Engineering Manager: Personalization

About Us

Launched in 2019, Constructor is an AI-first ecommerce search and discovery platform that helps shoppers find the right products at the right time and enables leading global e-commerce brands to drive meaningful revenue and conversion gains.

About The Role

As Engineering Manager of the Personalization team, you will lead the group responsible for the machine learning foundation that powers personalization across Constructor’s products, with a particular focus on Search and Browse. The team develops the core intelligence layer that helps us understand shoppers, products, and their interactions, enabling more relevant experiences and measurable business impact for retailers.

This is a highly technical, hands-on leadership role. You will manage Machine Learning Engineers, Backend Engineers, and Data Analysts to develop user representations, embeddings, segmentation systems, offline evaluation frameworks, and experimentation methodologies that drive revenue growth through continuous iteration and A/B testing.

Success in this role is measured by your team’s ability to deliver meaningful retailer KPI improvements, scale our personalization capabilities, and advance the state of the art of ecommerce machine learning in production.

The Personalization team sits at the center of Constructor’s ML strategy, building capabilities that are leveraged across all products rather than owning a single customer-facing feature

You will:

• 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

Requirements

• 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
• 💵 This position has a base salary range between $100k and $130k USD. The offer varies on many factors including job related knowledge, skills, experience, and interview results.
• 🎉 Regular team offsites to connect and collaborate

Diversity, Equity, and Inclusion at Constructor

At Constructor.io we are committed to cultivating a work environment that is diverse, equitable, and inclusive. As an equal opportunity employer, we welcome individuals of all backgrounds and provide equal opportunities to all applicants regardless of their education, diversity of opinion, race, color, religion, gender, gender expression, sexual orientation, national origin, genetics, disability, age, veteran status or affiliation in any other protected group.

Studies have shown that women and people of color may be less likely to apply for jobs unless they meet every one of the qualifications listed. Our primary interest is in finding the best candidate for the job. We encourage you to apply even if you don’t meet all of our listed qualifications.