At a Glance
- Tasks: Lead AI strategy and build prototypes to transform SME lending.
- Company: LENKIE TECHNOLOGIES LIMITED, a dynamic fintech startup in London.
- Benefits: High autonomy, impactful work, and the chance to shape the future of finance.
- Other info: Work closely with a CTO from Microsoft and enjoy excellent career growth.
- Why this job: Join a funded startup and make a real difference for small businesses.
- Qualifications: 3-6 years in product management or engineering with Python or TypeScript skills.
The predicted salary is between 72000 - 88000 £ per year.
LENKIE TECHNOLOGIES LIMITED is a Series A London fintech that recently raised £4M in equity and £45M in debt to transform SME lending through innovative credit and cash flow management tools.
Join LENKIE TECHNOLOGIES LIMITED as an AI Product Manager reporting to the CTO. This high-impact role blends 60% product strategy with 40% hands-on technical prototyping. You will embed with Risk and Underwriting teams to identify high-value opportunities, build working LLM prototypes, and scale AI-driven solutions that redefine how small businesses access capital.
Location: London, UK
Why this role is remarkable:
- Lead the AI strategy for a scaling fintech backed by £49M in recent Series A funding, working directly under a CTO with deep ML expertise from Microsoft.
- Enjoy an exceptionally high level of autonomy, owning the entire lifecycle from discovery and solo prototyping to production deployment.
- Drive tangible business impact by automating complex workflows in risk, underwriting, and collections for hundreds of UK-based SMEs.
What You Will Do:
- Partner with Risk, Collections, and Underwriting teams to diagnose operational bottlenecks and identify high-value AI implementation opportunities.
- Build functional end-to-end prototypes using Python or TypeScript, LLMs, RAG, and agents to prove technical feasibility before committing engineering resources.
- Own the AI product roadmap, defining clear success metrics and ensuring every initiative aligns with measurable company growth and risk reduction objectives.
The ideal candidate:
- Brings 3–6 years of experience in product management or engineering, ideally with a background as a software engineer, data scientist, or technical founder.
- Demonstrates hands-on proficiency in Python or TypeScript with a proven track record of building and shipping applications powered by LLMs.
- Possesses strong data fluency with SQL and a commercial mindset to connect technical AI outputs to revenue and operational efficiency.
AI Product Manager at LENKIE TECHNOLOGIES LIMITED employer: Jack & Jill
At Jack & Jill, we pride ourselves on being an exceptional employer that fosters a dynamic and innovative work culture. Our team enjoys a range of benefits including flexible working arrangements, professional development opportunities, and a collaborative environment that encourages creativity and growth. Located in a vibrant area, we offer unique advantages such as access to cutting-edge technology and the chance to work with industry leaders in AI-driven marketing strategies.
StudySmarter Expert Advice🤫
We think this is how you could land AI Product Manager at LENKIE TECHNOLOGIES LIMITED
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Jack & Jill!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like AI Product Manager at LENKIE TECHNOLOGIES LIMITED at Jack & Jill.
✨Leverage Professional Networks
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 Jack & Jill.
✨Apply Directly through Our Website
When you find a suitable opening like AI Product Manager at LENKIE TECHNOLOGIES LIMITED at Jack & Jill, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace AI Product Manager at LENKIE TECHNOLOGIES LIMITED
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 Jack & Jill, 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 Jack & Jill. 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 Jack & Jill
✨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 Jack & Jill!
✨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.