Product Analyst - 4 (AI Foundations)
TideIndia, Delhi NCRPosted 31 March 2026
Job Description
ABOUT TIDE
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.
About You
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. You are expected to proactively develop an understanding of our Agentic ecosystem to surface perspectives we haven’t considered, driving the agenda even when unasked.
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 str ... (truncated, view full listing at source)
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