Sales Engineer at AI Sqaured

Menlo Park, California, United States

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Artificial Intelligence, Cloud ComputingIndustries

Requirements

Proven experience in technical sales, ideally focused on AI, cloud, or data infrastructure
10+ years of experience as a Sales Engineer
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
Ability to operate as a self-starter, capable of working autonomously with minimal supervision in a fast-paced environment

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
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

Skills

AWS

GCP

Azure

Kubernetes

Containers

CI/CD

Amazon SageMaker

Google Vertex AI

Azure Machine Learning

Kubeflow

MLflow

Apache Airflow

AI Infrastructure

Data Pipelines

AI Sqaured

Integrates AI models into business applications

About AI Sqaured

Squared.ai focuses on predictive and generative artificial intelligence to enhance business productivity. The company helps businesses integrate AI and machine learning models into their operations, making AI-generated insights more accessible. By bridging the gap between data science and business teams, Squared.ai enables faster launches of AI projects and optimizes machine learning models for real-time integration with business applications. Their services include designing user-friendly experiences and ensuring model performance through real-time monitoring and auto-tuning. This approach allows businesses to gain insights quickly without lengthy development cycles. The goal of Squared.ai is to democratize AI, making it easier for organizations to adopt and leverage AI-driven decision-making.

Washington, District of ColumbiaHeadquarters

2021Year Founded

$19.3MTotal Funding

SERIES_ACompany Stage

Data & Analytics, AI & Machine LearningIndustries

51-200Employees

Risks

Emerging competition from Nvidia's mini supercomputer offering significant AI computing power.

Integration challenges from Multiwoven acquisition may disrupt operations.

Rapid expansion post-funding could lead to overextension and resource strain.

Differentiation

AI Squared bridges data science and business teams for faster AI project launches.

The platform democratizes AI-enhanced decision-making for businesses.

Real-time performance monitoring ensures optimal AI model performance in business applications.

Upsides

Acquisition of Multiwoven enhances data integration capabilities for seamless AI model integration.

Partnership with UNIFI Music expands AI integration services into the music industry.

$13.8M Series A funding boosts AI integration capabilities and platform features.

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