Product Quality Lead (AI)

TL;DR

Product Quality Lead (AI): Owning UAT, data validation, and release quality for a complex, multi-source Customer AI analytics platform with an accent on device signal integrity, mobile data pipelines, and end-to-end system reliability. Focus on designing scalable automation, leading defect triage, and ensuring all product releases are audit-ready and stable.

Location: Tel Aviv-Yafo

Company

hirify.global is a fast-growing Customer AI and data science platform recognized for innovation in behavioral analytics and privacy-first intelligence, serving large enterprise clients across telecommunications, retail, and finance.

What you will do

• Own UAT and release quality for the IntentOne platform, validating end-to-end performance across UI, APIs, and data pipelines.
• Build a deep understanding of system data models to design robust test coverage and validation methods for identity stitching and schema adherence.
• Lead defect intake and triage, coordinating across Engineering, Data, and Product teams to isolate and resolve incidents.
• Develop scalable QA strategies, including regression, integration, and data validation suites, with a focus on automation.
• Maintain versioned, audit-friendly QA documentation including test plans, test cases, and release documentation.
• Ensure mobile and device data quality, specifically focusing on SDK behavior, privacy constraints, and event reliability.

Requirements

• Proven experience in UAT, data validation, and software quality assurance within complex data environments.
• Technical fluency in systems thinking, data objects, telemetry, and edge-case behavior.
• Strong background in QA process design, including test planning, regression strategies, and defect management.
• Experience in managing quality for data-heavy systems, including mobile SDK signals and backend pipeline integrity.
• Ability to produce stakeholder-readable documentation for both technical and non-technical audiences.
• Excellent command of English for clear communication and documentation.

Culture & Benefits

• Collaborative and innovative environment focused on cutting-edge AI and data analytics technology.
• Opportunity to influence quality strategies in a growing business with a flat, visible structure.
• Family-friendly approach with flexible working practices.
• Strong emphasis on personal development and continuous learning.
• Inclusive and diverse workplace culture recognized by multiple industry awards.