AI Sales Manager

Role Overview

The organization is looking for an accomplished AI Sales Manager to drive revenue growth for the QpiAI Pro platform. This professional-grade AI platform offers advanced machine learning, predictive analytics, and AI model development capabilities to enterprises. The role is quota-carrying and requires a demonstrated ability to sell enterprise AI platforms, analytics solutions, or data science tools. The candidate will identify opportunities with data-driven organisations, develop relationships with Chief Data Officers and analytics leaders, and close deals that enable businesses to build, deploy, and scale AI applications across various domains.

Key Responsibilities

• Take ownership of and exceed quarterly and annual sales quotas for the QpiAI Pro platform.
• Identify, prospect, and close new business opportunities with enterprise customers in finance, healthcare, retail, manufacturing, and technology sectors.
• Target key decision-makers such as Chief Data Officers, VPs of Analytics, Heads of Data Science, and AI/ML Engineering leaders.
• Develop compelling value propositions that showcase the platform's capabilities for model development, deployment, monitoring, and MLOps.
• Understand enterprise AI/ML workflows, including data preparation, feature engineering, model training, deployment, and governance.
• Conduct technical demonstrations to highlight QpiAI Pro's capabilities in advanced analytics, predictive modelling, and AI application development.
• Collaborate with data scientists, ML engineers, and technical account managers to deliver proofs-of-concept and pilot programmes.
• Manage complex sales cycles involving data science teams, IT infrastructure, security, and procurement stakeholders.
• Maintain precise sales forecasting and pipeline management in CRM systems.
• Represent QpiAI at data science conferences, AI summits, and enterprise technology events globally.
• Provide market intelligence on enterprise AI platform trends, competitive positioning, and customer requirements.

Required Qualifications

• Bachelor's degree in Engineering, with specialization in Computer Science, Data Science, Mathematics, Statistics, or a related technical field.
• 5-7 years of proven experience in directly selling AI/ML platforms, data science tools, or analytics solutions to enterprise customers.
• Demonstrated track record in quota-carrying sales roles with consistent target achievement.
• International sales experience covering multiple regions, such as North America, Europe, APAC, or the Middle East.
• Comprehensive understanding of machine learning, data science workflows, and enterprise AI platform capabilities.
• Experience in selling to data science and analytics organizations, including an understanding of technical requirements.
• Strong consultative selling skills, with the ability to articulate technical value and business outcomes.
• Excellent presentation, negotiation, and communication skills, suitable for both technical and executive audiences.
• Willingness to travel extensively, estimated at 30-40%.

Preferred Qualifications

• MBA from a reputed institution.
• Background in data science, machine learning, or statistical modelling.
• Knowledge of MLOps, model governance, and AI lifecycle management.
• Experience selling AI/ML platforms that compete with Databricks, SageMaker, Azure ML, or DataRobot.
• Track record of selling to Fortune 500 companies or large enterprises with mature data science teams.
• Understanding of cloud infrastructure, including AWS, Azure, and GCP, as well as containerization technologies.
• Experience managing sales cycles with annual contract value exceeding $500,000.
• Familiarity with Python, R, TensorFlow, PyTorch, and common machine learning frameworks.

What We Offer

• Competitive base salary with an uncapped commission structure.
• Opportunity to work with state-of-the-art quantum computing technology.
• High-growth startup environment with ample opportunities for career advancement.
• Collaborative and innovation-driven organizational culture.
• Exposure to global enterprise customers and emerging technology markets.
• Chance to work alongside world-class quantum computing experts.