Data & AI technical community.

Be a advocate for the Azure platform in regards to Analytics and Data Warehousing scenarios, such as enhancing your legacy Data Warehouse and migrating to the cloud, new deploymenSB ExperSB ExperSB Experts of Modern Data Warehousing, and end to end analytics solutions. Scale through partners, serving as a link between the partner and account team, and facilitating the provision of resources and capabilities to partners; identifying the technical capacity of internal teams as a way of providing feedback to these same teams. Create a technical skill development plan with the customer and the account team.

Qualifications:

• Solid technical pre-sales or technical advising experience OR Bachelor's degree in Computer Science, Information Technology, or related field AND a few years of technical pre-sales or technical advising experience OR Master's degree in Computer Science, Information Technology, or related field AND a few years of technical pre-sales or technical advising experience OR equivalent experience