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.
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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:
- 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 education
Bachelor's Degree
Preferred education
Master's Degree
Required technical and professional expertise
- Cutting-Edge Data Architecture (Lakehouse, Data Fabric) & Integration
- Engineer and optimize advanced data ecosystems that unify transactional and analytical workloads-leveraging Lakehouse concepts (e.g., Delta Lake, Databricks) to streamline data access.
- Adopt Data Fabric or Data Mesh approaches for seamless data discovery, governance, and orchestration across distributed environments.
- Deep ML & AI Expertise
- Own the end-to-end model lifecycle-from rapid prototyping in TensorFlow, or PyTorch to productionizing advanced AI techniques like NLP.
- Continuously explore new frameworks and methodologies, pioneering innovative solutions that push Data and AI boundaries.
- Proficiency in MLOps & Lifecycle Management
- Implement CI/CD pipelines with tools like MLflow or Kubeflow, ensuring automated model retraining, performance tracking, and timely updates.
- Enabling ML solutions to deliver consistent, measurable outcomes solutions.
- Hands-On Innovation & Consultative Solution Selling
- Rapidly build proofs-of-concept (POCs) to showcase real-world ROI, fueling stakeholder excitement and fast-tracking decisions.
- Translate complex data and AI capabilities into compelling, results-oriented narratives-guiding clients from initial discovery to successful implementation.
- Collaborate seamlessly with both technical and executive teams to ensure maximum ROI and enable transformative digital outcomes.
- Consultative Solution Selling & Impactful Storytelling
- Translate intricate data and AI capabilities into compelling business narratives, guiding clients from initial discovery to final buy-in.
- Collaborate seamlessly with technical, executive, and client teams, delivering maximum ROI and enabling successful digital transformations.
Preferred technical and professional experience
- Data Governance & Security Leadership
- Architect data solutions aligned with evolving regulations (GDPR, HIPAA, etc.), embedding robust governance into every layer of the data pipeline.
- Promote ethical data usage and proactive risk management, instilling trust and transparency across all stakeholders.
- Cloud & Infrastructure Mastery (Highly Valued Plus)
- Leverage AWS, Azure, or Google Cloud to build secure, scalable AI solutions; utilize microservices, Docker, and Kubernetes for agility and efficiency.
- Apply DevOps and DataOps best practices to accelerate deployments and optimize solution performance in production.
ABOUT BUSINESS UNIT
IBM has a global presence, operating in more than 175 countries with a broad-based geographic distribution of revenue. The company's Global Markets organization is a strategic sales business unit that manages IBM's global footprint, working closely with dedicated country-based operating units to serve clients locally. These country teams have client relationship managers who lead integrated teams of consultants, solution specialists and delivery professionals to enable clients' growth and innovation. By complementing local expertise with global experience and digital capabilities, IBM builds deep and broad-based client relationships. This local management focus fosters speed in supporting clients, addressing new markets and making investments in emerging opportunities. Additionally, the Global Markets organization serves clients with expertise in their industry as well as through the products and services that IBM and partners supply. IBM is also expanding its reach to new and existing clients through digital marketplaces.
YOUR LIFE @ IBM
In a world where technology never stands still, we understand that, dedication to our clients success, innovation that matters, and trust and personal responsibility in all our relationships, lives in what we do as IBMers as we strive to be the catalyst that makes the world work better.
Being an IBMer means you'll be able to learn and develop yourself and your career, you'll be encouraged to be courageous and experiment everyday, all whilst having continuous trust and support in an environment where everyone can thrive whatever their personal or professional background.
Our IBMers are growth minded, always staying curious, open to feedback and learning new information and skills to constantly transform themselves and our company. They are trusted to provide on-going feedback to help other IBMers grow, as well as collaborate with colleagues keeping in mind a team focused approach to include different perspectives to drive exceptional outcomes for our customers. The courage our IBMers have to make critical decisions everyday is essential to IBM becoming the catalyst for progress, always embracing challenges with resources they have to hand, a can-do attitude and always striving for an outcome focused approach within everything that they do.
Are you ready to be an IBMer?
ABOUT IBM
IBM's greatest invention is the IBMer. We believe that through the application of intelligence, reason and science, we can improve business, society and the human condition, bringing the power of an open hybrid cloud and AI strategy to life for our clients and partners around the world.
Restlessly reinventing since 1911, we are not only one of the largest corporate organizations in the world, we're also one of the biggest technology and consulting employers, with many of the Fortune 50 companies relying on the IBM Cloud to run their business.
At IBM, we pride ourselves on being an early adopter of artificial intelligence, quantum computing and blockchain. Now it's time for you to join us on our journey to being a responsible technology innovator and a force for good in the world.
OTHER RELEVANT JOB DETAILS
For additional information about location requirements, please discuss with the recruiter following submission of your application.