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Added
2 days ago
Type
Full time
Salary
$135K - $203K

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Related skills

google sheets netsuite excel bill.com coupa

Lambda, The Superintelligence Cloud, builds Gigawatt-scale AI Factories for Training and Inference. Lambda’s mission is to make compute as ubiquitous as electricity and give every person access to artificial intelligence. One person, one GPU.


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

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

What You’ll Do

  • Oversee the end to end AP process including vendor onboarding, 3 way match, invoice processing, payment runs and Corporate Credit Card transactions

  • Oversee the end to end AR process including customer billing, collections and cash application

  • Partner closely with applicable internal stakeholders to support each process end to end

  • Build and refine credit, collections, and dispute resolution processes

  • Strengthen internal control environment and support SOX / IPO readiness initiatives

  • Support system implementations, upgrades, and integrations (e.g., ERP, billing, procurement systems)

  • Assist with audit requests and compilation of supporting documentation

  • Manage and mentor a growing team of AR/AP specialists, providing coaching and development

  • Set performance expectations, ensure accountability, and foster a culture of continuous improvement

You (Add bullet points)

  • Bachelor’s degree in Accounting, Finance, or related field preferred

  • 5+ years of progressive AR/AP experience, including 2+ years in a supervisory or lead role

  • Experience working within a high-growth or rapidly changing environment is strongly preferred

  • Strong working knowledge of NetSuite

  • Experience with AR/AP workflow tools (ChargeBee, Bill.com, Coupa, Tipalti, Zip, etc.)

  • Proficiency in Excel or Google Sheets

  • Strong understanding of accounting principles and month-end close processes

  • Demonstrated ability to streamline processes and implement automation

  • Excellent communication skills, cross-functional collaboration, and stakeholder management

Nice to Have

  • Experience working in a fast paced, high-growth technology environment

  • Experience with AI, SaaS, or consumption-based business models

  • Demonstrated skill in process automation and system implementations

  • Comfort handling ambiguity and working with minimal supervision

  • Initiative to apply knowledge and recommend well-considered improvements

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, ~400 employees (2025) and growing fast

  • We offer generous cash & equity compensation

  • Our investors include Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, US Innovative Technology, Gradient Ventures, Mercato Partners, SVB, 1517, Crescent Cove.

  • We are experiencing extremely high demand for our systems, with quarter over quarter, year over year profitability

  • Our research papers have been accepted into top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG

  • 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

A Final Note:

You do not need to match all of the listed expectations to apply for this position. We are committed to building a team with a variety of backgrounds, experiences, and skills.

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.

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