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- Tasks: Lead the development of innovative investigation tools for AI data pipelines.
- Company: Fast-growing AI automation startup with a focus on cutting-edge technology.
- Benefits: Competitive salary, equity options, and the chance to shape product direction.
- Why this job: Join a high-impact role and tackle complex engineering challenges with a talented team.
- Qualifications: 5+ years in a startup, strong ownership, and product instincts required.
- Other info: Opportunity to make a significant impact in a dynamic and innovative environment.
The predicted salary is between 80000 - 125000 £ per year.
A fast-growing AI automation startup seeks a Founding Lead Engineer to lead the development of investigation tools for data pipelines. This role focuses on solving complex engineering challenges with a cutting-edge tech stack including Python and Rust. The ideal candidate will have over 5 years of experience in a startup environment, demonstrating strong ownership and product instincts. This position offers a competitive salary between £80,000 and £125,000 plus equity, in a high-impact role that enables significant influence on product direction.
Founding Lead Engineer — AI Data Pipelines & Observability in London employer: Jack & Jill/External Ats
Contact Detail:
Jack & Jill/External Ats Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Founding Lead Engineer — AI Data Pipelines & Observability in London
✨Tip Number 1
Network like a pro! Reach out to people in the AI and engineering space, especially those who work at startups. A personal connection can often get your foot in the door faster than any application.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your projects, especially those involving Python and Rust. This gives potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for technical interviews by brushing up on your problem-solving skills. Practice coding challenges and be ready to discuss your past experiences in detail, focusing on how you've tackled complex engineering challenges.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for passionate individuals who want to make an impact. Your next big opportunity could be just a click away!
We think you need these skills to ace Founding Lead Engineer — AI Data Pipelines & Observability in London
Some tips for your application 🫡
Show Your Passion for AI: When writing your application, let us see your enthusiasm for AI and data pipelines. Share any relevant projects or experiences that highlight your interest and expertise in this area.
Highlight Your Startup Experience: We want to know about your journey in the startup world! Make sure to emphasise your experience in fast-paced environments and how you've tackled challenges head-on.
Demonstrate Ownership and Initiative: In your application, showcase instances where you've taken ownership of projects or led initiatives. We love candidates who can drive results and make an impact!
Tailor Your Application: Don’t just send a generic application! Tailor your CV and cover letter to reflect the specific skills and experiences that align with the Founding Lead Engineer role. And remember, apply through our website for the best chance!
How to prepare for a job interview at Jack & Jill/External Ats
✨Know Your Tech Stack
Make sure you’re well-versed in Python and Rust, as these are key to the role. Brush up on your knowledge of data pipelines and observability tools, and be ready to discuss how you've used them in past projects.
✨Showcase Your Startup Experience
Highlight your experience in a startup environment. Be prepared to share specific examples of how you've taken ownership of projects and made impactful decisions that shaped product direction.
✨Prepare for Problem-Solving Questions
Expect to face complex engineering challenges during the interview. Practice articulating your thought process when tackling technical problems, and consider using the STAR method (Situation, Task, Action, Result) to structure your answers.
✨Demonstrate Your Product Instincts
Think about how your engineering decisions can influence product outcomes. Be ready to discuss how you prioritise features and improvements based on user needs and business goals, showing that you understand the bigger picture.
