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 looking to leverage AI to 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 cloud platforms.

Vision & Mission

Keepler elevates human potential through data.

The 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 technical background to drive sales success by providing technical leadership throughout the pre-sales process.

It involves acting as a trusted advisor to the sales team and clients, translating complex technical concepts into tangible business value, and designing and presenting tailored data science solutions.

The role includes conducting needs assessments, competitive analysis, and identifying emerging trends to drive innovation.

It also collaborates with sales, technical teams, and product teams, builds client relationships, and empowers the sales team through training and documentation.

Technical Understanding

The candidate should have a deep understanding of data science concepts like machine learning, AI, and Generative AI, with knowledge of big data and analytics.

Familiarity with data science tools and technologies such as Pandas, ML models, and MLFlow is essential for engaging in technical discussions and assessing client ecosystems.

Experience analyzing data, identifying trends, and demonstrating ROI of data science investments is required.

Strong technical consulting skills are necessary to lead data assessment workshops and translate business challenges into data science strategies.

Excellent presentation and communication skills are needed to convey complex concepts clearly and persuasively to diverse audiences.

The role is business solution-oriented, focusing on understanding client needs and applying data science to improve efficiency, productivity, and profitability.

Problem-solving, analytical skills, and the ability to identify and qualify leads are important.

A genuine passion for technology and data is also essential.