Full-Time
Accounting Manager
Span
201-500 employees
Real-time energy management via smart panel
Compensation Overview
$140k - $200k/yr
San Francisco, CA, USA
Hybrid
Hybrid role in San Francisco.
 Accounting (1) |
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- Demonstrated experience and knowledge of generally accepted accounting principles and accruals.
- At least 5 years of hands-on experience with contract manufacturing and consignment inventory accounting in a manufacturing or hardware environment, revenue recognition under ASC 606, and lease accounting under ASC 842.
- Experience handling accounting and reporting for Special Purpose Vehicle entities and managing or supporting standalone entity reporting.
- Experience running the accounting close process and managing expectations, communications, and deadlines.
- Experience with month-end close, balance sheet reconciliations, and flux or variance analysis.
- Recent proficiency with Microsoft Office Suite and intermediate to advanced Excel skills.
- Proficiency with NetSuite.
- Ability to build cross-functional relationships and communicate financial concepts clearly to non-finance partners.
- Prior experience mentoring, coaching, or managing direct reports.
- Ability to operate in a fast-paced, high-growth environment while remaining agile and adaptable.
- High degree of accuracy and attention to detail.
- Proactive, self-motivated, and able to take initiative and work with little supervision.
- Ability to work collaboratively and adapt to changing needs and priorities.
- Own inventory and cost accounting for products manufactured through contract manufacturers and electronics manufacturing services partners, including standard costing, purchase price variance analysis, and overhead absorption.
- Manage full-cycle consignment accounting for inventory held at contract manufacturing, electronics manufacturing services, and distribution partner locations, including transfers, usage reporting, and reconciliation against counterparty records.
- Maintain inventory valuation and reserves for slow-moving, excess, and obsolete inventory in accordance with generally accepted accounting principles.
- Partner with Supply Chain and Operations to validate inventory movements, cycle counts, and cost data integrity within the enterprise resource planning system.
- Lead or support monthly, quarterly, and annual close processes, including preparation and review of journal entries.
- Prepare and review balance sheet reconciliations, perform flux analysis, and deliver supported variance explanations to Finance leadership.
- Assist the Senior Manager, Accounting with financial statements and supporting schedules.
- Maintain audit-ready documentation and serve as a key point of contact for external auditors, including preparing provided-by-client items and responding to audit inquiries.
- Prepare and review revenue recognition entries under ASC 606 using a semi-automated revenue process or system.
- Prepare and review lease accounting entries under ASC 842, including right-of-use asset and lease liability schedules.
- Identify and help implement process improvements to increase automation and reduce close cycle time.
- Mentor and coach direct reports as applicable, providing technical accounting guidance and supporting professional growth.
- Foster accountability, curiosity, and continuous improvement within the accounting team.
- Build relationships with Supply Chain, FP&A, and Legal to align accounting treatment with business operations and contract terms.
- Translate accounting concepts into practical business guidance for cross-functional stakeholders.
- Support ad hoc projects, system implementations, and process improvements across the Accounting organization.
- Experience writing technical accounting analyses and memoranda.
- Manufacturing or electrification industry experience.
- Public accounting experience.
- Certified Public Accountant credential.
- Experience with FloQast, BlackLine, Salesforce, or Boomi.
Span.io provides home energy management through the SPAN Panel, a smart electrical panel that lets you monitor and control energy use circuit by circuit via the SPAN Home App. It works with existing or new home energy setups, including storage and EV chargers, and can schedule EV charging for off-peak times and prioritize essential circuits during outages to extend battery life. The company aims to lower home energy costs and enable upgrading appliances without expensive electrical service work, claiming savings of around 15% on bills and 40% longer battery life. It also runs an Authorized Installer program that trains electricians and offers lead generation to create an extra revenue stream for installers, targeting homeowners in older homes that can’t upgrade service.
Company Size
201-500
Company Stage
Late Stage VC
Total Funding
$393.1M
Headquarters
San Francisco, California
Founded
2018
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See people who can refer or advise you
Simplify's Take
What believers are saying
- Eaton's March 2026 partnership expands distribution into home electrification channels immediately.
- XFRA launched on 2026-04-13 with NVIDIA and PulteGroup, signaling credible demand.
- SPAN reported a $163.3 million financing in January 2026, funding product and rollout execution.
What critics are saying
- XFRA depends on utilities, tariffs, and permitting; one hostile state can block rollout.
- Residential compute adds safety, outage, and homeowner churn risk before the 2027 scale target.
- If hyperscalers reject home-based capacity, SPAN becomes a niche panel vendor and burns its cash.
What makes Span unique
- SPAN owns the smart panel layer that controls circuits, batteries, and EV charging.
- Eaton invested $75 million on 2026-03-09, validating SPAN's residential power platform.
- XFRA ties SPAN panels to NVIDIA GPUs and PulteGroup homes, creating distributed compute infrastructure.
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Benefits
Competitive salary
Comprehensive benefits
6-month parental leave
Unlimited PTO
Teambuilding & career growth
Growth & Insights and Company News
6 month growth
↑ 1%1 year growth
↓ -2%2 year growth
↓ -8%California startup Span is partnering with Nvidia and homebuilder PulteGroup to install compact AI computing units outside new residential homes. The XFRA nodes, roughly the size of HVAC condensers, contain enterprise-grade hardware for running AI workloads. Span installs the units at no upfront cost to homeowners, who pay a flat monthly fee. Homeowners may receive compensation based on energy and compute usage, potentially lowering overall utility costs rather than generating profit. The company claims it can deploy 8,000 units six times faster and at one-fifth the cost of building a comparable traditional data centre. A proof-of-concept trial involving approximately 100 homes is underway, with broader rollout planned for later this year. The initiative addresses growing data centre power demands and grid interconnection delays. It currently focuses on new construction only.
Startups are installing cabinet-sized data centres in homes to reduce electrical grid strain, with California-based Span partnering with Nvidia to deploy prototype units called XFRA in Northern California. The quiet, fan-free units generate one to two megawatts of compute power, with capacity expected to exceed one gigawatt annually from next year. Span charges hosts approximately $150 monthly whilst covering their electricity and internet bills, selling the computing power to hyperscalers and AI companies. UK startup Heata takes a different approach, using server heat to warm water for domestic use, claiming to have saved about one gigawatt-hour of energy across 100 homes. However, physicist Robert Davies warns these solutions may encourage greater data centre expansion through Jevons paradox, where increased efficiency drives higher overall consumption.
Startups are installing tiny data centers in people's homes to reduce strain on the beleaguered electrical grid. Sasha Rogelberg Amidst the anxiety and disdain for data center growth, startups see an opportunity by designing mini data centers to install in homes that have less of a financial burden on residents, as well as a potentially lower ecological footprint than warehouse data centers. California-based Span, in partnership with Nvidia, has deployed prototype data center "nodes" in Northern California. The cabinet-sized units, dubbed XFRA, are installed on the sides of homes and small businesses. Requiring no fans, the technology is quiet, mitigating the problem of noise pollution that has drawn the ire of residents of areas with nearby warehouse data centers. Ryan Harris, chief revenue officer of Span, said the company estimates XFRA will be able to generate about one to two megawatts worth of compute later this year, scaling across the country to an annual capacity of more than 1 gigawatt beginning next year. PulteGroup, among the largest homebuilders in the U.S., is testing the system. Nvidia will provide the liquid-cooled RTX PRO 6000 Blackwell Server Edition GPUs for the system. "We do see a path to being able to contribute on an annual basis hundreds of megawatts, if not gigawatts, of scale compute capacity, while doing so in a deflationary-to-energy-price way," Harris told Fortune. All the while, tensions between hyperscalers and residents have been mounting over AI's rising costs and environmental impacts. With data centers the size of dozens of football fields combined sprouting up around the country, residents have protested the construction of AI infrastructure, which McKinsey projected to touch $7 trillion in capital expenditures by 2030. The warehouses erected to store and process massive amounts of data have strained the U.S.'s already beleaguered grid system, potentially driving up electric bills by 6% over the next year, according to Goldman Sachs research. That's on top of concerns that data centers are guzzling water as part of their cooling systems. Two data center developments, one in Arizona and one in Georgia, took public water without authorization, and a recent study by the Houston Advanced Research Center projected the centers would drain as much as 399 billion gallons of water in Texas alone by 2030. "We know what a big project this is, and what a nuisance it's going to be, and what environmental impact it's going to have on this area," Kathryn Haushalter, a 42-year-old former U.S. Marine living in Saline Township, Michigan, across a future data center site, recently told Fortune. "I'm just so nervous for everybody else that doesn't realize."
SPAN.IO CEO discusses costs of home AI data centers. Updated: May 15 2026 * Installation Cost: SPAN.IO CEO Arch Rao states that installing an AI data center at home costs nothing, allowing consumers to benefit from free energy and internet services through existing power distribution networks, thereby reducing long-term expenses and enhancing quality of life. * Market Potential: With approximately 1 million single-family homes built annually in the U.S., deploying this technology in just 5% to 10% of these homes could meet the annual inference compute demand, showcasing significant market scale and economic benefits. * Technical Collaboration: SPAN.IO is partnering with NVIDIA to develop liquid cooling systems designed to integrate efficient computing capabilities into homes, enhancing service quality and promoting the adoption of home data centers, thereby solidifying its market position in the AI sector. * User Experience Optimization: The new system operates at 60 decibels, quieter than standard air conditioning units, ensuring that users enjoy economic benefits without noise disruption, thus improving user satisfaction and market acceptance. Trade with 70% backtested accuracy. Stop guessing "Should I Buy NVDA?" and start using high-conviction signals backed by rigorous historical data. Sign up today to access powerful investing tools and make smarter, data-driven decisions. | / | NVDA Close: 215.300 | / | | / | / | / | Analyst views on NVDA. Wall Street analysts forecast NVDA stock price to rise 41 Analyst Rating 20.71% Upside Strong Buy Current: 219.510 Goldman Sachs 2026-05-20 Goldman Sachs maintains the firm's buy rating with a $250 price target on Nvidia after its Q1 results but believes the stock should trade higher after earnings. The company reported a strong quarter and guidance relative to consensus estimates and against relatively bullish expectations heading into the print, the analyst tells investors in a research note. Nvidia's capital allocation announcements - buyback increase of $80B and dividend increase - are also "incrementally supportive" of the stock, the firm added. $295 -> $325 2026-05-19 HSBC analyst Frank Lee raised the firm's price target on Nvidia to $325 from $295 and keeps a Buy rating on the shares. The firm expects the company to report a "beat and raise" fiscal Q2 on May 200. Nvidia shares have underperformed peers over the last six months despite having two conference events and two sets of financial results that beat estimates and raised expectations, the analyst tells investors in a research note. The firm believes the company needs to show evidence of diversifying its non-cloud service provider customer base to fuel its AI graphics processing unit momentum. Unlock Full Analyst Thesis, Get the complete breakdown of rating reason for NVDA Unlock Now Valuation of NVDA. NVIDIA Corp (NVDA) is now in the Fair zone, suggesting that its current forward PE ratio of 27.03 is considered Fairly compared with the five-year average of 42.70. The fair price of NVIDIA Corp (NVDA) is between 125.90 to 524.07 according to relative valuation methord.
SPAN, a startup that builds digital power control systems for homes, plans to create a network of distributed AI data centers by installing compute nodes in residential properties. CEO Arch Rao explained the company will place boxes resembling air conditioning compressors alongside new homes, containing 12.5 kilowatts of computing power and cooling capacity. The system aims to address the growing demand for AI inference computing whilst utilising existing electrical grid capacity. Starting with new home construction, each node will connect to standard 200-amp home power supplies and fibre connectivity. The distributed network would function similarly to cloud services like AWS, processing AI queries across thousands of locations rather than centralised data centres. SPAN has spent eight years developing the underlying power control technology, originally designed to support home electrification like EV chargers and heat pumps.