Maze Labs, Inc logo

Enterprise Account Executive (ET/CT)

Job Overview

Location

United States

Job Type

Full-time

Category

Sales

Date Posted

April 15, 2026

Full Job Description

đź“‹ Description

  • • As an Enterprise Account Executive at Maze Labs, you will drive revenue growth by prospecting, building, and managing a sales pipeline within the Enterprise segment, focusing on new business and upsell opportunities to help product teams build the right products faster through user insights.
  • • Your day-to-day will involve building and maintaining relationships with key stakeholders in Research, Product, and Design, partnering with cross-functional teams (customer success, legal, security, finance) to execute contracts, forecasting performance against revenue targets, and sharing product feedback to improve the platform and team effectiveness.
  • • Maze is a Series B user research platform backed by top-tier investors, operating with a global remote workforce and serving over 100,000 brands across industries like B2B SaaS, Financial Services, and Automotive, with clients including Uber, Amazon, and Atlassian.
  • • In this role, you will have the opportunity to directly impact company success in an early-stage startup (<150 team members), shape GTM strategy, develop expertise in enterprise SaaS sales, and grow your career through coaching, feedback, and ownership of your book of business.

Skills & Technologies

REST
Remote

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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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