Sr. Business Systems Architect at Lambda

San Francisco, California, United States

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$206,000 – $310,000Compensation

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

Full TimeJob Type

UnknownVisa

Artificial Intelligence, Cloud Computing, TechnologyIndustries

Requirements

Experienced in leading and innovating across enterprise systems landscapes
Strong leadership skills
Deep technical expertise in architecting end-to-end solutions and managing complex system integrations
Proactive approach to solving business challenges
Expertise in enterprise platforms such as NetSuite, Netbox, ServiceNow, and Salesforce
Experience with iPaaS solutions (e.g., Workato, Mulesoft, Alteryx)
Knowledge of SOX compliance, ITGCs, internal controls, and system audits
Ability to design and support processes in NetSuite Inventory, NetAsset, Netbox, Hyperview, ServiceNow (CMDB), and related applications
Experience integrating inventory data from procurement systems and infrastructure tools
Knowledge of accounting rules, depreciation logic for capital assets and leases, CIP conversion to fixed assets, depreciation schedules, reconciliations, and controls across inventory, GL, and physical deployment

Responsibilities

Partner with stakeholders across Finance, Data Center Operations, and Engineering to define and execute scalable system roadmaps
Align enterprise system capabilities with long-term business and operational goals
Architect, configure, and deploy advanced workflows, modules, and configurations in enterprise platforms such as NetSuite, Netbox, ServiceNow, and Salesforce
Lead technical design sessions with product managers and business stakeholders, translating requirements into system configurations, customizations, and scripts
Evaluate, select, and implement enterprise tools and systems to meet operational needs and ensure scalability
Establish governance standards for tool usage, integration practices, and long-term support models
Manage integrations and optimize iPaaS solutions (e.g., Workato, Mulesoft, Alteryx) for automated workflows and interoperability across platforms
Partner with Integration and Data Engineers to embed Financial and Operational applications into broader system and data ecosystems
Ensure SOX compliance through effective ITGCs, internal controls, and system audits
Continuously improve systems, processes, and reporting for accuracy, reliability, and scalability
Troubleshoot complex system issues and provide escalated technical support
Mentor junior team members, fostering a collaborative and growth-oriented environment
Deliver actionable insights through advanced reporting, saved searches, and dashboards to inform decision-making
Design and support processes in NetSuite Inventory, NetAsset, Netbox, Hyperview, ServiceNow (CMDB) and similar or related applications
Integrate inventory data from procurement systems and infrastructure tools
Implement accounting rules and depreciation logic for capital assets and leases
Support CIP (Construction in Progress) conversion to fixed assets and ensure accurate depreciation schedules
Build reconciliations and controls across inventory, GL, and physical deployment
Partner with Data Center Infra Ops, Inventory Control

Skills

Key technologies and capabilities for this role

System IntegrationsProcess AutomationMiddlewareEnterprise ApplicationsFinancial SystemsSupply Chain ManagementAnalyticsCompliance AutomationIT OperationsWorkflow Optimization

Questions & Answers

Common questions about this position

What is the salary range for the Sr. Business Systems Architect position?

The salary range is $206K - $310K.

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

This is a hybrid role requiring presence in the San Francisco or San Jose office 4 days per week, with Tuesday designated as the work-from-home day.

What are the key skills and expertise required for this role?

The role requires experience architecting workflows in NetSuite, Netbox, ServiceNow, and Salesforce, managing iPaaS solutions like Workato, Mulesoft, and Alteryx, and strong leadership with deep technical expertise in system integrations and automation.

What is the team structure and company culture like at Lambda?

Information Systems partners across Finance, GTM, Engineering, and People to implement tools and automate workflows, collaborating with cross-functional teams like Data Center Operations to drive operational excellence.

What makes a strong candidate for the Senior Business Systems Architect role?

Strong candidates have experience leading strategic system roadmaps, architecting end-to-end solutions in enterprise platforms like NetSuite and Salesforce, and managing complex integrations with tools like Workato, along with expertise in compliance and stakeholder collaboration.

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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