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.
