At a Glance
- Tasks: Own and scale systems for outbound marketing and data pipelines in a fast-paced fintech environment.
- Company: Join Levl, a dynamic fintech startup backed by top investors and industry leaders.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Autonomous role with excellent career advancement potential in a rapidly growing company.
- Why this job: Make a real impact in the fintech space while working with cutting-edge technology.
- Qualifications: Experience in GTM engineering or demand generation, with a hands-on approach to modern tools.
The predicted salary is between 45000 - 55000 £ per year.
Levl is a fast-growing fintech building a unified platform for secure, low-cost cross-border payments in both fiat currencies and stablecoins.
We closed a $7 million seed funding round, led by Galaxy Ventures and backed by top investors including Protagonist, Deus X, Blockchain Builders Fund, Open FX, Falcon X, CMCC, Variant Fund, and a strategic angel network featuring leaders from Revolut, Brex, and Comun.
Levl is incubated and funded by Galaxy Digital (NASDAQ: GLXY), a major public financial services firm.
Our team brings experience from leading organisations like Pay Pal, Deutsche Bank, London Stock Exchange Group, RBC, Black Rock, AQR, Brevan Howard, and Galaxy Digital, offering deep expertise across traditional finance and digital assets.
The Role
Own and scale the systems that generate pipeline for the commercial team.
You will build the automation infrastructure, data pipelines, and AI-powered workflows that enable our team to move faster, experiment continuously, and convert pipeline efficiently as we scale.
Outbound already runs here, with sequences, enrichment, and AI-assisted workflows in place.
You will take that stack, own it outright, and turn it into something that compounds.
The same applies to our campaign and content work.
You will report to the Head of Sales, with a high degree of autonomy over how the function is built and which tools it runs on.
Key Responsibilities
- Own and scale the outbound engine end to end: targeting, enrichment, sequencing, and the data flowing into Hub Spot.
- Turn our ICP into targeted, signal-triggered campaigns, and launch new ones every month.
- Build the data pipelines that keep account and contact data accurate.
- Ship AI-powered workflows and agents that remove manual work across the commercial team, from account research and prioritisation through to call briefs.
- Own email deliverability end to end: domains, warmup, SPF, DKIM, DMARC, inbox health, and bounce and spam rates.
- Write and test the copy, running structured experiments on angles, subject lines, and channel mix across email, Linked In, and phone.
- Build and run account based marketing campaigns against our named target list, so the accounts that matter most are reached through more than one channel rather than a single sequence.
- Own the campaign layer around conferences and industry events: build the attendee target list, run pre-event outreach, and run the follow-up afterwards.
- Produce and schedule the content that supports outbound, including Linked In posts, corridor-specific one-pagers, and landing pages, and test what actually moves reply and conversion rates.
- Tailor messaging by persona and by corridor.
- Book qualified discovery calls for the commercial team, with a short brief before each one.
- Instrument all of it. Report on reply rate, meeting rate, conversion, and cost per booked call, and move effort away from what does not work quickly.
- What We’re Looking For
- One or more years in GTM engineering, growth engineering, revenue operations, or outbound-heavy demand generation, with systems you can point to and walk us through.
- Hands-on with the modern GTM stack: enrichment and list building, sequencers, CRM, and no-code automation.
- Comfortable with APIs, spreadsheets and SQL at depth, and light scripting. You debug a broken workflow rather than elevate it.
- AI Fluency demonstrated through systems you have shipped, including prompt design inside live workflows.
- Practical command of deliverability.
- Copywriting that gets replies, and the discipline to test rather than guess.
- Outcomes rather than tickets. You find the problems yourself by sitting close to the people selling.
- Comfortable working autonomously in a fast-paced environment.
- Experience prospecting into financial institutions, payments, or FX is a plus.
Payments, FX, or crypto knowledge is not required, and we will teach you the product and the corridors.
- What Good Looks Like
- New campaigns launched every month, with a clear read on which ones worked and which did not.
- Qualified discovery calls landing on the commercial team's calendars, consistently and predictably.
- Workflows that run reliably without manual intervention.
- Reply and conversion rates improving quarter on quarter.
- Every conference and event we attend backed by a campaign, with booked meetings you can count.
- CRM data the commercial team relies on without checking it first.
- #J-18808-Ljbffr
GTM Engineer employer: Levl
Levl is an exceptional employer for recent graduates looking to kickstart their careers in trading and finance. With a competitive compensation package and a collaborative, growth-oriented team culture, employees benefit from direct exposure to institutional payment flows and digital asset markets. As a fast-growing fintech backed by prominent investors, Levl offers clear pathways into leadership roles, making it an exciting place to grow and thrive in a high-impact startup environment.
StudySmarter Expert Advice🤫
We think this is how you could land GTM Engineer
✨Get Involved in Data Science Meetups
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✨Show Off Your Projects
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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 Levl.
✨Apply Directly through Our Website
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We think you need these skills to ace GTM Engineer
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 Levl, 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 Levl. 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 Levl
✨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 Levl!
✨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.
