Engineering Manager: Personalization

Constructor
Germany, United Kingdom
Workplace: RemoteFull timeUSD 100,000 - 130,000 annuallyFunction: Program & Project Management (PMO)Experience: 4+ yearsSkills: ["Communication","Leadership","Mentoring","System design","Experimentation"]

Lead the Personalization Engineering group responsible for the ML foundations powering search and browse. Manage Machine Learning Engineers, Backend Engineers, and Data Analysts to build embeddings, segmentation systems, offline evaluation, and experimentation frameworks. Partner with product and engineering leaders to drive measurable retailer KPI improvements through continuous iteration and A/B testing. Serve as a hands-on player-coach across architecture, model design, technical reviews, and implementation decisions.

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FursaFursa
Constructor
Constructor
1 month ago

Engineering Manager: Personalization

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Source: Company careers pageValidated by: Fursa AI
Last checked: 8 hours agoStatus: Live

Job Summary

Lead the Personalization Engineering group responsible for the ML foundations powering search and browse. Manage Machine Learning Engineers, Backend Engineers, and Data Analysts to build embeddings, segmentation systems, offline evaluation, and experimentation frameworks. Partner with product and engineering leaders to drive measurable retailer KPI improvements through continuous iteration and A/B testing. Serve as a hands-on player-coach across architecture, model design, technical reviews, and implementation decisions.
Location: Germany, United Kingdom
Workplace: Remote
Employment Type: Full time
Job Function: Program & Project Management (PMO)
Seniority: Manager level

Key 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 personalization opportunities that increase customer revenue and conversion.
  • •Act as a player-coach contributing to architecture, model design, technical reviews, and key implementation decisions.
  • •Deliver personalization capabilities that scale and improve retailer KPIs through continuous iteration and experimentation.

Pay and Benefits

Salary: USD 100,000 - 130,000 annually
Perks:Remote WorkLearning BudgetPaid LeaveParental LeaveMaternity Leave

Key Requirements

  • •4+ years building and deploying machine learning systems in production.
  • •1+ year leading engineering teams with people management experience (hiring, mentoring, developing engineers).
  • •Strong ML fundamentals and hands-on experience with modern ML frameworks and the end-to-end ML lifecycle.
  • •Strong Python skills and experience with large-scale data systems, distributed systems, APIs, and system design.
  • •Experience designing, evaluating, and deploying models that drive measurable business outcomes, including experimentation/A-B testing and metric-driven product development.
Experience:4+ yearsMachine learningE-commerce
Skills:CommunicationLeadershipMentoringSystem designExperimentation
Languages:English
Tech Stack:PythonA/B testing

Company Brief

Constructor
Provides an AI-powered site search and product discovery platform for e-commerce and retailers, improving search relevance, recommendations, personalization, and merchandising to boost conversions and average order value.
Industry: Enterprise Software
Company Size: Medium (51 to 250 employees)
Growth: Growth Stage Startup
Headquarters: San Francisco, United States
WebsiteLinkedIn