Engineering Manager: Personalization

Overview

Job Description

Responsibilities

• - Lead and grow a cross-functional team of Machine Learning Engineers, Backend Engineers, and Data Analysts
• - Guide research and experimentation efforts, balancing long-term innovation with near-term business impact
• - Partner with Product and Engineering leaders to identify opportunities for increasing customer revenue and conversion through personalization
• - Act as a player-coach: contribute to architecture, model design, technical reviews, and key implementation decisions

Required Skills

• - 4+ years of experience building and deploying machine learning systems in production
• - 1+ year of experience leading engineering teams (people management - experience hiring, mentoring, and developing engineers and understanding that is what you want to do)
• - Strong understanding of machine learning fundamentals, hands-on experience with modern ML frameworks and the end-to-end ML lifecycle
• - Strong Python skills and experience working with large-scale data systems, with strong software engineering fundamentals, including distributed systems, APIs, and system design
• - Experience designing, evaluating, and deploying models that drive measurable business outcomes
• - Experience with experimentation methodologies, A/B testing, and metric-driven product development
• - Excellent written and verbal communication skills in English

Benefits

• - Unlimited vacation time - we strongly encourage all of our employees take at least 3 weeks per year
• - Fully remote team - choose where you live
• - Work from home stipend! We want you to have the resources you need to set up your home office
• - Apple laptops provided for new employees
• - Training and development budget for every employee, refreshed each year
• - Maternity & Paternity leave for qualified employees
• - Work with smart people who will help you grow and make a meaningful impact
• - Regular team offsites to connect and collaborate