L

Lambda

Cloud-based GPU services for AI training

Senior Manager of Detection & Response - Detection and Response

Security Operations & Incident ResponseConfirmed live in the last 24 hours
Full-time

About the Job

Requirements

  • At least 10 years of security experience and at least 5 years leading technical teams, with the ability to build and manage independently.
  • Ability to define and build security programs from the ground up that accelerate business initiatives, including establishing team processes, technical frameworks, and cross-functional partnerships.
  • Ability to build automation-first security programs where technology eliminates repetitive work.
  • Understanding of the unique requirements of securing a cloud infrastructure provider.
  • Ability to create sustainable team cultures where senior engineers can thrive long-term rather than burn out on repetitive tasks.
  • Strong judgment in security response, including understanding business impact and calibrating actions proportionally.
  • Ability to translate technical security work into executive communications and business-aligned metrics.
  • Ability to thrive in high-ambiguity environments while building structure and executing at startup pace.

Responsibilities

  • Build, hire, and lead a high-performing Detection & Response team that can scale while maintaining 24/7 operational excellence.
  • Define team processes, culture, and operating rhythms that balance startup agility with security discipline and create an environment where senior engineers can focus on automation and novel challenges.
  • Conduct regular one-on-ones, provide constructive feedback, and create career development paths to help security engineers advance their technical and leadership skills.
  • Manage project priorities, deadlines, and deliverables, and establish a blameless post-incident culture focused on systemic improvements.
  • Define and implement threat management frameworks that shift security operations from reactive response to proactive threat hunting and detection, and establish automation standards that eliminate repetitive work.
  • Architect incident response processes, escalation frameworks, and triage protocols that protect the company while scaling with its growth.
  • Guide technology choices and promote new security tools, including AI-powered detection capabilities using the company's access to large language models.
  • Create data-driven insights into frequent reactive work to guide investment in preventative controls.
  • Partner with Product and Platform Engineering teams to evolve detection and response capabilities as infrastructure grows.
  • Lead cross-functional collaboration during critical events and establish executive reporting that translates technical incidents into business impact.
  • Drive blameless post-incident reviews to continuously strengthen security posture.
  • Drive weekly operations reviews, build institutional knowledge, and define repeatable processes based on incidents.
  • Define sustainable on-call rotations and operational procedures that maintain 24/7 coverage without burning out senior engineers.
  • Establish the team's six-month strategic roadmap for comprehensive Detection & Response capabilities, with success criteria and measurable outcomes.

Desired Qualifications

  • Interest in leveraging direct access to large language models for security operations, including AI-powered threat hunting, automated security report generation, and intelligent vulnerability prioritization.
  • Experience building Detection & Response programs at AI or machine-learning companies.
  • Experience using AI or machine learning for security operations automation.
  • Experience scaling security during hypergrowth, including 10x growth phases.
  • Deep technical background that enables hands-on contribution when needed.
  • Experience making build-versus-buy decisions for security tooling.
  • Experience driving or providing significant evidence for compliance audits, such as SOC 2, ISO 27001, PCI-DSS, HIPAA/HITECH, or FedRAMP.

About the Company

Lambda

Cloud-based GPU services for AI training

Lambda Labs provides cloud-based GPU services for AI training and inference via its AI Developer Cloud, powered by NVIDIA GH200 Grace Hopper hardware to efficiently train large language models and generative AI. Customers access on-demand or reserved GPUs and are billed by the hour (for example, NVIDIA H100 at about $1.99/hour); it also offers Lambda Echelon, where clients own infrastructure but pay a monthly hosting and support fee, and Lambda Stack, a software suite that helps ML teams install and upgrade tools like PyTorch, TensorFlow, CUDA, cuDNN, and NVIDIA drivers. The company differentiates itself through competitive pricing, available high-end hardware, and an integrated ML software stack that streamlines workflows. Its goal is to enable scalable, affordable AI development and deployment by providing flexible GPU access, reliable hosting, and easy software deployment for teams working with large models.

Company size
501-1,000
Company stage
Late Stage VC
Total funding
$9.1B
Headquarters
San Jose, CA
Founded
2012

Recently Posted Jobs

Explore more opportunities at Lambda

See more jobs