---
title: 'QA Engineer at AI Squared'
canonical: 'https://feeny.ai/job/qa-engineer-ai-squared-bengaluru-kqaa5m8nte04'
type: 'job'
last_seen: '2026-09-11'
---

# QA Engineer at AI Squared

- **Company:** AI Squared
- **Location:** Bengaluru, India
- **Posted:** 2025-11-26
- **Last confirmed live:** 2026-09-11
- **Apply:** https://job-boards.greenhouse.io/aisquared/jobs/4621299006

## Job description

Position Overview

We are seeking a skilled and proactive QA SDET – 2 to join our distribution team. This isn't your typical "just run the test cases" role. We need someone who can deeply understand our AI ecosystem, take ownership of quality across the product, and drive testing excellence through automation and first-principles thinking. You'll work autonomously in a remote environment, requiring strong self-direction, excellent communication, and genuine curiosity about both the product and the testing craft.

You will be responsible for

- Design, develop, and maintain automated test suites with a goal of automating 80% of integration tests, ensuring comprehensive coverage and reliability.
- Go beyond surface-level testing by truly grasping how our AI product works, the user journey, edge cases, and potential failure modes.
- Identify quality risks early, surface issues before they reach production, and continuously improve our testing processes without waiting to be told.
- Build reusable test frameworks and components using modern testing tools and best practices.
- Break down complex testing challenges from the ground up, questioning assumptions and designing effective test strategies.
- Produce clear video demonstrations of issues, test scenarios, and product features, along with well-structured documentation for test cases, automation frameworks, and quality processes.
- Own the delivery of an entire software development test suites and framework
- Work closely with cross-functional stakeholders to understand requirements, provide quality insights early in the development cycle, and ensure testability is built into features.
- Articulate quality concerns, test results, and recommendations clearly in a remote environment through written updates, documentation, and team discussions.

## Requirements

- 2+ years of experience in QA/SDET roles with a strong focus on test automation and integration testing
- Proficiency in languages like JavaScript/TypeScript, Python, and Ruby for writing test automation
- Experience with tools like Playwright, Selenium, Jest, or similar frameworks for frontend and API testing
- Proven ability to design and implement comprehensive test strategies that cover complex user workflows
- Ability to break down problems from fundamentals, question assumptions, and design effective testing approaches rather than following rote processes
- Comfortable creating detailed documentation, test plans, bug reports, and asynchronous updates for a distributed team
- Takes initiative to identify issues, improve processes, and learn new technologies without constant direction
- Passion for understanding how things work, staying current with testing best practices, and diving deep into the AI/ML domain
- Proven ability to work effectively in a distributed team environment with minimal supervision

## 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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