At a Glance
- Tasks: Shape AI products that solve real problems and make a measurable impact.
- Company: Fast-growing UK SME lender on a mission to support small businesses.
- Benefits: Competitive salary, equity, hybrid working, and a meaningful mission.
- Other info: Diverse and inclusive team culture with growth opportunities.
- Why this job: Join a dynamic team and lead the future of AI in finance.
- Qualifications: 3-6 years in product management with hands-on AI skills.
The predicted salary is between 70000 - 90000 £ per year.
Lenkie is a fast-growing UK SME lender on a mission to give small businesses access to fair, fast, and flexible finance. We’re at an exciting inflection point — scaling our lending book and using AI across the business to power how we decide, operate and serve customers.
This is a rare opportunity to shape how Lenkie adopts AI in production: working across the business to turn real operational problems into AI products that ship and make a measurable difference — and setting the template for how we use AI for years to come.
We’re looking for an AI Product Manager (Forward-Deployed) to own how we find, build and ship AI products across Lenkie. You’ll work closely with the CTO and embed with teams across Risk, Collections, Underwriting, Account Management and Operations — finding the problems worth solving, deciding what to build, and prototyping solutions yourself to prove they work before engineering scales them.
This is a product-leaning, hands-on role. It isn’t about writing specs and waiting: you set direction and prioritise, and your AI skills let you validate ideas fast and cheaply. You’ll report directly to the CTO and help define how the whole business uses AI.
Key Responsibilities- Embed with teams across Risk, Collections, Underwriting, Account Management and Operations to diagnose the real problems and decide which AI opportunities are worth building — prioritising by impact, not novelty.
- Own the AI product roadmap and requirements, keeping every initiative clearly specified and tied to company OKRs.
- Prototype hands-on with LLMs (prompting, RAG, agents, evaluation) to validate value quickly and de-risk before engineering commits.
- Partner closely with Engineering to take validated solutions to production, defining success metrics up front.
- Measure adoption and operational impact of everything shipped, and establish reusable patterns and responsible, compliant AI use.
- Translate business problems into AI solutions, and explain AI capabilities, trade-offs and results to non-technical stakeholders.
- 3–6 years of experience in product management or a closely related role, with a track record of shipping products that delivered measurable impact.
- Hands-on AI ability — you can build working prototypes with LLMs (prompting, RAG, agents, evaluation) and reason about feasibility, cost and how to evaluate quality.
- Strong working knowledge of modern AI stacks and how to apply them in production (e.g. Anthropic’s Claude), including how to evaluate and ship LLM-based solutions responsibly.
- Strong product judgement — prioritisation by impact, clear requirements, defining success metrics, and OKR discipline.
- Proficiency with data (SQL and analytics) to size problems and measure impact.
- Comfort working in small, fast-moving teams where you have to be both strategic and hands-on.
- A strong communicator, able to explain AI capabilities and model outputs to non-technical stakeholders.
- Experience in fintech, lending or another regulated environment is a strong plus.
- Python and/or TypeScript, and experience with workflow automation, is a plus.
- Help set how a fast-growing lender adopts AI, with real ownership and influence.
- Competitive salary + meaningful equity.
- Hybrid working from our London office.
- A mission you can get behind - helping small businesses access the finance they deserve.
We’re building a diverse, inclusive and supportive team where everyone can do their best work. We welcome applications from people of all backgrounds, experiences and perspectives, and we do not discriminate based on age, disability, gender reassignment, marriage and civil partnership, pregnancy and maternity, race, religion or belief, sex, or sexual orientation. If you require any reasonable adjustments during the recruitment process, please let us know.
If you would like to apply for this role please send a CV and any other relevant information you want to share to .
AI Product Manager (Forward-Deployed) in England employer: Lenkie
Lenkie is an exceptional employer, offering a unique opportunity for an AI Product Manager to shape the future of AI in a fast-growing SME lender based in London. With a strong focus on employee growth, competitive salaries, and meaningful equity, Lenkie fosters a diverse and inclusive work culture where innovative ideas are encouraged and valued. Join us to make a real impact by helping small businesses access the finance they deserve while working in a hybrid environment that promotes collaboration and flexibility.
StudySmarter Expert Advice🤫
We think this is how you could land AI Product Manager (Forward-Deployed) in England
✨Join Product Management Meetups
Get involved in local product management meetups or workshops. These events are perfect for meeting industry folks, sharing ideas, and staying updated on trends. Plus, you never know who might be hiring—it's a fantastic way to make connections that could lead to a job at places like Lenkie!
✨Show Off Your Product Sense
Create case studies or mini-projects showcasing your product management skills, and share them on platforms like Medium or LinkedIn. This not only puts your skills on display but also boosts your visibility in the product community. Imagine how impressed the hiring team at Lenkie would be by your initiative!
✨Utilise Online Communities
Dive into online product management communities like Product Coalition or Mind the Product. Engage in discussions, ask questions, and share your insights. These platforms are goldmines for networking and finding hidden job opportunities—many companies often scout talent from within these circles.
✨Leverage Your University Network
If you’ve recently graduated or are still in uni, tap into your alumni network for connections in product management. Many universities have their own job boards and affinity resources to help graduates land roles. Don't forget to keep an eye out for job openings at Lenkie through your school's career services!
We think you need these skills to ace AI Product Manager (Forward-Deployed) in England
Some tips for your application 🫡
Show Off Your Product Passion:When applying for a product management role like AI Product Manager (Forward-Deployed), let your passion for developing products shine through in your cover letter. Share specific examples of products you've managed, how you solved user needs, and any successful outcomes you've achieved. This is your chance to showcase your understanding of the product lifecycle!
Highlight Your Cross-Functional Skills:Product management isn't just about understanding the product; it’s about collaborating with different teams! Make sure to emphasise your experience working with developers, designers, and marketers. Use your CV to showcase your ability to bridge gaps between these areas, and include relevant experiences that demonstrate your communication and leadership skills!
Include Your Metrics and Achievements:In a full-time product management application, data speaks volumes! Quantify your achievements wherever possible. Did you increase user retention by a certain percentage? Launch a product ahead of schedule? Include these metrics in your CV to paint a picture of your impact and effectiveness in previous roles.
Tailor Your CV to the Role:Make sure your CV is tailored for the AI Product Manager (Forward-Deployed) position at Lenkie. Use keywords from the job description and ensure your relevant experiences are front and centre. Highlight any certifications or relevant training you’ve completed that will make you stand out as a strong candidate for the role. And remember, we’re excited to see your application on our website!
How to prepare for a job interview at Lenkie
✨Understand the Product Life Cycle
As a product management candidate, we need to get our head around the complete product life cycle. Be prepared to discuss real-world examples of how you’ve managed product development from ideation to launch. Bring specific insights on tools like JIRA or Trello that can help streamline these processes.
✨Showcase Your Cross-Functional Skills
Product management is all about collaboration. We should be ready to highlight how we’ve worked across teams—think marketing, engineering, and design. Prepare to discuss scenarios where you had to mediate differing opinions and how you got everyone on board with a shared vision.
✨Prepare for Case Studies
In a full-time role, we can expect to encounter case study questions during our interviews. Practise solving hypothetical product problems on the spot, such as prioritising features for a new app or improving user engagement metrics. This will show our analytical thinking and decision-making skills.
✨Know Your Metrics
Let’s face it, numbers are our best friends in product management. We should prepare to discuss key performance indicators (KPIs) and how we've used analytics to inform product decisions. Dive into examples where data has driven our strategy for improvements or justified product changes.
