Sales Engineer
Join AI Squared as a Sales Engineer to drive enterprise sales and support clients with AI infrastructure solutions.
Posted by employer 9 months ago
First seen on Joblaze 1 week ago
Last verified on the company career page 1 day ago
Skills & Technologies
Requirements
- Experience
- 10+ years
Not disclosed in this posting: compensation, work arrangement, visa sponsorship.
Joblaze summary
In the role of Sales Engineer at AI Squared, the individual will engage in both pre-sales and post-sales activities, focusing on delivering AI infrastructure solutions to enterprise clients. The position requires extensive knowledge of cloud platforms and AI tools, along with strong communication skills to effectively collaborate with account executives and influence stakeholders. This role is ideal for someone with over a decade of experience in technical sales, particularly in AI and cloud technologies, who thrives in a fast-paced, autonomous environment.
Joblaze insights
- Listed 9 days ago on Joblaze — tracked directly from AI Squared's career page.
- AI Squared has 7 other open roles including Account Executive - Enterprise, Account Executive - Federal , QA Engineer.
- 5136 active AI/ML roles on Joblaze right now.
- 2727 active AWS roles on Joblaze right now.
- 2566 active Kubernetes roles on Joblaze right now.
- Typical AI/ML salary we track runs $140,000–$231,000 (median $180,000, across 2232 roles). See AI/ML salary trends
Quick facts
- How much experience is required?
- At least 10 years of relevant experience for this Sales Engineer role.
- What's the tech stack?
- Joblaze extracted these technologies from the posting: AI/ML, AWS, Amazon SageMaker, Apache Airflow, Argo Workflows, Azure.
- What seniority level is this role?
- AI Squared targets senior candidates for this position.
- Is this full-time or contract?
- Full-time for this Sales Engineer role at AI Squared.
From the original posting
About the Role:
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.