Data Platform Sales SME

IBM

Quick summary

Work type: On-site
Location: Research Triangle Park, NC
Posted: 4 days ago
Nearby: 99+ roles within 25 mi

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Salary context

How this pay compares to similar roles

Similar $165k

$118k most similar roles pay here $212k

This listing doesn't post a salary. Most similar roles pay $126,800–$203,068.

Based on 240 similar postings.

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IBM is a US-based global technology company providing hybrid cloud, AI, consulting, enterprise software, and IT infrastructure products and services.

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At a glance

TL;DR · Data Platform Sales SME

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We are seeking a Senior Member of the Engineering Team (SMET) to join our data platform sales team in Research Triangle Park, NC. This role involves working closely with clients to understand their data needs and building tailored solutions using cutting-edge technologies. Day-to-day responsibilities include conducting technical assessments, providing product demonstrations, and collaborating with internal teams to ensure customer success. The ideal candidate will have expertise in cloud platforms like AWS or Azure, proficiency in SQL and Python for data analysis, and a strong background in database management systems. Additionally, the role requires deep knowledge of big data technologies such as Hadoop and Spark, along with experience in machine learning frameworks. This position plays a crucial role in driving our company’s growth by addressing complex business challenges through innovative data solutions at scale.

Skills

Apply Now Business Ownership Product Expertise Value Delivery

What you'll do

Develop and execute sales strategies for data platform solutions.
Identify and engage potential clients to drive product adoption.
Provide in-depth technical guidance on data platform capabilities.
Collaborate with internal teams to tailor offerings for client needs.
Track market trends to inform sales approach and product enhancements.

What we're looking for

5+ years of experience in sales and business development for data platforms.
Proven track record of delivering value to customers through product expertise.
Strong understanding of data platform technologies and their applications.
Excellent communication skills for engaging with clients and stakeholders.
Ability to manage multiple projects and relationships simultaneously effectively.

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