Senior Product Manager

Role Overview

We are looking for a Product Manager to manage and evolve a data platform that serves internal teams across four countries. The role combines an evangelist stance – ensuring the platform feels like a consumer‑grade product for engineers, PMs and data scientists – with an operator stance – balancing day‑to‑day maintenance with long‑term innovation.

The Role

• Evangelist/Teacher: Treat the platform like a consumer product, obsessing over ease of adoption, trust and usability for engineering, product and data teams.
• Shipper/Engine‑room: Manage the trade‑offs between keeping the lights on and building new tools, and be ready to say “No” to the Head of Sales when needed to ship long‑term fixes.

Responsibilities

• Product Strategy – position “data as a seamless enabler of speed & impact.”
• Define the “Golden Path” – create a governed roadmap that governs dataset birth, certification and deprecation.
• Balance Safety vs. Speed – solve the fintech paradox of granting instant data access to 500 users without leaking PII or violating regulations.
• ROI & Attribution – track platform value, identify zombie data products and measure which datasets drive decisions.
• The Engine (Technical Execution) – own real‑time capabilities, event streaming for fraud checks and instant notifications.
• The Semantic Layer – own the business‑logic layer, ensuring consistent definitions across Finance and Product, and creating metadata that powers AI products.
• Platform Scalability – prioritize technical debt alongside feature work to prevent the data stack from buckling under 10x growth.
• The Experience (Internal Enablement) – own the discovery experience and the Data Portal, enabling teams to find datasets, read documentation, and see ownership.
• Self‑Serve or Die – eliminate data support tickets by building tools that let PMs run A/B tests and commercial leads build dashboards.
• Community Building – run data clinics, publish internal newsletters and champion a culture where data literacy is a core skill for everyone.
• AI Strategy & Innovation – explore, experiment and build strategy for LLMs and future AI agents to enhance customer experience and data products.

Qualifications

• 5+ years of Product Management experience, comfortable discussing lakehouses, warehouses, user journeys and architecture.
• Fintech context (preferred): deep understanding of data as a ledger, audit trails and immutability.
• SQL fluent – able to query and manipulate own data without relying on a DBA or analyst.
• Empathy for customers – building for backend engineers, marketing leads, and other data consumers.
• Governance as a product – see governance as a feature that gives confidence, not red‑tape, and can be automated.

Why This Role is Different

• Many Fintechs build pipelines and ignore user experience; many tech companies focus on insights but lack data‑engineering complexity.
• We offer both – engineering complexity of a neobank with the product culture of a SaaS platform.
• Less “How”, More “When” and “Who”: Tech leads own architecture; you give them clarity, space and ensure their work is adopted.
• High visibility – you are the face of data in every room and manage communications when things go well or break.

Success Metrics (How We Measure You)

• Adoption: % of internal teams actively using the platform with required segmentation and tooling.
• Velocity: End‑to‑end latency, change‑failure rate, recovery time (DORA metrics).
• Trust: Reduction in data‑quality support tickets and improvement in user satisfaction.
• ROI: Incremental value – revenue, cost savings, time saved, stability, risk reduction.

Diversity, Equity & Inclusion

We serve over 150,000 places across the UK and are committed to building teams that reflect the diversity of the businesses we serve. We strive to create an environment where everyone can thrive and innovate.

Join Us

Visit https://dojo.careers for benefits details and more about what it is like to work at Dojo.

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