
Job Overview
Location
United States
Job Type
Full-time
Category
Finance
Date Posted
April 19, 2026
Full Job Description
đź“‹ Description
- • The Fractional Chief Financial Officer (CFO) will serve as a strategic finance partner to Maze Labs' executive team, focusing on high-level financial decision-making, capital strategy, and board-level guidance while complementing the operational finance function led by the Finance Director.
- • On a regular cadence (weekly with exec team, quarterly for board prep), the CFO will evaluate investment trade-offs, guide capital strategy across funding options, partner with the Finance Director to sharpen strategic thinking, grow relationships with investors and advisors, and help shape board materials for financial discussions.
- • Maze Labs is a Series B-backed user research platform enabling faster, insight-driven product development through AI-powered research tools, serving clients like Uber, Amazon, and Atlassian with a global remote workforce and mission to eliminate the trade-off between speed and user understanding.
- • The role offers the opportunity to directly impact a fast-growing startup, apply deep SaaS financial expertise in a founder-led environment, and build strategic financial frameworks that support scaling from $10M to $100M ARR while gaining exposure to high-stakes decisions in fundraising, venture debt, and corporate development.
Skills & Technologies
About Maze Labs, Inc
Maze Labs, Inc. provides a product-discovery and user-research platform for product teams to validate designs and prototypes through quantitative testing and user insights. The SaaS platform lets teams run unmoderated tests, recruit participants, capture task success metrics, and generate reports and analytics to inform design decisions and reduce reliance on qualitative feedback. Maze integrates with design tools and workflows to measure usability, prioritize features, and quantify product-market fit during development. The company serves UX designers, product managers, and researchers at startups and enterprises seeking faster, data-driven validation of product concepts.
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