At a Glance
- Tasks: Design and build an AI-driven go-to-market system for a fintech startup.
- Company: Early-stage fintech startup revolutionising global payments.
- Benefits: Competitive salary, potential full-time role, and hands-on experience.
- Other info: Fast-paced environment with high expectations and real ownership.
- Why this job: Work directly with the founder and make a real impact on growth.
- Qualifications: Experience in Python or TypeScript, and a passion for AI and automation.
The predicted salary is between 500 - 1500 £ per month.
We are an early-stage fintech startup re-wiring the global payments infrastructure. Today, sending money across borders is slow, expensive, and fragmented. We are here to fix that—making instant cross-border payments a reality. We’re building a new kind of payments network from scratch. No legacy systems, no tech debt. Just a clean slate, strong vision, and very high standards. We’re backed by deep industry experience and are building a small team of exceptional engineers and builders in London.
This role is ideal for a final-year student who spends their nights building AI products in Lovable, Bolt, Cursor or Claude Code instead of just sending CVs.
The Role
Your job will be to design and build an AI-native go-to-market engine that finds the right companies, understands them, and reaches out intelligently at scale. You’ll work directly with the founder and Sr Engineers to:
- Build an agentic GTM system that autonomously discovers, researches, and prioritises target companies
- Design AI agents that can generate highly personalised outreach
- Build pipelines that continuously improve messaging, targeting, and conversion
- Integrate data sources (LinkedIn, company databases, CRM, etc.)
- Experiment rapidly with LLMs, APIs, and automation tools
- Build internal tools that help us turn AI into revenue
This is a hands-on, high-impact engineering role. You’ll ship fast, experiment constantly, and own real systems that affect company growth.
What We’re After
You are an engineer first. But you’re also fascinated by AI, automation, and building systems that do work for you. You likely:
- Love building things quickly and experimenting
- Use AI tools daily to code faster and think better
- Have high agency and take ownership of problems
- Enjoy figuring things out without being told exactly what to do
Technically you’re comfortable with:
- Python or TypeScript
- LLM APIs (OpenAI, Anthropic, etc.)
- APIs and data pipelines
- Automation tools and integrations
You don’t need to know everything. You just need to learn extremely fast.
Desirable Experience
- Building AI agents or automation workflows
- Experience with web scraping, data enrichment, or APIs
- Built side projects using LLMs
- Familiar with tools like LangChain, vector databases, or workflow automation
- Interest in startups or building your own company one day
What You’ll Gain
- Work directly with the founder on a mission-critical system
- Learn how AI-native companies actually build growth engines
- Build real systems that drive pipeline and revenue
- Work at the bleeding edge of AI development
For the right person, this internship can turn into a full-time founding role.
Why Join Us?
- Build from 0 → 1. You’ll help build the first version of an AI-native GTM engine inside a company trying to reinvent global payments.
- Real ownership. You won’t be shadowing someone. You’ll build systems that the company depends on.
- Learn extremely fast. Small team. High expectations. Real problems. Work with intensity and purpose, in-person in London with a small team of true builders.
Why You Shouldn’t Join
- You want a safe internship where expectations are low.
- You want clear instructions and a well-defined role.
- You don’t enjoy experimenting or shipping quickly.
- You think AI is mostly hype.
Logistics
- Location: Hybrid - London (in-person)
- Timing: Final term internship with potential full-time conversion
- Compensation: Competitive internship salary
- No visa sponsorship available.
Build Challenge (Highly Encouraged)
We care much more about what you can build than how polished your CV is. If you want to stand out, build a small visual GTM project for a B2B fintech. Use whatever you want: Lovable, Bolt, Claude Code, Cursor, Python, TypeScript, OpenAI, Anthropic. We do not care about the stack. We care about taste, speed, and how you think. Your project should show us how AI could help a fintech generate pipeline.
Please send:
- A link to the project
- A short Loom walking through it
- A few lines on what you used AI for when building it
It does not need to be perfect. We care about initiative, product instinct, speed, and quality of thought. Applications without examples of things you have built will likely be ignored.
To Apply
Please send:
- Your CV
- A short note on why you want to join
- Examples of things you’ve built using AI
hello [at] 3degrees [dot] co
GTM Engineering Intern (AI / Agentic Systems) employer: Stealth Startup
Join our dynamic fintech startup in London, where you'll have the unique opportunity to work directly with the founder on pioneering AI-driven systems that will redefine global payments. We foster a culture of innovation and ownership, allowing you to experiment and build impactful solutions in a small, high-expectation team. With the potential for your internship to evolve into a full-time role, this is an ideal environment for those eager to learn rapidly and contribute meaningfully to a transformative mission.
StudySmarter Expert Advice🤫
We think this is how you could land GTM Engineering Intern (AI / Agentic Systems)
✨Tip Number 1
Get your hands dirty! Build something cool using AI tools like Lovable or Bolt. Show us what you can create, and don’t just rely on your CV. A project that demonstrates your skills will make you stand out!
✨Tip Number 2
Network like a pro! Connect with people in the fintech space, especially those who are already in startups. Use LinkedIn to reach out and ask for advice or insights about their experiences. You never know where a conversation might lead!
✨Tip Number 3
Be ready to experiment! In our world, we value quick iterations and learning from failures. Don’t be afraid to try new ideas and share your thought process during interviews. It shows you’re proactive and willing to take risks.
✨Tip Number 4
Apply through our website! We love seeing candidates who take the initiative. Make sure to include links to your projects and a brief note on why you want to join us. It’s your chance to shine and show us your passion for building!
We think you need these skills to ace GTM Engineering Intern (AI / Agentic Systems)
Some tips for your application 🫡
Show Us Your Passion:When you write your application, let your enthusiasm for AI and building systems shine through. We want to see that you’re not just looking for any internship, but that you’re genuinely excited about what we’re doing at StudySmarter.
Highlight Your Projects:Don’t hold back on showcasing your side projects! Whether it’s a small GTM project or something else you've built using AI, include links and a brief description. This is your chance to show us what you can do beyond the CV.
Tailor Your Note:In your short note explaining why you want to join us, be specific! Mention what excites you about our mission to reinvent global payments and how you see yourself contributing to our goals.
Keep It Concise:While we love detail, keep your application clear and to the point. Make sure your CV and notes are easy to read and highlight the most relevant experiences. We’re looking for clarity and impact!
How to prepare for a job interview at Stealth Startup
✨Show Your Passion for AI
Make sure to express your genuine interest in AI and automation during the interview. Share specific examples of projects you've worked on, especially those involving AI tools or systems. This will demonstrate that you’re not just a coder but someone who is excited about building innovative solutions.
✨Prepare to Discuss Your Projects
Be ready to dive deep into any side projects you've built, particularly those related to fintech or AI. Highlight the challenges you faced, how you overcame them, and the impact your project had. This shows initiative and problem-solving skills, which are crucial for this role.
✨Understand the Company’s Vision
Research the company’s mission to rewire global payments and think about how your skills can contribute to that vision. Be prepared to discuss how you can help build their AI-native go-to-market engine and why you believe it’s important. This will show that you’re aligned with their goals.
✨Demonstrate Your Learning Agility
Since the role requires quick learning and adaptability, be ready to share instances where you’ve had to learn new technologies or concepts rapidly. Discuss how you approach learning and experimentation, as this aligns perfectly with the company’s fast-paced environment.
