AI Analytics sales

About the Role

AI Analytics Sales

You'll work directly with business and technology decision-makers to understand their goals and challenges, and map our solutions to deliver measurable business outcomes using artificial intelligence, machine learning, and data analytics.

Key Responsibilities

• Drive new business development and strategic account growth in the U.S. market for AI/Analytics solutions.
• Own the full sales cycle from prospecting and qualifying leads to negotiating and closing deals.
• Identify customer challenges related to data, analytics, and automation, and position our AI solutions accordingly.
• Engage with senior-level stakeholders including CIOs, Chief Data Officers, and Heads of Analytics.
• Partner with pre-sales engineers, product, and customer success teams to deliver tailored demonstrations and solution proposals.
• Maintain and manage a robust pipeline with accurate forecasting via CRM tools (e.g., Salesforce).
• Stay up-to-date on industry trends and advancements in AI, data science, and analytics.
• Represent the company at client meetings, industry events, webinars, and conferences.

Required Qualifications

• 5+ years of enterprise sales experience

  , with at least 5

  + years selling AI, analytics, data science, or cloud-based solutions

  .
• Proven track record of exceeding quota in complex solution selling environments.
• Strong understanding of AI/ML technologies, predictive analytics, and cloud data platforms.
• Ability to translate technical concepts into business value for non-technical audiences.
• Experience selling into enterprise accounts across verticals such as healthcare, financial services, manufacturing, or retail.
• Excellent communication, presentation, and stakeholder management skills.
• Proficiency in CRM tools (Salesforce preferred).

Preferred Qualifications

• Experience selling advanced analytics platforms, AI/ML services, or working with tools like Data bricks, Snowflake, AWS, Azure, or GCP.
• Understanding of business intelligence, data engineering, or data governance topics.
• Exposure to neural networks, LLMs, NLP, or computer vision is a plus.
• Bachelor's degree in Business, Computer Science, Engineering, or a related field. MBA or technical Master's preferred.