Glean
Work AI
TechLeadManager,AgenticRuntime
Neural analysis suggests this role is
optimal for Lead candidates.
“Tech Lead Manager, Agentic Runtime at Glean. Skills: Agentic Runtime, low-latency, reliable, secure foundation, AI agents, assistant experiences, distributed systems, production observability, ML infra integrations. Own impactful runtime problems end‑to‑end — from architecture and design to production launch and ongoing reliability. Build and evolve core services for session lifecycle, streaming responses (e. g. , gRPC/WebSockets), structured tool execution, memory/state, and policy/guardrails”
What You'll Achieve.
deliver an experience that feels instant, accurate, and trustworthy; optimizing cost and reliability; measurable business impact through faster onboarding, hours of productivity gained each week, and smarter, safer decisions at every level; improve quality and predictability; high availability
Industry & Context.
Own impactful runtime problems end‑to‑end; Design for performance, correctness, and cost; Harden the platform; Instrument deep observability
on-call excellence, AI-focused exercise or discussion as part of the interview process
What They're Looking For.
Must Have
8+ years of software engineering experience building production distributed systems or cloud‑native applications, 1+ years of engineering management experience, coding skills in at least one of: Python, Go, Java, or C++, with a focus on reliability, performance, and tests, Experience operating services on Kubernetes and at least one major cloud (e. g. , GCP, AWS, or Azure), Practical understanding of LLM/agents building blocks: tool/function calling, structured outputs, streaming, and model selection/routing, observability and debugging skills: tracing (e. g. , OpenTelemetry), metrics, dashboards, and production forensics
Nice to Have
Background in one or more areas is a plus: policy/guardrails, multi-tenant isolation, rate‑limiting, concurrency control, cost optimization
What You'll Do.
Own impactful runtime problems end‑to‑end — from architecture and design to production launch and ongoing reliability, Build and evolve core services for session lifecycle, streaming responses (e.
, gRPC/WebSockets), structured tool execution, memory/state, and policy/guardrails, Design for performance, correctness, and cost: reduce p50/p95 latency, improve tail behavior, and optimize token/tool budgets, Integrate with leading LLM providers (e.
, OpenAI, Anthropic, Google Gemini) and internal evaluation frameworks to improve quality and predictability, Harden the platform with fault isolation, retries, timeouts, circuit‑breaking, backpressure, and graceful degradation, Instrument deep observability (tracing, metrics, logs) and create playbooks/SLOs for high availability and on‑call excellence, Collaborate closely with product, quality, and application teams to prioritize the most impactful roadmap investments.
How You'll Work.
Team & Collaboration
Collaborate closely with product, quality, and application teams to prioritize the most impactful roadmap investments
Process & Methodology
leading projects
Full Job Description
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 ente
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