---
title: 'Sales Engineer at AI Squared'
canonical: 'https://feeny.ai/job/sales-engineer-ai-squared-mountain-view-2h505kcb4wa6'
type: 'job'
last_seen: '2026-09-11'
---

# Sales Engineer at AI Squared

- **Company:** AI Squared
- **Location:** Mountain View, CA
- **Posted:** 2025-12-02
- **Last confirmed live:** 2026-09-11
- **Apply:** https://job-boards.greenhouse.io/aisquared/jobs/4575162006

## Job description

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.

## About AI Squared

## Company Overview
- **One-liner**: AISquared provides a secure, low-code platform to operationalize AI by embedding insights directly into enterprise business applications and workflows.
- **Entity Type**: Private (Series A)
- **Headquarters**: Mountain View, California, United States
- **Founded**: 2021
- **Founders**: Napoleon Paxton, Ph.D. (Co-Founder & Chief Data Scientist); Jacob Renn, Ph.D. (Co-Founder & Chief Data Scientist)

## Core Business
- Primary industry/industries: Enterprise AI Infrastructure, Software Development
- Target customers: B2B, Enterprise, Federal/GovCon, Mid-Market, Growth Teams
- Mission or purpose statement: "Shaping the Future of AI" by bridging the gap between cutting-edge AI and real-world impact, ensuring organizations don’t just adopt AI, but thrive with it.

## Products & Services
- **UNIFI**: Enterprise-grade platform for scaling AI beyond pilots. Connects data sources and AI models, orchestrates workflows, secures deployments with defense-grade controls, and embeds AI insights directly into systems like Salesforce, ServiceNow, and Slack.
- **Sparx**: Agentic AI solution for growing businesses, designed for teams that need to operationalize AI without a major infrastructure overhaul.
- **100+ Pre-built Connectors**: Library of connectors across data sources and LLMs, enabling one-click integration to existing data and AI infrastructure.

## Market Standing
- **Valuation/Market Cap**: Not publicly disclosed
- **Key Metric**: Total Funding of $19.8M; Annual Revenue of $2.5M (per LinkedIn)
- **Notable Investors/Partners**: Ansa Capital (led Series A), New Enterprise Associates (NEA) (led Seed Round); Board includes Greg Papadopoulos, Ph.D. (Venture Partner at NEA), Roger W. Ferguson, Jr. (Former President & CEO at TIAA), and Allan Jean-Baptiste (Co-Founder & Managing Partner at Ansa Capital).
- **Growth Signals**: Acquired Multiwoven in May 2024; trusted by leading financial institutions, complex supply chain organizations, and the United States Department of Defense; LinkedIn followers grew 50.2% year-over-year to 8,193; operates in 5 countries.

## Competitive Advantages
- **Zero Trust Security for Enterprise AI**: Role-based access, audit trails, and encrypted data flows ensure AI operates only within defined boundaries, making it suitable for federal and highly regulated environments.
- **The "Last Mile" Solution**: Directly addresses the common failure point of AI deployment by embedding insights into the business applications where work actually happens, without requiring large engineering lifts.
- **Measurable ROI**: Provides leaders with visibility into adoption, performance, and business impact, claiming 5x faster time-to-value.

## Strategic Focus
- **Scaling AI Adoption**: Moving organizations from stalled pilots to real operational impact.
- **Federal & Enterprise Expansion**: Specifically targeting secure, mission-critical environments with dedicated Federal sales and engineering teams.
- **Platform Ecosystem**: Building out a comprehensive platform (UNIFI + Sparx) that covers the full lifecycle of AI integration, from connection to continuous improvement via user feedback.

## Why Work Here
- **Culture**: Mission-driven, innovation-first, with a focus on "impact over hype." Values include relentless curiosity and security & trust.
- **Hybrid Work Policy**: Flexible model empowering employees to work from home or in offices, with in-person collaboration for key moments of innovation.
- **Offices**: Two vibrant hubs — Mountain View, CA (West Coast HQ for engineering, product, and AI research) and Bangalore, India (cutting-edge AI infrastructure development). Also has a Washington, DC office for federal work.
- **Benefits**: Comprehensive health coverage (medical, dental, vision), equity & competitive compensation, 401(k) matching, generous unlimited PTO, paid parental leave, wellness reimbursements, and employee assistance programs.
- **Engineering Culture**: Focus on building the infrastructure for agentic enterprise AI with a small, fast-growing team (52 employees). Open roles include Backend Engineer, Machine Learning Engineer, Data Scientist, and QA Engineer.

## Sources
1. [aisquared.ai](https://aisquared.ai/)
2. [aisquared.ai/careers](https://aisquared.ai/careers/)
3. [aisquared.ai/about](https://aisquared.ai/about/)
4. [job-boards.greenhouse.io/aisquared](http://job-boards.greenhouse.io/aisquared)
5. [linkedin.com/company/aisquaredinc](https://www.linkedin.com/company/aisquaredinc)

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