# Sales Engineer at AI Squared

> United States · Unspecified · Software engineering · open. Source: https://alderhq.app/jobs/greenhouse%3Aaisquared%3A4575162006 (read 2026-11-09).

## Facts (observed)

- Company: [AI Squared](https://alderhq.app/companies/ai-squared)
- Location text: Mountain View, CA; Menlo Park
- Where it can be done from (inferred): United States (evidence: "Location: Mountain View, CA; Menlo Park")
- Posted: 2025-12-02 (341 days ago)
- First seen by alder: 2026-11-04 · last verified: 2026-11-08
- Reposted: 0 times · edited: 0 times
- Apply on the employer's site: https://job-boards.greenhouse.io/aisquared/jobs/4575162006
- Skills listed (inferred): AWS, GCP, Azure, Kubernetes, Docker, Airflow

## Pay and sponsorship

- Posted pay: not posted
- Market band for similar posted roles (SF Bay Area, n 1752): p25 $161k, median $200k, p75 $239k

## Description (the employer's text)

### 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.

---
Data: alder (https://alderhq.app). Cite https://alderhq.app/jobs/greenhouse%3Aaisquared%3A4575162006 and the date you read it. Observed facts come from the employer's own listing; location reach, level, family and skills are inferences.