Sales Engineer
AI Squared
Mountain View, CA · Posted December 2, 2025
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Where Mountain View, CA ranks
Where Mountain View, CA placed in our monthly rankings, month by month. Each month stays online at its own address.
November 2026
- #1Best cities for AI-skill jobs45% · of 100
- #1Best cities for AI-skill jobs in the West Coast45% · of 71
- #1Best cities for mid-career professionals in the West Coast68% · of 71
- #1Best all-round cities for mid-career professionals in the West Coast85 / 100 · of 39
- #1Best all-round cities for AI careers in the West Coast96 / 100 · of 39
- #2Best cities for finance pay after cost of living$161k · of 35
Rankings about sales jobs
- Best cities for sales jobs #1 New York (2,774 openings)
- Best cities for sales pay after cost of living #1 Santa Clara ($175k)
- Most requested AI skills in sales jobs #1 AI tools in daily work (4.1%)
- AI tools named most often in sales jobs #1 Gong (0.93%)
- Employers with the most sales jobs #1 Charter Communications (389 roles)
Pay compared with the market
This listing does not state pay. Across 262 open sales engineer listings that state pay, the middle half runs $98,500 to $151,000 and the median is $115,000.
Listed pay is what employers advertise, not what people are paid.
How AI is used in this kind of work
Among sales engineers, AI is already used for a large share of the tasks. Measured exposure for sales engineers: 32% (high).
Share of this job’s tasks that AI is already used for at work, from real usage. It is not a forecast of job loss, and a low number means no use seen yet. Source: Anthropic Economic Index.
Skills this job asks for
Say which you have and which you want to build. We use it to match you to jobs like this one.
About the job
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.