
Product Owner - SaaS (UK)
- Remote
- Manchester, Manchester, United Kingdom
- Location Intelligence
Job description
We’re hiring a Product Owner to anchor the delivery and execution side of the Kalibrate Location Intelligence (KLI) Product Development Team. In this role you will take full ownership of sprint planning, backlog hygiene, ticket quality, and process discipline. KLI is a data-heavy SaaS platform used by retailers, analysts, and real estate planners—so attention to detail and a love of clarity is critical.
We’re also entering an exciting new phase of AI-powered innovation across the platform. Experience with AI product workflows, especially Agentic AI Architecture, RAG, CAG, and LLM prompting, will be considered a strong bonus.
Job requirements
Core Responsibilities
Run Agile Ceremonies
Lead daily standups, sprint planning, sprint reviews, and retrospectives
Ensure agile cadence and rituals run smoothly and predictably
Own and Maintain the Sprint Board
Keep JIRA boards accurate and up-to-date at all times
Track blockers, dependencies, and sprint burndown progress
Coordinate with the dev team to ensure clarity of tasks and workload distribution
Enforce Change & Release Management
Ensure all tickets are tagged (Feature Request, Bug, Hotfix, etc.) and linked to the correct release
Enforce process discipline for mid-sprint changes and escalation
Uphold traceability and audit-readiness of change logs
Backlog Grooming & Management
Vet and triage incoming feature requests, bugs, and enhancements
Categorise and prioritise backlog items with clear structure
Ensure all backlog items are sufficiently scoped and dev-ready
Sprint Planning & Scope Coordination
Define sprint scope based on capacity and roadmap goals
Balance delivery across new features, bugs, technical improvements, and internal tooling
Collaborate on Ticket Creation
Work with developers to flesh out user stories based on specs from the Product Manager
Translate functional requirements, design specs, and wireframes into well-scoped JIRA tickets
Clarify edge cases, dependencies, and estimate complexity collaboratively
Stakeholder Updates
Act as primary sprint delivery contact for internal stakeholders
Communicate blockers, changes, and progress to cross-functional teams
Drive Retrospective Follow-through
Capture and own action items from retrospectives
Track progress on process improvements across sprints
QA & Acceptance Oversight
Ensure each ticket meets acceptance criteria before moving to "Done"
Coordinate and support QA to ensure validation for readiness to ship
Ideal Background
2–4 years experience as a Product Owner or Delivery Manager within a SaaS, analytics, or data-heavy product environment
Strong Agile/Scrum foundation; must be able to run ceremonies independently
Fluent in JIRA: confident with JQL (JIRA Query Language) and can build dashboards for sprint tracking, issue trends, and reporting
Comfortable working across technical teams (developers, QA, data engineers) and non-technical stakeholders (support, customer success, commercial)
Excellent written communication; experience writing clean, developer-ready tickets with clear acceptance criteria
Basic proficiency with Python and tools like Postman (for testing APIs and understanding technical integration work)
Experience working in enterprise B2B SaaS, ideally for platforms with maps, analytics, or user-configurable forecasting tools (e.g. economic/financial/demographic forecasting)
Exposure to geospatial or location data concepts (e.g. trade areas, POIs, cannibalization analysis, foot traffic) is helpful
Demonstrated ability to triage feedback, manage stakeholder expectations, and apply user empathy when shaping backlog priorities
Bonus:
Experience or familiarity with Generative AI concepts, especially prompting large language models (LLMs) and Agentic AI Workflows.
Certified Scrum Product Owner (CSPO) or equivalent certification.
Project Management Professional (PMP) or similar project management certification.
Experience in UX Design for GIS application.
Experience in UX for mobile application (mapping platforms, analytical platforms).
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