Technical Sales Engineer- Data and AI Information Architecture

Job description

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

As a Brand Technical Specialist, you will collaborate closely with clients to develop relationships, understand their needs, earn their trust, and show them how IBM's industry leading solutions will solve their problems whilst delivering value to their business.
·  Your primary responsibilities will include:
·  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

·  Multiple years of experience in a Technical Sales/Solution Consultant/Sales Engineer role
·  Knowledge of databases (SQL, DB2, SQL Server, PostgreSQL, MySQL, MongoDB, Oracle, etc.)
·  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 self-motivated with an entrepreneurial spirit and a commitment to excellence in everything they do and the ability to build and maintain positive business relationships with peers and clients.

Preferred Technical and Professional Expertise

·  Experience with IBM Data Management solutions (IBM DB2 Family, Cloudera, Netezza Performance Server, etc.).
·  Competitive product experience a plus (Microsoft, Snowflake, AWS, and Oracle)
·  Experience with Data Science and Governance solutions.