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About Clark
Clark is building the trust infrastructure for the AI economy.
We're starting with audit and accounting workflows—document-heavy, high-trust environments where reliability, accuracy, and security matter as much as product functionality. Our platform helps firms automate complex workflows, deploy AI safely, and modernize how audit teams operate.
The Role
We are hiring a Senior Engineer focused on document processing, OCR, and extraction quality for live workpapers.
This role will own critical systems that turn messy customer documents into usable, reliable data for Clark's AI workflows. You will work across OCR, extraction, document understanding, validation, and product workflows that depend on accurate source material.
Why This Role Matters
Audit workflows depend on documents: workpapers, financial statements, trial balances, invoices, confirmations, schedules, screenshots, PDFs, and spreadsheets.
If document processing is unreliable, product quality suffers. This role directly improves extraction accuracy, customer trust, and Clark's ability to support complex audit workflows in production.
What You'll Do
Build and improve OCR and document extraction systems
Design pipelines for parsing PDFs, spreadsheets, images, and structured/unstructured documents
Improve extraction quality, accuracy, and reliability for live customer workflows
Build validation systems and confidence scoring around extracted data
Partner with AI engineers to make extracted data usable in LLM workflows
Partner with Audit Engineers to understand document types and customer edge cases
Debug extraction failures and improve system performance over time
Build tooling to monitor and evaluate document processing quality
Support workpaper automation and evidence review workflows
Who You Are
5+ years of software engineering experience
Experience building production data, document, OCR, or extraction systems
Strong backend engineering fundamentals
Strong debugging and data quality instincts
Experience working with PDFs, spreadsheets, images, or unstructured documents
Comfortable building systems where correctness and reliability matter
Strong ownership and ability to operate independently
Bonus
Experience with OCR, computer vision, document AI, or information extraction
Experience with LLMs or AI-native document workflows
Experience in accounting, audit, financial services, legaltech, insurance, or compliance
Experience building evals or quality measurement systems
Experience with large-scale document pipelines
The Environment
5 days a week on-site in NYC — no remote or hybrid
Startup hours and pace — this isn't a 9-to-5
Flat structure, no hierarchy — everyone ships
High ownership — you own outcomes, not just tasks
Benefits
Unlimited PTO
Wellhub Platinum membership
Comprehensive health, dental, and vision coverage
Free company dinner every day
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