Jobs at FinQuery

Leads technical accounting within the Product Accounting team, translating US GAAP, IFRS, GASB, and international standards into software requirements, test cases, and customer-facing guidance. Researches complex accounting issues, monitors emerging standards, validates product features, supports customer and prospect discussions, governs AI-generated accounting content, and mentors junior team members. Partners cross-functionally with Product, Engineering, Customer Success, Sales, and leadership.

Administer and monitor AWS PostgreSQL databases, optimize complex queries, review schemas and indexes, guide data architecture, support releases and infrastructure growth, and maintain RDS systems. The role also automates manual workflows using AI tools, collaborates cross-functionally, and mentors junior and mid-level engineers while establishing database best practices.

The Product Engineer at FinQuery drives product strategy, translates financial standards into software, and develops production-grade code, enhancing product features and user experience.

Lead sales enablement strategy to improve seller productivity, ramp time, multi-product selling, and revenue outcomes. Build onboarding, certification, sales methodology, competitive enablement, manager coaching, and AI-enabled seller workflows. Partner with Sales, Product, Marketing, RevOps, and Customer Success to translate strategy into repeatable selling motions, measurable improvements in conversion and revenue, and scalable enablement operating systems.

Lead go-to-market strategy for key product lines: craft positioning, pricing, and messaging; run market and competitive research; partner with Product, Sales, and Customer Success to drive adoption and expansion; direct content, launches, and demand generation; represent FinQuery externally and influence product roadmap using customer insights.

Perform outbound prospecting (cold calls, email, LinkedIn) to generate qualified leads, research prospects, uncover pain points, set meetings for Account Executives, meet activity metrics and quota, and participate in SDR training and coaching.

Lead technical vision and architecture for product lines, design and deliver enterprise-scale systems, mentor engineers, drive AI-augmented development practices, own architectural decisions, improve quality/testing/observability, contribute code, and lead post-acquisition technical integrations.

Lead FP&A reporting, forecasting, and financial modeling for a SaaS business. Build dashboards, analyze SaaS metrics, drive variance and customer analyses, partner cross-functionally on pricing, compensation, and investor reporting, and integrate AI-enabled tools to improve financial workflows.