About this role.
Lambda is hiring a Senior Incident Manager to command and coordinate SEV-1 and SEV-2 incidents affecting AI cloud and data center infrastructure. The role owns the full incident lifecycle, from technical triage and escalation through resolution, executive communication, post-incident review, and corrective action tracking. It requires 8+ years of incident management, SRE, or infrastructure operations experience and strong knowledge of GPU clusters, networking, storage, cloud platforms, and data center operations. The successful candidate will improve operational maturity through stronger runbooks, observability, automation, incident metrics, and cross-functional coordination. This is a senior, high-visibility operational leadership position with an on-call rotation.
Role DNA
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Job Complexity
5/5Pace & Pressure
5/5Autonomy Level
5/5Communication Load
5/5Salary analysis
Estimated compensation compared with the broader US market for similar roles.
Core skills
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Sample interview questions
I would establish incident command immediately, confirm customer impact and severity, assign clear technical owners for compute, network, storage, and platform workstreams, and create a time-stamped incident channel. I would set a predictable update cadence for leadership and stakeholders, prioritize safe mitigation and restoration, then lead a blameless post-incident review with corrective actions, owners, and due dates.
I would track MTTD, MTTA, MTTR, incident recurrence, escalation accuracy, time between updates, action-item completion, and the percentage of incidents with complete post-incident reviews. I would segment results by severity and service domain to identify recurring reliability gaps and opportunities for automation or improved runbooks.
I provide concise, factual updates that state the customer impact, affected services, current mitigation, key risks, decision needs, and next update time. I avoid speculation, distinguish confirmed facts from active hypotheses, and keep technical detail proportional to the audience while ensuring the incident team can remain focused on restoration.
I begin with a factual timeline and impact assessment, then identify contributing technical, process, tooling, and communication factors without assigning blame. The review should produce prioritized corrective actions with measurable outcomes, accountable owners, and follow-up dates, and I verify completion through recurring operational reviews.
I would first assess current severity definitions, escalation paths, communications, tooling, and incident data. I would implement a lightweight operating model with defined command roles, templates, runbooks, training exercises, and measurable service-level expectations, then iteratively improve it using findings from real incidents and simulations.
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 infrastructureCloud 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.
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