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- Tasks: Join us to build our Go-To-Market engine and optimise sales systems.
- Company: Maze is a well-funded startup at the intersection of generative AI and security.
- Benefits: Work in a dynamic environment with opportunities for growth and leadership.
- Why this job: Be part of cutting-edge cybersecurity solutions and impactful work.
- Qualifications: 2+ years in a technical role or GTM experience; strong problem-solving skills.
- Other info: Ideal for those aspiring to lead or start their own company.
The predicted salary is between 36000 - 60000 £ per year.
As a GTM Engineer at Maze, you will be at the forefront of building our Go-To-Market engine from 0-1, combining technical expertise with a passion for growth. This is a unique opportunity to join as one of the early team members of a well-funded startup building at the intersection of generative AI and security. You will work closely with our leadership team to design, implement, and optimize our sales and marketing systems while helping customers discover and adopt Maze. This role is perfect for someone who thrives at the intersection of technical problem-solving and revenue generation, and who wants to fast-track their route to leadership or has ambitions of starting their own company one day.
Your Contribution:
- Build Technical GTM Foundations: Design and implement our technical GTM infrastructure, including sales automation, data pipelines, and analytics systems that will drive our growth.
- Enable Customer Success: Provide technical guidance during the sales process, helping prospects understand how Maze solves their security challenges.
- Drive Adoption: Develop repeatable processes that help customers discover and adopt new Maze use cases.
- Growth Experimentation: Create and execute technical growth experiments across multiple channels to generate pipeline.
- Translate Feedback to Product: Work with engineering teams to translate customer feedback into feature improvements.
What You Need to Be Successful:
- Technical Aptitude: 2+ years in a technical role (Product, Solutions/Sales Engineering) or GTM experience (Sales, RevOps, Growth, Marketing).
- High EQ: Empathize deeply with our teams and customers while effectively translating complex technical concepts.
- Thrive in Ambiguity: You deliver with pace and quality in uncertain environments and are constantly generating new ideas.
- Prioritization Skills: Excellent at staying organized and focusing 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: We are using generative AI (LLMs and agents) to solve some of the most pressing challenges in cybersecurity today. You will be working at the cutting edge of this field, aiming to deliver major breakthroughs for security teams.
- Expert Team: We are a team of hands-on leaders with experience in Big Tech and Scale-ups. Our team has been part of the leadership teams behind multiple acquisitions and an IPO.
- Impactful Work: Cybersecurity is a force for good - helping to stop cyber attacks ultimately helps deliver better outcomes for all of us.
- Build an AI-native Company: We are building a new company in the AI era with the opportunity to design everything from the ground up - you will help implement this strategy.
GTM Engineer employer: Mazehq
Contact Detail:
Mazehq Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land GTM Engineer
✨Tip Number 1
Familiarise yourself with the latest trends in generative AI and cybersecurity. Understanding how these technologies intersect will not only help you in interviews but also demonstrate your genuine interest in the role.
✨Tip Number 2
Network with professionals in the GTM and cybersecurity fields. Attend relevant meetups or webinars to connect with industry experts, which could lead to valuable insights and potential referrals.
✨Tip Number 3
Prepare to discuss specific examples of how you've successfully implemented technical solutions in previous roles. Highlighting your problem-solving skills and ability to drive growth will resonate well with the hiring team.
✨Tip Number 4
Showcase your adaptability by discussing experiences where you've thrived in ambiguous situations. This will illustrate your capability to deliver results in a fast-paced startup environment like Maze.
We think you need these skills to ace GTM Engineer
Some tips for your application 🫡
Understand the Role: Read the job description thoroughly to grasp the key responsibilities and required skills for the GTM Engineer position. Tailor your application to highlight how your experience aligns with these requirements.
Showcase Technical Skills: Emphasise your technical aptitude by detailing relevant experiences in your CV. Include specific examples of projects or roles where you designed or implemented technical solutions, especially in sales automation or data analytics.
Demonstrate Growth Mindset: In your cover letter, express your passion for growth and innovation. Share instances where you've successfully driven adoption or executed growth experiments, showcasing your ability to thrive in ambiguous environments.
Personalise Your Application: Address your application to the hiring team at Maze and mention why you're excited about the opportunity to work at the intersection of generative AI and cybersecurity. This personal touch can make your application stand out.
How to prepare for a job interview at Mazehq
✨Showcase Your Technical Skills
As a GTM Engineer, you'll need to demonstrate your technical aptitude. Be prepared to discuss your previous experiences in technical roles and how they relate to building sales automation and data pipelines. Highlight specific projects where you successfully implemented technical solutions.
✨Emphasise Your Problem-Solving Abilities
This role requires a knack for solving complex problems. During the interview, share examples of how you've tackled ambiguous situations or challenges in the past. Discuss your thought process and the outcomes of your solutions to showcase your ability to thrive in uncertainty.
✨Demonstrate Empathy and Communication Skills
High emotional intelligence is crucial for this position. Prepare to discuss how you've effectively communicated complex technical concepts to non-technical stakeholders. Use examples that illustrate your ability to empathise with customers and team members alike.
✨Prepare for Growth Experimentation Questions
Expect questions about your experience with growth experimentation. Be ready to talk about any past initiatives you've led or participated in that involved testing new ideas or processes. Highlight your analytical skills and how you used data to drive decisions.
