Accounts Payable Accountant

Reposted 7 Days Ago
San Jose, CA, USA
Hybrid
94K-125K Annually
Mid level
Software
The Role
Manage Accounts Payable processes including invoice coding, approvals, payments, vendor communication, month-end close, and optimizations using Coupa and AI.
Summary Generated by Built In

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 Jose office location 4 days per week; Lambda’s designated work from home day is currently Tuesday.

What You’ll Do

  • Manage Accounts Payable and ensure a smooth Procure-to-Pay process

  • GL coding of vendor invoices, submit invoices for approval, weekly pay runs, vendor communication, month-end close, accruals, and reconciliations

  • Ensure invoices are entered accurately and completely, agree to vendor contract/terms, and correctly reflect the company's chart of accounts in the accounting system

  • Take advantage of discount terms when available

  • Produce a weekly AP Aging and analyze which payments should be made to vendors

  • Preparation and posting of payments, ensuring completeness and accuracy

  • Review vendor statements for missing or outstanding invoices

  • Correspond with vendors to resolve discrepancies and manage vendor inquiries

  • Create and manage vendors, maintain W9 database, and monitor the AP inbox

  • Review company credit card transactions for accuracy and employee compliance to T&E policies

  • Optimize AP procedures using Coupa as well as using AI in your day to day activities.

You

  • Have an Associates degree or Bachelor’s degree and 3+ years of Accounts Payable experience

  • Can follow established controls to safeguard company assets

  • Are analytical with strong conceptual and problem-solving skills

  • Are detail oriented with superb organizational skills

  • Can work in a fast paced environment and meet tight deadlines

  • Have excellent verbal and written communication skills

  • Have a strong proficiency with Excel and adaptability to new technology and tools such as AI

  • Have excellent project management skills

  • Experience with vendor relationship management

  • Are a self-starter who can take on new initiatives without being asked to do so

  • Provide support needed to achieve a timely month end close

Nice to Have

  • Netsuite, Salesforce, Coupa, Stripe, AI experience

  • Data center, cloud infrastructure, or hardware industry experience

  • pre-IPO, post-IPO experience, public company experience

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

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.

Skills Required

  • Associates or Bachelor's degree
  • 3+ years of Accounts Payable experience
  • Strong proficiency with Excel and adaptability to new technology
  • Excellent project management skills
  • Experience with vendor relationship management

Lambda Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Lambda and has not been reviewed or approved by Lambda.

  • Fair & Transparent Compensation Pay is considered competitive for an AI infrastructure company, with posted ranges and observed offers indicating strong packages for senior technical roles. Compensation is often characterized as competitive or top‑shelf, aligning with market expectations.
  • Healthcare Strength Health, dental, and vision coverage are characterized as strong, with broad‑network plans noted and positive experiences highlighted. This foundation supports overall satisfaction with core insurance benefits.
  • Leave & Time Off Breadth Flexible or unlimited PTO is described as actually used, complemented by paid holidays and sick time. Generous parental leave examples further expand the time‑off offering.

Lambda Insights

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The Company
HQ: San Francisco, CA
106 Employees
Year Founded: 2012

What We Do

Lambda provides computation to accelerate human progress. We're a team of Deep Learning engineers building the world's best GPU workstations and servers. Our products power engineers and researchers at the forefront of human knowledge. Customers include Microsoft, MIT, Los Alamos National Lab, Disney, Tencent, Kaiser Permanente, Stanford, Harvard, Caltech, and the Department of Defense.

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