Our client is a tax technology company building an AI-powered platform that automates corporate income tax work for large enterprises. It covers the ASC 740 provision through the disclosures public companies file, including the new ASU 2023-09 income tax disclosures and Pillar Two (GloBE) workflows. The platform connects to ERP and provision systems such as SAP, Oracle and ONESOURCE, and keeps a tax skilled in the loop on every AI-assisted change to a tax computation. It was founded by senior corporate tax practitioners; its customers are enterprise tax departments, typically Fortune 500 scale.
About the roleYou will be the engineer who turns a new client's tax data into a working implementation of the platform. Every client arrives with trial balances, legal-entity structures, provision workpapers, ERP extracts and years of spreadsheets. You own getting that data in, validated and reporting correctly, and handing the client's tax team a system they trust.
This is a hands-on, client-facing engineering role: part data engineer, part solutions consultant.
You will write the scripts, build the reports and sit in the working sessions with client tax teams. You will work alongside the product team and tax subject-matter experts, and you will shape how implementations are run as the company grows.
What you'll do• Own the technical side of client onboarding from kickoff to go-live: map the client's trial balances, entity hierarchies, book-tax differences and provision workpapers to the platform's data model.
• Write Python scripts to extract, clean, reconcile and load client data from ERP exports (SAP, Oracle), provision tools (ONESOURCE Tax Provision and similar) and Excel workbooks.
• Build validation checks that catch tie-out, completeness and mapping issues before the client or their auditors do.
• Build HTML reports and dashboards, such as reconciliation summaries, data-quality reports and client-ready outputs, that tax teams can read without
📌 Client Implementation Engineer (India)
🏢 ProfoundIQ
📍 India
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