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.