About usConstructor 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.<h3>Challenges you will tackle</h3><ul> <li>Develop analytical tools: Build tools and dashboards for our Account Executives to help them create better demos for prospective customers.</li> <li>Tune our AI models: Work closely with Account Executives to fine-tune our AI models, ensuring they are optimized to deliver the most relevant and impactful results for each prospects unique needs.</li> <li>Seal the deal: Collaborate with Frontend Engineers and Account Executives to secure deals with prominent e-commerce brands.</li> <li>Improve product: Take initiative and perform data exploration to understand user behaviour, suggest opportunities for improving our recommendation &amp; search systems.</li> <li>Champion team culture: Actively foster our team’s sense of community by expanding our roster of Friday team-building games and promoting a culture of empathy, personal growth, and support for others.</li> </ul><ul> <li>You are proficient in BI tooling (data analysis, building dashboards for engineers and non-technical folks).</li> <li>You are an excellent communicator with the ability to translate business asks into a technical language and vice versa.</li> <li>You are comfortable managing multiple tasks simultaneously, effectively prioritizing them, and working under deadlines.</li> <li>You are excited to leverage massive amounts of data to drive product innovation &amp; deliver business value.</li> <li>You are proficient at SQL (any variant) and well-versed in exploratory data analysis with Python (pandas &amp; NumPy, data visualization libraries). Nice to have: Practical familiarity with the big data stack (Spark, Presto/Athena, Hive).</li> <li>You are adept at fast prototyping and providing analytical support for initiatives in the e-commerce space by identifying &amp; focusing on relevant features &amp; metrics.</li> <li>You are willing to develop and maintain effective communication tools to report business performance and inform decision-making at a cross-functional level.</li> <li>A minimum of three years of professional experience or relevant academic experience.</li> <li>Excellent communication and interpersonal skills.</li> <li>English on <a href="https://www.coe.int/en/web/common-european-framework-reference-languages/table-1-cefr-3.3-common-reference-levels-global-scale" target="_blank">C1 level (CEFR)</a> or higher.</li> <li> Able to work between 7 am and 3 pm Pacific Time to support the needs of our US-based sales team.</li> </ul>