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Controller

Periodic Labs· Business and Operations
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Menlo Park, CA$250k - $300kFull-timePosted 2w ago

About the role

We’re an AI and physical sciences company building state-of-the-art models to accelerate breakthroughs across materials, energy, and beyond. We’re hiring our first in-house Controller to own the integrity and day-to-day operation of Periodic Labs’ accounting function, including accounting, financial reporting, controls, audit readiness, and compliance. This hands-on builder role involves shaping the accounting function, building systems, and potentially growing an internal team across a multi-entity organization.

Responsibilities

  • Own the monthly, quarterly, and annual close process, including the general ledger, consolidations, reconciliations, accruals, journal entries, and preparation of GAAP financial statements.
  • Manage daily accounting operations, build and maintain robust processes across procurement, vendor management, employee expenses, revenue, and capital expenditure management.
  • Develop a close and reporting cadence that gives leadership reliable visibility into the income statement, balance sheet, cash flow, working capital, and material period-over-period changes. Partner with Strategic Finance to deliver clean actuals for forecasts, runway analysis, board materials, investor reporting, and operating decisions.
  • Own accounting policies and technical conclusions for areas such as leases, fixed assets and leasehold improvements, prepaid services, equity and stock-based compensation, R&D arrangements, capitalization, foreign currency, and emerging commercial agreements.
  • Oversee accounting for Periodic Labs’ U.S. and international entities, including intercompany activity, statutory reporting, payroll-related obligations, and coordination of U.K., Canadian, and U.S. compliance requirements.
  • Continue enhancing NetSuite functionality and its integration with supporting systems to ensure scalable, flexible reporting at the appropriate level of detail as the company grows.
  • Work cross-functionally with Legal, People, Operations, Lab Operations, and technical teams to evaluate the accounting and control implications of new contracts, programs, facilities, and business models.
  • Be the key point of contact with external advisors (e.g. auditors, tax advisors).

Qualifications

  • 10+ years of progressive accounting experience, including meaningful ownership of an end-to-end accounting function. Experience leading or playing a central role in building up a company’s accounting team from ground up.
  • An active CPA license and strong command of U.S. GAAP.
  • A track record leading and managing an accounting team with clear standards and accountability.
  • Deep, hands-on experience with monthly close, financial-statement preparation, balance sheet reconciliations, audit support, and internal controls.
  • Strong NetSuite experience and familiarity with modern finance tools such as Ramp and Rippling.
  • Experience in a rapidly growing, venture-backed company where processes, systems, and responsibilities are still being built.
  • The ability to move comfortably between technical accounting questions and detailed operational work. You are willing to investigate a reconciliation, review an invoice, or write an accounting memo yourself.
  • Clear written and verbal communication skills, including the ability to explain accounting issues to people without accounting backgrounds.
  • High integrity, strong attention to detail, and operate with agency.

Skills

Required:Close managementGAAP knowledgeNetSuiteLeadership & team building
Last updated Oct 14, 2026. Interested? Apply on the company site.

About Periodic Labs

From bits to atoms.

Periodic Labs is an artificial intelligence research company pioneering the next leap in scientific discovery. We operate at the intersection of machine learning and scientific experimentation under the thesis that that true understanding of the universe is only possible by interacting and experimenting on it.

artificial intelligencescientific discoverymachine learningscientific experimentation

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