AI Solutions Engineer - Accounting

This role requires working from our downtown Toronto office 4 days/week (Mon, Tues, Thurs, Fri). Candidates must be based within a 50-mile commuting distance of the office.

At Opendoor, AI isn’t a side project - it’s how we work. Across the company, teams default to AI to solve problems, ship faster, and remove friction from everything we do. You will help define the future of how we work by building AI powered workflows, automation, and experiences that drive leverage across Finance — spanning month-end close, SEC Reporting, FP&A, Technical Accounting, Tax, Procurement, Accounts Payable, and Payroll. This is high agency work in high ambiguity - turning messy problems into clean solutions, prototyping fast, and shipping.

You'll make systems design and tooling decisions that affect how our Finance operations scale – so we need people who think critically about what and why they build, the impact it will have on our team, and how to measure success. 

We're looking for AI-native builders who know how to automate complex operational workflows. The accounting and finance domain knowledge can be learned — what matters most is that you're wired to build, that you default to AI in how you approach problems, and that you can map messy business processes into clean, automated systems. 

This is a hands-on individual contributor role. You will design, build, and ship automations — not just evaluate tools or write strategy decks.

• →Turn complex Accounting and Finance problems into clear system designs, experiments, and implementation plans
• →Build and maintain AI-powered automation that improves operational efficiency, accuracy, and scale across Finance functions
• →Automate workflows (journal entries, reconciliations, flux analysis) using SQL, Python, and agentic AI
• →Maintain clean, auditable data throughout automated workflows, with dashboards and controls that support both operational and compliance needs
• →Partner with the internal SOX team and external auditors to ensure automated processes meet compliance standards and are well-documented
• →Build and scale AI literacy across the Finance team through runbooks, documentation, best practices, and hands-on training 

• At least 5+ years of work experience building automation, operational workflows, or data systems in any industry. 
• Familiarity with LLM deployment, context engineering and comfortable writing SQL or Python code
• Understanding of machine learning lifecycle concepts: training, evaluation, deployment, monitoring

• Experience in Accounting or Finance 
• Comfort working in regulated or compliance-sensitive environments

You'll work across a range of tools and we expect this list to evolve. Ideal candidates will have experience with the following tech stack:

• AI coding assistants: Claude Code, Cursor, or similar 
• Workflow automation: Gumloop or similar platforms
• MCP integrations
• Agentic AI frameworks or building automation flows 
• Data / ERP platforms: Snowflake, NetSuite, Ramp or similar 

Note: Opendoor provides enterprise-level access to all AI tools listed above. Our engineers currently consume billions of AI tokens per month across the company and are not constrained by token limits or personal account restrictions.