Staff Accountant, Normal Computing
$158.4-228k
Offers equity
Generative AI for enterprise
Be an early applicant
Generative AI for enterprise
21-100 employees
Be an early applicant
$158.4-228k
Offers equity
21-100 employees
Company mission
To bridge artificial intelligence to the most sensitive industrial and advanced manufacturing applications around the globe.
Role
Who you are
- 5+ years of accounting experience, including experience building an accounting function at a high-growth startup
- Public accounting experience, with a Big 4 background a plus
- A BA or BS in accounting or a related field, or equivalent experience
- Low ego and high agency: you solve problems wherever you find them, whatever your role or level
What the job involves
- We are hiring a Staff Accountant to build the core of Normal's accounting function as the company scales across two product lines and five offices
- You will partner with our Head of Finance to establish the close process, the systems, and the internal controls that Normal's growth depends on, from revenue recognition through diligence readiness
- Much of this infrastructure is being defined now, which means the work you do shapes how finance operates at Normal for years, and you will build it with AI as a first-class part of the workflow rather than an afterthought
- Own the financial close. Run the monthly, quarterly, and annual close, including accruals, journal entries, account reconciliations, and standard reporting, and work closely with FP&A to deliver reporting of historical financial data
- Implement and maintain accounting systems. Build the systems that support revenue recognition, KPI reporting, and accrual and reconciliation workflows, documenting accounting conclusions and policy positions as the function's precedent
- Manage financial operations. Own tax compliance, external due diligence requests, and AR and AP functions end to end
- Drive process and controls. Lead process improvements, systems improvements, and internal controls that support the company's growth at scale
- Build an AI-native accounting capability. Stand up an accounting function from the ground up that uses AI to move faster and cover more ground, while keeping verification and judgment in your own hands
Our take
As the rate of AI adoption accelerates, Normal Computing is positioning itself to make advanced AI more usable and scalable for enterprises, where ris,, reliability and energy constraints remain major barriers. While generative AI has so far flourished in consumer settings, enterprise use has lagged due to concerns around control, auditability and cost. Normal's approach hopes to unlock these more complex use cases by rethinking how AI systems are built and deployed from the ground up.
At the core of the company's strategy is its Probabilistic AI framework, which gives customers greater control over reliability, adaptivity and auditability when working with private data. This software vision is now being reinforced by a major hardware milestone: the successful tape-out of CN101, the world's first thermodynamic computing chip. By harnessing natural physical dynamics such as stochasticity and noise, CN101 is designed to dramatically improve energy efficiency on AI and scientific workloads, allowing tasks like complex underwriting, probabilistic sampling and large-scale optimization to run faster and within fixed data centre energy budgets.
By tackling both the trust and energy bottlenecks that limit enterprise AI adoption, Normal is expanding its ambition from AI software into next-generation compute infrastructure. With a clear roadmap from CN101 to more advanced chips over the next few years, and substantial funding behind its R&D efforts, the company has the potential to play a meaningful role in shaping how high-performance AI scales in practice.
Freddie
Company Specialist at Welcome to the Jungle
Company
Funding (last 2 of 4 rounds)
Mar 2026
$50m
EARLY VC
Nov 2024
$68.3m
GRANT
Total funding: $135.3m
Company HQ
Civic Center, New York, NY
Leadership
Faris Sbahi
(Co-Founder & CEO)Previously worked as a Research Scientist at X, the moonshot factory, a Software Engineer at Google, and as a Forward Deployed Engineer at Palantir Technologies.
Matthias Tan
(Co-Founder & COO)Venture Partner at NextGen Venture Partners. Former Principal of Strategy and Partnerships at X, the moonshot factory, and Director of Product and Partnerships at Pony.ai.
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