At a Glance
- Tasks: Build and improve data systems to empower our commercial team and drive business growth.
- Company: Join Orchestra, an innovative AI infrastructure company transforming data management.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Be a key player in a dynamic startup environment with significant career advancement potential.
- Why this job: Tackle AI's biggest challenges and shape the future of data in a supportive team.
- Qualifications: Experience in engineering or analytics, coding skills, and a passion for automation.
The predicted salary is between 59400 - 72600 £ per year.
Orchestra is an AI infrastructure company and we are the creators of Orchestra - the Control Plane for Data and AI.
Data teams are overturning how they do their day-to-day.
More people than ever want to use AI and Data to automate.
But data teams still spend thousands of manual hours manually moving data, integrating tools, and firefighting ad-hoc requests.
We're solving that problem in massive enterprises like Experian and Octopus Energy, and are hiring for the team to scale our growth.
Building the Orchestra platform was the first step, but our hardest challenges still lie ahead.
If you're excited to solve some of AI's biggest problems, build a generational company, and do it within a friendly, hard-working, talented, but humble team, then Orchestra is for you.
Role Mission
The mission of our GTM Engineer is simple but critical: give the commercial team the data, systems and insight it needs to grow the business.
From the outset, you'll have ownership to build and improve the infrastructure that brings together company, ICP and market data, turning fragmented information into a reliable engine for pipeline generation.
As the Lead for our GTM Engineering Team, you'll completely own our ICP Lead list; a dataset powering our outbound funnel.
You'll have access to the best tools, budget, and the opportunity to grow the team after proving the funnel scales.
- What You'll Accomplish
- Build the targeting engine: you'll get to build the system that enriches our Companies and Contacts in real-time.
The system will use a combination of third party data, AI workflows, webscraping, and scripting
- Define the data: identify the Contact, Company, and Timing-related signals and attributes that highly correlate with our ICP and intent to buy and ensure data quality
- Own outbound leads: your target will be a function of the number of meetings booked from the target ICP list built from the targeting engine
- Influence GTM Strategy: through identification of intent signals, you'll be able to influence GTM strategy by defining where we put our time
- Customer 360: you'll own our Customer 360 dataset as well, allowing consistent customer identification tracking from when someone first hears about Orchestra, all the way to when they become an Orchestra customer and beyond
- Own the plan: this is a first hire in the growth department, so you'll get to own and define the plan for scaling this function
- Exceptional Candidates Have Demonstrated
- A hunger to keep learning: you've likely had a few jobs but learn things quickly, and have found yourself picking up and learning new things as your responsibility expands
- Natural born leadership: you likely came up with growth initiatives in start-ups in the past, and made great efforts to bring others on board to go from idea to execution
- A desire to automate: you've taught yourself how to code, how to use AI, and how to use tools like Clay and n8n, and perhaps even taught yourself some data engineering.
Now - you've a pro.
- Being comfortable with technicals: you've found yourself working as an engineer or analytical role, learning programming languages like python and SQL, and/or working closely with other technical teams
- Ownership of a KPI: you've owned a KPI in the past or have clearly shown why target-based performance is something you're a natural fit for
- Commercial mindset: you understand that "ship it and forget it" isn't how this works, and have made great relationships with folks in GTM in the past
- Bias to shipping: you can spend hours automating something once in the groove, you've consistently been a high output team member, and have been promoted quickly
- #J-18808-Ljbffr
Founding GTM Engineer in London 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.
StudySmarter Expert Advice🤫
We think this is how you could land Founding GTM Engineer in London
✨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 Orchestra!
✨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 Founding GTM Engineer at Orchestra.
✨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 Orchestra.
✨Apply Directly through Our Website
When you find a suitable opening like Founding GTM Engineer at Orchestra, 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 Founding GTM Engineer in London
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.