Red Hat

Sales

• Conduct discovery sessions with sales, marketing, and enablement leadership to identify and prioritize revenue enablement use cases.
• Translate business priorities into effective Seismic solutions.
• Identify opportunities to enhance: content discovery, guided selling, seller productivity, and buyer engagement.
• Ensure Seismic initiatives are aligned with revenue and sales performance goals.
• Design scalable Seismic solutions that are consistent with business workflows and seller-centric user experiences.
• Build and implement solutions directly within Seismic, including: LiveSend experiences, digital sales rooms, workspaces, content libraries, pages, guided selling structures, and just-in-time lessons.
• Utilize Seismic data and insights to assess adoption and measure business impact.
• Develop and execute comprehensive adoption strategies for new Seismic capabilities.
• Continuously optimize Seismic solutions based on feedback, data analysis, and evolving business needs.
• Identify opportunities for improvement in seller workflows and user experiences.

Enablement Manager

Full-stack Engineer

• Lead the research and implementation of advanced algorithms and tools for NLP/GenAI tasks.
• Drive the development of next-generation AI/ML applications in a highly collaborative environment.
• Oversee the design, implementation, and delivery of AI solutions.
• Ensure the successful training and evaluation of NLP models, refining them based on statistical analysis.
• Collaborate with cross-functional teams, including finance, operations, sales, and marketing, to understand and meet business needs.

Principal Software Engineer – AI

Technical Writer

• Work closely with content strategists, documentation program managers, engineering project teams, support teams, and other stakeholders to create and maintain high-quality documentation
• Prioritize and deliver customer-focused documentation aligned to established processes
• Provide feedback to other technical writers to improve the quality and consistency of our content
• Work with quality engineering (QE) and development to improve the accuracy of your documentation
• Address customer feedback, and promote continuous improvement of the documentation experience
• Contribute to the achievement of team goals through completion of tasks
• Learn to use our internal documentation toolchain, including the publishing platform and issue tracking tools
• Keep up to date on changes to our offerings, customer use cases, support issues, and business strategy
• Devote time to research and increase your understanding of your product area, including related trends and topics in artificial intelligence (AI), machine learning (ML), and machine learning operations (MLOps)
• Engage with upstream communities to support upstream documentation and process improvements
• Demonstrate proficiency in utilizing LLMs (e.g., Google Gemini) for tasks such as deep research, summarizing complex technical information, drafting communications, and enhancing problem-solving efficiency across the documentation lifecycle
• Explore and experiment with emerging AI technologies relevant to technical writing.

Technical Writer II

Product Manager

• Develop and communicate a compelling multi-year strategy for the Hybrid Cloud Console and Subscription Experience, positioning the console as the central operational interface for Red Hat’s hybrid cloud services
• Synthesize insights from customers, partners, telemetry, and field teams to identify key market opportunities and translate them into clear product strategies, roadmaps, and measurable outcomes
• Work across multiple business units, engineering teams, and go-to-market organizations to ensure a consistent, unified customer experience across Red Hat’s hybrid cloud offerings
• Guide the development of incremental, high-impact capabilities delivered on a predictable cadence, ensuring the platform evolves rapidly while maintaining a high bar for quality and usability
• Manage and mentor a team of Product Managers, setting clear expectations, fostering accountability, and supporting their professional growth
• Act as a visible thought leader and spokesperson for the platform through customer engagements, partner enablement, technical blogs, and presentations at industry events and conferences
• Travel as needed to meet with customers, gather feedback, and ensure our roadmap reflects real-world operational needs

Senior Manager, Product Management – Hybrid Cloud Console & Subscription Experience

• Take a leadership role in a cross-functional group by defining priorities, ensuring alignment with stakeholders, and driving execution for GPU, Accelerators and AI components.
• Act as the primary point of contact between Product Management, Engineering, and similar roles to ensure alignment on priorities and deliverables.
• Work with the development team to split features and epics into stories or tasks.
• Define Acceptance Criteria and ensure that the team understands the “what” to work on.
• Communicate product goals effectively to ensure the team can work autonomously and remain unblocked.
• Provide key information such as delivery plans by acting as an information radiator to the teams and stakeholders.
• Proactively monitor community related (upstream) and product and services related (downstream) communication channels and act as a voice for the team.
• Engage in and ensure effective on-going communication between customers, customer facing teams, and stakeholders and the engineering teams to allow for continuous feedback and improvement.

AI Product Owner, GPU/Accelerators

Machine Learning Engineer

• Architect, design, document, and develop applications in Python and frameworks like LangChain, LangGraph, LLamaStack.
• Architect and lead the implementation of Agentic AI applications.
• Architect and lead the implementation of scalable open-source solutions with distributed computing capabilities using Machine Learning models, running on OpenShift AI
• Architect and design new features with RAG, RAFT, GraphRAG, InstructLab, and their pipelines
• Develop and optimize retrieval-augmented generation (RAG) pipelines
• Collaborate with product owners, program managers, different teams, and engineering managers to analyze and clarify business requirements to implement data models and business logic
• Mentor, influence, and coach a distributed team of engineers
• Effectively communicate to stakeholders and project team members to ensure proper visibility of development efforts
• Review code merge requests from other team members for new features
• Build and deploy applications to Red Hat OpenShift Platform-as-a-Service (PaaS), public clouds, i.e., Google Cloud Platform, AWS, etc.
• Ensure non-functional requirements, including performance, scalability, resiliency, maintainability, security, etc., are met according to defined standards
• Resolve bugs, performance problems, and other issues with production applications

Machine Learning Engineer – AI

• Architect and develop a platform for Agentic AI applications.
• Collaborate with Staff Engineers, Engineering, Product Management, and User Experience to define customer needs and use cases.
• Collaborate with Quality Engineers to develop and implement comprehensive unit, integration, and end-to-end tests to guarantee the reliability and performance in the upstream project, maintaining CI/CD workflows in GitHub, and ensuring downstream quality.
• Participate in AI-assisted code reviews, utilizing tools that provide real-time feedback, identify potential bugs, security vulnerabilities, and adherence to coding standards, contributing to a more thorough and efficient review process.
• Proactively utilize AI-assisted development tools (e.g., GitHub Copilot, Cursor, Claude Code) for code generation, auto-completion, and intelligent suggestions to accelerate development cycles and enhance code quality.
• Create and maintain clear, concise upstream technical documentation including API references and user guides and collaborating with our internal tech writers to create robust downstream documentation.

Senior Software Engineer – Agent Development

Customer Success Manager

• Assess the customer’s knowledge and adoption level of Red Hat’s products and overall cloud readiness to support customers through their journey to maximal value from Red Hat technology.
• Orchestrate customer success plans with discrete initiatives to achieve customers’ desired outcomes by involving technical execution teams (Launch Teams, Red Hat Services, and/or Partners).
• Identify opportunities for increased consumption, track monthly consumption against targets, identify and/or plan critical deployment timelines and milestones.
• Be the Voice of the Customer.
• Share insights and best practices, and connect with appropriate Red Hat teams.
• Involve the right resources to address and remove technical blockers to adoption.
• Work collaboratively with enterprise sales teams across a diverse account base on strategies for promoting adoption, account expansion and retention, and loyalty.
• Clearly and concisely explain Red Hat's business and technical value, our offerings and solutions, and how they address your customers’ strategic priorities.
• Support the sales team to ensure that financial targets are achieved, including subscriptions for Red Hat’s offerings.

Customer Success Executive

Consultant

• Guide customers in building scalable, optimally managed solutions and adaptable to technological improvements using Red Hat technologies
• Continuously learn, grow, and adapt to new skills and technologies
• Travel to client locations Monday-Thursday
• After joining Red Hat, you will undergo an intensive customized training program on Red Hat technologies and services solutions.
• Be prepared to join a project team by acquiring the understanding of how to build production-ready technical solutions integrated with existing enterprise systems
• Learn technologies and consulting skills through enablements designed and taught by Red Hat experts and Red Hat certification
• Gain exposure and collaboration within Red Hat Services & the larger organization through everyday networking and community events
• Be ready to support customer success on a project by achieving successful, collaborative delivery as a technical lead through expertise in Red Hat’s technologies
• Continue expanding your knowledge and network, both internal and external, through enablement, communities, customers, and meet-ups
• Demonstrate technical leadership by successfully implementing complex, large-scale solutions in customer environments
• Actively engage and share knowledge with internal and external communities of practice on lessons learned, best practices, and how-tos

Senior Consultant – TS/SCI, Polygraph Clearance

Manager

• Communicate Red Hat’s values and vision to the executive and management levels of customer organizations
• Successfully sell solutions and services in the field
• Develop new account areas of focus within the assigned account
• Represent Red Hat to customers, and customers to Red Hat, in sales-related matters
• Meet assigned sales quotas
• Work to develop and expand assigned account territory
• Lead a Sales team consisting of Solution Architects, Insides Sales Representatives, Consultants, Engagement Managers, and Red Hat’s senior management

Strategic Accounts Manager – Enterprise

AI Engineer

• Lead Lighthouse Implementations: Lead the technical delivery for critical, high-profile customer Proofs of Concept (POCs) and production pilots.
• Optimization & Architecture: Provide expert advice on inference sizing, configuration, and resource management.
• Field Enablement & Asset Creation: Enable field teams by turning lessons from customer engagements into reusable assets.
• Stakeholder Communication: Translate technical metrics into business value for technical teams and business stakeholders.
• Product Feedback Loop: Act as a liaison between the customer and the Product and Engineering teams, ensuring real-world feedback prioritization.

Forward Deployed AI Engineer, Customer Adoption, Innovation

• Design, develop, and maintain scalable, production-grade backend services and platform components within OpenShift AI
• Build and enhance Kubernetes-native systems for workload orchestration, deployment, and lifecycle management
• Contribute to open source communities such as KServe, Kubeflow, and Open Data Hub, with a focus on core platform capabilities
• Drive technical decision-making around system architecture, APIs, and service design to ensure scalability and reliability
• Implement robust CI/CD pipelines, testing frameworks, and observability practices to ensure high-quality software delivery
• Collaborate with cross-functional teams (product, SRE, and engineering) to translate requirements into technical solutions
• Troubleshoot and resolve complex issues in distributed systems and production environments
• Participate in code reviews, design discussions, and documentation to maintain high engineering standards
• Contribute to improving developer experience, tooling, and platform usability
• Mentor team members and promote best practices in software engineering and system design

Senior Software Engineer – Platform, OpenShift AI

Project Manager

• Plan and attend management meetings, manage the agenda setting, and maintain the actions register
• Create an annual schedule of internal meetings and plan for the year in advance, e.g., quarterly business reviews (QBRs) and sales meetings
• Plan and ensure quarterly performance review sessions for the Leader and management team
• Manage and track key projects and monitor deliverables on behalf of the Leaders - monitor; track and remind of impending deadlines
• Ensure that relevant meetings are being noted in the system
• Create business presentations from Leader’s ideas and notes for them to present during key customer or internal management meetings
• Arrange, attend, and be responsible for recording the minutes of quarterly management meetings; arrange QBRs
• Ensure the calendar is managed to maximize effective use of time and to allocate time to critical areas as needed
• Arrange relevant conference room bookings, hospitality, etc.
• Book all travel with schedules and supporting documents using appropriate Red Hat’s tools
• Collaborate with the Talent Acquisition (TA) team to ensure a positive candidate experience
• Manage expense reports and purchase orders using Red Hat’s tools

Executive Assistant, Project Coordinator

• 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
• Work with management on project proposals, bids, contracts, estimates, and schedules and contribute to project estimation process
• Plan, schedule, monitor, and report on activities related to the project, including subcontractor monitoring
• Establish appropriate metrics for measuring key project criteria
• Develop project control and reporting procedures and manage changes in operational plan
• Undertake 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, Red Hat Services Project Management Methodology, Systems/Software Development, Product Development)
• Assist in the training of the project team on application of appropriate procedures and motivate team members to accomplish project goals, meet established schedules and resolve technical and operational issues
• Maintain awareness on emerging technologies and Project Management techniques
• Travel to work alongside regional accounts and service provider partners in person

Analyst

• Establish Measurement Standards by creating and maintaining a standardized metrics dictionary
• Conduct Deep-Dive Diagnostic Analysis on large datasets
• Identify Explanatory Factors using correlation analysis and regression modeling
• Uncover Hidden Trends and Anomalies in data
• Quantify Scenario Impact through simulations or scenario analysis
• Drive Actionable Recommendations based on analytical insights
• Monitor Global Data & AI Regulation compliance