Technology Sales Engineer- Data and AI

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 will 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

• Client Strategy Design: Creating client strategies for Data & AI infrastructure.
• Solution Definition: Defining IBM Data & AI solutions that enhance technology stacks.
• Educational Support: Providing proof of concepts and simplifying complex topics to educate clients.
• Credibility Building: Establishing credibility and trust to facilitate the closure of intricate Cloud tech deals.

Required Technical and Professional Expertise

• Previous experience in a Technical Sales/Solution Consultant/Sales Engineer role
• Experience working with the sales lifecycle and driving customer outcomes.
• Excellent interpersonal and communication (oral and written) skills at all levels of an organization.
• Driven and initiative-taking with an entrepreneurial spirit and a commitment to excellence in everything they do.
• Ability to build and maintain positive business relationships with peers and clients.

Preferred Technical and Professional Expertise

• Experience with IBM Data Science and Governance solutions (DataStage InfoSphere Data Replication Watson Knowledge Catalog MDM Cloud Pak for Data etc.).
• Experience with IBM Hybrid Data Management solutions (IBM DB2 Family Cloudera Netezza Performance Server etc.).
• Competitive product experience a plus (Microsoft Snowflake AWS and Oracle)
• Experience in SaaS / Cloud technologies.