Red Hat

• Primarily provides pre-sales technical support for the development and implementation of complex products/applications/solutions. • Uses in-depth product knowledge to provide technical expertise to sales staff and the customer through sales presentations and product demonstrations. • Assists the sales staff in assessing potential application of company products to meet customer needs and may prepare detailed product specifications for the development and implementation of customer products/applications/solutions. • May create detailed design and implementation specifications for complex products/applications/solutions. • May build a mini-application based on customer requirements to demonstrate feasibility of the application, often requiring rapid prototyping and/or product demo for client. • May provide consultation to prospective users and/or product capability assessment and validation.

• Engage in pre-sales activities, including customer discovery sessions, workshops, and solution design • Partner with Sales and Account teams to shape opportunities, define scope, and build compelling technical proposals • Support RFP/RFI responses and present AI solutions to technical and executive stakeholders • Assess customer AI, data, and infrastructure environments and propose scalable architectures • Design and implement enterprise AI platforms based on Red Hat OpenShift AI and Red Hat OpenShift • Lead MLOps adoption initiatives, including model lifecycle management, deployment automation, monitoring, and governance • Architect solutions for model training, fine-tuning, serving, and inference at scale • Support customers in deploying and operationalizing Generative AI and Large Language Model (LLM) workloads • Provide technical leadership during delivery, ensuring alignment with architectural best practices • Act as a trusted advisor to customers and partners, helping define AI and platform roadmaps • Collaborate with Product Engineering, Consulting, and Support teams to deliver high-quality solutions • Drive adoption of MLOps, DevOps, automation, and Infrastructure as Code (IaC) practices • Contribute to internal knowledge sharing, reusable assets, and best practices

• Deploy pipelines and infrastructure in both proof of concept (POC) and production form to support the Customer Data Platform initiatives. • Partner with internal and external stakeholders to support combinations of platforms and infrastructure across the organization. • Work with analysts and their data sets in SQL, Python, R to optimize and troubleshoot ways to ingest into Red Hat’s Customer Data Platform. • Develop data pipelines from disparate data sources to support both the analysis and activation of contact acquisition, engagement, and retention programs via Red Hat’s Customer Data Platform. • Develop data sets across data lakes like Amazon Web Services (AWS), Red Shift, Starburst, Snowflake. • Collaborate with the Sales and Marketing teams to build nimble audience segments, data requirements gathering, and support questions for audience segmentation. • Maintain knowledge of data elements and Adobe Experience Platform in the maintenance and definition of segment, event and attribute rule sets. • Coordinate with the Marketing Technology & Operations team members on development tasks. • Collaborate across the Red Hat System of Sites to enable digital activation throughout the customer lifecycle. • Consult with business owners establishing and improving KPIs within Customer Experience.

• Facilitate end-to-end planning, design, and deployment of new solutions • Analyze and guide maintenance and improvement to performance of existing solutions • Secure formal alignment with key stakeholders to define project boundaries • Convey new technology innovation requirements to internal teams • Produce advanced presentations and technical documentation

• Use product outlines and requirements to develop core code, tests, and a release for the application(s) being worked on. • Follow the work from inception to delivery, ensure it is vetted and deployed properly, and be responsible for necessary bug fixes and enhancements afterwards. • Run discovery, run development, ensure testing, and deliver a fix where applicable for any bug or issue in coding. • Create a path forward based on a set of given requirements and discussions with the customer/end users. • Collaborate with other teams on status of enhancements, ensuring timeliness and accuracy for integration with our systems. • Meet with other teams and project stakeholders to discover limitations of application abilities as well as project limitation requirements while limiting our resource usage. • Give status and reports to both management and stakeholders about project work and any delays or blockers. • Work with other teams to onboard them into Red Hat applications. • Pull details of used resources and generate reports based on availability, requirements and time cost to determine the best path forward as well as recommend actions to enhance applications performance on a given system. • Build out and run projects within the technical team including directing other developers and providing key updates to stakeholders and management while keeping the project timeline on track.

• Build data science solutions for business challenges including customer propensity, product forecasting, and recommender systems. • Use machine learning, data mining, and statistical methods to distill meaningful insights from large, complex dataset. • Participate in end-to-end development, from requirements gathering to validation and implementation. • Work closely with data engineering and ML Ops functional roles to operationalize data science solutions through automation and continuous delivery. • Implement monitoring for data science solutions to identify model degradation, data drift, and concept drift, and ensuring that the model is maintaining an acceptable level of performance. • Directly engage with key decision makers across the business to iterate, test, and deliver solutions that improve the way we operate.

• Control project requirements, scope, and change management issues • Determine, monitor, and review all project economics to include costs, operational budgets, staffing requirements, resources, and risk • Ensure adherence to legally binding requirements • Facilitate development of recommended project control solutions to be used for planning, scheduling, and tracking projects through integration of various project management tools • Manage project forecast projections to both client and internally within Red Hat • Plan, schedule, monitor, and report on activities related to the project, including subcontractor monitoring • Establish appropriate metrics for measuring key project criteria • Develop project status reports • Lead status review meetings among project team members and clients • Integrate and use specific industry PM and technical delivery methodologies (e.g. PM methodologies based on Agile, Waterfall, Systems/Software Development, Product Development)

• Partner Recruitment: Recruit and gain formal commitment from new ISVs to join the Red Hat partner program. • Technical Co-Creation: Lead the development of technical assets—such as certifications, validations, OpenShift operators, or Ansible collections—aligned with core sales plays like AI readiness, virtualization, and automation. • Success Planning: Build comprehensive success plans for joint offerings, incorporating business cases, Joint Value Propositions (JVPs), certification timelines, and proposed GTM strategies. • Solution Launch: Package product integrations and commercial assets (demos, solution briefs, ROI calculators) into repeatable sales tactics and successfully launch new solutions across the organization and through indirect routes to market. • Field Enablement & Tracking: Enable sales and partner teams with newly launched, validated solutions and track revenue impact using deal registration tracking mechanisms.

• Collaborate with the Sales team to define and promote the adoption of emerging technologies across key accounts. • Engage with customers to assess their business objectives and technical requirements, aligning them with Red Hat’s solutions. • Orchestrate the entire sales cycle—from initial qualification to procurement—for Red Hat’s cloud and emerging technology offerings. • Guide enterprises through their agile and cloud transformation initiatives, positioning Red Hat’s platform as the foundational element for innovation. • Cultivate trusted advisor relationships with senior IT and business leaders to foster enduring partnerships. • Establish Red Hat OpenShift as the platform of choice for strategic customers. • Drive revenue growth by consistently meeting and exceeding sales targets for the assigned segment. • Develop and execute Go-To-Market (GTM) strategies to identify new opportunities and expand existing accounts. • Advocate for OpenShift solutions to both technical teams (developers, IT administrators) and C-level executives. • Collaborate with Sales, Partners, and Solution Architects to develop customized customer proposals. • Partner with Marketing & Channels to enhance demand generation and accelerate pipeline development. • Provide market insights to inform Red Hat’s product strategy and roadmap.

• Lead strategic medium- and large-scale projects from initiation through closure. • Define project scope, objectives, timelines, budget, and deliverables. • Manage internal and external stakeholders, including executive leadership. • Develop and maintain detailed project plans. • Identify, analyze, and mitigate risks. • Monitor KPIs and ensure adherence to timelines and budget. • Coordinate cross-functional teams (technology, product, operations, etc.). • Ensure clear and consistent communication among all stakeholders. • Implement best practices and project management methodologies (Agile, Waterfall, or hybrid). • Resolve conflicts and remove project impediments. • Provide executive status updates and performance metrics reporting.