---
title: 'Engineering Manager: Personalization at Constructor'
canonical: 'https://feeny.ai/job/engineering-manager-personalization-constructor-emea-2fcyvb06k7ny'
type: 'job'
last_seen: '2026-09-11'
---

# Engineering Manager: Personalization at Constructor

- **Company:** Constructor
- **Location:** EMEA
- **Compensation:** $100k–$130k
- **Employment:** full-time
- **Work type:** remote
- **Posted:** 2026-06-11
- **Last confirmed live:** 2026-09-11
- **Apply:** https://jobs.ashbyhq.com/constructor/bd300021-07c5-426d-afe8-fd0e4f465b08/application

**Skills:** Python, Machine Learning, ML Frameworks, Distributed Systems, APIs, System Design, A/B Testing, Experimentation Methodologies

> Lead the Personalization team to build and scale machine learning systems for ecommerce search and discovery. Manage ML and Backend Engineers, drive A/B testing, and deliver measurable business impact through technical leadership and hands-on development.

## Job description

## 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](http://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.

## About Constructor

## Core Business
- **Primary industry**: AI-powered ecommerce search and product discovery (SaaS)
- **Target customers**: B2B, enterprise ecommerce brands, retailers, distributors, and marketplaces
- **Mission/purpose**: To automate the rich complexity required for a modern search experience behind a simple, elegant SaaS solution, helping shoppers find what they want to buy using natural language and AI.

## Products & Services
- **AI Shopping Agent**: Natural language conversational agent that helps shoppers discover products and answer questions.
- **Search & Browse**: Personalized search and category browsing with reinforcement learning.
- **Recommendations**: Product recommendations for onsite, email, SMS, and mobile notifications.
- **Retail Media**: Sponsored products and ads that don’t sacrifice customer experience.
- **Merchandiser Controls**: Tools for merchants to manage rankings, promotions, and experiments.
- **Insights & Automations**: Dashboards, reports, and automated attribute enrichment using GenAI.
- **Answer Engine Assistants (Beta)**: Integration with ChatGPT and other answer engines for offsite discovery.
- **Merchant Intelligence Agent (Beta)**: Research and fix ranking issues.
- **Product Insights Agent**: Generate personalized product questions to help shoppers buy with confidence.
- **Collections**: Dynamic, curated product pages.
- **In-Store**: Extend online intelligence to physical stores.

## Market Standing
- **Valuation/Market Cap**: Not disclosed (private)
- **Key Metric**: $40.0M annual revenue (LinkedIn estimate); $86.1M total funding across 4 rounds
- **Notable Investors/Partners**: Not named in provided sources, but clients include Sephora, Under Armour, Petco, and many others.
- **Growth Signals**:
  - 336 employees (LinkedIn) / 375+ team members (company site), +48% YoY headcount growth
  - 400+ billion requests powered per year
  - 98.5% average client retention rate over the last three years
  - Named a Leader in Forrester Wave (Commerce Search & Product Discovery, Q3 2025), Gartner Magic Quadrant (Search & Product Discovery, 2025), and IDC MarketScape
  - Top rated on G2 Crowd and Gartner Peer Reviews (4.9 and 4.8 respectively)
  - 94% team member retention rate

## Competitive Advantages
- **AI-native from day one**: Built on clickstream data and advanced AI, not bolted onto legacy keyword search.
- **Reinforcement learning across touchpoints**: Every interaction (search, browse, agent) makes the system smarter.
- **API-first, headless, composable, platform-agnostic**: Easy integration with any tech stack.
- **Ecommerce-specific optimization**: Sole focus on commerce metrics (revenue, conversion, profit), consistently delivering $10M+ revenue lifts for customers.
- **Only vendor named a Leader by three independent analyst firms (Forrester, Gartner, IDC)**.

## Strategic Focus
- **AI agents and reasoning**: Expanding AI Shopping Agents, Answer Engine Assistants, and Merchant Intelligence Agents.
- **Offsite discovery**: Enabling discovery via email, SMS, and answer engines like ChatGPT.
- **In-store integration**: Extending online intelligence to physical retail.
- **Continued investment in personalization and automation** to reduce setup time (8 weeks or less).

## Why Work Here
- **Culture**: Remote-first, 100% remote – choose where you live. Collaborative, empathetic, and problem-solving environment. Rated top 5% on RepVue and a Will Reed Top 100 award recipient.
- **Benefits**:
  - Company pays 99% of medical, dental, and vision premiums for US team members.
  - Unlimited PTO and vacation time (minimum 3 mandatory weeks off per year).
  - Paid parental leave.
  - Yearly Remote Work Stipend + one-time $500 New Hire Setup Stipend.
  - Yearly Learning & Development $500 Stipend.
  - Stock options for every team member.
  - Company-issued Apple laptop.
- **Growth**: Fast-growing startup with opportunities to work on challenging AI/ML problems used by millions of shoppers. Mentorship, autonomy, and career development.
- **Diversity & Inclusion**: Committed to DEI with an internal ERG.
- **Team**: 94% retention rate; described as collaborative, brilliant people who enjoy solving hard problems.

## Sources
1. [Constructor Careers Page](https://constructor.com/about/careers)
2. [Constructor Main Website](https://constructor.com/)
3. [Constructor LinkedIn](https://www.linkedin.com/company/constructor-io)
4. [Constructor About Page](https://constructor.com/about)
5. [CB Insights Company Profile](https://www.cbinsights.com/company/constructorio) (used for funding and revenue data, though not directly cited in text – revenue from LinkedIn)

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