---
title: 'Senior Incident Manager at Lambda'
canonical: 'https://feeny.ai/job/senior-incident-manager-lambda-united-states-t9nbdragbg3v'
type: 'job'
last_seen: '2026-09-06'
---

# Senior Incident Manager at Lambda

- **Company:** Lambda
- **Location:** United States
- **Compensation:** $125k–$195k
- **Employment:** full-time
- **Work type:** remote
- **Posted:** 2026-06-03
- **Last confirmed live:** 2026-09-06
- **Apply:** https://jobs.ashbyhq.com/lambda/7e26ae22-0ecb-4de0-bb9f-7dff3ab39371/application

**Skills:** Incident Management, Site Reliability Engineering, Infrastructure Operations, Data Center Operations, GPU Compute Clusters, Networking, Storage Infrastructure, Cloud Platforms, ITIL, SRE, PagerDuty, ServiceNow, Jira, Datadog, Prometheus, Grafana, AI Infrastructure, HPC Infrastructure, NVIDIA Clusters, InfiniBand Networks

> Leads critical incident response for AI data center infrastructure, acting as Incident Commander for major outages. Coordinates cross-functional teams to ensure rapid resolution, drives post-incident analysis, and improves operational resilience and reliability frameworks.

## Job description

Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.

If you'd like to build the world's best AI cloud, join us.

We are seeking a Senior Incident Manager to lead critical incident response across our AI data center infrastructure. This role is responsible for coordinating rapid resolution of service-impacting events, improving operational resilience, and driving incident management best practices across infrastructure, networking, platform engineering, and data center operations.

## Role Overview

The Senior Incident Manager is responsible for leading the end-to-end lifecycle of operational incidents impacting AI infrastructure and data center services. This individual acts as the central command point during major incidents, ensuring rapid triage, cross-team coordination, effective communication, and structured post-incident analysis.

This role requires deep operational expertise in high-availability infrastructure, large-scale GPU clusters, networking, and cloud platforms, along with strong leadership and communication skills.

## What You’ll Do

Incident Leadership

- Lead the response to critical (SEV-1 / SEV-2) incidents impacting AI infrastructure, GPU clusters, networking, storage, and data center operations.
- Serve as the Incident Commander during major outages, coordinating engineering, networking, facilities, and vendor teams.
- Act as the liaison between leadership and external teams during incidents / post-incidents to provide updates and status summaries.
- Establish clear incident timelines, triage actions, and resolution plans.

Incident Management Operations

- Own the incident response lifecycle including:
- Assisting Technical Triage
- Escalation
- Coordination
- Resolution Post-incident review
- Ensure timely and accurate communication with internal stakeholders and leadership.
- Maintain incident response documentation and operational playbooks.
- Conduct analysis on incidents and identify patterns / trends for improvement in response and systems reliability.
- Work in an On-Call Rotation to respond to, lead, and coordinate incidents

Cross-Functional Coordination

- Work closely with:
- Data center operations
- Infrastructure engineering & operations
- Network engineering
- Platform reliability engineering
- Security operations
- Hardware and facility vendors
- Drive alignment during outages involving multiple infrastructure layers.

Post-Incident Analysis & Continuous Improvement

- Lead post-incident reviews (PIRs) and root cause analysis. Identify systemic reliability gaps and implement corrective actions.
- Track incident metrics including MTTR, MTTD, and incident recurrence rates.

Operational Excellence

- Improve incident response processes, escalation paths, and tooling by working with technical support and engineering teams..
- Contribute to runbooks, operational standards, and reliability frameworks.
- Support implementation of automation and observability improvements.

Communication & Reporting

- Provide executive-level incident summaries and reports.
- Deliver clear, concise updates during active incidents.
- Maintain incident dashboards and operational health reporting.

You

- 8+ years experience in incident management, site reliability engineering, or infrastructure operations
- Experience managing incidents in large-scale distributed infrastructure environments
- Strong understanding of:
- Data center operations
- GPU compute clusters Networking and storage infrastructure
- Cloud or hybrid infrastructure platforms
- Proven ability to lead high-pressure incident response situations
- Experience with incident management frameworks (ITIL, SRE, or equivalent)
- Excellent communication and stakeholder management skills
- Experience with incident tracking and monitoring tools such as:
- PagerDuty
- ServiceNow
- Jira
- Datadog
- Prometheus / Grafana

## Nice to Have

- Experience operating AI or HPC infrastructure
- Background in SRE, infrastructure engineering, or data center operations
- Familiarity with high-density GPU environments (NVIDIA clusters, InfiniBand networks)
- Experience with hyperscale or colocation data center environments
- Knowledge of automation and incident response tooling
- Knowledge of and experience with Incident command system (ICS)
- Experience in leading and developing incident command from stractch

## Key Competencies

- Incident Command & Leadership
- Operational Decision Making
- Cross-Team Coordination
- Root Cause Analysis
- Crisis Communication
- Infrastructure Reliability

What Success Looks Like in This Role

- Reduced Mean Time to Resolution (MTTR) for critical incidents
- Improved cross-team incident coordination
- High-quality post-incident reviews and corrective actions
- Increased infrastructure reliability and operational maturity

Salary Range Information

The annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.

## About Lambda

- Founded in 2012, with 500+ employees, and growing fast
- Our investors notably include TWG Global, US Innovative Technology Fund (USIT), Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, Gradient Ventures, Mercato Partners, SVB, 1517, and Crescent Cove
- We have research papers accepted at top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG
- Our values are publicly available: https://lambda.ai/careers
- We offer generous cash & equity compensation
- Health, dental, and vision coverage for you and your dependents
- Wellness and commuter stipends for select roles
- 401k Plan with 2% company match (USA employees)
- Flexible paid time off plan that we all actually use

## Equal Opportunity Employer

Lambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.

## About Lambda

## Company Overview
- **One-liner**: Lambda builds supercomputers and cloud infrastructure for training and deploying large-scale AI models, from single GPUs to gigawatt-scale AI factories.
- **Entity Type**: Private (funding stage not publicly disclosed; founded by ML engineers)
- **Headquarters**: San Francisco, California, USA
- **Founded**: 2012
- **Founders**: Stephen Balaban and Michael Balaban

## Core Business
- Primary industry: AI infrastructure / cloud computing for machine learning.
- Target customers: Frontier AI labs building large foundation models, hyperscalers scaling global AI infrastructure, and enterprises deploying AI in regulated industries (B2B, Enterprise).
- Mission: “Make compute as ubiquitous as electricity and give everyone in America the power of superintelligence” (also “One person, one GPU”).

## Products & Services
- **The Superintelligence Cloud**: A suite of cloud computing offerings specifically built for AI workloads, including:
  - **GPU Instances**: On-demand NVIDIA HGX B200, H100, and GB300 NVL72 instances for prototyping and testing.
  - **Managed Clusters**: Dedicated, single-tenant clusters (e.g., NVIDIA GB300 NVL72, HGX B200/H100) with full management and co-engineering from Lambda’s team.
  - **1-Click Clusters™**: Rapidly deployable clusters for training and inference.
  - **Superclusters**: Large-scale AI factories integrating high-density power, liquid cooling, and high-bandwidth interconnects.
- **AI Infrastructure Hardware**: Modular AI factory designs and NVIDIA-based systems for on-premise or colocation deployment.

## Market Standing
- **Valuation/Market Cap**: Not publicly disclosed.
- **Key Metric**: Total funding not publicly available; revenue not disclosed.
- **Notable Customers/Partners**: “World’s most advanced AI organizations” (frontier labs, hyperscalers, regulated enterprises). Leadership includes former executives from cloud and networking companies.
- **Growth Signals**: Active hiring across engineering, storage, security, and procurement roles; building AI factories at gigawatt scale; SOC 2 Type II certified; expanding from San Francisco to San Jose, CA.

## Competitive Advantages
- **AI‑First DNA**: 100% of engineering, operations, and support dedicated to AI – founded by ML engineers in 2012.
- **Single‑Tenant Isolation**: Shared‑nothing architecture for security and performance, with hardware‑level isolation.
- **Full‑Stack Expertise**: Co‑engineering from the same team building the infrastructure, enabling deep optimization for large training runs.
- **Hacker Culture**: Rooted in the Noisebridge hackerspace values of do‑ocracy, low ego, and “be excellent to each other.”
- **Performance**: Rack‑scale NVIDIA systems (GB300, B200, H100) with high‑speed interconnects (NVIDIA Quantum‑2 InfiniBand).

## Strategic Focus
- Scaling infrastructure to support the next generation of superintelligence, including gigawatt‑scale AI factories.
- Enabling frontier labs to train trillion‑parameter models and serve billions of tokens in production.
- Expanding compliance and security capabilities for regulated industries.
- Growing the cloud platform (The Superintelligence Cloud) as the primary go‑to‑market offering.

## Why Work Here
- **Culture**: Hacker ethos (Noisebridge roots), low ego, no yelling, no politics, no crypto. Values: build, move fast, care, be excellent to each other.
- **Work Environment**: Fast‑paced, high‑change, outcome‑focused. Emphasis on technical excellence and curiosity. Anonymous feedback encouraged.
- **Interview Process**: Clear, structured steps (recruiter chat → hiring manager → technical assessment → panel interviews → reference/offer). Pedigree is not everything; focus on what you’ve built.
- **Location & Remote**: Offices in San Francisco and San Jose, CA. FAQ page addresses remote/hybrid policy (details not provided in available snippets); some roles appear on‑site.
- **Perks**: Benefits, time off, and other perks are listed on the careers site (specifics not extracted here).

## Sources
1. [lambda.ai/about](https://lambda.ai/about)
2. [lambda.ai/](https://lambda.ai/)
3. [lambda.ai/careers](https://lambda.ai/careers)
4. [lambda.ai/leadership](https://lambda.ai/leadership)

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