At a Glance
- Tasks: Drive growth by building AI-powered systems and automations for sales and marketing.
- Company: Join a dynamic commercial organisation focused on innovation and collaboration.
- Benefits: Enjoy high autonomy, ownership, and the chance to shape AI usage in customer acquisition.
- Other info: Work cross-functionally with teams and enjoy a collaborative culture.
- Why this job: Make a real impact on pipeline generation and revenue growth in a fast-paced environment.
- Qualifications: Experience in building systems and workflows that enhance commercial performance.
The predicted salary is between 50000 - 65000 £ per year.
We’re looking for a GTM Engineer to become the technical growth engine behind a growing commercial organisation. This role sits at the intersection of Sales, Marketing, Data and AI, with responsibility for building the systems, automations, and AI-powered workflows that drive pipeline generation, improve conversion rates, and help scale revenue more efficiently.
If you’ve built your career improving commercial performance through automation, AI, and scalable go-to-market processes, this role offers autonomy, ownership, and the opportunity to make a significant impact across the entire customer acquisition journey.
What you’ll be doing:
- Owning the continuous improvement of the go-to-market engine
- Identifying inefficiencies across the customer acquisition journey and implementing scalable solutions
- Building AI-powered workflows that improve the productivity of Sales, Marketing, and Customer Success teams
- Developing automations that reduce manual work and increase speed of execution
- Evaluating emerging AI and GTM technologies that improve commercial performance
- Creating systems that help the organisation scale without proportionally increasing headcount
- Building AI workflows that automate prospect research, account qualification, and market intelligence
- Automating the creation of customer-facing content including sales collateral, presentations, and outreach campaigns
- Developing systems that streamline proposal creation, RFP responses, and customer communications
- Designing and optimising outbound prospecting workflows while supporting account prioritisation and engagement strategies
What we’re looking for:
- Experience building systems, automations and workflows that improve commercial performance
- Strong understanding of Sales, Marketing, and customer acquisition processes
- Experience using AI and automation to improve productivity and reduce manual effort
- Ability to identify inefficiencies and implement scalable solutions across commercial functions
- Experience supporting prospecting, account qualification, and pipeline generation activities
- Strong analytical and problem-solving skills with a data-driven approach
- Comfortable evaluating and implementing new AI and GTM technologies
- Experience working cross-functionally with Sales, Marketing, Customer Success, and Leadership teams
- Strong organisational skills with the ability to manage multiple priorities
- Self-starters with a proactive mindset and a focus on driving measurable business impact
What you’ll get:
- The opportunity to become the technical growth engine behind a scaling commercial organisation
- High autonomy and ownership in a business-critical role
- The opportunity to shape how AI and automation are used across the customer acquisition journey
- A collaborative environment working closely with leadership teams
- The opportunity to drive measurable improvements in pipeline generation, conversion rates, and revenue growth
GTM Engineer in Brighton employer: Quanta
As a GTM Engineer at our remote UK-based company, you will thrive in a dynamic and collaborative environment that champions innovation and autonomy. We prioritise employee growth through continuous learning opportunities and encourage you to take ownership of your projects, making a tangible impact on our commercial success. Join us to be part of a forward-thinking team that leverages AI and automation to redefine the customer acquisition journey, all while enjoying the flexibility of remote work.
StudySmarter Expert Advice🤫
We think this is how you could land GTM Engineer in Brighton
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Quanta!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like GTM Engineer at Quanta.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Quanta.
✨Apply Directly through Our Website
When you find a suitable opening like GTM Engineer at Quanta, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace GTM Engineer in Brighton
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Quanta, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Quanta. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Quanta
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Quanta!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
