[Hiring] Product Owner @Confie TA Admin

Role Description

The Product Owner will own the vision, roadmap, and delivery of an internal performance management application that covers the end-to-end performance cycle for frontline operations. This includes reliable data ingestion and metric definition, performance visibility for agents, supervisors, and regional leaders, and closed-loop coaching workflows from insights to action plans to tracking. The Product Owner is accountable for measurable business outcomes, adoption, and safe deployment of AI-driven capabilities that improve coaching quality and operational performance.

• Define and communicate product vision, strategy, and roadmap aligned to business objectives for frontline performance management.
• Translate operational needs into a prioritized backlog with clear user stories, acceptance criteria, and measurable success metrics.
• Design and run phased delivery from MVP to full deployment: pilot, controlled rollout, and scale with monitoring and change management.
• Own end-to-end performance cycle features, including goal setting, scorecards, task and action plan workflows, coaching plans, and leader dashboards.
• Establish product analytics and instrumentation: adoption, engagement, funnel metrics, and outcome tracking. Drive post-launch iteration based on evidence.
• Partner with data engineering and analytics to define data contracts, metric logic, data quality checks, and latency targets across Snowflake, BI tools, CRM, and telephony.
• Build governance for metric changes: versioning, stakeholder sign-off, and impact assessment to prevent metric drift and loss of trust.
• Lead agile delivery practices with engineering teams: backlog refinement, sprint planning, demos, and release readiness. Maintain transparent status and risks.
• Drive user research and feedback loops with agents, supervisors, and regional leaders to validate workflows, reduce friction, and increase adoption.
• Coordinate cross-functional stakeholders to ensure the product fits operational reality, training, and performance management processes.
• Identify, prioritize, and deliver AI use cases that strengthen the coaching loop while remaining safe, auditable, and cost-controlled.
• Define AI MVPs with clear evaluation metrics and guardrails, then expand through iterative rollouts based on measured impact.

Qualifications

• Bachelor's (desirable)
• Advanced English Level (C1)
• 3–5 years of experience in product management, application ownership, or business systems experience, preferably with insurance operations or call center workflows
• Product ownership for internal business applications (end-to-end lifecycle)
• Agile delivery (Scrum/Kanban) and modern product discovery practices
• Performance management systems and operating rhythms (agent, supervisor, regional leader)
• Call center operations and key drivers (productivity, quality, conversion, compliance, retention)
• Data fundamentals: metric definitions, data quality, instrumentation, data contracts, and reporting consistency
• Working understanding of data/analytics ecosystems (Snowflake, BI tools) and system integrations (CRM, telephony)
• AI feature delivery fundamentals

Requirements

• Product delivery tools for backlog/roadmap and documentation
• Analytics fluency: interpreting dashboards, defining KPIs, validating data, basic query literacy preferred
• Integration literacy: APIs/event flows at a conceptual level; ability to work with engineers on requirements and acceptance criteria
• Familiarity with Snowflake + BI stack

Benefits

• Private Health Insurance.
• Life Insurance.
• Saving Funds and Voluntary Savings Account.
• Profit Sharing (PTU).
• Vacation Days (above law).
• Christmas bonus.
• Vacation premium.