**Introduction** A Technology Sales Engineer role (what we internally call a, 'Brand Technical Specialist') within IBM's Data & AI brand means accelerating enterprises' success by improving their ability to understand their data. It means providing solutions that enable people across organizations, in multiple roles, the ability to turn data into actionable insights without having to wait for IT. And it means selling multi-award winning software, and world-class design practices that enables business analysts to ask new questions. The answers to which are literally shaping the future and changing the world. Excellent onboarding and an industry leading learning culture will set you up for positive impact and success, whilst ongoing development will advance your career through an upward trajectory. Our sales environment is collaborative and experiential. Part of a team, you'll be surrounded by bright minds and keen co-creators - always willing to help and be helped - as you apply passion to work that will compel our clients to invest in IBM's products and services. **Your role and responsibilities** '- Present IBM's technology and vision to executives and technical contributors at both prospects and customers. - Work directly with prospects and customers to demonstrate and communicate the value of IBM technology throughout the sales cycle, from demonstration to proof of concept, design, and implementation. - Stay immersed in the ever-evolving industry by maintaining a deep understanding of competitive and complementary technologies and vendors, and learn how to effectively position IBM in relation to them. - Collaborate with Product Management, Engineering, and Marketing teams to continuously enhance IBM products and marketing efforts. **Required technical and professional expertise** 5 to 6 years of industry experience, including at least 4 years in a pre-sales environment. - Excellent presentation skills for both technical and executive audiences, whether spontaneously on a whiteboard or through structured presentations and demonstrations. - Extensive experience with large-scale database and data warehouse technologies,Datalake, Lakehouse as well as ETL, analytics, and cloud technologies (e.g., Data Lake, Data Mesh, Data Fabric). - Proficient in SQL, SQL analytics, and Python. - Significant experience in the Singapore Market. - Ability to align a customer’s specific business challenges with IBM solutions. - Skilled in conducting in-depth discovery of a customer’s architectural framework and relating it to IBM Data Architecture. - A university degree in computer science, engineering, mathematics, or a related field is preferred; a master’s in Data Science or Business Administration is a plus.. IBM is committed to creating a diverse environment and is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, caste, genetics, pregnancy, disability, neurodivergence, age, veteran status, or other characteristics. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.