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Data Analyst - Quality Assurance

Bangalore, India
About Glean:

Glean is the Work AI platform that helps everyone work smarter with AI. What began as the industry’s most advanced enterprise search has evolved into a full-scale Work AI ecosystem, powering intelligent Search, an AI Assistant, and scalable AI agents on one secure, open platform. With over 100 enterprise SaaS connectors, flexible LLM choice, and robust APIs, Glean gives organizations the infrastructure to govern, scale, and customize AI across their entire business - without vendor lock-in or costly implementation cycles.

At its core, Glean is redefining how enterprises find, use, and act on knowledge. Its Enterprise Graph and Personal Knowledge Graph map the relationships between people, content, and activity, delivering deeply personalized, context-aware responses for every employee. This foundation powers Glean’s agentic capabilities - AI agents that automate real work across teams by accessing the industry’s broadest range of data: enterprise and world, structured and unstructured, historical and real-time. The result: measurable business impact through faster onboarding, hours of productivity gained each week, and smarter, safer decisions at every level.

Recognized by Fast Company as one of the World’s Most Innovative Companies (Top 10, 2025), by CNBC’s Disruptor 50, Bloomberg’s AI Startups to Watch (2026), Forbes AI 50, and Gartner’s Tech Innovators in Agentic AI, Glean continues to accelerate its global impact. With customers across 50+ industries and 1,000+ employees in more than 25 countries, we’re helping the world’s largest organizations make every employee AI-fluent, and turning the superintelligent enterprise from concept into reality.

If you’re excited to shape how the world works, you’ll help build systems used daily across Microsoft Teams, Zoom, ServiceNow, Zendesk, GitHub, and many more - deeply embedded where people get things done. You’ll ship agentic capabilities on an open, extensible stack, with the craft and care required for enterprise trust, as we bring Work AI to every employee, in every company.
ABOUT THE ROLE

We're seeking a technically-focused Data Analyst - QA role to drive the Quality of our AI features and various LLM models. This role involves evaluating AI outputs, identifying and tagging patterns in errors, and ensuring that responses align with accuracy, coherence, and ethical guidelines. We are looking for someone with a strong analytical mindset, attention to detail, and experience working with AI, NLP models, or data-driven assessments.

You will:

  • Triage Bad Query responses and categorisation of the issues found
  • Analyse win/loss patterns across different LLM Models and AI features
  • Conduct qualitative analysis to detect inconsistencies, biases, retrieval errors, or hallucinations in AI outputs.
  • Develop quality metrics and benchmarks to measure AI response performance over time.
  • Collaborate with data scientists and engineers to provide feedback and improve AI models.
  • Identify trends and recurring issues in AI responses and suggest refinements.
  • Design and maintain quality assurance guidelines for AI-generated content evaluation.
  • Perform manual audits on AI outputs to ensure compliance with linguistic and ethical standards.

About you:

  • Bachelor's or Master's degree in Data Science, Computer Science Engineering, AI/ML Engineering, Information Technology, Compute Applications.
  • 3 -5  years of experience in quality assurance, data analysis, content moderation, or NLP-related roles.
  • Excellent vocabulary and communication skills
  • Experience in Search Engine Optimization (SEO) or analysing AI response quality
  • Strong ability to analyze qualitative data, identify patterns, and synthesize insights.
  • Ability to communicate findings effectively to both technical and non-technical stakeholders.
  • Excellent attention to detail and critical thinking skills.
  • Experience working with AI-generated content, NLP models, or chatbots.

Preferred Skills:

  • Familiarity with data annotation tools and evaluation frameworks for AI models
  • Familiarity with qualitative research methodologies and user behavior analysis
  • Basic knowledge on SQL retrieval 
  • Experience working on JIRA is a plus
  • Ability to work in a fast-paced environment and adapt to evolving AI technologies.

Compensation & Benefits:

Compensation offered will be determined by factors such as location, level, job-related knowledge, skills, and experience. Certain roles may be eligible for variable compensation, equity, and benefits.

We are a diverse bunch of people and we want to continue to attract and retain a diverse range of people into our organization. We're committed to an inclusive and diverse company. We do not discriminate based on gender, ethnicity, sexual orientation, religion, civil or family status, age, disability, or race.

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