At a Glance
- Tasks: Drive AI initiatives and analyse performance to enhance member experience.
- Company: Join Tide, a leading fintech transforming small business banking.
- Benefits: Competitive salary, generous leave, health insurance, and learning opportunities.
- Other info: Diverse and inclusive culture with excellent career growth potential.
- Why this job: Shape the future of AI in a dynamic, high-autonomy environment.
- Qualifications: 7+ years in analytics with strong coding and strategic skills.
The predicted salary is between 70000 - 90000 £ per year.
At Tide we help SMEs save time (and money) in the running of their businesses by not only offering business accounts and related banking services, but also a comprehensive set of highly usable and connected administrative solutions from invoicing to accounting. Tide is transforming the small business banking market with over 1.8 million members globally across the UK, India, Germany and France. Using advanced technology, all solutions are designed with SMEs in mind. With quick onboarding, low fees and innovative features, we thrive on making data‑driven decisions to serve our mission: to help SMEs save both time (and money) so they can get back to doing what they love.
Tide facts:
- Tide is available for UK, Indian, German and French SMEs
- Over 1.8 million members: 800,000 UK and 1,000,000 in India and growing rapidly
- Over $300 million raised in funding
- Over 2,500 Tideans globally - we’re diversity champions!
- We have offices in Central London, with a member support and technology centre in Sofia, Bulgaria, technology centres in Serbia, Romania, Lithuania and Hyderabad and offices in Gurugram and New Delhi, and in Berlin, Paris and Luxembourg.
As a Senior Product Analyst in AI Foundations, you’ll play a critical dual role: a hands‑on analytics expert and a strategic partner to AI Product Managers and Engineering leaders. This role is ideal for someone who thrives on ownership and can drive high‑impact initiatives in the evolving field of Agentic AI. You’ll work closely with cross‑functional teams across AI Foundations: Product, Operations, Analytics Engineering and Data Science to drive clarity on how our AI agents, ranging from Transaction Analysis Agent to Conversational Onboarding, impact member behavior and drive operational efficiency. We're looking for someone with the ability to influence product and technical roadmaps, lead multiple analytical workstreams in parallel, and who is comfortable rolling up their sleeves to evaluate LLM performance and business impact. If you enjoy a high‑autonomy environment where you’re expected to shape the agenda for AI adoption, we’d love to hear from you.
About the Role:
- Shape AI Roadmap: Influence the strategy for AI Foundations by identifying automation and member experience opportunities using data‑driven insights.
- End‑to‑End Ownership: Own analytics initiatives for Agentic use cases, from initial problem scoping and "Current State" benchmarking to the delivery of post‑launch impact recommendations.
- KPI Definition: Define and monitor critical KPIs for AI agents, such as reduction in manual investigation hours, "Time Spent per Alert," and successful completion rates.
- Deep‑Dive Analysis: Lead structured analyses into AI agents performance.
- Experimentation & Validation: Partner with Product and Engineering leaders to design experiments and test AI agent logic against manual human baselines to ensure accuracy and safety.
- Technical Execution: Use SQL and Python to explore large datasets, evaluate the output of Agentic workflows, and test hypotheses regarding member friction and operational bottlenecks.
- Storytelling: Translate complex AI performance metrics into compelling narratives and visualisations using Looker to show business leaders the ROI of our AI investments.
What We Are Looking For:
- Experience: Have 7+ years of analytics experience (Senior level) with a proven track record in a high‑growth product, FinTech, or SaaS environment.
- Technical Balance: You are equally comfortable writing complex code to analyze agent logs and presenting high‑level strategic summaries to leadership.
- Commercial Mindset: An instinct for prioritising AI use cases based on potential business impact, such as focusing on high‑volume manual tasks.
- Clarity from Ambiguity: Known for creating structured frameworks to measure the success of non‑deterministic AI outputs and evolving Agentic workflows.
- Stakeholder Management: A consistent track record of influencing Product and Engineering stakeholders and delivering change through data‑backed insights.
- Domain Interest: Experience or a strong interest in AI/ML, particularly in how automation affects Operational Efficiency and Member Experience.
- Data Tooling: Mastery of SQL and proficiency in Python for data manipulation; experience with BI tools like Looker is essential.
- Self‑Driven: You are a proactive "driver" who identifies gaps in the roadmap and proposes analytical solutions without being prompted.
What You’ll Get in Return:
- Competitive Compensation: Competitive salary and share options.
- Time Off: Generous annual leave on top of bank holidays.
- Parental Leave: Paid maternity, paternity, and adoption leave to support your family journey.
- Sabbatical: Extended unpaid and paid leave options after completing milestone years with Tide.
- Health Insurance: Private family insurance with additional OPD coverage and top‑up options.
- Life & Accident Cover: Comprehensive accidental and life insurance protection.
- Mental Wellbeing: Access to therapy sessions, courses, meditations, and workshops.
- Volunteering & Development Days: Paid days annually for volunteering or personal growth.
- Learning & Development: Annual budget for books, courses, coaching, and more.
- WOO (Work Outside the Office): Work from abroad for up to 90 days annually.
- Home Office Setup: Contribution towards setting up your home office.
- Laptop Ownership: Keep your old laptop and get a new one when it’s time for a replacement.
- Snacks & Meals: Office perks with snacks, coffee, tea, and lunch (location dependent).
Tide is a Place for Everyone: At Tide, we believe that we can only succeed if we let our differences enrich our culture. Our Tideans come from a variety of backgrounds and experience levels. We consider everyone irrespective of their ethnicity, religion, sexual orientation, gender identity, family or parental status, national origin, veteran, neurodiversity or differently‑abled status. We celebrate diversity in our workforce as a cornerstone of our success. Our commitment to a broad spectrum of ideas and backgrounds is what enables us to build products that resonate with our members’ diverse needs and lives. We are One Team and foster a transparent and inclusive environment, where everyone’s voice is heard.
Senior Product Analyst, AI Foundations in London employer: Tide
At Tide, we pride ourselves on being an exceptional employer, offering a vibrant work culture that champions diversity and innovation. As a Senior Product Analyst in AI Foundations, you'll enjoy competitive compensation, generous time off, and extensive learning opportunities, all while working in our dynamic Central London office. With a strong focus on employee growth and well-being, including mental health support and the flexibility to work from abroad, Tide is dedicated to empowering you to thrive both personally and professionally.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Product Analyst, AI Foundations in London
✨Tip Number 1
Network like a pro! Reach out to current or former Tide employees on LinkedIn. A friendly chat can give you insider info and maybe even a referral, which can really boost your chances.
✨Tip Number 2
Prepare for the interview by diving deep into Tide's mission and values. Show us how your experience aligns with helping SMEs save time and money. We love candidates who are genuinely passionate about what we do!
✨Tip Number 3
Practice your storytelling skills! Be ready to share specific examples of how you've used data to drive decisions in previous roles. We want to see how you can translate complex analytics into actionable insights.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows us you’re serious about joining the Tide team.
We think you need these skills to ace Senior Product Analyst, AI Foundations in London
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your CV and cover letter for the Senior Product Analyst role. Highlight your experience in analytics, especially in AI and FinTech, and show us how you can drive high-impact initiatives.
Showcase Your Technical Skills:Don’t forget to mention your proficiency in SQL and Python! We want to see how you’ve used these tools in past roles to analyse data and influence product decisions.
Demonstrate Your Strategic Thinking:We love candidates who can think strategically! Share examples of how you've identified opportunities for automation or improved member experiences using data-driven insights.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity at Tide!
How to prepare for a job interview at Tide
✨Know Your AI Foundations
Before the interview, dive deep into Tide's AI Foundations and understand how they impact member behaviour. Familiarise yourself with the specific AI agents mentioned in the job description, like the Transaction Analysis Agent and Conversational Onboarding. This knowledge will help you demonstrate your genuine interest and ability to contribute.
✨Showcase Your Analytical Skills
Prepare to discuss your past experiences with analytics, especially in high-growth environments. Be ready to share specific examples of how you've influenced product roadmaps or defined KPIs. Use metrics and outcomes to illustrate your impact, as this aligns perfectly with the role's focus on data-driven decision-making.
✨Master the Technical Side
Brush up on your SQL and Python skills before the interview. You might be asked to solve a technical problem or discuss how you would approach analysing large datasets. Being able to speak confidently about your technical expertise will set you apart from other candidates.
✨Craft Your Storytelling Skills
Since translating complex AI performance metrics into compelling narratives is key for this role, practice how you would present data insights to non-technical stakeholders. Think about how you can use visualisation tools like Looker to make your points clear and engaging, showcasing your ability to communicate effectively across teams.
