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Technology Sales Engineer - Data Platform, AI/ML…
- IBM (Austin, TX)
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Introduction
IBM offers a world-class public cloud. But what sets us and your career apart is our approach to hybrid cloud.
A Technology Sales Engineer role in IBM Cloud means a career where you're leading prospective clients towards benefiting from using IBM Cloud Paks and Red Hat OpenShift products. It means you'll be directly impacting their adoption of next-generation hybrid cloud platforms to develop, run and manage workloads of some of the world’s most influential enterprises and brands.
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
As a Brand Technical Specialist you’ll be the go-to subject matter expert, collaborating with colleagues across the wider Sales team - advising and supporting on client engagements throughout the entire sales process.
Your primary responsibilities will include:
* Client Strategy Development: Develop client strategies for IBM Cloud infrastructure and applications.
* Solution Definition: Define compatible IBM Cloud solutions.
* Proof of Concept Creation: Provide proof of concepts and simplify complex technical concepts for client understanding.
* Stakeholder Relationship Building: Build credibility and trust with stakeholders to facilitate the closing of complex Cloud technology deals.
Required technical and professional expertise
Three or more years of experience in the following:
* Expertise with IBM’s suite of Data Science AI offerings including those supporting Machine Learning and Generative AI. The individual offerings can be from any of IBM’s legacy offerings in this space, such as IBM Cloud Pak for Data, but importantly must include deep expertise with watsonx.ai as well and watsonx.governance.
* Expertise in delivering informational presentations and demonstrations on IBM’s Data Science AI offerings to audiences of expert data scientists and leaders of business.
* Expertise in planning, facilitation and delivery of hands-on-workshops on IBM’s Data Science AI offerings.
* Being a technical lead and expert practitioner on custom Proof of Concept consultative engagements for projects utilizing IBM’s Data Science AI offerings. This experience should include the developing of custom content to supports a variety of projects across different use cases and industries.
* Proven public speaking and presentation skills across a variety of audiences including business leadership and data science practitioners. Experience in delivering content across a variety of mediums including in-person, virtual and hybrid.
* Strong business skills to manage a territory of clients across a portfolio of IBM offerings.
Preferred technical and professional experience
* Experience with IBM technology outside of the Data Science AI offerings. This would include experience with IBM’s data fabric offerings such as watsonx.data and IBM Knowledge Catalog, IBM’s Business Analytics offerings, or other complementary offerings within or outside the IBM Data Platform
* Achieved Data Science Certifications either from IBM or third-party organizations.
* Second degree in Business Management - this would include education on complementary skills such as finance, marketing and economics. This experience can be applied to helping drive IBM’s Data Science portfolio of business that this candidate would have to support.
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.
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