At a Glance
- Tasks: Build automated systems to power our go-to-market engine and engage customers at scale.
- Company: Humaans, a forward-thinking company in London with a focus on AI-driven growth.
- Benefits: Competitive salary, flexible working hours, and opportunities for professional development.
- Other info: Be part of a legendary team driving innovation in the industry.
- Why this job: Join a dynamic team and revolutionise how we connect with customers using cutting-edge technology.
- Qualifications: Experience in data pipelines and automation, with a passion for tech and growth.
The predicted salary is between 59400 - 72600 £ per year.
Humaans in London is seeking a GTM Engineer to build automated infrastructure powering our go-to-market engine, interfacing RevOps, Sales, and Marketing. You’ll design data pipelines, AI agents, and enrichment workflows using Clay and HubSpot to find and engage customers at scale, replacing rep-dependent processes with high-leverage, non-linear systems.
You will own the GTM stack, building automated systems that drive revenue growth, working with a team backed by legendary operators.
GTM Engineer — AI-Powered Growth Systems Architect employer: Jack & Jill
At Jack & Jill, we pride ourselves on being an exceptional employer that fosters a dynamic and innovative work culture. Our team enjoys a range of benefits including flexible working arrangements, professional development opportunities, and a collaborative environment that encourages creativity and growth. Located in a vibrant area, we offer unique advantages such as access to cutting-edge technology and the chance to work with industry leaders in AI-driven marketing strategies.
StudySmarter Expert Advice🤫
We think this is how you could land GTM Engineer — AI-Powered Growth Systems Architect
✨Get Involved in Data Science Meetups
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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!
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How to prepare for a job interview at Jack & Jill
✨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!
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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
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✨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.
