FinQuery
FinTech
LeadProductEngineer
Neural analysis suggests this role is
optimal for Lead candidates.
“Lead Product Engineer at FinQuery. Define product strategy. Develop product roadmap”
Industry & Context.
What You'll Do.
Define product strategy
Develop product roadmap
Collaborate with engineering teams
Collaborate with design teams
Collaborate with marketing teams
Collaborate with sales teams
Gather customer feedback
Analyze market trends
Prioritize product backlog
How You'll Work.
Team & Collaboration
Cross-functional teams; Engineering teams; Design teams; Marketing teams; Sales teams
Process & Methodology
Roadmap planning, Product backlog prioritization
Full Job Description
## Description FinQuery stands at the forefront of accounting automation, driven by a deep specialty in contract-driven accounting. Our AI-enabled platform transforms how controllers and finance teams operate, seamlessly managing and accounting for the complex financial contracts—like leases, prepaids, and accruals—that are the backbone of modern business. We are not just a software provider; we are the unified subledger that eliminates time-intensive, error-prone technical accounting workflows, ensuring financial reports are accurate and empowering our customers to focus on strategic, high-value tasks. FinQuery is the global leader in lease accounting (as recognized on G2.com) and serve more than 8,500 customers worldwide. Our growth trajectory has been consistently validated by the Inc 5000, which has recognized us as one of the fastest-growing private companies for five consecutive years. ## How You'll Make an Impact 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
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