Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Product Manager - Data Science Integrations

Constructor
London
3 weeks ago
Applications closed

Related Jobs

View all jobs

Product Manager - Data Science Integrations

Principal Product Manager, Data Science & Machine Learning

Senior Product Manager - Machine Learning and AI

Engineering Manager, Machine Learning Platform

Data Science Manager, Financial Crime

Machine Learning Manager

About You

You are a data-savvy product manager who thrives at the intersection of product thinking and operational excellence. You can translate complex, technical concepts into simple, customer-facing tools, while building internal products that drive measurable results. You collaborate effectively with data science, engineering, and customer-facing teams, and you’re motivated by seeing customers not just onboard successfully, but continue to gain ongoing, demonstrable value.

About Us

Constructor is the next-generation platform for search and discovery in ecommerce, built to explicitly optimize for metrics like revenue, conversion rate, and profit. Our search engine is entirely invented in-house utilizing transformers and generative LLMs, and we use its core and personalization capabilities to power everything from search itself to recommendations to shopping agents. Engineering is by far our largest department, and we’ve built our proprietary engine to be the best on the market, having never lost an A/B test to a competitive technology. We’re passionate about maintaining this and work on the bleeding edge of AI to do so.

Out of necessity, our engine is built for extreme scale and powers over 1 billion queries every day across 150 languages and roughly 100 countries. It is used by some of the biggest ecommerce companies in the world like Sephora, Under Armour, and Petco.

We’re a passionate team who love solving problems and want to make our customers’ and coworkers’ lives better. We value empathy, openness, curiosity, continuous improvement, and are excited by metrics that matter. We believe that empowering everyone in a company to do what they do best can lead to great things.

Constructor is a U.S. based company that has been in the market since 2019. It was founded by Eli Finkelshteyn and Dan McCormick who still lead the company today.

About the Position

This role leads product management for our Data Science Integrations (DSI) Retention team, which focuses on delivering measurable value to customers after they go live, in line with the evergreen DSI goals of supporting onboarding customers, going live with Constructor. You will design and improve products that power our Continuous Optimization Programs, Revenue Optimization Plans, and analytics shared during QBRs and other business service touchpoints. Your work will help identify opportunities for improvement for live customers, streamline processes, and ensure they consistently experience measurable lifts. A near-term priority will be achieving customer certification of these lifts through clear, data-driven storytelling and written confirmation. The role requires close coordination with ML teams, experimentation teams, and customer-facing teams to bring optimization ideas from concept to validated results. It also requires the ability to prepare thoroughly for high-stakes customer conversations — anticipating concerns, addressing data questions with confidence, and navigating challenging situations in a way that strengthens trust and reinforces the value we deliver.

Requirements

  • Proven experience as a Product Manager in a data-driven environment.
  • Strong understanding of how to design and deliver products that work with data at scale.
  • Experience working with operational teams and establishing effective, repeatable processes.
  • Ability to translate complex data science and ML outputs into simple, customer-friendly narratives and tools.
  • Track record of building alerting mechanisms, analytics products, or optimization tools focused on key metrics.
  • Skilled in cross-functional coordination with Data Science, Engineering, Experimentation, and Customer Success teams.
  • Excellent communication skills in English, both written and verbal.
  • Comfortable working with large enterprise customers in a fast-paced environment.
  • Time zone overlap with EMEA and US working hours.

Benefits

🏝️ Unlimited vacation time - we strongly encourage all of our employees take at least 3 weeks per year

💰 A competitive compensation package including stock options

🌎 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

🏥 Company sponsored US health coverage (100% paid for employee)

This position is fully remote - Constructor.io is a remote-first company.

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.

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

The Best Free Tools & Platforms to Practise Machine Learning Skills in 2025/26

Machine learning (ML) has become one of the most in-demand career paths in technology. From predicting customer behaviour in retail to detecting fraud in banking and enabling medical breakthroughs in healthcare, ML is transforming industries across the UK and beyond. But here’s the truth: employers don’t just want candidates who have read about machine learning in textbooks. They want evidence that you can actually build, train, and deploy models. That means practising with real tools, working with real datasets, and solving real problems. The good news is that you don’t need to pay for expensive software or courses to get started. A wide range of free, open-source tools and platforms allow you to learn machine learning skills hands-on. Whether you’re a beginner or preparing for advanced roles, you can practise everything from simple linear regression to deploying deep learning models — at no cost. In this guide, we’ll explore the best free tools and platforms to practise machine learning skills in 2025, and how to use them effectively to build a portfolio that UK employers will notice.

Top 10 Skills in Machine Learning According to LinkedIn & Indeed Job Postings

Machine learning (ML) is at the forefront of innovation, powering systems in finance, healthcare, retail, logistics, and beyond in the UK. As organisations leverage ML for predictive analytics, automation, and intelligent systems, demand for skilled practitioners continues to grow. So, which skills are most in demand? Drawing on insights from LinkedIn and Indeed, this article outlines the Top 10 machine learning skills UK employers are looking for in 2025. You'll learn how to demonstrate these capabilities through your CV, interviews, and real-world projects.

The Future of Machine Learning Jobs: Careers That Don’t Exist Yet

Machine learning (ML) has become one of the most powerful forces reshaping the modern world. From voice assistants and recommendation engines to fraud detection and medical imaging, it underpins countless applications. ML is no longer confined to research labs—it powers business models, public services, and consumer technologies across the globe. In the UK, demand for machine learning professionals has risen dramatically. Organisations in finance, retail, healthcare, and defence are embedding ML into their operations. Start-ups in Cambridge, London, and Edinburgh are pioneering innovations, while government-backed initiatives aim to position the UK as a global AI leader. Salaries for ML engineers and researchers are among the highest in the tech sector. Yet despite its current importance, machine learning is only at the beginning of its journey. Advances in generative AI, quantum computing, robotics, and ethical governance will reshape the profession. Many of the most vital machine learning jobs of the next two decades don’t exist today. This article explores why new careers will emerge, the roles likely to appear, how today’s roles will evolve, why the UK is well positioned, and how professionals can prepare now.