At a Glance
- Tasks: Drive growth through SEO, lifecycle emails, and conversion experiments.
- Company: Join Arithmos, a pioneering fintech company transforming direct indexing.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Dynamic team environment with a focus on learning and experimentation.
- Why this job: Be at the forefront of innovation in fintech and make a real impact.
- Qualifications: 4+ years in growth roles with strong technical skills in React/Next.js.
The predicted salary is between 60000 - 80000 £ per year.
Run the growth loop — programmatic SEO, lifecycle email, and conversion experiments — end to end. About Arithmos.
Arithmos is building the retail layer for direct indexing.
We turn a plain-English idea into a transparent, rule-based portfolio with institutional-grade backtesting and analytics.
The role.
You will own the top-of-funnel — programmatic SEO surface (locations, comparisons, blog), lifecycle email + push, signup + paywall conversion, and the experiment infrastructure that lets us learn weekly.
Half engineer, half growth lead.
What you’ll do Programmatic SEO + GEO Expand /locations and /compare to thousands of well-targeted pages Own the schema. org + llms. txt surface for generative engines Run on-page + technical SEO experiments to chart-topping result Lifecycle + activation Email/push/in-app drip — verify-email, first-build, rebalance day Onboarding A/B tests on the help-me modal + roll-the-dice flow Win-back loops for lapsed Plus subscribers Conversion + paywall Pricing-page experiments and Stripe checkout copy Tier-gating UX (locked-range banner, upgrade prompts) Requirements 4+ years owning growth at a Saa S or consumer fintech product Strong technical chops — comfortable shipping React/Next. js code yourself Built programmatic-SEO sites that ranked Numbers-led: comfortable in Post Hog / Mixpanel / SQL Nice to have Background in fintech / investing / brokerage Worked with Resend, Postiz, or other lifecycle tooling Imagine you want to #J-18808-Ljbffr
Growth Engineer (SEO + Lifecycle) in Cardiff employer: Arithmos
At Arithmos, we pride ourselves on being an exceptional employer that fosters a culture of innovation and collaboration. Our team enjoys a dynamic work environment where growth engineers can thrive, with ample opportunities for professional development and hands-on experience in cutting-edge technologies. Located in a vibrant area, we offer competitive benefits and a commitment to work-life balance, making it an ideal place for those seeking meaningful and rewarding employment in the fintech space.
StudySmarter Expert Advice🤫
We think this is how you could land Growth Engineer (SEO + Lifecycle) in Cardiff
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We think you need these skills to ace Growth Engineer (SEO + Lifecycle) in Cardiff
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!
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Craft a Tailored Cover Letter:For a full-time role at Arithmos, 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 Arithmos. 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 Arithmos
✨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!
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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 Arithmos!
✨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.
