DATA AND AI TECHNOLOGY SALES ENGINEER

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 and extract value from it.
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, using diferent approaches with artificial inteligence at the core.
It means selling multi-award winning software, and world-class design practices that enables business analysts to ask new questions and use artificial Inteligence to transform work and the business.
This 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 Understand the client's business requirements, technical requirements and/or competitive landscape.
Apply your business insights, build and maintain client relationships, software and services into client-valued solutions and ensure client readiness for the implementation of technical solutions.
Create high-quality solutions that make meaningful impacts and provide insights to optimize initiatives and opportunities around the areas of integration, governance, quality, hybrid data management, and artificial intelligence.
Deploy and coordinate your insight with most valueable software and people to meet our customers' criteria for success.
Help to transform our clients’ data into tangible business value by analyzing information, communicating outcomes and collaborating on product development.
Work with Best in Class software, open source and visual tools, along with the most flexible and scalable deployment options.
Whether it’s investigating patient trends or weather patterns, you will work to solve real world problems for the industries transforming how we live.
This is an opportunity improve your career getting value from differents industries, meet smart people, work in a great team and shape the future for both IBM and its clients.
Start your journey now! Required Technical and Professional Expertise We are looking for a person with 3-5 years of experience in Hybrid Data Management and/or Data Governance solutions preferably with experience in diferent industries, specially banking, telco and utilities, with an apettite to hands-on with technology.
Good knowledge on integration, governance, quality, hybrid data management and artificial intelligence disciplines, or at least in 3 or those.
Know-how on IBM solutions is an added plus.
Hability to improve processes, integrations and security from development to production time, sucessfull requirements gathering and definition of achievable success criteria.
Composition and fulfillment of documentation on requests for information and proposals.
Spanish and English fluent is a must Good skills in some of the following disciplines / technologies.
# Experience in platform management and maintenance, focused on critical tasks such as.
Design, Operation, Coordination, and Monitoring # Expertise in technologies like.
* Data Stack Db2, Mongo, watsonx.
ata, Cloudera, Databricks, Snowflake, Google Bigquery, AWS Data Stack, OCP, Virtualization * Integration ETL/ELT solutions, Quality analysis tools, and Security patterns * Data Governance stack Data governance frameworks (like for example Colibra, Informatica), Lineage tools, Business Intelligence solutions * Open Source Presto, Spark and Notebooks * Languages Python, Java, and Bash * Artificial Intelligence Traditional and Generative AI, model lifecycle governance, tunning, monitoring.
Soft skills.
* Adaptability to change.
* Good communicator and speaker.
* Enthusiast of agile methodologies.
* Focus on optimization and collaboration.
* Efficient and effective success.
* B2 or higher level in English.
Preferred Technical and Professional Expertise.