Remote in US , Engineering Manager - Relevance

THE CHALLENGE

THE TEAM

THE ROLE

• Provide strategic technical and people leadership to a full-stack team focused on event discovery, recommendations, and frontend integration across web and mobile platforms.
• Develop and drive a technology roadmap emphasizing continuous improvement in event relevance via ML, personalization strategies, and emerging technologies like Large Language Models (LLMs) for event categorization, query understanding, and personalized content generation.
• Foster an agile, delivery-focused, and high-performance engineering culture.
• Collaborate closely with product, data science, design, and analytics teams to implement and measure impactful improvements in recommendation quality.
• Mentor engineers actively, fostering accountability, collaboration, professional growth, and excellence.
• Maintain clear, transparent communication with stakeholders about progress, challenges, and achievements.
• Champion software engineering best practices, including rigorous testing, deployment automation, scalability, maintainability, and technical excellence.

THE SKILLSET

• Experienced engineering manager (3+ years managing engineering teams) with a proven ability to build and guide highly effective teams in dynamic, high-growth environments.
• Technical leader experienced in overseeing ML-driven and personalization-focused feature development, ideally within consumer-facing web or mobile applications.
• Practical understanding of recommendation systems (e.g., Two-Tower architectures, ranking systems, contextual personalization) and proven experience with metrics-driven experimentation frameworks (A/B testing, analytics-driven decision-making, click-through rates, conversion rates, dwell time, and user retention).
• Familiarity with applying Large Language Models (LLMs) to enhance recommendation systems, improve content understanding, or facilitate personalization.
• Proven track record in systematically managing and modernizing legacy systems, improving architectures, and ensuring scalability.
• Exceptional interpersonal and communication skills, including effective stakeholder management, conflict resolution, empathetic leadership, and the ability to maintain team alignment through growth and change.
• Experienced in nurturing engineering talent, fostering a culture of curiosity, continuous learning, and high-quality delivery.
• Skilled in partnering closely with product and design teams to deliver compelling data-driven user experiences.

BONUS POINTS

• Experience with large-scale, consumer-facing event platforms, marketplaces, or recommendation-centric applications.
• Knowledge of modern cloud architectures, microservices, and data-intensive development environments (AWS, Kafka, Elasticsearch, Kubernetes, etc.).
• Direct experience improving team performance metrics such as velocity, reliability, and engineering satisfaction.