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Popular engineering-manager title plus broad ML/personalisation skillset increases candidate competition.
Role requires consumer-data, personalization, and recommendation expertise, limiting cross-industry transferability.
Explicit 10+ years plus domain-specific personalization and ML experience and leadership requirements filter candidates strongly.
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Lead and develop a software engineering team focused on personalisation, recommendations, and consumer intelligence capabilities.
Own delivery planning, sprint execution, capacity and risk management aligned with team OKRs and business objectives.
Drive engineering excellence including quality standards, operational discipline, AI-assisted engineering adoption, and continuous improvement.
10+ years of software engineering experience with 3+ years in people leadership roles.
Experience leading agile engineering teams with roadmap execution, dependency management, and stakeholder engagement.
Experience working with consumer data, behavioural signals, event-driven architectures, and familiarity with personalisation or recommendation platforms.
Work Experience Required: Minimum 10 years in software engineering, 3+ years in people leadership roles.
Experienced in delivering consumer intelligence or AI-powered personalisation/recommendation products.
Skilled in modern engineering practices, agile delivery, and using metrics/data to improve team productivity and delivery predictability.
Proven ability in coaching, talent development, and building high-performing engineering teams in collaborative environments.