Senior Security GRC Analyst at Lambda

San Francisco, California, United States

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$154,000 – $231,000Compensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Artificial Intelligence, Cloud Computing, TechnologyIndustries

Requirements

Minimum of 8 years of experience supporting cybersecurity risk or controls management programs with in-depth knowledge of cybersecurity frameworks including ISO 27001 and 27701, PCI-DSS, SOC, NIST CSF and other regulatory requirements
Experience managing and running audits, certification programs and control assessments, including scope planning, defining control procedures based on requirements, policies and standards, control testing, and mapping issues to risks
Experience collaborating closely with engineers, business teams, and security partners (e.g., incident response, red teams, architects) to incorporate cybersecurity controls and risk management processes into day-to-day operations
Strong ability to define, drive and execute a program vision, strategy, approach and milestones in alignment with organization priorities and initiatives

Responsibilities

Validate and verify the organization's security controls and practices meet the requirements of ISO 27001, 27701, PCI, SOC 2 and other relevant regulatory requirements to ensure alignment to business objectives
Manage IT Risk Register including risk identification, tracking, and prioritization
Assist with and drive remediation of control deficiencies and gaps
Provide guidance to Control Owners in the planning, design, implementation, operation, maintenance & remediation of control activities and other supporting requirements (e.g., policies, standards, processes, system configurations)
Communicate with technical and non-technical stakeholders and leaders on cybersecurity risk and controls management topics and program-specific reporting
Assist with the Customer Trust program which may include managing customer assessments and security questionnaires

Skills

ISO 27001

ISO 27701

PCI-DSS

SOC 2

NIST CSF

GRC

Risk Management

IT Risk Register

Security Controls

Audits

Control Assessments

Compliance

Remediation

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.

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