Full Job Description

About the job

The OpenShift Sales Specialist for AI (AI SSP) assumes a pivotal role in providing expert sales support for the seamless execution of Go-To-Market (GTM) strategies related to Red Hat OpenShift AI (RHOAI) in APAC. This role involves leveraging AI strategically to help our customers make the most of their unique data, giving them a competitive edge. It includes tasks like training, building, and managing AI models to achieve significant business outcomes. The successful candidate must possess a unique blend of domain expertise, adept relationship management, and technical prowess to bolster sales initiatives effectively.

The ideal candidate will boast a track record of leadership in steering successful AI initiatives within enterprise settings, whether through direct sales, ownership as a product lead/technical expert, or engagement in consulting projects. Demonstrating the ability to usher these initiatives into production while showcasing tangible business value and outcomes is paramount. This remote role assumes GEO-level ownership, encompassing both business and technical responsibilities.

The role necessitates a diverse set of customer-facing skills, spanning interactions with data scientists, developers, and professionals to C-suite executives. Engaging in evangelism conversations and activities is a key facet of this position. A significant portion of the role involves consulting on GTM strategies with Product Business Units and providing mentorship in the execution of winning sales plays in collaboration with Cloud Service Providers, SIs, and third-party Independent Software Vendors (ISVs).

Establishing and nurturing relationships with System Integrators (SI)/Regional SIs, Cloud Service Provider account teams, and key executives is integral to the role. These connections play a pivotal role in collaborative selling efforts and contribute to the development of a robust AI partner ecosystem. Proactively managing and expanding these relationships is a requirement.

The foundational expertise of the candidate is instrumental in facilitating and expediting GTM execution drawn from firsthand experience in navigating the challenges of implementing AI within enterprises. This relatable, experiential knowledge enables this individual to propose credible Red Hat solutions tailored to address customer challenges. As the center of gravity for our RHOAI GTM, the incumbent should feel at ease articulating a narrative centered around AI delivery, grounded in prior experiences. This role may carry a Team Lead designation.

What you will do

Consult on and enable successful execution of RHOAI GTM
Be the virtual leader for in GEO RHOAI sales tactics
Educate customers and stakeholders alike on the value of Red Hat’s RHOAI solution
Lead and enable on hyper-competitive sales situations for RHOAI
Be a geo-level bi-directional conduit of GTM for RHOAI between sales, P&GE, marketing, enablement, customer success, and SRE/CEE
Work closely with AI business unit and engineering teams by providing feedback and identifying gaps in the offering
Build lasting relationships with cloud providers, ISVs, and other 3rd parties for joint GTM
Interface with regional sales leadership for account planning and GTM

What you will bring

Computer Science or other technical degree w/ MBA
Previous experience as a sales engineer, technical sales, or similar role (preferably Technical and/or Sales role experience working directly for hyperscalers or in partner ecosystem)
5+ years of Data Science/AI application development experience, including leadership roles
2+ years of consulting experience with major SI
Product management or ownership role
Extensive community brand in circles such as AI User Group or other AI Communities
Ability to facilitate demonstrations of Red Hat AI solutions and products and cloud services unassisted
Industry vertical experience with Data Science projects. IE - expertise in FSI, medical, defense, and intelligence verticals
Recognized thought leadership in AI/MLOps
Subject matter expertise and experience in AI applications (e.g., deep learning, LLM, NLP, computer vision, or pattern recognition).
Experience in statistical programming language (e.g., Python), applied machine learning techniques, and using OSS frameworks (e.g., TensorFlow, PyTorch).
Experience with CI/CD solutions in the context of MLOps and LLMOps including automation with Infrastructure as Code (IaC) solutions (e.g. Ansible).
Experience delivering technical presentations and leading business value sessions.
Experience in AI systems design, with the ability to architect and explain data pipelines, ML pipelines, and ML training and serving approaches.
Executive presence with public speaking skills
Expert Practitioner of the Challenger Sales Model
Entrepreneurial mindset

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