Gleanwork

<div><div><span><strong>About Glean:</strong></span></div>
<div> </div>
<div><span>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.</span></div>
<div> </div>
<div><span>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.</span></div>
<div> </div>
<div><span>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.</span></div>
<div> </div>
<div><span>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. You'll be 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.</span></div></div><div>
<div>
<div>
<p><strong><span>About the Role: </span></strong></p>
<p><span>Glean is seeking a few Machine Learning engineers who want to focus on a combination of Quality and traditional ML work to help us build the Enterprise Brain. The Enterprise Brain team is developing a suite of proactive AI products that aims to revolutionize enterprise workflows by proactively detecting and automating tasks for users - thus unlocking true productivity. This is built on top of a deep user understanding and state of the art Enterprise graph. The project involves using both LLM and other advanced ML techniques, agent orchestration and cutting-edge ranking techniques.</span></p>
<p><strong><span>You will: </span></strong></p>
<ul>
<li><span>Work on deeply challenging ML problems involving user understanding and task prediction. </span></li>
<li><span>Invent new LLM workflows and signals to improve reasoning, planning, and personalization. </span></li>
<li><span>Design and optimize reinforcement learning and fine-tuning approaches to improve the quality of understanding, prediction and other agentic systems. </span></li>
<li><span>Lead development of scalable evaluation, benchmarking, and optimization loops. </span></li>
<li><span>Build and maintain robust ML pipelines for enterprise and knowledge graph construction. </span></li>
<li><span>Drive initiatives to measure, monitor, and improve data quality, model quality, and end-to-end system performance. </span></li>
<li><span>Collaborate with cross-functional teams to deeply understand customer pain points and deliver high-quality, production-ready ML solutions. </span></li>
<li><span>Mentor junior engineers or learn from experienced ones in a tight-knit, high-velocity environment.</span></li>
</ul>
<p><strong><span>About you: </span></strong></p>
<ul>
<li><span>You bring 6+ years of industry experience in machine learning engineering. </span></li>
<li><span>You hold a BA/BS in computer science, math, sciences, or a related field. </span></li>
<li><span>You have a proven ability to design, build, and ship production-ready models and systems. </span></li>
<li><span>You bring demonstrated expertise in ML evaluation, benchmarking, and data quality. </span></li>
<li><span>You are proficient in an ML framework of your choice, such as TensorFlow or PyTorch. </span></li>
<li><span>You thrive in a fast-moving, ambiguous environment, turning open-ended customer and ML problems into clear priorities and production-ready solutions. </span></li>
<li><span>You balance speed with quality, making pragmatic tradeoffs to deliver measurable progress without losing sight of production readiness.</span></li>
</ul>
</div>
<div><span><strong>Location:</strong></span></div>
<div>
<ul>
<li><span>This role is hybrid (4 days a week in our Mountain View office)</span></li>
</ul>
</div>
<div><span><strong>Compensation &amp; Benefits:</strong></span></div>
<div> </div>
<div><span>The standard base salary range for this position is $200,000 - $280,000 annually. 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.</span></div>
<div> </div>
<div><span>We offer a comprehensive benefits package including competitive compensation, Medical, Vision, and Dental coverage, generous time-off policy, and the opportunity to contribute to your 401k plan to support your long-term goals. When you join, you'll receive a home office improvement stipend, as well as an annual education and wellness stipends to support your growth and wellbeing. We foster a vibrant company culture through regular events, and provide healthy lunches daily to keep you fueled and focused.</span></div>
<div> </div>
<div><span>We’re committed to building and sustaining a diverse, inclusive workplace. We strive to attract and retain people with a wide range of backgrounds, experiences, and perspectives, and we do not discriminate on the basis of gender, ethnicity, sexual orientation, religion, civil or family status, age, disability, or race.<span> </span></span></div>
<div> </div>
<div><span>#LI-HYBRID</span></div>
</div>
</div><div><div> </div>
<div><span><strong>AI-First Mindset at Glean:</strong></span></div>
<div> </div>
<div><span>At Glean, AI fluency is core to how we work and we're committed to ensuring every new hire feels confident integrating AI into their everyday work. <strong>As part of the interview process, you'll complete a brief AI-focused exercise or discussion so we can understand how you think about, design, and use AI to drive impact in your role. </strong>Feel free to reference any tools, platforms, or workflows you use today — prior Glean experience isn't required.</span></div>
<div> </div>
<div><span><strong>Global Data Privacy Notice for Job Candidates and Applicants:</strong></span></div>
<div> </div>
<div><span>Depending on your location, the General Data Protection Regulation (GDPR), California Consumer Privacy Act (CCPA), or other privacy laws may regulate the way we manage the data of job applicants. Our full notice outlining how data will be processed as part of the application procedure for applicable locations is available in our <a href="https://www.glean.com/privacy" rel="noopener noreferrer ugc" target="_blank"><strong>Privacy Policy</strong></a>. By submitting your application, you are agreeing to our use and processing of your data as required. US applicants and their applications are subject to arbitration of disputes as outlined in our <a href="https://www.glean.com/arbitrationagreement" rel="noopener noreferrer ugc" target="_blank"><strong>Applicant Arbitration Agreement</strong></a>.</span></div>
<div><span><br />By clicking “Submit Application,” I confirm that I have read the Global Data Privacy Notice and the <a href="https://www.glean.com/arbitrationagreement" rel="noopener noreferrer ugc" target="_blank"><strong>Applicant Arbitration Agreement</strong></a>, and I agree to the terms.  </span></div></div>

Machine Learning Engineer, Enterprise Brain

<div><div><span><strong>About Glean:</strong></span></div>
<div> </div>
<div><span>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.</span></div>
<div> </div>
<div><span>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.</span></div>
<div> </div>
<div><span>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.</span></div>
<div> </div>
<div><span>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. You'll be 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.</span></div></div><div> </div>
<div><span><strong>About the Role:</strong></span></div>
<div> </div>
<div><span>Glean is seeking an AI Data Analyst to help power the human evaluation system behind Glean’s AI product quality. </span><span>This role sits at the centre of response quality, competitive benchmarking, and release readiness. You will evaluate AI outputs, label and categorize failure modes, maintain high-quality benchmark data, and help ensure the datasets and evals we rely on are realistic, consistent, and tied to measurable product quality lift. </span><span>This is a highly cross-functional role. You will work closely with QA, Engineering, Product, and the evals team to convert ambiguous quality issues into structured data, actionable feedback, and repeatable quality signals.</span></div>
<div> </div>
<div><span><strong>You will: </strong></span></div>
<div>
<ul>
<li><span>Run ongoing human labeling for priority AI workflows, including response quality, task success, MCP and tool use, end-to-end Cowork-style workflows.</span></li>
<li><span>Triage bad-query reports, downvotes, escalations, and routed quality issues; categorize failure modes and feed clean analysis back to partner teams.</span></li>
<li><span>Perform qualitative analysis to identify recurring patterns such as hallucinations, retrieval failures, tool-use issues, weak grounding, and poor workflow completion.</span></li>
<li><span>Follow and improve labeling guidelines and rubrics so judgments are consistent, realistic, and useful for model and product improvement.</span></li>
<li><span>Maintain high-quality labeled datasets, golden sets, and regression slices; monitor coverage, drift, leakage, and difficulty distribution.</span></li>
<li><span>Participate in calibration exercises with human graders and validate LLM-as-a-judge outputs against human labels to improve consistency and judge quality.</span></li>
<li><span>Partner with engineers, PMs, QA, and eval owners on pre/post-change quality reads, benchmark updates, and release-readiness decisions.</span></li>
<li><span>Contribute to recurring quality reporting by surfacing top failure modes, coverage gaps, quality shifts, and actionable recommendations.</span></li>
</ul>
</div>
<div><span><strong>About you:</strong></span></div>
<div>
<ul>
<li><span>3–5 years of experience in data labeling, data analysis, QA, or a related field.</span></li>
<li><span>Strong analytical judgment and attention to detail, with the ability to apply nuanced rubrics consistently.</span></li>
<li><span>Experience evaluating AI-generated outputs or working with NLP, search, recommendation, or other ML systems.</span></li>
<li><span>Familiarity with structured qualitative analysis, basic SQL/data retrieval, and spreadsheet-based workflows.</span></li>
<li><span>Clear written and verbal communication skills, with the ability to explain findings to both technical and non-technical audiences.</span></li>
<li><span>Ability to work independently in ambiguous, fast-moving environments and collaborate effectively across functions.</span></li>
</ul>
</div>
<div><span><strong>Location:</strong></span></div>
<div> </div>
<div><span>This role is hybrid (4 days a week in our offices).</span></div>
<div> </div>
<div><span><strong>Compensation &amp; Benefits:</strong></span></div>
<div> </div>
<div><span>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.</span></div>
<div> </div>
<div><span>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.</span></div>
<div> </div>
<div><span>#LI-HYBRID</span></div><div><div> </div>
<div><span><strong>AI-First Mindset at Glean:</strong></span></div>
<div> </div>
<div><span>At Glean, AI fluency is core to how we work and we're committed to ensuring every new hire feels confident integrating AI into their everyday work. <strong>As part of the interview process, you'll complete a brief AI-focused exercise or discussion so we can understand how you think about, design, and use AI to drive impact in your role. </strong>Feel free to reference any tools, platforms, or workflows you use today — prior Glean experience isn't required.</span></div>
<div> </div>
<div><span><strong>Global Data Privacy Notice for Job Candidates and Applicants:</strong></span></div>
<div> </div>
<div><span>Depending on your location, the General Data Protection Regulation (GDPR), California Consumer Privacy Act (CCPA), or other privacy laws may regulate the way we manage the data of job applicants. Our full notice outlining how data will be processed as part of the application procedure for applicable locations is available in our <a href="https://www.glean.com/privacy" rel="noopener noreferrer ugc" target="_blank"><strong>Privacy Policy</strong></a>. By submitting your application, you are agreeing to our use and processing of your data as required. US applicants and their applications are subject to arbitration of disputes as outlined in our <a href="https://www.glean.com/arbitrationagreement" rel="noopener noreferrer ugc" target="_blank"><strong>Applicant Arbitration Agreement</strong></a>.</span></div>
<div><span><br />By clicking “Submit Application,” I confirm that I have read the Global Data Privacy Notice and the <a href="https://www.glean.com/arbitrationagreement" rel="noopener noreferrer ugc" target="_blank"><strong>Applicant Arbitration Agreement</strong></a>, and I agree to the terms.  </span></div></div>

AI Data Analyst

<div><div><span><strong>About Glean:</strong></span></div>
<div> </div>
<div><span>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.</span></div>
<div> </div>
<div><span>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.</span></div>
<div> </div>
<div><span>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.</span></div>
<div> </div>
<div><span>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. You'll be 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.</span></div></div><div> </div>
<div><span><strong>About the Role:</strong></span></div>
<div> </div>
<div><span>The Agentic Runtime team builds the low‑latency, reliable, and secure foundation that powers Glean’s AI agents and assistant experiences at scale. You’ll design and operate core runtime services for multi‑turn orchestration, tool calling, model routing, memory, streaming, and safety. You’ll work across distributed systems, production observability, and ML infra integrations to deliver an experience that feels instant, accurate, and trustworthy — while optimizing cost and reliability.</span></div>
<div> </div>
<div><span><strong>You will:</strong></span></div>
<div>
<ul>
<li><span>Own impactful runtime problems end‑to‑end — from architecture and design to production launch and ongoing reliability.</span></li>
<li><span>Build and evolve core services for session lifecycle, streaming responses (e.g., gRPC/WebSockets), structured tool execution, memory/state, and policy/guardrails.</span></li>
<li><span>Design for performance, correctness, and cost: reduce p50/p95 latency, improve tail behavior, and optimize token/tool budgets.</span></li>
<li><span>Integrate with leading LLM providers (e.g., OpenAI, Anthropic, Google Gemini) and internal evaluation frameworks to improve quality and predictability.</span></li>
<li><span>Harden the platform with fault isolation, retries, timeouts, circuit‑breaking, backpressure, and graceful degradation.</span></li>
<li><span>Instrument deep observability (tracing, metrics, logs) and create playbooks/SLOs for high availability and on‑call excellence.</span></li>
<li><span>Collaborate closely with product, quality, and application teams to prioritize the most impactful roadmap investments.</span></li>
</ul>
</div>
<div><span><strong>You are:</strong></span></div>
<div>
<ul>
<li><span>3+ years of software engineering experience building production distributed systems or cloud‑native applications.</span></li>
<li><span>BS/BA in Computer Science or related field, or equivalent practical experience.</span></li>
<li><span>Strong coding skills in at least one of: Python, Go, Java, Javascript, Typescript, C++, with a focus on reliability, performance, and tests.</span></li>
<li><span>Product‑minded: you prioritize customer impact, clear SLAs/SLOs, and pragmatic iteration.</span></li>
<li><span>Ownership‑driven with a positive, proactive attitude; comfortable leading projects or learning from battle‑tested engineers.</span></li>
</ul>
<ul>
<li><span>Experience operating services on Kubernetes and at least one major cloud (e.g., GCP, AWS, or Azure).</span></li>
<li><span>Familiarity with event/streaming systems (e.g., Pub/Sub, Kafka), caching (e.g., Redis), and data stores for low‑latency paths.</span></li>
<li><span>Practical understanding of LLM/agents building blocks: tool/function calling, structured outputs, streaming, and model selection/routing.</span></li>
<li><span>Strong observability and debugging skills: tracing (e.g., OpenTelemetry), metrics, dashboards, and production forensics.</span></li>
<li><span>Background in one or more areas is a plus: policy/guardrails, multi‑tenant isolation, rate‑limiting, concurrency control, cost optimization.</span></li>
</ul>
</div>
<div><span><strong>Location:</strong> </span></div>
<div>
<ul>
<li><span>This role is hybrid (4 days a week in our Mountain View office)</span></li>
</ul>
</div>
<div><span><strong>Compensation &amp; Benefits:</strong></span></div>
<div> </div>
<div><span>The standard base salary range for this position is $180,000 - $210,000 annually. 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.</span></div>
<div> </div>
<div><span>We offer a comprehensive benefits package including competitive compensation, Medical, Vision, and Dental coverage, generous time-off policy, and the opportunity to contribute to your 401k plan to support your long-term goals. When you join, you'll receive a home office improvement stipend, as well as an annual education and wellness stipends to support your growth and wellbeing. We foster a vibrant company culture through regular events, and provide healthy lunches daily to keep you fueled and focused.</span></div>
<div> </div>
<div><span>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.</span></div>
<div> </div>
<div><span>#LI_HYBRID</span></div><div><div> </div>
<div><span><strong>AI-First Mindset at Glean:</strong></span></div>
<div> </div>
<div><span>At Glean, AI fluency is core to how we work and we're committed to ensuring every new hire feels confident integrating AI into their everyday work. <strong>As part of the interview process, you'll complete a brief AI-focused exercise or discussion so we can understand how you think about, design, and use AI to drive impact in your role. </strong>Feel free to reference any tools, platforms, or workflows you use today — prior Glean experience isn't required.</span></div>
<div> </div>
<div><span><strong>Global Data Privacy Notice for Job Candidates and Applicants:</strong></span></div>
<div> </div>
<div><span>Depending on your location, the General Data Protection Regulation (GDPR), California Consumer Privacy Act (CCPA), or other privacy laws may regulate the way we manage the data of job applicants. Our full notice outlining how data will be processed as part of the application procedure for applicable locations is available in our <a href="https://www.glean.com/privacy" rel="noopener noreferrer ugc" target="_blank"><strong>Privacy Policy</strong></a>. By submitting your application, you are agreeing to our use and processing of your data as required. US applicants and their applications are subject to arbitration of disputes as outlined in our <a href="https://www.glean.com/arbitrationagreement" rel="noopener noreferrer ugc" target="_blank"><strong>Applicant Arbitration Agreement</strong></a>.</span></div>
<div><span><br />By clicking “Submit Application,” I confirm that I have read the Global Data Privacy Notice and the <a href="https://www.glean.com/arbitrationagreement" rel="noopener noreferrer ugc" target="_blank"><strong>Applicant Arbitration Agreement</strong></a>, and I agree to the terms.  </span></div></div>

Software Engineer, Agentic Runtime

<div><div><span><strong>About Glean:</strong></span></div>
<div> </div>
<div><span>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.</span></div>
<div> </div>
<div><span>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.</span></div>
<div> </div>
<div><span>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.</span></div>
<div> </div>
<div><span>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. You'll be 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.</span></div></div><div> </div>
<div><span><strong>About the Role:</strong></span></div>
<div> </div>
<div><span>We are looking for an individual-contributor Data Engineer to help build and operate Glean’s internal data platform. </span><span>This is an internal-facing data platform role focused on analytics engineering for Glean’s internal teams and not customer-facing implementation. The role </span><span>will focus on reliable, governed, cost-efficient data infrastructure and analytics foundations used by internal teams across the company. </span><span>You will work across data ingestion, transformation, modeling, quality, access governance, and platform reliability. This role is hands-on and well suited to an engineer who enjoys turning ambiguous data problems into durable systems and clear operating standards. This is an in-person role based in Bangalore, India, with regular office presence expected. </span></div>
<div> </div>
<div><span><strong>You will:</strong></span></div>
<div>
<ul>
<li><span>Build and maintain reliable batch and API-based data ingestion pipelines.</span></li>
<li><span>Improve data quality through testing, continuous integration (CI) checks, ownership metadata, and clear layer boundaries.</span></li>
<li><span>Operate and improve BigQuery data infrastructure with an emphasis on performance and cost efficiency.</span></li>
<li><span>Implement data access controls, governance workflows, and safe self-serve access patterns.</span></li>
<li><span>Improve pipeline observability, failure classification, incident triage, and recovery processes.</span></li>
<li><span>Partner with Data Science, Business Intelligence, Finance, Sales Operations, Marketing, Security, Reliability Engineering, and other internal teams to understand data needs and deliver reusable platform capabilities.</span></li>
<li><span>Participate in design reviews, code reviews, documentation, and operational support for the data platform.</span></li>
</ul>
</div>
<div><span><strong>About you:</strong></span></div>
<div>
<ul>
<li><span>Minimum experience: 7–10 years overall, including at least 7 years of data engineering experience.</span></li>
<li><span>Strong Data engineering fundamentals and experience building production data systems.</span></li>
<li><span>An exceptionally high AI proficiency through habitual, high-value use of LLMs; sound judgment about when and how to apply them; rigorous validation and workflow improvement</span></li>
<li><span>Experience with SQL and Python, or comparable programming languages.</span></li>
<li><span>Experience with a cloud data warehouse, preferably BigQuery or a similar platform.</span></li>
<li><span>Experience with data transformation frameworks such as DBT, including testing and deployment workflows.</span></li>
<li><span>In Depth Understanding of Columnar File systems like parquet, Hudi Or Iceberg.</span></li>
<li><span>Understanding of dimensional modeling, data contracts, lineage, and data quality practices.</span></li>
<li><span>Experience designing or operating APIs, batch pipelines, or event-driven ingestion systems.</span></li>
<li><span>Ability to communicate technical trade-offs clearly and work effectively with internal stakeholders.</span></li>
<li><span>Ownership mindset: you can take a problem from discovery through implementation, rollout, and operational follow-through.</span></li>
<li><span>Ability to maintain a productive collaboration between IST and US PST time zones</span></li>
<li><span>Experience with BigQuery governance, IAM/RBAC, policy tags, masking, streaming systems or cost controls.</span></li>
<li><span>Experience building reusable data platform frameworks rather than one-off pipelines.</span></li>
<li><span>Familiarity with semantic layers, metric stores, or systems that make trusted data consumable by AI and analytics tools.</span></li>
<li><span>Experience with data observability, orchestration, CI/CD, or infrastructure-as-code.</span></li>
<li>Experience working in a fast-growing company where requirements and priorities evolve quickly.</li>
</ul>
</div>
<div><span><strong>Location:</strong></span></div>
<div>
<ul>
<li><span>This role is hybrid (4 days a week in our Bangalore office)</span></li>
</ul>
</div>
<div><span><strong>Compensation &amp; Benefits:</strong></span></div>
<div> </div>
<div><span>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.</span></div>
<div> </div>
<div><span>We’re committed to building and sustaining a diverse, inclusive workplace. We strive to attract and retain people with a wide range of backgrounds, experiences, and perspectives, and we do not discriminate on the basis of gender, ethnicity, sexual orientation, religion, civil or family status, age, disability, or race.</span></div>
<div> </div>
<div><span>#LI-HYBRID</span></div><div><div> </div>
<div><span><strong>AI-First Mindset at Glean:</strong></span></div>
<div> </div>
<div><span>At Glean, AI fluency is core to how we work and we're committed to ensuring every new hire feels confident integrating AI into their everyday work. <strong>As part of the interview process, you'll complete a brief AI-focused exercise or discussion so we can understand how you think about, design, and use AI to drive impact in your role. </strong>Feel free to reference any tools, platforms, or workflows you use today — prior Glean experience isn't required.</span></div>
<div> </div>
<div><span><strong>Global Data Privacy Notice for Job Candidates and Applicants:</strong></span></div>
<div> </div>
<div><span>Depending on your location, the General Data Protection Regulation (GDPR), California Consumer Privacy Act (CCPA), or other privacy laws may regulate the way we manage the data of job applicants. Our full notice outlining how data will be processed as part of the application procedure for applicable locations is available in our <a href="https://www.glean.com/privacy" rel="noopener noreferrer ugc" target="_blank"><strong>Privacy Policy</strong></a>. By submitting your application, you are agreeing to our use and processing of your data as required. US applicants and their applications are subject to arbitration of disputes as outlined in our <a href="https://www.glean.com/arbitrationagreement" rel="noopener noreferrer ugc" target="_blank"><strong>Applicant Arbitration Agreement</strong></a>.</span></div>
<div><span><br />By clicking “Submit Application,” I confirm that I have read the Global Data Privacy Notice and the <a href="https://www.glean.com/arbitrationagreement" rel="noopener noreferrer ugc" target="_blank"><strong>Applicant Arbitration Agreement</strong></a>, and I agree to the terms.  </span></div></div>

Senior Data Engineer - Internal Data Platform & Analytics

<div><div><span><strong>About Glean:</strong></span></div>
<div> </div>
<div><span>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.</span></div>
<div> </div>
<div><span>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.</span></div>
<div> </div>
<div><span>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.</span></div>
<div> </div>
<div><span>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. You'll be 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.</span></div></div><div>
<div><span><strong>About the Role:</strong></span></div>
<p><span>We’re hiring a Tech Lead for our Admin Console team to engineer one of the most important product surfaces at Glean: the admin experience that helps customers deploy, govern, and scale Glean across their organizations. This is a high-impact, full-stack role for an engineer who can guide architecture, partner deeply with product and design, and grow a small but strategically important team. The Admin Console is the control plane for enterprise activation, admin confidence, and scalable rollout. Admins use it to configure authentication, data sources, permissions, governance, search settings, AI features, and deployment health from a self-serve central hub. As Glean evolves from a search company into an AI platform, this team’s mission is evolving too: from managing data sources to helping admins manage the broader context layer of the system, including actions, live data, governance, and AI configuration.</span></p>
<p><span><strong>You will:</strong></span></p>
<ul>
<li><span>Lead and grow the Admin Console engineering team, owning strong technical direction.</span></li>
<li><span>Own architecture and execution for core admin-facing workflows including data source setup, security configuration, deployment management, and feature rollout controls.</span></li>
<li><span>Partner closely with Product and Design to simplify complex enterprise workflows and make the admin experience more intuitive and scalable.</span></li>
<li><span>Help evolve the Admin Console from a system centered on crawlers and data setup into a broader control plane for enterprise context, actions, governance, and AI capability management.</span></li>
<li><span>Improve self-serve activation so admins can get their organizations up and running faster, with less dependency on human support.</span></li>
<li><span>Improve visibility into crawl health, connector status, indexing progress, permissions, and rollout readiness so admins can confidently understand what is happening in their deployment.</span></li>
<li><span>Build systems and workflows that help admins safely scale Glean across users, teams, and capabilities over time through a coherent interface.</span></li>
<li><span>Collaborate deeply with backend, connector, infra, and security teams to deliver unified admin experiences that sit on top of platform and infrastructure layers.</span></li>
</ul>
<p><span><strong>About you:</strong></span></p>
<ul>
<li><span>7+ years of software engineering experience building production distributed systems or cloud‑native applications. </span></li>
<li><span>BS/BA in Computer Science or related field, or equivalent practical experience.</span></li>
<li><span>Strong coding skills in at least one of: Python, Go, Java, C++, Javascript.</span></li>
<li><span>Product‑minded: you prioritize customer impact, clear SLAs/SLOs, and pragmatic iteration.</span></li>
<li><span>Ownership‑driven with a positive, proactive attitude; comfortable leading projects or learning from battle‑tested engineers.</span></li>
<li><span>You have experience building enterprise SaaS, enterprise platform, admin console, or similarly configurable product experiences.</span></li>
<li><span>Experience working on products where usability, governance, permissions, and technical complexity all matter.</span></li>
<li><span>Experience mentoring engineers with different technical strengths, including frontend and backend team members.</span></li>
<li><span>Ability to operate in ambiguity and shape roadmap, architecture, and team execution in a fast-moving environment.</span></li>
<li><span>Strong cross-functional collaboration skills and comfort partnering with product, design, security, and platform teams.</span></li>
</ul>
</div>
<p><span><strong>Location:</strong> </span></p>
<ul>
<li><span>This role is hybrid (4 days a week in our Mountain View or San Francisco office)</span></li>
</ul>
<p><span><strong>Compensation &amp; Benefits:</strong></span></p>
<p><span>The standard base salary range for this position is $250,000 - $300,000 annually. 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.</span></p>
<p><span>We offer a comprehensive benefits package including competitive compensation, Medical, Vision, and Dental coverage, generous time-off policy, and the opportunity to contribute to your 401k plan to support your long-term goals. When you join, you'll receive a home office improvement stipend, as well as an annual education and wellness stipends to support your growth and wellbeing. We foster a vibrant company culture through regular events, and provide healthy lunches daily to keep you fueled and focused.</span></p>
<p><span>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.</span></p>
<p><span>#LI-HYBRID</span></p><div><div> </div>
<div><span><strong>AI-First Mindset at Glean:</strong></span></div>
<div> </div>
<div><span>At Glean, AI fluency is core to how we work and we're committed to ensuring every new hire feels confident integrating AI into their everyday work. <strong>As part of the interview process, you'll complete a brief AI-focused exercise or discussion so we can understand how you think about, design, and use AI to drive impact in your role. </strong>Feel free to reference any tools, platforms, or workflows you use today — prior Glean experience isn't required.</span></div>
<div> </div>
<div><span><strong>Global Data Privacy Notice for Job Candidates and Applicants:</strong></span></div>
<div> </div>
<div><span>Depending on your location, the General Data Protection Regulation (GDPR), California Consumer Privacy Act (CCPA), or other privacy laws may regulate the way we manage the data of job applicants. Our full notice outlining how data will be processed as part of the application procedure for applicable locations is available in our <a href="https://www.glean.com/privacy" rel="noopener noreferrer ugc" target="_blank"><strong>Privacy Policy</strong></a>. By submitting your application, you are agreeing to our use and processing of your data as required. US applicants and their applications are subject to arbitration of disputes as outlined in our <a href="https://www.glean.com/arbitrationagreement" rel="noopener noreferrer ugc" target="_blank"><strong>Applicant Arbitration Agreement</strong></a>.</span></div>
<div><span><br />By clicking “Submit Application,” I confirm that I have read the Global Data Privacy Notice and the <a href="https://www.glean.com/arbitrationagreement" rel="noopener noreferrer ugc" target="_blank"><strong>Applicant Arbitration Agreement</strong></a>, and I agree to the terms.  </span></div></div>

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