Lead Product Engineer

Own the Platform Strategy: Drive the multi-quarter roadmap for FinQuery’s core platform capabilities. Ensure our shared services, data models, and integrations scale seamlessly to support our suite of financial products.

Orchestrate Agentic AI Frameworks: Define the business logic, triggers, and guardrails for automated AI workflows. You will map out how AI agents interact with our systems to automate complex financial accounting bottlenecks.

Design Platform Interoperability: Map out clean data flows, API requirements, and Human-in-the-Loop (HITL) exception-handling workflows that unify user experiences across lease accounting, SaaS management, and financial subledgers.

Master Context Engineering: Treat product specifications and system documentation as a form of architecture. You will structure high-clarity feature definitions and system constraints specifically optimized to guide technical teams and AI-assisted development tools.

Partner Deeply with Engineering: Act as a peer to our core technical architects. Because you speak their language, you will easily collaborate on technical trade-offs, schema designs, and performance requirements without needing to write the code yourself.

The Product Foundation: 5+ years of experience in a product management role (Product Manager, Product Owner, or Systems Analyst) managing platform infrastructure, shared services, or multi-tenant B2B SaaS environments.

High Technical Literacy: You don't need a CS degree or coding background, but you must be deeply comfortable discussing system architecture. You should easily understand relational database concepts (SQL), API structures (REST/GraphQL), and how data moves through a cloud-based (AWS) environment.

Agentic & AI Fluency: Active curiosity and comfort using LLMs, prompt engineering, and workflow automation tools. You understand how to leverage AI as a force multiplier to accelerate product scoping and data mapping.

Systems Thinking: A proven track record of looking at product challenges holistically; understanding how a change in a core database or platform layer impacts multiple downstream applications and users.

Education: Bachelor’s degree in Business, Finance, MIS, Engineering, or a related field, or equivalent practical experience in technical product management.