At a Glance
- Tasks: Lead AI decisioning and pricing initiatives, driving impactful product improvements.
- Company: Join a dynamic team at Raylo, focused on innovation and growth.
- Benefits: Competitive salary, flexible work environment, and opportunities for professional development.
- Other info: Collaborative culture with a focus on outcomes and rapid execution.
- Why this job: Make a real impact in a fast-paced environment using cutting-edge AI technology.
- Qualifications: Experience in product management, strong SQL skills, and a passion for AI.
The predicted salary is between 80000 - 100000 € per year.
Requirements
- You're currently a Lead or Head of Product, passionate about backend systems and how things work under the hood.
- You're energised by complexity, balancing competing variables and finding the insight that changes how you see the problem.
- You're deeply curious about AI and already using these tools, even if your current employer hasn't caught up.
- You know your products inside out, make fast well‑reasoned decisions, and engineers are never left waiting on you.
- Strong SQL skills and a habit of digging into the numbers yourself.
- A track record of moving metrics that matter.
- Experience bringing engineering, risk, legal and commercial teams with you.
- Real in‑market experimentation experience and the ability to tell a result from noise.
- Comfort in fast‑moving, high‑ownership environments where the answer isn't always obvious.
What the job involves
This is a high‑impact Lead PM role reporting directly to Raylo’s Co‑Founder and Chief Product Officer. You’ll own the decisioning and pricing domain, one of our biggest growth levers, setting direction for frontend and backend engineers while partnering closely with Risk Strategy, who own credit modelling and analytics. Your work will directly impact approval rates, conversion, loss rates and ARR.
You’ll be part of a close‑knit product, engineering and design team. Designers obsess over taste, systems and service design. Product managers stay focused on value and what customers actually need, using quick, throwaway AI‑assisted prototypes to test ideas before real code gets written.
Our engineers do what great engineers love most: they build. They use the best harness available, often Claude Code, and let AI take the first pass. When AI isn’t up to scratch, they go hands on the keyboard. AI accelerates their work, but craft, judgement and ownership stay with the engineer. All production code gets a final human review.
The team is organised into focused squads, partnering closely with the business. We care about outcomes more than process. AI is compressing execution, so rigid long‑term roadmaps matter less than they used to. But north stars still matter. We know where we’re going. How we get there is increasingly fluid.
AI decisioning and pricing is our core competitive advantage. The better our decisioning gets, the more good customers we can approve; the better our pricing gets, the more customers we can attract and convert.
You’ll move the metrics that matter: approval rates, funnel conversion, loss rates, and insurance attachment. You’ll do that by finding and shipping improvements across the full decisioning and pricing stack, whether that’s verification UX, new data sources, open banking, pricing strategy, or the tooling Risk Strategy team needs to model and experiment faster. You’ll also lead the launch of AI‑driven dynamic subscription pricing that responds to live market signals — a genuinely new capability for the category.
The scope is broad and this is the biggest lever we have for ARR growth. You’ll set the direction, then go deep on the details to make it real.
Lead Product Manager (AI Decisioning & Pricing) in London employer: Deepstreamtech
At Raylo, we pride ourselves on being an exceptional employer that fosters a dynamic and innovative work culture. As a Lead Product Manager, you'll thrive in a collaborative environment where your insights directly influence key metrics and drive growth. With a strong focus on employee development and the unique opportunity to work at the forefront of AI decisioning and pricing, you'll be empowered to make impactful decisions while enjoying the benefits of a close-knit team dedicated to excellence.
StudySmarter Expert Advice🤫
We think this is how you could land Lead Product Manager (AI Decisioning & Pricing) in London
✨Tip Number 1
Network like a pro! Reach out to folks in your industry on LinkedIn or at events. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! If you’ve got a portfolio or examples of your work, bring them along to interviews. It’s a great way to demonstrate your expertise in AI decisioning and pricing.
✨Tip Number 3
Prepare for the unexpected! In fast-moving environments, interviewers might throw curveballs. Stay calm, think on your feet, and show how you can tackle complex problems.
✨Tip Number 4
Apply through our website! We love seeing candidates who are genuinely interested in joining us. Plus, it gives you a chance to showcase your enthusiasm for the role right from the start.
We think you need these skills to ace Lead Product Manager (AI Decisioning & Pricing) in London
Some tips for your application 🫡
Show Your Passion for AI:Make sure to highlight your curiosity and experience with AI tools in your application. We want to see how you've used these technologies to drive results, so share specific examples that demonstrate your enthusiasm and expertise.
Get into the Numbers:Since strong SQL skills are a must, don’t shy away from showcasing your analytical abilities. Include instances where you’ve dug into data to make informed decisions or improve metrics that matter. We love a candidate who can back up their claims with solid numbers!
Collaboration is Key:We’re all about teamwork here at StudySmarter, so emphasise your experience working with cross-functional teams. Whether it’s engineering, risk, or legal, show us how you’ve successfully brought different groups together to achieve common goals.
Keep it Relevant and Concise:When crafting your application, focus on the most relevant experiences that align with the role. We appreciate clarity and brevity, so keep your points sharp and to the point. And remember, applying through our website is the best way to get noticed!
How to prepare for a job interview at Deepstreamtech
✨Know Your Product Inside Out
Before the interview, make sure you have a deep understanding of the products you'll be managing. Be ready to discuss how they work under the hood and how AI can enhance their performance. This will show your passion and expertise in the field.
✨Showcase Your SQL Skills
Brush up on your SQL skills and be prepared to demonstrate how you've used data to drive decisions in past roles. Bring examples of metrics you've moved and how those changes impacted the business. This will highlight your analytical mindset.
✨Emphasise Collaboration Experience
Be ready to talk about your experience working with cross-functional teams, especially engineering, risk, and legal. Share specific examples of how you've brought these teams together to achieve common goals, as this role requires strong collaboration.
✨Demonstrate Your Curiosity About AI
Express your enthusiasm for AI and how you've implemented or experimented with AI tools in your previous roles. Discuss any real in-market experimentation you've conducted and how you differentiate between meaningful results and noise.
