Ascendion · 4 hours ago

Presales Engineer Azure

United States

Full-time

Remote

Mid, Senior Level

$125K/yr - $145K/yr

5+ years exp

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Chinmay Range

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Responsibilities

Own technical discussions with customers leveraging processes and tools, demos, and programs using consultative sales methodology and technical expertise to influence the customer vision; establish rules of engagement (e.g., role boundaries, handoff strategies) for extended teams.

Build technical strategy: map the agreed customer vision into a strategy, resolve concerns, preventing and removing technical blockers, and validating a strong business case for investment and translated technology complexity into business impact. Work with the customer, account team, and partners to orchestrate a roadmap for implementation guiding the customer to choose the best Analytics platform and win the AI design for their needs.

Design the solution using your AI technical knowledge, architectural approach, consultancy skills and our methodology to win a customer’s technical decision and meet the customer’s needs; drive proof of concepts (POCs)/Pilots to create momentum for MVPs, infusing key AI technologies where appropriate and being technically proficient to do POC with hands-on-skills.

Cross collaboration across AI, and Apps Innovation team to drive AI Design Wins and support the customer AI transformation inclusive of AI Applications and data foundation. Support the creation of new pipeline in collaboration with the Specialist and account team by identifying new opportunities within customer engagement and hand off to the Solution Specialist for pursuit.

Be the Trusted advisor and use proactive effort to find and understand customers’ pain points and work with partners to design and offer solutions (with business case) to technical leaders by being a AI and Analytics platform evangelist inclusive of new AI and Analytics projects plus real-time analytics, and end to end Data, Analytics and AI solutions.

Be the Voice of Customer to share insights and best practices with Global Black Belt and Engineering, to remove key blockers and drive product improvements.

Maintain and grow expertise in AI technologies (Azure OpenAI Service, Azure AI Services, and Azure ML and Model Catalog) and relevant Analytics, Data warehousing, Data Engineering, Data Science, and AI scenarios including Intelligent Data and Analytics Platform (Azure SQL DW, Lakehouse architecture, Fabric, Azure Databricks, Power BI) while keeping up to date with market trends and competitive insights; collaborate and share with the Data & AI technical community.

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

AI technologiesAzure OpenAI ServiceAzure AI ServicesAzure MLData EngineeringData ScienceAnalytics PlatformTechnical consultingAzure SQL DWLakehouse architectureAzure DatabricksPower BIConsultative sales methodologyProof of concepts (POCs)Voice of Customer