Landytech
Product Owner - B2B SaaS Fintech

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About Landytech
Landytech is the company behind Sesame, the investment management platform that gives family offices, trust companies, private banks and other sophisticated asset owners a single, reliable view of their wealth. We help firms consolidate data across 500+ custodians, run institutional-grade analytics, automate investment reporting and collaborate without the usual spreadsheet chaos. Our mission is to revolutionise access to investment data and insights from one central platform.
We are a high-growth B2B fintech, backed by Aquiline Technology Growth, with offices in London, Paris and Pune. Being part of Landytech means joining a team of ambitious people solving some of the hardest problems in investment technology.
Team & Role
We are seeking a data-driven Product Owner to join our agile scrum team building innovative fintech products. You will leverage your expertise with financial data to inform product direction and specifications for our Enterprise Data Management team.
AI is reshaping software development and bringing product, design and engineering roles closer together. In this role, you will create product designs, use AI coding tools to build and test working prototypes, and contribute actively to technical discussions with engineers.
What We Are Looking For
- Developing the team's product roadmap and prioritise the product backlog, accounting for company-level strategic objectives and internal/external stakeholder requests
- Translating complex financial data needs into intuitive user experiences, creating designs and interactive prototypes in collaboration with designers and engineers
- Using AI coding tools to build functional prototypes and minimum viable products (MVPs), testing ideas with users and iterating to validate product-market fit
- Tracking product adoption, usage, and key business metrics, while owning the KPIs used to monitor the team's outcomes
- Shaping enterprise data architecture and data flows around client needs, defining requirements for how financial data is organised, integrated and made available across systems in collaboration with engineers
- Building detailed requirements for enterprise data management workflows and capabilities
- Contributing to technical discussions with engineers, assessing feasibility and refining prototypes to inform implementation decisions
- Coordinating and communicating internally on priorities across client, implementation, engineering, marketing, and sales teams
Reasons to use Rodeo
I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?
Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.
Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.
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Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.
Graduate Consultant — 2026 Scheme
Why you're a good match
StrongYour economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.
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Why you're a good match
You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.
Experience fit
Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
Your Skills & Expertise
- 3+ years of experience as a fintech Product Owner working with complex financial datasets
- A Bachelor's degree in Finance, Quantitative Finance, Computer Science, Mathematics, or a related field
- Prior experience working with financial data and applying data analysis or data science tools to solve financial challenges, particularly within market finance/investment management
- Advanced technical knowledge of database architecture; knowledge of SQL is preferable
- Demonstrate interest in AI and a general understanding of AI tools and architectures, through personal experimentation, professional experience or learning such as courses and certifications, with a willingness to apply AI to product design and prototyping
- Experience using AI coding tools such as Claude Code, Codex or Cursor is an advantage, but is not a requirement
- Excellent verbal & written communication skills and you are able to convey detailed specifications and refine product priorities
- Prior experience interacting and engaging with cross-functional stakeholder groups
- Fluent in English and based in London, UK


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Why Landytech?
- High growth: We are growing quickly, with international expansion underway.
- Ownership: Responsibility comes quickly, and all new employees receive stock options after successfully completing their probationary period.
- Career pathway: There are clear routes from this role into senior sales development, Sales, Marketing or GTM systems career paths.
- Expertise: You will get hands-on learning from people who know this market exceptionally well.
- Collaboration: You will work closely across Marketing and Sales and in collaboration with our product teams.
- Transparency: We believe in shared dashboards, clear KPIs and regular Q&A sessions with our CEO.
Our Benefits
- An opportunity to work in a fast growing fintech revolutionizing investment reporting
- Hybrid style of work/2 days working from our office in London
- Stock options, bonus & commission schemes depending on your role
- Private medical insurance with Bupa for you and your family members
- Pension Plan with NEST
- Cycle to Work Scheme and gym allowance
- Office food & drinks, regular socials
If this sounds like you, we are looking forward to hearing from you!
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