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.
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. You will be supporting sales with technical activities related to IBM Data & AI portfolio across industries. It includes understanding customer requirements (known and unknown), designing an appropriate fit-for-purpose solution, doing necessary demos/ Proof of Concepts (PoCs), detailing the bill of material, presenting business benefits and ensuring a grasp of Compete when it comes to the proposed solution offering. 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. Client Experience and Tech advice: Providing proof of experiences and simplifying complex topics to educate clients (demos, workshops, proof of concepts, architecture discussions). Client Management and Value Definition: Effectively manage client relationships, define IBM’s value proposition, and engage key decision-makers. Sales Process Management and Collaboration: Oversee the entire sales process, with a focus on expanding new business opportunities, and collaborate closely with various IBM teams.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. You will be supporting sales with technical activities related to IBM Data & AI portfolio across industries. It includes understanding customer requirements (known and unknown), designing an appropriate fit-for-purpose solution, doing necessary demos/ Proof of Concepts (PoCs), detailing the bill of material, presenting business benefits and ensuring a grasp of Compete when it comes to the proposed solution offering.
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.Client Experience and Tech advice: Providing proof of experiences and simplifying complex topics to educate clients (demos, workshops, proof of concepts, architecture discussions).
Client Management and Value Definition: Effectively manage client relationships, define IBM’s value proposition, and engage key decision-makers.
Sales Process Management and Collaboration: Oversee the entire sales process, with a focus on expanding new business opportunities, and collaborate closely with various IBM teams.
Familiarity with Business Infrastructure concepts and technologies (Machine Learning, AI/GenAI, Machine Learning, Data Fabric, Data Governance, Data Integration, ETL, Structured and Non-Structured Databases, Data Warehouse, Data Lake, Lakehouse, Hybrid Cloud) Excellent Communication Skills: Possess verbal, written, and interpersonal skills that are engaging, compelling and influential. Presentation skills: Ability to present clear concepts, simplify complex concepts and adapt to different audiences. Client Focused: Asks open-ended questions and understands needs to address business challenges. Tech Savvy: Conversant about technology, latest industry trends and how it is being applied to address business challenges. Team Player: Demonstrates team collaboration and can navigate different communication styles. Self-Starter: Motivated to work with clients and can lead projects independently.
Three+ years of related experience Practical experience in the software industry preferably in Data Science, Data Engineering, DBA. Programming and DevOps experience is a plus Tech Sales Success: Demonstrated success in technology sales.Three+ years of related experiencePractical experience in the software industry preferably in Data Science, Data Engineering, DBA.Programming and DevOps experience is a plusTech Sales Success: Demonstrated success in technology sales.