Extract and input accounting-related information with a team of 8–10 people.
Communicate with clients daily via email.
Post and process journal entries to record business transactions.
Assist with balance sheets, income statements, and other financial statements.
Update financial data in databases to keep information accurate and available.
Pull bank statements and match transactions in the software for bank reconciliations.
Identify and flag unmatched and stale-dated transactions for follow-up by the General Accountant.
Perform low-complexity manual rent invoice posting and cash application activities.
Follow standard operating procedures and company protocols for timely, quality daily operations.
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Overview
Proper is an automated accounting startup founded in 2017 by Mark Rojas in San Francisco, California. The company provides AI-powered accounting and bookkeeping services for property managers and real estate operators. Their services include property management accounting, corporate bookkeeping, prior period clean-up, fee management, and owner payments and statements. Proper serves clients with portfolios ranging from 250 to over 50,000 units, including residential, HOA, student housing, single-family, multi-family, and commercial properties. The company uses a subscription-based revenue model with month-to-month contracts, charging clients based on the number of units managed or square footage. Proper has 175 property management and real estate clients. Proper has raised a total of $43.9 million in funding, including a seed round of $4.8 million and a Series A round. As of May 2020, the company's annual recurring revenue was $1.1 million.
Culture
Proper operates with a global team and offers remote positions in Argentina, Colombia, Mexico, and Peru. The company uses AI tools to support parts of the hiring process.
Technology and Engineering
Proper utilizes technologies including HSTS, Google Apps for Business, Amazon Route 53, Amazon CloudFront, FullStory, and AdChoices in Canada. The company's platform includes backend services, data models, and automations for B2B accounting operations. They develop AI-backed document processing and classification services using Python/FastAPI. The technology stack includes microservices architecture with Go, NestJS/TypeScript, and Python. Data modeling and relational databases (PostgreSQL), distributed and cross-service debugging, third-party integration engineering, and reliability practices (observability, structured logging, tracing, failure-mode analysis) are core to their engineering work. Cloud and infrastructure experience with GCP (Cloud Run, Cloud SQL, Pub/Sub), Docker, and CI/CD are also utilized. Experience with LLM-backed services and evaluation of AI-backed output is relevant. Additional software used includes Jira and Hubspot.
Working Conditions
Proper offers remote positions in Argentina, Colombia, Mexico, and Peru for specific roles. Accountant I roles work with teams of 8-10 people. Accounting Manager roles involve managing 4 to 6 direct reports who lead small teams. The company aims for a balance where AI boosts efficiency and innovation.