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 RoleWe are hiring Senior Product Analysts across multiple teams at Constructor. Wherever you land, you will help product teams understand how their work translates into user behavior and business outcomes, and use data to shape where our products should evolve next.
Our product analysts define the metrics that matter, build the connection between product performance and business results, and turn ambiguous questions into clear, actionable insights. During the interview process we will get to know your strengths and interests and match you with the team where you can have the biggest impact.
What You'll DoDefine and validate the metrics that product teams use to measure success
Build metric frameworks connecting product and algorithm performance to business outcomes like revenue and conversion
Analyze user behavior and product funnels to identify opportunities and guide product strategy
Design, run, and analyze A/B tests to evaluate product changes
Set up analytics for product areas, from instrumentation to dashboards and reporting
Partner closely with product managers, engineers, and leadership to turn insights into decisions
Strong track record of solving product and business problems using data
Solid knowledge of SQL and experience working with large datasets
Experience with Python for data analysis (pandas, NumPy, visualization libraries)
Deep understanding of A/B testing and statistical concepts
Experience defining metrics, building metric trees, and analyzing product funnels
Ability to connect product changes to business outcomes and communicate the "so what"
Familiarity with ML-driven or AI products is a plus
Communication & ownership:
Proven ability to work independently and own an analytics area end to end
Ability to communicate insights clearly and influence product strategy
Comfortable bringing structure to ambiguous questions in a fast-paced environment
Preferred skills:
Experience working in e-commerce
Experience being the first or primary analyst embedded in a product team
π§ Work with smart and empathetic people who will help you grow and make a meaningful impact.
π Regular team offsite events to connect and collaborate.
π Fully remote team - choose where you live.
ποΈ Unlimited vacation time - we strongly encourage all of our employees take at least 3 weeks per year.
ποΈ Work from home stipend! We want you to have the resources you need to set up your home office.
π» Apple laptops provided for new employees.
π§βπ Training and development budget for every employee, refreshed each year.
πͺ Maternity & Paternity leave for qualified employees.
π΅ Base salary: $80kβ$120K USD depending on knowledge, skills, experience, and interview results
π Stock options - offered in addition to the base salary
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.
Skills Required
- Strong track record of solving product and business problems using data
- Solid knowledge of SQL and experience working with large datasets
- Experience with Python for data analysis (pandas, NumPy, visualization libraries)
- Deep understanding of A/B testing and statistical concepts
- Experience defining metrics, building metric trees, and analyzing product funnels
- Ability to connect product changes to business outcomes and communicate the "so what"
- Proven ability to work independently and own an analytics area end to end
- Ability to communicate insights clearly and influence product strategy
- Comfortable bringing structure to ambiguous questions in a fast-paced environment
- Familiarity with ML-driven or AI products
- Experience working in e-commerce
- Experience being the first or primary analyst embedded in a product team
What We Do
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, and collaborative personalization to deliver powerful user experiences across all facets of product discovery—from search to browse, recommendations, collections, and autosuggest. 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, Backcountry, Bonobos, Serena & Lily, Target Australia, Birkenstock, and more. Constructor is a U.S. based company that was founded in 2015 by Eli Finkelshteyn and Dan McCormick.
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