---
title: 'Senior Finance Systems Architect at Lambda'
canonical: 'https://feeny.ai/job/senior-finance-systems-architect-lambda-san-francisco-xm8j0m2v06c8'
type: 'job'
last_seen: '2026-10-18'
---

# Senior Finance Systems Architect at Lambda

- **Company:** Lambda
- **Location:** San Francisco, CA
- **Employment:** full-time
- **Work type:** hybrid
- **Posted:** 2026-10-16
- **Last confirmed live:** 2026-10-18
- **Apply:** https://jobs.ashbyhq.com/lambda/04b3e06c-6403-48c6-84b2-c7b849248afc

## Job description

Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.

If you'd like to build the world's best AI cloud, join us.

*Note: This position requires presence in our San Francisco or San Jose office location 4 days per week; Lambda’s designated work from home day is currently Tuesday.

## About the Role

We are seeking an experienced Senior Finance Systems Architect to lead and innovate across our enterprise systems landscape. This role will be pivotal in driving operational excellence through the design, implementation, and optimization of scalable business processes and systems integrations. You will collaborate with cross-functional teams to create seamless workflows across financial systems, supply chain, and customer-facing platforms while leveraging process automation tools and middleware solutions. Your responsibilities will include architecting end-to-end solutions, managing complex system integrations, and building a strategic roadmap for enterprise system enhancements. This role requires strong leadership, deep technical expertise, and a proactive approach to solving business challenges.

## What You’ll Do

- Strategic Leadership: Collaborate with stakeholders across functions to develop and execute scalable system roadmaps, aligning business goals with system capabilities.
- Solution Design & Implementation: Architect and deploy advanced workflows, configurations, and modules in enterprise platforms like NetSuite, Coupa, Stripe, and Chargebee.
- Tooling Selection & Standardization: Lead the evaluation, selection, and implementation of tools and systems across the business to ensure alignment with operational needs, scalability, and long-term goals. Establish standards for system usage and integration.
- Integration & Automation: Manage integrations and optimize iPaaS tools (e.g., Workato, Mulesoft) to ensure seamless data flow, interoperability, and automated processes across platforms.
- Compliance & Optimization: Ensure SOX compliance through robust internal controls, system audits, and governance while driving continuous system improvements.
- Support & Analytics: Troubleshoot complex issues, mentor team members, and deliver actionable insights through advanced reporting and dashboards to support decision-making.

You

- Experience & Certification:
- 10+ years of experience in business systems architecture or administration, including hands-on implementation of enterprise systems.
- Strong understanding of Finance technology stacks, including NetSuite, Coupa, Supply Chain, Asset Management, Billing systems and related business applications
- Certifications in relevant platforms (e.g., NetSuite Administrator, iPaaS) strongly preferred.
- Technical Expertise:
- Proficiency in languages like JavaScript/SQL/ HTML/CSS/Python.
- Strong experience with middleware and low/no-code platforms (e.g., Workato, n8n, Mulesoft, Alteryx) for system integrations & workflow automations.
- Process Automation:
- Demonstrated success in deploying process automation tools to streamline operations and increase efficiency.
- Compliance & Controls:
- Strong knowledge of ITGCs (IT General Controls) and SOX compliance.
- Leadership & Communication:
- Excellent communication skills to effectively collaborate across all levels of leadership from technical staff to senior executives.
- Proven ability to present complex technical solutions in a clear and compelling manner
- AI Automation & Development
- Hands-on experience leveraging AI and machine learning tools to design, build, and deploy intelligent automation solutions that enhance business processes.
- Proficiency with AI-powered platforms and frameworks (e.g., OpenAI, Anthropic, LangChain, or similar) to develop custom workflows, copilots, and agentic solutions.
- Proven ability to identify high-impact automation opportunities and translate them into scalable AI-driven implementations across finance and enterprise systems.

## Nice to Have

- Proficiency in system customization tools like SuiteScript, Salesforce Flow, or equivalent.
- Experience with building Internal AI apps on AWS.

Salary Range Information The annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.

## About Lambda

- Founded in 2012, with 500+ employees, and growing fast
- Our investors notably include TWG Global, US Innovative Technology Fund (USIT), Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, Gradient Ventures, Mercato Partners, SVB, 1517, and Crescent Cove
- We have research papers accepted at top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG
- Our values are publicly available: https://lambda.ai/careers
- We offer generous cash & equity compensation
- Health, dental, and vision coverage for you and your dependents
- Wellness and commuter stipends for select roles
- 401k Plan with 2% company match (USA employees)
- Flexible paid time off plan that we all actually use

## Equal Opportunity Employer

Lambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.

## About Lambda

## Company Overview
- **One-liner**: Lambda builds supercomputers and cloud infrastructure for training and deploying large-scale AI models, from single GPUs to gigawatt-scale AI factories.
- **Entity Type**: Private (funding stage not publicly disclosed; founded by ML engineers)
- **Headquarters**: San Francisco, California, USA
- **Founded**: 2012
- **Founders**: Stephen Balaban and Michael Balaban

## Core Business
- Primary industry: AI infrastructure / cloud computing for machine learning.
- Target customers: Frontier AI labs building large foundation models, hyperscalers scaling global AI infrastructure, and enterprises deploying AI in regulated industries (B2B, Enterprise).
- Mission: “Make compute as ubiquitous as electricity and give everyone in America the power of superintelligence” (also “One person, one GPU”).

## Products & Services
- **The Superintelligence Cloud**: A suite of cloud computing offerings specifically built for AI workloads, including:
  - **GPU Instances**: On-demand NVIDIA HGX B200, H100, and GB300 NVL72 instances for prototyping and testing.
  - **Managed Clusters**: Dedicated, single-tenant clusters (e.g., NVIDIA GB300 NVL72, HGX B200/H100) with full management and co-engineering from Lambda’s team.
  - **1-Click Clusters™**: Rapidly deployable clusters for training and inference.
  - **Superclusters**: Large-scale AI factories integrating high-density power, liquid cooling, and high-bandwidth interconnects.
- **AI Infrastructure Hardware**: Modular AI factory designs and NVIDIA-based systems for on-premise or colocation deployment.

## Market Standing
- **Valuation/Market Cap**: Not publicly disclosed.
- **Key Metric**: Total funding not publicly available; revenue not disclosed.
- **Notable Customers/Partners**: “World’s most advanced AI organizations” (frontier labs, hyperscalers, regulated enterprises). Leadership includes former executives from cloud and networking companies.
- **Growth Signals**: Active hiring across engineering, storage, security, and procurement roles; building AI factories at gigawatt scale; SOC 2 Type II certified; expanding from San Francisco to San Jose, CA.

## Competitive Advantages
- **AI‑First DNA**: 100% of engineering, operations, and support dedicated to AI – founded by ML engineers in 2012.
- **Single‑Tenant Isolation**: Shared‑nothing architecture for security and performance, with hardware‑level isolation.
- **Full‑Stack Expertise**: Co‑engineering from the same team building the infrastructure, enabling deep optimization for large training runs.
- **Hacker Culture**: Rooted in the Noisebridge hackerspace values of do‑ocracy, low ego, and “be excellent to each other.”
- **Performance**: Rack‑scale NVIDIA systems (GB300, B200, H100) with high‑speed interconnects (NVIDIA Quantum‑2 InfiniBand).

## Strategic Focus
- Scaling infrastructure to support the next generation of superintelligence, including gigawatt‑scale AI factories.
- Enabling frontier labs to train trillion‑parameter models and serve billions of tokens in production.
- Expanding compliance and security capabilities for regulated industries.
- Growing the cloud platform (The Superintelligence Cloud) as the primary go‑to‑market offering.

## Why Work Here
- **Culture**: Hacker ethos (Noisebridge roots), low ego, no yelling, no politics, no crypto. Values: build, move fast, care, be excellent to each other.
- **Work Environment**: Fast‑paced, high‑change, outcome‑focused. Emphasis on technical excellence and curiosity. Anonymous feedback encouraged.
- **Interview Process**: Clear, structured steps (recruiter chat → hiring manager → technical assessment → panel interviews → reference/offer). Pedigree is not everything; focus on what you’ve built.
- **Location & Remote**: Offices in San Francisco and San Jose, CA. FAQ page addresses remote/hybrid policy (details not provided in available snippets); some roles appear on‑site.
- **Perks**: Benefits, time off, and other perks are listed on the careers site (specifics not extracted here).

## Sources
1. [lambda.ai/about](https://lambda.ai/about)
2. [lambda.ai/](https://lambda.ai/)
3. [lambda.ai/careers](https://lambda.ai/careers)
4. [lambda.ai/leadership](https://lambda.ai/leadership)

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