[Hiring] Forward Deployed Financial Engineer @Datarails

Role Description

Come build the future of finance with Datarails. We're a global, AI-powered FinanceOS company helping finance teams transform the way they work. By combining intelligent automation, AI, and seamless integrations with the tools finance teams already know and trust, we empower organizations to make faster, smarter decisions with confidence. This position is 100% remote, based anywhere in the United States. No sponsorship or relocation assistance is available.

We are hiring for two focus areas on this team. This posting is for the Applied AI focus. As a Forward Deployed Financial Engineer , you will lead the discovery and delivery of Datarails' AI transformation engagements for existing customers. After a customer completes implementation, you will work closely with their team to:

• Understand how they operate
• Identify where AI can create meaningful value
• Determine what Datarails can build with them

You will develop a comprehensive recommendation and then take an active role in bringing that vision to life. The solutions may include AI skills, routines, applications, agents, or workflows. This is a highly hands-on role for someone who enjoys working directly with customers, navigating ambiguity, and building practical solutions that solve real business problems.

In the Applied AI focus, you are the engineer who takes on the engagements where the AI itself is the hard part: agents that reason over financial data, systems that chain steps and check their own work, and applications that put those systems in front of a finance team. You set the bar for how the team builds and evaluates AI systems. You will also serve as an important bridge between customers and our R&D and Product teams, helping translate customer needs into scalable capabilities and influencing the future of the Datarails platform.

Qualifications

• You are good in front of the customer, able to run discovery with a finance team and explain tradeoffs.
• You ship and own a problem from the first conversation through to a working solution the customer actually uses.
• Production experience in Python or TypeScript, with SQL and REST APIs.
• Hands-on experience with modern LLM tooling: agent frameworks, Model Context Protocol, tool use, evals.
• Impact obsessed: driven to deliver measurable outcomes for the customer.
• Ability to translate ambiguous business challenges into clear technical recommendations.
• A product-oriented mindset and system-level thinking.
• Comfort working independently, managing projects, and taking ownership from discovery through delivery.
• Ability to collaborate effectively with cross-functional teams.
• Curiosity, adaptability, and a willingness to experiment, learn quickly, and solve problems creatively.

Requirements

• Applied AI: Built and shipped LLM-based systems for real users.
• Marry the Business Value with the AI Use Case: Understand the business domain to bridge AI solutions with customer needs.
• Deployment: Get what you build running in a cloud environment, including APIs and integrations.

Helpful Experience

• Forward deployed engineering, hands-on technical consulting, or early engineering roles with broad implementation responsibility.
• Applied AI or ML engineering: built AI features into a product.
• Finance, accounting, FP&A, Excel-based workflows, or integrations with ERP and other business systems.

Benefits

• A collaborative, team-oriented environment.
• Base compensation - The target base salary range will be between $120-150k USD per year.
• Parental leave.
• Meaningful equity.
• 401(k) plan with up to 4% match.
• Top-of-the-line healthcare (medical, vision, and dental), with 100% paid coverage for employees + generous coverage for dependents.
• Generous PTO + 12 paid company holidays.
• Life insurance.
• And more!