GTM Engineer

Position Overview

• Location Type: Remote
• Job Type: Full-Time
• Salary: £60K - £80K

As a GTM Engineer at Maze, you will be instrumental in building our Go-To-Market engine from the ground up. This role combines technical expertise with a strong focus on growth, offering a unique opportunity to be an early team member in a well-funded startup operating at the intersection of generative AI and security. You will collaborate closely with the leadership team to design, implement, and optimize sales and marketing systems, while also guiding customers in discovering and adopting Maze. This position is ideal for individuals who excel at technical problem-solving, are driven by revenue generation, and aspire to fast-track their leadership career or eventually start their own company.

Your Contribution

• Build Technical GTM Foundations: Design and implement the technical Go-To-Market infrastructure, including sales automation, data pipelines, and analytics systems to drive growth.
• Enable Customer Success: Provide technical guidance during the sales process, effectively communicating how Maze addresses customer security challenges.
• Drive Adoption: Develop and implement repeatable processes to facilitate customer discovery and adoption of new Maze use cases.
• Growth Experimentation: Create and execute technical growth experiments across various channels to generate pipeline.
• Translate Feedback to Product: Collaborate with engineering teams to incorporate customer feedback into product improvements.

Requirements

• Technical Aptitude: Minimum of 2 years in a technical role (e.g., Product, Solutions/Sales Engineering) or Go-To-Market experience (e.g., Sales, RevOps, Growth, Marketing).
• High EQ: Demonstrated ability to empathize with teams and customers, and to effectively translate complex technical concepts.
• Thrive in Ambiguity: Proven ability to deliver with pace and quality in uncertain environments, coupled with a continuous generation of new ideas.
• Prioritization Skills: Excellent organizational skills with a focus on high-impact activities.

Nice to Haves

• Exposure to cybersecurity or other complex technical domains.
• Computer Science/Engineering background or equivalent degree.

Why Join Us

• Ambitious Challenge: Work at the forefront of generative AI (LLMs and agents) to solve critical cybersecurity challenges, aiming for significant breakthroughs for security teams.
• Expert Team: Join a team of hands-on leaders with extensive experience in Big Tech and Scale-ups, including backgrounds in multiple acquisitions and an IPO.
• Impactful Work: Contribute to cybersecurity, a field that acts as a force for good by helping to prevent cyber attacks and improve outcomes.
• Build an AI-native Company: Be part of building a new company in the AI era, with the opportunity to design and implement strategies from the ground up.