Search • E-commerce • Product Discovery • Personalization • SaaS
51 - 200
💰 $55M Series A on 2021-09
October 4
Search • E-commerce • Product Discovery • Personalization • SaaS
51 - 200
💰 $55M Series A on 2021-09
• Constructor is the only search and product discovery platform tailor-made for enterprise ecommerce where conversions matter. • Constructor's AI-first solutions make it easier for shoppers to discover products they want to buy and for ecommerce teams to deliver highly personalized experiences that drive impressive results. • The Personalization team plays a central role in implementing algorithms that optimize for business KPIs like revenue & conversions. • You will use world-class analytical, engineering and machine learning techniques on big data to shape and scale our personalization algorithms. • Build and deploy robust ML systems / algorithms for personalized product discovery experiences. • Collaborate with technical and non-technical business partners to develop / update personalization features across Constructor product suite. • Build fast, robust and scalable services including our User History and User Profile API. • Participate in architectural discussions and optimize the system architecture of the Personalization domain.
• Excellent skills delivering & communicating business value • Have Python experience • Have experience with server-side coding and API design • Have experience with relational databases, key-value database and distributed systems • Have experience with building services based on the ML models • Have worked at a high-traffic website with highly available and robust systems • Experience with a public cloud like AWS, Azure or GCP • Love designing and implementing new features • Enjoy helping others around you grow as developers and be successful • Can work independently • Can pick up new ideas and technologies quickly and loves learning and talking to others about them • Love to experiment and use data and customer feedback to drive decision-making • Good to have • Experience with system architecture and design • Experience shipping personalization & search (recommendation) systems to production • Experience with MLOps
• Compensation: base range of 90-110k USD + stock options + work from home bonus • 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 • Parental leave for qualified employees • Work with smart people who will help you grow and make a meaningful impact
Apply NowSeptember 26
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