Forward Deployed Financial Engineer - Platform

We are hiring for two focus areas on this team. This posting is for the Platform focus. If you are stronger in building AI agents and applications, see the Applied AI focus posting for the same role.

As a Forward Deployed Financial Engineer, you will deliver 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, and determine what Datarails can build with them. You will 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 Platform focus, you own how those solutions get deployed and run inside customer environments: integrations, authentication, secrets, hosting, monitoring and the release process. You make what the team builds reliable, secure and maintainable after we leave, and you build the tooling and reusable components that let the team deliver more per person.

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.

• →Own how customer solutions are deployed and run: integrations, authentication, secrets, hosting, monitoring and the release process.
• →Build internal tooling, templates and reusable components that shorten delivery time and raise the quality floor across the team.
• →Build and deliver customer-facing solutions, including AI skills, routines, workflows, applications, and agents.
• →Join discovery sessions with customers to understand their systems, data and constraints, and turn those into a deployable design.
• →Take ownership of projects from recommendation through development, delivery and handoff.
• →Work directly with customers throughout the engagement, translating business requirements into practical technical solutions.
• →Engage customer IT and finance teams in change management, so what we build is adopted and stays running.
• →Build prototypes and products that address immediate customer needs while identifying opportunities for broader reuse.
• →Partner closely with Datarails Customer Success, Product and R&D teams to troubleshoot challenges, communicate customer requirements, and influence product development.
• →Identify recurring customer needs that could evolve into scalable platform capabilities.
• →Clearly explain technical concepts, tradeoffs, and recommendations to both technical and non-technical stakeholders.
• →Document solutions, learnings, and repeatable approaches that can improve future customer engagements.

Two things come first, whatever the focus:

• You are good in front of the customer. You can run a technical discovery with a customer's IT and finance teams, explain a hosting or security tradeoff to a CFO, and hold the room when the plan changes. Half of this job is that.
• You ship. You own a problem from the first conversation through to a working solution the customer actually uses.

Then three technical areas, weighted in this order for the Platform focus:

1. DevOps and infrastructure. You can take a solution from a working prototype to something that runs in a customer's environment: APIs and integrations, cloud deployment, CI/CD, authentication, secrets, observability.
2. Product engineering. You build software people use, and you build the tools that let other engineers ship faster.
3. Applied AI. You have worked with LLM-based systems, agents and tool use, and you understand what they need from the infrastructure around them.

Also:

• Production experience in Python or TypeScript, with SQL and REST APIs, and at least one major cloud.
• Experience integrating with business systems through their APIs, and handling authentication and secrets properly while doing it.
• Ability to translate ambiguous business and technical constraints into clear, defensible recommendations.
• A product-oriented mindset and system-level thinking, with an interest in building solutions that may evolve beyond a single customer use case.
• Comfort working independently, managing projects, and taking ownership through to handoff.
• Ability to collaborate effectively with Product, R&D, Customer Success, and other cross-functional teams.
• Curiosity, adaptability, and a willingness to experiment, learn quickly, and solve problems creatively.

• Forward deployed engineering, hands-on technical consulting, platform or DevOps roles, or early engineering roles with broad implementation responsibility.
• Deploying LLM-based systems for real users, including monitoring and evaluation in production.
• Finance, accounting, FP&A, Excel-based workflows, or integrations with ERP and other business systems. You will learn the Office of the CFO quickly here; you do not need to arrive from it.