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 aiming to leverage AI and become data-driven. As a Full Stack Analytics provider focused on machine learning and big data solutions, Keepler helps businesses become data-centric by architecting, developing, maintaining, and operating Data Products based on AWS, Google, and Microsoft.

Vision & Mission

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

The Position

This role leverages data science expertise and a technical background to drive sales success by providing technical leadership throughout the pre-sales process. The individual will act as a trusted advisor to the sales team and potential clients, translating complex technical concepts into tangible business value, aligned 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 involves collaborating with sales, technical teams, and product teams, building client relationships, and empowering the sales team through training and documentation.

Technical Understanding

The candidate should have a deep understanding of data science concepts such as machine learning, artificial intelligence, and Generative AI, with additional knowledge of satellite data, big data, and analytics. They should be familiar with data science tools and technologies like Pandas, ML models, and MLFlow, enabling them to engage in technical discussions and assess client ecosystems. Experience analyzing data, identifying trends, and demonstrating ROI from data science investments is essential. Strong consulting skills are required to lead data assessment workshops and translate business challenges into actionable data strategies.

Sales Skills

The candidate must have strong presentation skills and the ability to communicate complex technical concepts clearly and persuasively to both technical and non-technical audiences. They should understand business processes and how data science can improve efficiency, productivity, and profitability. Problem-solving, analytical skills, and the ability to identify and qualify leads are crucial. A genuine passion for technology and data is also important.