Technology Sales Engineer - Data AI/MLOps

IBM • Milwaukee, WI • 1w ago

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

As a Brand Technical Specialist you'll work 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:

Provide technical sales support for key programs and select client engagements during the pre-sales and post-sales process to remove technical inhibitors to opportunities

Utilize technical experts for orchestration of viable client solutions and accelerators, leveraging current capabilities and offerings while providing input to product teams for solutions refinement in support of the business unit

Work in close collaboration with technical teams and IBM business units in development of winning client solutions

Work across various territories and leverage industry experts within IBM markets

Be the go-to resource to the business unit technical sales teams when expertise may be needed in developing the architecture, executing garage engagements and in co-creation customer engagements

Key attributes of successful candidates include:

Experience working on Gen AI projects including Retrieval Augmented Generation (RAG), Agentic AI workflows and AI empowered Code Assistants

Ability to anticipate, create and define innovative and visionary concepts in strategic environments

Demonstrated ability to work in complex, matrix managed organizational environment where collaboration and effective communication is essential to success

Demonstrated level of business acumen coupled with technical expertise

Strong operational and project management skills * Commercially minded and understands the end-to-end sales engagements with a strong sense of ownership, execution, and focus on client success

Required technical and professional expertise

Experience with Agentic frameworks (LangChain, LangGraph, CrewAI etc)

Experience with AI based Code Assistant tools * Minimum of 3 years of previous experience in a Technical Sales/Solution Consultant/Sales Engineer role or experience working as a data scientist or AI Engineer

Proficiency in a data science programming language such as Python or R

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

Ability to build and maintain positive business relationships with peers and clients

Preferred technical and professional experience

Experience with IBM Data products (watsonx.ai, watsonx Orchestrate, watsonx Assistant, Cloud Pak for Business Automation, Blueworks Live)

Competitive product experience a plus (Microsoft Copilot, Github Copilot, Cursor, etc.)

Data & AI Market Knowledge: Expertise in the Data & AI market to quickly become a trusted client advisor

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.

IBM

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