We are looking for a highly motivated Sales Engineer with a strong background in AI infrastructure to join our dynamic team. In this role, you will play a critical part in driving enterprise sales, supporting both pre-sales and post-sales activities, and partnering closely with account executives to deliver cutting-edge solutions to our clients.
Key Responsibilities:
Leverage 10+ years of experience as a Sales Engineer to drive technical sales processes and customer success.
Sell AI-related infrastructure solutions to large and mid-sized enterprises, identifying client needs and aligning our solutions with their strategic goals.
Partner with Account Executives to enable account-based marketing and selling (ABM/ABS) strategies.
Operate as a self-starter, capable of working autonomously with minimal supervision in a fast-paced environment.
Support pre-sales activities including product demonstrations, proof-of-concepts, RFP responses, and technical deep dives.
Assist with post-sales enablement to ensure successful deployment and customer satisfaction.
Provide deep technical knowledge of cloud-native technologies, tools, and architecture best practices.
Demonstrate a strong understanding of AI and data pipelines, enabling clients to build scalable, intelligent solutions.
Qualifications:
Proven experience in technical sales, ideally focused on AI, cloud, or data infrastructure.
Strong communication and presentation skills with the ability to influence both technical and business stakeholders.
Deep knowledge of cloud platforms (AWS, GCP, Azure), cloud-native ecosystems (Kubernetes, containers, CI/CD, etc.), and cloud-native AI tools and infrastructure—such as Amazon SageMaker, Google Vertex AI, Azure Machine Learning, Kubeflow, MLflow, and data pipeline orchestration tools like Apache Airflow and Argo Workflows.
Familiarity with machine learning workflows, MLOps tools, and data engineering best practices.
A proactive mindset and a customer-first attitude.
Numbers & Facts
Location
Mountain View, CA
Skills
Amazon Web Services (AWS)unmatched
Apacheunmatched
Artificial Intelligence (AI)unmatched
Best Practicesunmatched
Cloud Computingunmatched
Communication Skillsunmatched
Continuous Deployment/Deliveryunmatched
Continuous Integrationunmatched
Customer Satisfactionunmatched
Data Managementunmatched
Ecosystemsunmatched
Enterprise Salesunmatched
GCP (Good Clinical Practices)unmatched
Leading Edge Technologyunmatched
Machine Learningunmatched
Marketingunmatched
Microsoft Windows Azureunmatched
Needs Assessmentunmatched
Partner Salesunmatched
Post-Salesunmatched
Pre-Salesunmatched
Presentation/Verbal Skillsunmatched
Product Demonstrationunmatched
Proof of Conceptunmatched
Request for Proposals (RFP)unmatched
Revenue Growthunmatched
Salesunmatched
Sales Managementunmatched
Sales Supportunmatched
Sales/Support Engineering (SE)unmatched
Scalable System Developmentunmatched
Technical Salesunmatched
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