Senior Manager - Security Incident Detection and Response at Lambda

San Francisco, California, United States

Apply Now

$360,000 – $540,000Compensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Artificial Intelligence, Cloud ComputingIndustries

Requirements

Experience leading and building high-performing Detection & Response teams in fast-scaling environments
Ability to define team processes, culture, and operating rhythms balancing agility and security discipline
Skills in conducting one-on-ones, providing feedback, and creating career development paths for engineers
Expertise in managing project priorities, deadlines, and deliverables
Knowledge of establishing blameless post-incident cultures focused on systemic improvements
Proficiency in defining and implementing threat management frameworks for proactive threat hunting and detection
Experience architecting incident response processes and escalation frameworks that scale with growth
Capability to guide technology choices and evangelize new security tools, including AI-powered detection using LLMs
Ability to create data-driven insights (inferred from strategic collaboration focus)
Readiness to deliver a comprehensive D&R strategy within the first 6 months and ensure 24/7 operational coverage

Responsibilities

Build, hire, and lead a high-performing Detection & Response team scaling with hypergrowth while maintaining 24/7 operational excellence
Define team processes, culture, and operating rhythms balancing startup agility with security discipline
Conduct regular one-on-ones, provide constructive feedback, and create clear career development paths
Drive outcomes by managing project priorities, deadlines, and deliverables; establish blameless post-incident culture
Define and implement threat management frameworks transforming reactive operations into proactive threat hunting and detection
Architect incident response processes and escalation frameworks protecting Lambda and scaling with growth
Guide technology choices and evangelize new security tools, pioneering AI-powered detection capabilities using LLMs
Create data-driven insights through strategic collaboration for business impact
Implement enterprise-grade detection capabilities and automate incident response workflows
Harden multi-cloud and bare metal infrastructure while building sustainable programs for senior engineers

Skills

Threat Hunting

Incident Response

Detection Engineering

Automation

Multi-Cloud

Bare Metal Infrastructure

AI-Powered Security

LLMs

Lambda

Cloud-based GPU services for AI training

About Lambda

Lambda Labs provides cloud-based services for artificial intelligence (AI) training and inference, focusing on large language models and generative AI. Their main product, the AI Developer Cloud, utilizes NVIDIA's GH200 Grace Hopper™ Superchip to deliver efficient and cost-effective GPU resources. Customers can access on-demand and reserved cloud GPUs, which are essential for processing large datasets quickly, with pricing starting at $1.99 per hour for NVIDIA H100 instances. Lambda Labs serves AI developers and companies needing extensive GPU deployments, offering competitive pricing and infrastructure ownership options through their Lambda Echelon service. Additionally, they provide Lambda Stack, a software solution that simplifies the installation and management of AI-related tools for over 50,000 machine learning teams. The goal of Lambda Labs is to support AI development by providing accessible and efficient cloud GPU services.

San Jose, CaliforniaHeadquarters

2012Year Founded

$372.6MTotal Funding

DEBTCompany Stage

AI & Machine LearningIndustries

201-500Employees

Risks

Nebius' holistic cloud platform challenges Lambda's market share in AI infrastructure.

AWS's 896-core instance may draw customers seeking high-performance cloud solutions.

Existential crisis in Hermes 3 model raises concerns about Lambda's AI model reliability.

Differentiation

Lambda offers cost-effective Inference API for AI model deployment without infrastructure maintenance.

Nvidia HGX H100 and Quantum-2 InfiniBand Clusters enhance Lambda's AI model training capabilities.

Lambda's Hermes 3 collaboration showcases advanced AI model development expertise.

Upsides

Inference API launch attracts enterprises seeking low-cost AI deployment solutions.

Nvidia HGX H100 clusters provide competitive edge in high-performance AI computing.

Strong AI cloud service growth indicates rising demand for Lambda's GPU offerings.

Land your dream remote job 3x faster with AI

Try Jobo Free