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Maze
Data Science & Analytics 45d ago

Head of Market Research

Maze
IrelandIreland
SpainSpain
United KingdomUnited Kingdom
United StatesUnited States
Full-time
Not Disclosed
Senior-Level

Job Description

Key Skills Required

Master these to land this role

Research MethodologiesResearch DeliveryResearch StrategyCross-Functional LeadershipMarket ResearchCustomer PartnershipAI-native Research

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About the Role

Maze is launching a Market Research service that blends the scale and speed of our platform with expert led research services, creating an AI-native alternative to traditional market research agencies.

As Head of Market Research, you'll be the founding research leader for this new line of business. Reporting to the COO and partnering closely with the Head of GTM, Research Services, you'll define what great market research looks like in an AI-first world. You'll own the research vision, methodologies, service delivery, and quality bar while helping shape the future of research alongside Product, Engineering, and GTM.

This is a rare opportunity to build a modern market research organization from the ground up. We're looking for someone with deep methodological expertise, a strong point of view on where the industry is headed, and the curiosity to rethink how AI can fundamentally transform the way research is designed, delivered, and consumed.

You'll thrive here if you're equal parts practitioner, builder, and innovator—someone who has spent years earning credibility in market research and is now excited to redefine what the next generation of research can become.

What You'll Do

Research Strategy & Service Design

  • Define the long-term vision for Maze's Market Research service and establish what best-in-class research looks like in an AI-native world.

  • Design and evolve our research methodologies across qualitative, quantitative, and mixed-method studies.

  • Partner closely with the Head of GTM to shape service offerings, ensuring our commercial strategy is grounded in exceptional research quality.

  • Continuously evaluate emerging AI capabilities and incorporate them into how research is conducted, synthesized, and delivered.

Build the Research Function

  • Build and lead the Market Research organization, establishing the operating model, delivery processes, quality standards, and hiring strategy.

  • Recruit, mentor, and develop a high-performing team of researchers as the business scales.

  • Create repeatable systems that allow Maze to deliver exceptional research with greater speed, consistency, and efficiency than traditional agencies.

  • Establish quality assurance frameworks while balancing methodological rigor with the agility our customers expect.

Research Delivery & Customer Partnership

  • Serve as the executive research lead on strategic customer engagements, ensuring every project delivers meaningful business outcomes.

  • Guide study design, research approaches, analysis, and executive storytelling for our highest-impact customers.

  • Partner with customers to understand complex business problems and translate them into actionable research strategies.

  • Continuously improve our delivery model based on customer feedback and market evolution.

Cross-Functional Leadership

  • Partner closely with Product and Engineering to influence the roadmap for AI-powered research capabilities.

  • Collaborate with Sales, Marketing, and Customer Success to ensure our research expertise is reflected throughout the customer journey.

  • Help establish Maze as a trusted authority in the market research industry through customer conversations, industry events, publications, and thought leadership.

  • Act as the voice of the researcher internally, ensuring product and commercial decisions remain grounded in customer insight and research excellence.

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Maze (operating under maze.co, legally Maze Technologies, Inc.) is a leading enterprise-grade continuous discovery and user research platform engineered to democratize, accelerate, and scale actionable user insights for modern product, design, and marketing organizations. Founded in 2018 by veteran software engineers Jonathan Widawski and Thomas REBAUD, the corporation completely upended the traditional user testing landscape—where gathering qualitative user feedback took weeks, suffered from manual scheduling bottlenecks, and cost thousands of dollars per study—by launching an automated, browser-based unmoderated testing engine. Moving far beyond basic video-recording tools, Maze's sophisticated research ecosystem natively unifies interactive prototype testing (integrating directly with Figma, Adobe XD, Sketch, and InVision), live website usability tracking, card sorting, tree testing, integrated participant recruitment panels, and dynamic AI-generated synthesis engines that instantly convert raw user clicks into comprehensive heatmaps, misclick rates, and success metrics. To embed data-driven decision-making throughout the entire product development lifecycle, the platform features a highly automated 'Maze AI' layer that refines research questions, analyzes qualitative open text at scale, and formats stakeholder reports instantly. Supported by over $48 million in total institutional funding, anchored by a prominent $40 million Series B financing round led by worldwide venture powerhouse Felicis Ventures alongside marquee backers like Emergence Capital, Amplify Partners, and leading product angels, the hyper-growth product discovery SaaS platform scales rapidly. Powering design and development decisions for more than 3,000 global enterprise customers—including iconic digital brands like Uber, Airbnb, IBM, and Microsoft—and serving a community of over 100,000 product creators, the firm continues to expand its enterprise footprint with sophisticated data-governance controls and advanced team-collaboration features. Headquartered in Paris, France, with a highly distributed, remote-first global workforce, Maze stands as the definitive operational vanguard for agile user research—replacing slow, opinion-driven product design with continuous, programmatic user insights and validated execution pathways.

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