Founding GTM Engineer: ICP & Data Growth Engine

Founding GTM Engineer: ICP & Data Growth Engine

Full-Time 59400 - 72600 £ / year (est.) No working from home possible
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At a Glance

  • Tasks: Lead data-driven growth initiatives and empower the commercial team with insights.
  • Company: Join a forward-thinking company focused on innovative growth strategies.
  • Benefits: Competitive salary, flexible work options, and opportunities for professional development.
  • Other info: Be part of a pioneering team with excellent career advancement potential.
  • Why this job: Shape the future of growth strategies and make a real impact in a dynamic environment.
  • Qualifications: Experience in data analysis, GTM strategy, and strong problem-solving skills.

The predicted salary is between 59400 - 72600 £ per year.

Orchestra is hiring a GTM Engineer Lead to empower the commercial team with data, systems, and insights.

You will own the ICP Lead list and the data infrastructure powering outbound growth, leveraging real-time enrichment from third-party data, AI workflows, web scraping, and scripting.

You will define signals, own outbound pipeline metrics, and shape GTM strategy while building a scalable plan for the growth team.

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Founding GTM Engineer: ICP & Data Growth Engine employer: Orchestra

Orchestra is an exceptional employer that fosters a dynamic and innovative work culture in the heart of London. As a founding Growth Lead, you'll have unparalleled opportunities for personal and professional growth while working alongside a passionate team dedicated to transforming how the world discovers our brand. With a focus on creativity and data-driven strategies, you'll be empowered to make a significant impact in a supportive environment that values your contributions.

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Contact Details:

Orchestra Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Founding GTM Engineer: ICP & Data Growth Engine

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Apply Directly through Our Website

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We think you need these skills to ace Founding GTM Engineer: ICP & Data Growth Engine

SQL
Python
Data Pipeline Development
Data Engineering
Problem-Solving Skills
API Integration
Communication Skills

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 Orchestra, 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 Orchestra. 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 Orchestra

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 Orchestra!

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.