Technical Product Manager

Technical Product Manager
Waterloo - Hybrid Working
Full Time
Permanent
Grade 4

The squad you join is greenfield, built around a real business domain, and backed by senior sponsorship. You will own that domain end to end, set the roadmap with stakeholders, and ship products that move the numbers in the P&L.

These problems are genuinely hard: optimising stock availability, automating complex operating processes, putting useful AI into the hands of frontline colleagues, and monetising the audience and data we already have. You will be a change agent in a business moving fast and willing to back people who can move with it.

You will partner closely with engineers to bring your products to life. You will work with colleagues across Technology, Finance, People, Retail, Commercial, and Services to identify opportunities, rapidly prototype and then product ionise solutions. You will also engage with IT Operations, Info Sec and Enablement teams on shared infrastructure, AI capabilities, and governance.

• You’ll build products with a modern data and AI stack:
  Claude Code, Databricks, dbt, and Omni.
• Own the product roadmap for your squad, balancing stakeholder needs against technical feasibility and platform dependencies.
• Lead rapid prototyping and discovery work to identify high-value opportunities, validating them through user research, stakeholder discussions, and data exploration.
• Write clear product requirements, user stories, and acceptance criteria that Data Engineers and Analytics Engineers can deliver against.
• Define and track metrics that measure whether your products are creating business impact.
• Run agile ceremonies and quarterly OKR setting for your squad so the team is aligned and understands what success looks like.
• Coordinate sprint demos and roadmap readouts, communicating progress and trade-offs to stakeholders in language they understand.
• Work closely with engineers on source ingestion, pipeline design, data modelling and data quality.

• 3‑5 years of experience in technical product management, working with data and analytics products, and LLM/ML solutions.
• Demonstrated comfort working directly with engineers; you need to hold your own in technical conversations.
• Extensive experience using AI tools to automate and improve your own workflows, and a point of view on how AI can improve products.
• Experience with agile delivery in cross‑functional squads, including backlog management, sprint ceremonies, and OKR frameworks.
• Strong stakeholder management skills, translating between business and technical language, and pushing back constructively when priorities conflict.
• Familiarity with modern data stack concepts: medallion architecture, dimensional modelling, data lakes, semantic layers.

• Degree in a technical or business field, or equivalent experience.
• You’re a product builder, defaulting to building POCs and Prototypes.
• You cultivate meaningful relationships with stakeholders, lead with empathy, and foster a culture of collaboration.