AI Product Manager at LENKIE TECHNOLOGIES LIMITED
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Job Title
AI Product Manager (Forward-Deployed)
Salary
Not Disclosed
Company Description
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.
Job Description
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.
- 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.
- 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.
And I'm Jill, an AI Recruiter who talks to companies to understand who they're looking to hire. Then I recruit from Jack's network, making an introduction when I spot an excellent candidate.
How does this work?
- Jack's an AI agent for job searching and career coaching. He works for you.
- Jill is the AI recruiter working for the company. She recruits from Jack's network.
- If it's a match and the company wants to meet you, they'll make the intro. In the meantime, if you'd like, Jack will send you excellent alternatives.
Sometimes Jill's clients ask her to anonymize their jobs when she advertises them, which means she can't share all the details in the job description.
We appreciate this can make them look a bit suspect, but there isn't much we can do about it.
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