At a Glance
- Tasks: Design and build an AI-first internal tech stack to enhance company operations.
- Company: Fast-growing startup with a flat structure and direct access to leadership.
- Benefits: Autonomy, mentorship, travel opportunities, and a chance to shape the company's future.
- Other info: Join a dynamic team with exceptional growth and collaboration opportunities.
- Why this job: Be the first engineer in London, making a real impact on efficiency and innovation.
- Qualifications: Experience in building tools, strong communication skills, and proficiency in PostgreSQL.
The predicted salary is between 60000 - 80000 € per year.
Role Overview
We're hiring our first engineer dedicated to internal go-to-market and operations systems. This is a foundational role where you'll design and build an AI-first internal stack from scratch, enabling Sales, Finance, Ops, and Customer Success to operate at maximum velocity. You'll have end-to-end ownership across tooling, data, and automation; shaping not just systems, but how the company runs.
In this role, you will:
- Architect and implement an AI-native internal tech stack, influencing infrastructure decisions and long-term direction
- Rapidly ship internal tools and workflows, iterating directly with teammates who use them daily
- Build and maintain our data warehouse and internal data architecture
- Develop automation systems leveraging LLMs, agents, and modern AI tooling
- Help define engineering standards and culture as we scale
About You
We're looking for someone who genuinely enjoys building tools that make commercial teams faster and more effective. You likely:
- Have led projects independently from idea to production, and are comfortable collaborating with multiple senior stakeholders
- Communicate clearly and can translate ambiguous business needs into structured technical solutions
- Are familiar with commercial and operational tooling such as Notion, Slack, Retool, Amplitude, Stripe (or similar ecosystems)
- Sales, Finance, Ops, and Customer Success teams will rely on you to improve efficiency and introduce AI-driven workflows
- Are highly proficient in PostgreSQL and at least one major data platform (e.g., Snowflake, BigQuery, Databricks, Firebolt)
- Experience with Node.js and TypeScript is a plus
- Thrive in fast-paced startup environments and feel energized by ambiguity
- Move quickly and constantly look for ways to ship faster
- Bonus: Experience designing or building AI-powered internal tools or automation systems.
Why Join Us
- Autonomy with mentorship: You'll be the first London-based engineer with high ownership, while receiving guidance from a senior engineering team in NYC. You'll travel to NYC for onboarding and project collaboration.
- Exceptional traction: 10× revenue growth in 2025, profitable, and trusted by leading firms including MBB, Big 4, and top-tier mega-funds.
- Flat structure: Minimal layers between you and leadership. Direct access to the CTO and CEO, with meaningful responsibility from day one.
Back End Engineer - Data Platform & AI Systems in London employer: LinkedIn
Join a dynamic and innovative team as our first Back End Engineer dedicated to shaping our AI-first internal tech stack in London. Enjoy a unique blend of autonomy and mentorship, with direct access to senior leadership and the opportunity to influence key infrastructure decisions. With exceptional growth prospects and a flat organisational structure, you'll thrive in a fast-paced environment that values your contributions and fosters professional development.
StudySmarter Expert Advice🤫
We think this is how you could land Back End Engineer - Data Platform & AI Systems in London
✨Tip Number 1
Network like a pro! Reach out to folks in your industry on LinkedIn or at meetups. We all know that sometimes it’s not just what you know, but who you know that can help you land that dream job.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repo showcasing your projects, especially those related to AI and data platforms. We want to see what you can do, so make it easy for us to find your best work!
✨Tip Number 3
Prepare for the interview by practising common technical questions and scenarios. We love candidates who can think on their feet, so be ready to discuss how you’d tackle real-world problems we face in our tech stack.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows us you’re genuinely interested in joining our team and contributing to our mission.
We think you need these skills to ace Back End Engineer - Data Platform & AI Systems in London
Some tips for your application 🫡
Show Your Passion for Building:We want to see your enthusiasm for creating tools that boost efficiency. Make sure to highlight any projects where you've built something from scratch, especially if it relates to commercial teams.
Communicate Clearly:Since you'll be collaborating with various stakeholders, it's crucial to demonstrate your communication skills. Use your application to show how you can translate complex ideas into simple, actionable plans.
Tailor Your Experience:Make your application stand out by aligning your experience with our needs. If you've worked with tools like Notion or Slack, or have experience in AI-driven workflows, shout about it!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates from our team.
How to prepare for a job interview at LinkedIn
✨Know Your Tech Stack
Make sure you’re well-versed in the technologies mentioned in the job description, especially PostgreSQL and any data platforms like Snowflake or BigQuery. Brush up on your Node.js and TypeScript skills too, as they could come up during technical discussions.
✨Showcase Your Project Experience
Prepare to discuss specific projects where you've taken ideas from concept to production. Highlight how you collaborated with stakeholders and what impact your work had on efficiency or productivity. This will demonstrate your ability to lead and innovate.
✨Communicate Clearly
Practice explaining complex technical concepts in simple terms. You’ll need to translate business needs into technical solutions, so being able to communicate effectively with non-technical team members is crucial.
✨Embrace the Startup Mindset
Be ready to discuss how you thrive in fast-paced environments and handle ambiguity. Share examples of how you've adapted quickly to changes or challenges in previous roles, as this will resonate well with the company’s culture.
