AI Tech Sales

Keepler is a cloud-native AI & data consultancy that partners with customers to co-create tailored digital data products and data platforms, integrating best practices in data governance, analytics, engineering, automation, and security to drive business value and intelligence into corporate processes.

Keepler provides end-to-end engineering, development, and implementation services to businesses seeking to leverage AI to become data-driven. As a Full Stack Analytics provider focused on machine learning & big data solutions, Keepler helps businesses architect, develop, maintain, and operate Data Products based on AWS, Google, and Microsoft.

Vision & Mission

Keepler elevates human potential through data. Our vision is to be the best in the world at bringing intelligence to people and companies, enabling them to become data-driven. Our mission is to make our customers more competitive, agile, and resilient by integrating data into corporate processes through data products.

The Position

This role leverages data science expertise and technical background to drive sales success by providing technical leadership throughout the pre-sales process. The candidate acts as a trusted advisor to our sales team and potential clients, translating complex technical concepts into tangible business value while aligning with Keepler's consulting approach. Responsibilities include designing and presenting tailored data science solutions, conducting needs assessments, competitive analysis, and identifying emerging trends to foster innovation. The role collaborates with sales, technical teams, and product teams, builds client relationships, and supports the sales team through training and documentation.

Technical Understanding

The candidate should possess a deep understanding of data science concepts such as machine learning, artificial intelligence, and Generative AI, with satellite knowledge in big data and analytics. They must comprehend technical details of data science solutions and articulate their value to clients. Familiarity with data science tools and technologies like Pandas, ML models, and MLFlow is essential. Experience analyzing data, identifying trends, and demonstrating ROI helps tailor solutions to client needs. Strong consulting skills are necessary to lead data assessment workshops and translate business challenges into actionable data strategies.

Sales Skills

Effective presentation skills and clear communication of value propositions are crucial. The candidate should be able to explain complex technical concepts to both technical and non-technical audiences convincingly. Business-oriented thinking is essential to understand processes and how data science can improve efficiency and profitability. Problem-solving, analytical skills, and the ability to identify and qualify leads based on client needs and budgets are important. A genuine passion for technology and data is also required.