
Data-Driven Business Growth Specialist
2 days ago
We are seeking an accomplished sales professional with a strong background in IT solutions sales, particularly in the domains of Artificial Intelligence (AI), Machine Learning (ML), Data Science, and Data Engineering. The ideal candidate will possess a proven track record of success in identifying, acquiring, and onboarding new customers across international markets.
The role requires a skilled hunter mindset, with the ability to sell value-driven solutions rather than merely resource placement. This position demands a high level of expertise in understanding our company's capabilities, products, and intellectual property (IP), as well as the ability to translate them into customer-focused solutions that drive growth and revenue.
Key Responsibilities:- Identify and acquire new customers across global markets through strategic business development and relationship-building efforts.
- Develop and execute sales strategies to effectively promote AI, Data Science, Data Engineering, and IT solutions to customers, emphasizing their value proposition over resource placement.
- Gain a deep understanding of our company's offerings, products, and IP, and apply this knowledge to create compelling, customer-centric solutions that meet their needs and drive business results.
- Meet or exceed revenue growth, sales targets, and order booking goals through consistent achievement of key performance indicators (KPIs).
- At least 5 years of experience in IT solutions sales, with a strong emphasis on AI/ML, Data Science, and Data Engineering domains.
- A minimum of 2 years of proven experience selling to customers in North America, UK, or Middle East markets.
- Experience selling both products and services within the IT/AI domain, with a focus on delivering value-driven solutions that meet customer needs.
- Prior experience working with cloud-based technologies and platforms.
- Strong knowledge of industry trends, market developments, and emerging technologies in the AI/ML, Data Science, and Data Engineering spaces.
- Familiarity with CRM tools and software, with experience using them to manage sales pipelines and customer relationships.
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