about 2 hours ago
Remote, WorldwideSenior
Responsibilities
- Own business outcomes for a portfolio of enterprise accounts from kickoff through production and expansion.
- Build semantic models for revenue recognition, cost allocation, general ledger and cost center hierarchies, headcount, and driver-based planning.
- Integrate and map source data across ERP systems, planning systems, and warehouses, including reconciliation of live-data issues.
- Lead working sessions with controllers, FP&A leads, and customer data teams to translate finance concepts into data models.
- Determine whether issues are modeling problems, source-data problems, or product gaps and route them appropriately.
- Provide specific, evidence-based product feedback to inform engineering priorities.
- Create reusable models, templates, and documentation that reduce time to value for future accounts.
Requirements
- At least 5 years of experience building with data in production, with deep SQL fluency and comfort in Python.
- Direct experience with cloud warehouses such as Snowflake, Databricks, or BigQuery and transformation tooling such as dbt or equivalent.
- Working knowledge of financial data, including chart of accounts, allocations, revenue definitions, or financial close processes.
- Experience working directly with enterprise customers, including scoping, pushing back, and communicating bad news early.
- Ability to operate in ambiguous environments and create effective delivery playbooks.
- Strong judgment about when to create a customer-specific solution versus a broadly reusable product capability.
- Familiarity with ERP and planning systems such as NetSuite, Workday, SAP, or Oracle is a strong signal.
- Background in consulting, solutions architecture, or professional services at a data or AI company is a strong signal.
- Experience with regulated buyers, being an early technical hire on a customer-facing team, or working within finance or accounting is valued.
About Preql AI
Preql is the AI-powered data platform built for modern finance teams. It unifies financial and operational data, automates reconciliation, and delivers clean, reliable reporting—without needing engineers or ripping out your ERP stack. Preql makes it simple to answer critical questions about profitability and performance across teams, products, or markets, all from a single source of truth your whole company can trust.