
10,000+ employees
Founded 1993
🏢 Enterprise
💰 Corporate Round on 1999-03
Enterprise • Cloud
Red Hat is a leading provider of enterprise open source software solutions, helping companies worldwide to build and deploy applications across hybrid cloud infrastructures. With a strong focus on developing secure, stable, and innovative technologies, Red Hat offers a broad portfolio including products like Red Hat Enterprise Linux, Red Hat OpenShift, and Red Hat Ansible Automation Platform. These products support IT services on any infrastructure efficiently. Trusted by more than 90% of the U. S. Fortune 500, Red Hat empowers organizations to modernize their IT environments, leveraging open source communities to drive technological advancement.
🔥 0 minutes ago
🏄 California, Oregon, +1 more states – Remote
💵 $172k - $275.4k / year
⏰ Full Time
🟠 Senior
💻 Solutions Engineer
🦅 H1B Visa Sponsor
👻 Ghost score 0%
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10,000+ employees
Founded 1993
🏢 Enterprise
💰 Corporate Round on 1999-03
Enterprise • Cloud
Red Hat is a leading provider of enterprise open source software solutions, helping companies worldwide to build and deploy applications across hybrid cloud infrastructures. With a strong focus on developing secure, stable, and innovative technologies, Red Hat offers a broad portfolio including products like Red Hat Enterprise Linux, Red Hat OpenShift, and Red Hat Ansible Automation Platform. These products support IT services on any infrastructure efficiently. Trusted by more than 90% of the U. S. Fortune 500, Red Hat empowers organizations to modernize their IT environments, leveraging open source communities to drive technological advancement.
• Provide expert deep technical sales support for Red Hat AI go-to-market strategies across North American customer accounts • Remove organizational, technical, and competitive adoption blockers to position Red Hat AI as the preferred AI platform • Help customers train, build, and manage applications using proprietary data and AI models • Articulate Red Hat’s value proposition to leadership, data scientists, developers, and IT teams • Conduct technical architecture walk-throughs, business-value conversations, customer-facing technical workshops, and implement AI systems best practices • Collaborate with the AI business unit and engineering to test, document, and demonstrate cutting-edge features • Work with Red Hat sales, Customer Success, Consulting Services, and partner teams to deliver a positive customer experience • Identify customer challenges and blockers with Account Executives, Sales Specialists, and Solution Architects • Plan, design, and execute AI systems, including data pipelines, ML pipelines, and ML training and serving approaches • Facilitate pre- and post-sales technical deep dives, proofs of concept, bake-offs, internal sprints, hackathons, and partner AI solutions • Partner with AI customer stakeholders and advocate across customer teams • Provide market feedback to AI business unit and engineering teams • Execute community outreach and customer advocacy activities, including conference speaking and blog posts
• 4+ years of hands-on experience architecting, deploying, and managing production-grade containerized environments • Deep technical expertise in Kubernetes • Solid understanding of cluster operations, software-defined networking, persistent storage, and cluster security • Experience configuring, optimizing, and scheduling containerized workloads on Kubernetes • Experience with specialized hardware resource management, such as GPU scheduling, NVIDIA Operators, or Multi-Instance GPU configuration • Practical experience in machine learning use case development, including building AI applications such as deep learning, LLM/RAG, NLP, computer vision, or pattern recognition • Practical experience with a statistical programming language such as Python • Applied machine learning techniques and OSS frameworks such as TensorFlow and PyTorch • Experience designing AI systems and architecting data pipelines, ML pipelines, and ML training and serving approaches • Experience with CI/CD solutions in MLOps and LLMOps, including Infrastructure as Code solutions such as Ansible • Experience delivering technical presentations and leading business value sessions • Executive presence with public speaking skills • Computer Science or similar degree is nice to have, not required • Previous sales engineering, technical sales, implementation consulting, machine learning operations, or industry vertical experience is nice to have
• Comprehensive medical, dental, and vision coverage • Flexible Spending Account - healthcare and dependent care • Health Savings Account - high deductible medical plan • Retirement 401(k) with employer match • Paid time off and holidays • Paid parental leave plans for all new parents • Leave benefits including disability, paid family medical leave, and paid military leave • Employee stock purchase plan • Family planning reimbursement • Tuition reimbursement • Transportation expense account • Employee assistance program
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