# Tech Lead Manager - Agentic Runtime

**Company:** [Glean](https://hotfix.jobs/companies/glean)
**Location:** Mountain View, CA, San Francisco, CA
**Role:** Engineering Management
**Salary:** $250k – $300k/yr
**Experience:** 8+ years
**Skills:** Python, Go, Java, C++, Kubernetes, GCP, AWS, Azure, Kafka, Redis, OpenTelemetry, gRPC, WebSockets, Pub/Sub
**Posted:** 2026-03-25

> Leads the Agentic Runtime team building low-latency, secure foundation for AI agents, handling orchestration, tool calling, model routing, and observability. Requires 8+ years in distributed systems, 1+ years management, and expertise in cloud-native services and LLMs.

## Job Description

## Responsibilities
- 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.
- Design for performance, correctness, and cost: reduce p50/p95 latency, improve tail behavior, and optimize token/tool budgets.
- Integrate with leading LLM providers (e.g., 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.

## Requirements
- 8+ years of software engineering experience building production distributed systems or cloud-native applications.
- 1+ years of engineering management experience.
- BS/BA in Computer Science or related field, or equivalent practical experience.
- Strong coding skills in at least one of: **Python**, **Go**, **Java**, or **C++**, with a focus on reliability, performance, and tests.
- Product-minded: prioritize customer impact, clear SLAs/SLOs, and pragmatic iteration.
- Ownership-driven with a positive, proactive attitude; comfortable leading projects or learning from battle-tested engineers.
- Experience operating services on **Kubernetes** and at least one major cloud (e.g., **GCP**, **AWS**, or **Azure**).
- Familiarity with event/streaming systems (e.g., **Pub/Sub**, **Kafka**), caching (e.g., **Redis**), and data stores for low-latency paths.
- Practical understanding of LLM/agents building blocks: tool/function calling, structured outputs, streaming, and model selection/routing.
- Strong observability and debugging skills: tracing (e.g., **OpenTelemetry**), metrics, dashboards, and production forensics.

## Nice-to-Haves
- Background in one or more areas: policy/guardrails, multi-tenant isolation, rate-limiting, concurrency control, cost optimization.

## Compensation & Benefits
- Base salary range: **$250,000 - $300,000** annually.
- Comprehensive benefits: Medical, Vision, Dental, generous time-off, 401k, home office stipend, education and wellness stipends, company events, daily lunches.

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