Corporate Accounting Manager at Baseten
Remote · San FranciscoG&AFull-timePosted about a month ago$170K–$210K per year
About the role
As published on Baseten's job board.
ABOUT BASETEN
Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F https://www.baseten.co/blog/announcing-our-series-f/, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products.
THE ROLE
We’re looking for a Corporate Accounting Manager to support the general ledger, the close, and our accounting processes and controls as Baseten scales. This is a hands-on, individual-contributor role for someone who wants full ownership of the core accounting function at a company where the entity structure, transaction volume, and reporting requirements are growing quickly.
You’ll join the corporate accounting team and take on the general ledger, vendor contract review, the close calendar, and our internal control environment as the business grows. We are focused on tightening close procedures, strengthening controls, and building reporting rigor to support the scale ahead. You’ll partner closely with FP&A, Data, and cross-functional partners to make sure the books close on time and accurately every cycle.
Baseten is building the infrastructure layer for AI-native companies, and we're scaling quickly - in headcount, entity structure, transaction volume, and contract complexity and volume and vendor size. If you want real ownership over a growing function on a lean team, this role offers real scope.
RESPONSIBILITIES
General Ledger and Financial Reporting
- Own day-to-day execution of general ledger journal entries, account reconciliations, and monthly financial statement preparation as the entity structure grows
- Own recurring close areas, including accruals, prepaids, fixed assets, and equity compensation
- Lead month-end and year-end close, setting the calendar and holding FP&A, Data, and cross-functional partners so the books close on time every cycle
- Prepare and review monthly financial statements and flux analysis for accounting and finance leadership
- Identify and automate the manual, error-prone steps that slow the close down
Controls and Audit
- Partner directly with cross-functional teams and external auditors to keep internal controls tight and the company audit-ready
- Own audit deliverables, including technical accounting memos, schedules, and sample testing support
Systems and Cross-Functional Partnership
- Support day-to-day administration and maintenance of our accounting systems stack, including NetSuite and our spend management platform, and push for automation over manual workarounds
- Partner with FP&A on reporting, forecasting inputs, and variance analysis
- Support FP&A, Legal, and Procurement on the accounting implications of new entities, contracts, and programs
REQUIREMENTS
- 5+ years of progressive accounting experience, including 3+ years focused specifically on corporate accounting, general ledger, and close management
- Deep working knowledge of US GAAP across core corporate accounting areas, including accruals, prepaids, fixed assets, debt and leases
- Hands-on experience owning account reconciliations and preparing monthly financial statements
- Experience owning the close calendar directly, not just contributing to a close run by someone else
- Public company or audit-ready private company experience (Big 4 or industry, with audit exposure)
- Builder mentality with a bias toward execution; comfortable operating on a lean team relative to company scale
- Experience with NetSuite (or comparable ERP) and a modern spend management platform
- Based in San Francisco or New York, with the ability to work in-person 3+ days per week
NICE TO HAVE
- Experience at a high-growth, venture-backed infrastructure or cloud company
- Experience supporting multi-entity or international consolidations
- Integrate AI tools to optimize/redesign workflows and drive measurable impact
- CPA
- Exposure to SOX or SOX-readiness controls work
BENEFITS
- Competitive compensation, including meaningful equity
- (U.S. only) 100% coverage of medical, dental, and vision insurance for employee and dependents
- Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!)
- Paid parental leave
- Fertility and family-building stipend through Carrot
- (U.S. only) Company-facilitated 401(k)
- Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities.
Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you.
At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status.
We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).
Before you apply
- Scan your resume against this posting to see which of its terms you are missing.
- Tailor your resume so the summary and bullets use the posting's own wording where it is true for you.
- Read the operations resume guide and the interview questions for the role.
- Apply on Baseten's site. Applications never pass through OneTwo Resume.
About Baseten
Inference platform for deploying and scaling open-source and custom AI models.
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