Head of GTM, Research Services | AI-Native Research (Remote US/EU)

About the role

• Maze is a user research platform that helps companies build the right products faster by making user insights available at the speed of product development. Its platform enables researchers, designers, and product managers to recruit participants, run studies autonomously, and surface insights that inform product decisions. AI capabilities automate busywork and add depth and direction to insights.
• Maze was named the #1 user research platform in UX Tools’ Design Tools Survey. Customers include Uber, Amazon, Atlassian, and Anthropic, across industries including B2B SaaS, e-commerce, financial services, retail, and automotive.
• Maze is a Series B company backed by Felicis, Emergence, and Amplify, with a global remote workforce and fewer than 150 team members.
• Maze reports usage by 100,000+ brands across 4,000 companies, from SMBs to enterprises. In its last fiscal year, 6.5 million questions were answered, supporting 25,000 decisions.
• Maze is launching a Market Research service combining its platform’s scale and speed with expert-led research services to create an AI-native alternative to traditional market research agencies.
• As the founding commercial leader for this new business, you will work closely with senior leaders, report to the COO, and partner with the Head of Market Research, the expert practitioner delivering the service.
• You will own go-to-market strategy end to end, partnering with Product, Sales, and Marketing to design, build, and run the GTM motion, engage new buyers and existing customers, close deals, and establish Maze’s market research presence.
• This is an opportunity to build a new business and help define how AI reshapes market research. The role suits a builder with deep industry roots, commercial ownership experience, and established buyer relationships.
• The role title advertises Remote US/EU; the structured applicant location requirements list the United Kingdom and United States.

Responsibilities

• Define and co-own the Market Research service’s go-to-market strategy, including positioning, packaging, pricing, and target segments.
• Partner with the Head of Market Research to shape the offering around insights buyers’ needs and the possibilities of an AI-native approach.
• Establish metrics, forecasts, and an operating cadence for the new business, iterating quickly based on market feedback.
• Coordinate with the existing sales team to generate qualified pipeline.
• Partner with Sales and Marketing on enablement, playbooks, joint account planning, and outbound plays.
• Activate your market research network to connect with insights leaders and research buyers.
• Manage the full sales cycle, including scoping, proposals, pricing, negotiation, and closing, involving the Head of Market Research as the practitioner voice.
• Work with Marketing to build Maze’s voice and presence through content, events, communities, and thought leadership.
• Represent Maze at industry events and in discussions about how AI is changing research.
• Turn early customer wins into stories, references, and repeatable demand.
• Connect Sales, Marketing, Research, and Product, feeding market needs into the service and platform roadmap.
• Use AI in your daily workflow to do more with less and model this approach for the team.
• Help shape the team and playbook as the service scales.

Requirements

• Significant experience growing market research services, insights consulting, or research technology businesses, including ownership of commercial outcomes.
• A strong network of market research buyers and practitioners you can activate immediately.
• Deep expertise in qualitative and quantitative methodologies, study design, and how insights organizations buy and operate.
• Ideally, management and entrepreneurial experience, such as building a practice, launching an offering, or starting a business.
• Understanding of how AI can improve every step of research, with existing daily use of AI to increase efficiency.
• Comfort in zero-to-one environments, working through ambiguity, creating structure quickly, and owning outcomes.
• Consultative selling skills: confidence selling expertise, scoping complex research engagements, and navigating enterprise buying processes.
• A point of view on the future of research and the ability to engage buyers, analysts, and practitioners.
• Ability to work across Sales, Marketing, Research, and Product and get things done without formal authority.
• Bonus: experience launching a new service or product line within a scaling company.
• Bonus: published thought leadership or public speaking on AI in market research.
• Bonus: experience selling both SaaS platforms and agency services.

Benefits

• Health insurance with international coverage, vision, and dental, with 100% of the team member premium paid. Coverage options vary by location.
• Free mental health care, unlimited virtual therapy sessions with a human, and 24/7 access to resources.
• Life and disability insurance, with 100% of the team member premium paid.
• Flexible time off and meaningful equity.
• Company retreats fully paid for by Maze.
• A new MacBook paid for by Maze.
• Sixteen weeks of paid family leave for birth or adoptive parents.
• $500 per month for dependent health insurance. Team members without dependents can use this money for benefits of their choice, such as gym memberships, coworking spaces, food, or travel.
• $1,500 remote work setup fund.
• Flexible work schedule with self-managed working hours.
• Monthly Bonus.ly points to recognize colleagues’ teamwork, dedication, and helpfulness, redeemable for gift cards and more.
• Virtual social engagements throughout the year and company swag.
• An open, transparent culture with virtual coffee chats, biweekly all-hands meetings, and more.
• Full benefits details: https://mazedesign.notion.site/Benefits-fac6236ca0d6452dbc659a1947d89317.

Inclusivity and compensation

• Maze aims to build an equitable, inclusive, and authentic workplace, welcomes diverse perspectives, and encourages continuous growth.
• Candidates with nontraditional backgrounds or experience that differs from the listed criteria are encouraged to apply if they connect with the role or company culture.
• Maze regularly benchmarks its United States and Rest of World salary ranges against other venture-backed companies. Compensation depends on factors including experience and expertise, and compensation expectations are discussed during the first recruiter interview.

Application guidance

• Do not contact current team members on LinkedIn for referrals unless they personally know you; referrals are only provided by team members who personally know the candidate.
• Do not submit support tickets about your application, as the support team is not involved in hiring.
• The recruitment team reviews applications and will contact candidates directly if there is a match.