Data Solutions Engineer (AI)

Location: Remote. The company is based in New York.

Company

hirify.global develops data infrastructure that cleans, unifies, and governs enterprise data for AI, analytics, and reporting.

What you will do

• Own business outcomes for a portfolio of enterprise accounts from kickoff through production and expansion.
• Build semantic models for revenue recognition, cost allocation, chart-of-accounts and cost-center hierarchies, headcount, and driver-based planning.
• Integrate and map data across ERP systems, planning platforms, and cloud data warehouses, resolving reconciliation issues with real production data.
• Work directly with controllers, FP&A leaders, and customer data teams to translate finance processes into reliable data models.
• Identify whether issues originate in source data, modeling, or the product, and route each problem to the appropriate owner.
• Create reusable models, templates, documentation, and product feedback that reduce implementation time for future accounts.

Requirements

• 5+ years building and operating data solutions in production, with deep SQL fluency and strong Python skills.
• Hands-on experience with Snowflake, Databricks, or BigQuery and transformation tooling such as dbt.
• Practical knowledge of financial data and experience modeling a chart of accounts, allocation, or financial close process.
• Direct experience working with enterprise customers, including scoping, managing expectations, pushing back, and communicating risks early.
• High tolerance for ambiguity and sound judgment about when to solve an issue for one customer versus building a reusable solution.
• Ability to work across customer environments and connect finance requirements with platform internals.

Nice to have

• Familiarity with NetSuite, Workday, SAP, Oracle, or other ERP and planning systems.
• Background in consulting, solutions architecture, or professional services at a data or AI company.
• Experience working with regulated buyers or within a finance or accounting function.
• Experience as the first or second technical hire on a customer-facing team.

Culture & Benefits

• Small team with limited bureaucracy and high individual ownership.
• Fast-paced environment that values curiosity, independent judgment, and comfort with ambiguity.
• Customer-facing work is designed to become reusable product capability rather than ongoing support or pure services.
• Clear impact milestones include delivering trusted customer output within 90 days and reducing time to value through reusable assets within six months.