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SqlDBM is seeking a Staff Accountant to handle general ledger, journal entries, reconciliations, and month-end close within a growing SaaS company.
You will own core accounting tasks, support revenue recognition for SaaS contracts, and assist with audits and tax processes in a hybrid work setup.
SqlDBM is seeking a detail-oriented Staff Accountant to support the day-to-day accounting operations of a rapidly scaling SaaS company. Reporting directly to the Controller, you will own core general ledger work — journal entries, bank and account reconciliations, and month-end close support — while helping to maintain the accuracy, timeliness, and integrity of our financial records under GAAP.
This is a hands‑on role with room to grow. You will gain exposure to SaaS revenue and a modern finance systems stack, and take on increasing ownership as the accounting team grows.
SqlDBM is an equal opportunity employer. We're committed to building an inclusive team that welcomes diversity of perspectives, people, and backgrounds regardless of race, color, ancestry, national origin, sex, gender (including pregnancy, breastfeeding, and related medical conditions), sexual orientation, gender identity and expression, age, religion, creed, disability, medical condition, genetic information, marital status, citizenship, military or veteran status, or any other protected status under applicable law. SqlDBM will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law.
We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact the People Experience Team to learn how to request accommodation.
Compensation Range: $90,000–$105,000 salary base (based on experience)
Company-wide Annual Bonus Opportunity: Up to 10% of employees' base salary
SqlDBM is the enterprise data modeling platform built for collaborative teams. We give large-scale data organizations one platform to design schemas, govern metadata, and build a governed semantic layer their people and AI agents can trust, from first design to production. We're growing rapidly and looking for people to join our fun, remote-first startup.