About the role
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 Team The Experiments team at Constructor builds an experimentation platform: traffic allocation, exposure logging, metric computation, statistical analysis, and a UI for launching experiments and interpreting results. It’s used both internally and by customers running experiments on production traffic. We’re scaling customer experimentation usage and investing in making experiments faster, more reliable, and easier to interpret. Unlike boxed experimentation tools, our platform has to support a wide range of customer integrations, traffic patterns, and industry constraints — which makes the engineering problems unusually real-world and high-leverage. Team: 3 Software Engineers, 1 Data Analyst, an Engineering Manager, and a Product Manager.
The Role This is primarily a backend role (Python services + data-heavy systems). You’ll occasionally work in the Dash UI and contribute to Spark jobs, but those are not the main focus. We care about correctness, observability, and product usability more than complex infrastructure. Tech: Python, FastAPI, PostgreSQL, Plotly Dash, PySpark/Databricks, AWS, CloudWatch, Sentry (Spark work is ~5–10% — we don’t expect you to be a data engineer or own the data platform.) What you’ll do Build and maintain backend services for experiment assignment, logging, and report generation Improve scalability, performance, and reliability of experiment reporting pipelines Add product-facing features to the UI to help users launch experiments and interpret results Take technical ownership of projects: shape solutions, break down work, and drive execution with
the team Participate in a weekly on-call rotation (investigating occasional issues and answering internal questions) You’ll collaborate closely with Search/Recommendations engineers, ML/DS partners, and customer-facing teams when needed. This role does not require frequent direct customer calls.
Requirements Must-have Strong experience building and owning production backend services in Python Experience with monitoring, alerting, and debugging user-facing systems Strong SQL skills and confidence working with data-heavy systems (metrics, logging, analytics) Ability to ship maintainable software (tests, code review, incremental delivery) Mindset You take ownership: you can turn ambiguous problems into an executable technical plan You care about building systems people trust and rely on Nice-to-have Experience with experimentation systems, metrics platforms, or A/B testing workflows Experience with PySpark and/or Databricks We don’t expect you to already be an expert in experimentation methodology — but we do expect strong backend fundamentals and the ability to ramp up effectively in a data-heavy domain Location / Time Zones We’re a distributed team. Preferred time zones are UTC+1 to UTC+7, but we’re flexible
Benefits 🏝️ Unlimited vacation time - we strongly encourage all employees to 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 - refreshed each year for every employee 👪 Maternity & Paternity leave for qualified employees 🧠 Work with smart people who will help you grow and make a meaningful impact 💵 Base salary: $80k–$110k USD, depending on knowledge, skills, experience, and interview results 📈 Stock options - offered in addition to the base salary 🎉 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.
About Constructor
Constructor is the only AI product discovery platform designed explicitly for eCommerce retailers. Unlike other product search and discovery platforms, machine learning is in Constructor's DNA, bringing dynamic personalization to the customer experience.
Constructor's cloud-based solutions use Natural Language Processing, Machine Learning, Collaborative Personalization, and Generative AI to deliver powerful user experiences across all facets of product discovery—from search to browsing, recommendations, collections, merchant intelligence, quizzes, attribute enrichment, and AI shopping assistant.
We optimize revenue before relevance. This has allowed us to generate consistent $10M+ lifts for our customers, which include some of the biggest brands in retail, like Sephora, Petco, Bonobos, Serena & Lily, Target Australia, Birkenstock, The Very Group, and more.
Constructor is a U.S.-based company founded in 2015 by Eli Finkelshteyn and Dan McCormick.
Constructor was recently named Wave Strong Performer by Forrester in late 2023, a MACH certified ISV, and leader (for enterprise, mid-market, and Americas), best support, easiest to do business with, easiest to use, and momentum leader from G2's winter badge release.
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Job details
Salary
$80,000 - $110,000
Location
Remote
Funding
Total raised
$85M
Last stage
Series B
Investors
Founders
Dan McCormick
Co-Founder & Chief Information Security Officer
What happens next.
No applications, no recruiter spam. Just the intro.
Confirm the fit
A few questions to make sure this role is the right shape for you. Two minutes.
I pitch you to the company
I write the intro, send it to the founder, and handle the back-and-forth.
A meeting lands on your calendar
If they’re a yes, I book the chat. You show up — that’s the whole job-hunt.
