> Markdown version of [/jobs/ext/4229158-product-owner](https://www.wearedevelopers.com/jobs/ext/4229158-product-owner). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Product Owner - **Company:** Loyal Guru - **Location:** Barcelona, Spain - **Contract:** Permanent contract - **Skills:** Sql Data Warehouse, Artificial Intelligence, Data Analysis, Confluence, JIRA, BigQuery, SQL Databases, Information Technology - **Published:** October 29, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=7e9bf9c413702a82 ## About the Role * Organized and methodical: you keep backlogs, specs and documentation tidy, follow a process and close what you open. * Clear communication: you explain priorities and decisions simply, in English and Spanish, to engineers, Customer Success and clients alike. * Motivated to guide teams: you enjoy leading a team towards a goal, keep people aligned and take ownership when things get stuck. * Smart and driven: you learn fast, you're curious and you want to grow with the role. * Engineering background: a degree in engineering, computer science, maths or a similar technical field. * 3-5 years of experience as a Product Owner, Business/Data Analyst or in a similar role working with engineering teams. * Solid SQL: you write joins, aggregations and window functions on your own and can tell when a number looks wrong. * Hands-on: you're happy to go into the detail yourself, from a query to building a dashboard, instead of only delegating. * Strong logical thinking: you break a problem into steps and find the root cause instead of the first plausible answer. Nice to have * Experience with BigQuery or another cloud data warehouse. * Experience with BI tools (building or validating dashboards) is a strong plus. * Knowledge of loyalty programs (points, tiers, rewards), CRM, promotions or retail data. * Experience with Jira and Confluence. * Basic Python for data checks or small automations. ## Description Loyal Guru is an AI-driven loyalty and promotions platform for enterprise retailers. We're hiring a Technical Product Owner with an engineering background who is comfortable writing SQL and digging into data. The role has two phases: * Phase 1 (4-6 months): you are the Product Owner of our Loyalty Engine team, covering its PO during a leave and owning the backlog and day-to-day delivery. * Phase 2: you become the Product Owner of our Analytics team: you own its product roadmap and define with our clients the dashboards they need, while staying hands-on - you write queries, solve data support cases, and validate or even build dashboards when needed. What you'll do Phase 1 - Product Owner, Loyalty Engine * Guide the team day to day: set clear priorities, unblock people and keep everyone focused on the same goal. * Own and prioritize the team's backlog, keeping it clear, sized and ready for the next sprint. * Write user stories with acceptance criteria that engineers can build and QA can test. * Run the team's ceremonies (refinement, planning, review) together with the engineering lead. * Be the link between engineering, Customer Success and clients: clarify requirements and keep stakeholders updated. * Follow up on incidents and post-mortem actions so nothing stays open without an owner. Phase 2 - Technical Product Owner, Analytics * Own and define the Analytics product roadmap: work with our key retail clients and internal stakeholders to decide which dashboards, data models and data exports to build, based on their business needs. * Write SQL queries (BigQuery) to answer client and internal questions, investigate data issues and check numbers. * Go down to the detail whenever a problem needs it, from the roadmap to a single query or one client's data. * Solve or triage analytics support tickets before they reach engineering. * Validate new and changed dashboards against the source data before they go to clients, and build one yourself when the team needs it. * Write clear functional specs and document how each metric is calculated.