Senior Enterprise Risk Manager at Lambda

San Francisco, California, United States

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$244,000 – $340,000Compensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

AI Infrastructure, Cloud Computing, TechnologyIndustries

Requirements

10+ years of risk management experience, ideally in cloud infrastructure, financial services, or large-scale technology/energy industries
Deep knowledge of ERM frameworks (e.g., COSO, ISO 31000) and risk management best practices
Ability to present key initiatives to executive leadership and Board and drive strategic decisions regarding risk management
Strong analytical skills
Executive presence and credibility to advise executives and the Board on risk strategy

Responsibilities

Design and implement Lambda’s Enterprise Risk Management (ERM) framework, policies and governance aligned with rapid AI infrastructure scaling
Drive risk culture and awareness across all business units
Assess risks related to large-scale data center procurement, long-term customer contracts, and multi-billion-dollar financing structures
Partner with Finance on capital markets risk (debt, liquidity, interest rates, covenants) and with Operations on construction, vendor, and supply chain risks
Monitor external risks such as regulatory shifts, geopolitical uncertainty, and evolving AI industry dynamics
Oversee enterprise-wide risk assessments, including emerging risks and strategic threats
Evaluate business processes, controls, and external environment to identify potential vulnerabilities
Define risk appetite and tolerance levels, ensuring alignment with growth objectives and stakeholder expectations (including Lambda’s board)
Develop metrics and risk appetite/tolerance statements
Build a risk dashboard for executives and the Board, highlighting exposures, mitigation strategies, and emerging threats
Provide regular reporting to executive leadership, the Audit & Risk Committee, and the Board on key risks, trends, and mitigation strategies
Act as a trusted advisor to executives, business and functional leaders, ensuring risks are considered in strategic initiatives, new products, major contracts, financings and large-scale projects
Lead scenario analyses (e.g., supply chain disruptions, interest rate spikes, power shortages) to stress-test the business model
Ensure business continuity planning is robust and scalable
Lead scenario planning, stress testing, and contingency planning exercises
Ensure compliance with regulatory expectations related to risk governance
Attract, mentor and grow risk professionals while building a culture of accountability and risk awareness across Lambda

Skills

Key technologies and capabilities for this role

Enterprise Risk ManagementERM FrameworkRisk AssessmentRisk MitigationStrategic RiskFinancial RiskOperational RiskCompliance RiskCapital Markets RiskData Center ProcurementGovernanceRisk Culture

Questions & Answers

Common questions about this position

What is the salary range for the Senior Enterprise Risk Manager position?

The salary range is $244K - $340K.

Is this role remote or hybrid, and what are the office requirements?

The position is hybrid and requires presence in the San Francisco/San Jose office 4 days per week, with Tuesday designated as the work-from-home day.

What skills and experience are required for this role?

The role requires deep experience in risk oversight within high-growth, capital-intensive industries, strong analytical skills, and executive presence with the credibility to advise executives and the Board on risk strategy.

What is the company culture like at Lambda?

Lambda is a rapidly scaling AI cloud infrastructure company focused on building the world's best deep learning cloud, with a mission to make compute ubiquitous and support demanding AI workloads through major investments in data centers.

What makes a strong candidate for this Senior Enterprise Risk Manager role?

A strong candidate is a proven risk leader with experience in high-growth, capital-intensive industries, strong analytical skills, executive presence, and the ability to partner with executives on strategic risks.

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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