At a Glance
- Tasks: Automate marketing processes and build analytics dashboards to drive growth.
- Company: Join a fast-growing fintech startup backed by top investors.
- Benefits: Gain real ownership, direct access to founders, and valuable networking opportunities.
- Other info: Work in a dynamic environment with a focus on creativity and action.
- Why this job: Be part of a team that’s revolutionising cross-border commerce with innovative tech.
- Qualifications: Experience in automation, data analysis, and a passion for fintech.
The predicted salary is between 20000 - 30000 £ per year.
About Outpost
Outpost is the infrastructure layer for cross-border commerce. We become the legally liable entity for tax, payments and customs wherever our merchants sell next. Series A, backed by Ribbit Capital and Better Tomorrow Ventures. You will work alongside one of the strongest operating teams in fintech. Our founders and engineers built and scaled the products you already know: Revolut, Adyen, Airwallex. You will be in the room with people who have done this at scale, learning how a serious company is built from the inside. We are building our marketing function from the ground up. We want someone technical to build that layer with us.
The role
You are a builder who points your skills at marketing. You see a manual process, and your instinct is to automate it. You are as comfortable in a Python script, an API or a no-code flow as you are reading a chart. This is not a "post on Instagram" internship. It is a growth-engineering internship dressed in marketing. You report to our Marketing manager and work directly with the founders.
What you'll own, examples:
- Analytics and the weekly scorecard. Stand up the measurement layer we do not have. Pull LinkedIn, web and content data into one dashboard. Replace "please like this post" with numbers, and tell us every week what is actually working.
- Sales materials automation. Help kill manual deck-building and sales materials. Build the tooling, templates and reusable components that turn a client scope into near-final materials, so we stop hand-swapping logos in Figma across forty messages.
- SEO and GEO. Own on-page SEO and AI-search optimisation for our site. Build long-form guide pages that work as search, ad landing and credibility all at once. Track traffic, sources and conversion, which today are invisible.
- Content operations. Automate how content gets drafted, formatted, scheduled and distributed across LinkedIn and the website. Build the engine that turns one guide into a week of posts, and remove the handoffs that slow publishing down.
- Research and signal monitoring. Build a radar for regulatory changes, competitor moves and viral posts worth reacting to, so the signals surface without anyone scrolling. Enrich target accounts automatically.
- Lead enrichment. Build one clean, enriched lead flow into the pipeline, and connect marketing engagement to a lightweight CRM view so leads get chased, not lost.
What we test for
- AI-native by instinct. You reach for Claude, agents, scripts and no-code to do in an hour what takes us a day. You have already built something - a dashboard, a scraper, an automation, a bot. Show us the link.
- Comfortable with data and tools. You can pull an API, wrangle a spreadsheet, and make a number make sense.
- A ridiculous bias for action. You ship. You do not observe.
- Fluent in ambiguity. You turn a vague gap into a working system.
- Creative in service of building. You find the clever automated route, not just the pretty slide.
Nice to have: Python or JavaScript, a BI/dashboard tool, web scraping, APIs (LinkedIn, analytics), n8n / Make / Zapier, an interest in fintech.
What you'll get
Real ownership of real systems from week one, not busywork. Direct access to the founders and a front-row seat at a fast Series A company. A reference and a network if you ship.
Technical Marketing Intern (Analytics, Research & Automation) employer: AngelList Venture
At Outpost, we pride ourselves on being an exceptional employer that fosters a dynamic and innovative work culture. As a Technical Marketing Intern, you'll gain invaluable experience working directly with industry leaders in fintech, while having the opportunity to take ownership of impactful projects from day one. Our commitment to employee growth is evident through direct access to founders and a supportive environment that encourages creativity and automation, making this an ideal place for those looking to make a meaningful contribution in a fast-paced, Series A startup.
StudySmarter Expert Advice🤫
We think this is how you could land Technical Marketing Intern (Analytics, Research & Automation)
✨Join Data-Science Meetups
Get yourself along to local data-science meetups or workshops. They're goldmines for networking, and you'll learn from industry pros who might just point you in the direction of internships. Plus, discussing the latest trends with like-minded individuals can really amp up your game.
✨Utilise University Career Services
Check in with your uni's career services since they often have connections with companies looking for interns. They might even organise information sessions with firms, which can be a great chance for you to learn more about potential internships and make some key contacts.
✨Show Off Your Stuff on GitHub
If you're into data science, having a GitHub profile with your projects is essential. Make sure your portfolio is public and showcases your best work! Recruiters love to see your coding skills and problem-solving approach, and it’s a brilliant way to stand out.
✨Apply Directly on Our Website
Don’t forget to check out the internships listed on our site! It's always a good idea to apply directly through our website because it makes your application easier for our team to find, and you might just catch the hiring manager’s eye by showcasing exactly what you're passionate about in data science.
We think you need these skills to ace Technical Marketing Intern (Analytics, Research & Automation)
Some tips for your application 🫡
Show Off Your Technical Skills:For a data science internship, we want to see those analytical skills shine! List your programming languages, like Python or R, and make sure to highlight any relevant projects or courses you've completed. If you've dabbled with tools like Pandas, NumPy, or machine learning algorithms, don’t hold back – include those in your CV!
Share Your Curiosity in Your Cover Letter:As an intern, your motivation and eagerness to learn are key! In your cover letter, talk about specific data science concepts that excite you and how this internship at AngelList Venture will help you grow. Share what you hope to achieve and how you plan to tackle real-world data problems - we love enthusiasm!
Include Any Relevant Certifications:If you've earned any certifications, such as from Coursera or DataCamp, make sure to include these in your application. They show us that you're proactive and committed to expanding your data science skillset. This could make a real difference in how we assess your application!
Keep It Relevant and Concise:Remember, as an intern, you don’t need to have decades of experience. Focus on showcasing relevant coursework, personal projects, or even related volunteer work in data science. Keep your CV and cover letter concise but impactful – we appreciate clear and straightforward communication!
How to prepare for a job interview at AngelList Venture
✨Brush Up on Your Coding Skills
As a data science intern, you might get grilled on your programming skills. Expect to tackle some coding challenges using languages like Python or R. We recommend practising basic algorithms or data manipulation tasks so you can show off your tech skills with confidence.
✨Show Off Your Projects
Prepare to discuss any projects you’ve done, whether in your studies or on your own time. Having a strong portfolio of data analyses or machine learning models will really set you apart. We can use platforms like GitHub to showcase your work to impress AngelList Venture.
✨Know Your Stats and ML Basics
Brush up on your statistics and machine learning concepts because interviewers love to dig into this! Be ready to explain your understanding of algorithms or how you would approach a given data problem. This will highlight your theoretical background alongside your practical skills.
✨Be Eager to Learn and Adapt
Internships are all about potential and growth. Make sure you convey your eagerness to learn and adapt to new tools or methodologies. Show AngelList Venture that you’re not just looking for experience, but that you're keen to contribute and grow within the team.
