Product Designer: AI Agent Tools
You ll be designing the future of product discovery: the moment a shopper goes from intent to purchase, reimagined through AI.
You ll be designing the future of product discovery: the moment a shopper goes from intent to purchase, reimagined through AI.
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Warum dieser Job gelistet ist
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You ll be designing the future of product discovery: the moment a shopper goes from intent to purchase, reimagined through AI. - You ll define what agentic shopping looks like — Not just chatbots bolted onto search, but genuinely new interaction patterns where AI understands what a shopper wants and helps them get there. There s no established playbook here. The patterns you set will shape how the rest of the industry approaches it. - You ll shape how merchandisers control it — You will collaborate with Agent Orchestrators—professionals blending data analysis, design, and shopper psychology—to design the dashboard tools that allow them to configure, train, and optimize new shopping journeys without engineering support. - You ll prove it works in the real world — From running UI experiments on live retailer sites to validating new shopping experiences with actual shopper data, your designs ship and get measured.
What You ll Own - Research & validation — Conducting shopper research and running experiments alongside product and data teams to validate hypotheses with real input. - Interaction design for agentic experiences — Mapping novel user flows where AI/LLMs drive the shopping journey, for both shoppers and the merchandisers who orchestrate them. - Visual strategy — Defining a bold design direction that represents what product discovery looks like in 2027. - High-fidelity delivery — Producing final mockups and assets across key surfaces: homepage, search, PDP, filtering, guided shopping, and agent configuration. - UX patterns — Ensuring designs scale within Constructor s evolving design system and component library. What We Value Beyond Craft Beyond being a thoughtful designer, user advocate, and strong collaborator, here are a few things we really value: - A goal-oriented, iterative mindset — You focus on solving high-impact problems and are comfortable learning, improving, and shipping quickly. - Practical experience with research — You’ve led user interviews, usability tests, and data analysis. - Experience designing for unfamiliar problems — You’ve worked on products where you had to understand complex workflows outside your own experience—especially in B2B contexts. - Systems thinking — You spot patterns, define systems, and design scalable, reusable solutions.
Work with smart and empathetic people who will help you grow and make a meaningful impact. - Regular team offsite events to connect and collaborate. - Fully remote team - choose where you live. - ️ Unlimited vacation time - we strongly encourage all of our employees take at least 3 weeks per year. - ️ 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. - Stock options - offered in addition to the base salary 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.
How we handle your data. By submitting this application, you acknowledge that Constructor will collect and process the personal data you provide for the purpose of evaluating your candidacy for this role. If you are not selected, we will retain your data for a limited period as described in our Recruitment Privacy Notice.
After that period your data will be deleted or anonymized.
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 You You re a product designer who owns problems, not screens.
You re comfortable with ambiguity, can partner with PMs to shape direction, and know how to translate research insights into production-ready interfaces, working closely with engineers. You ship work that matters. The Team Our AI Agent Tools team is building a new category of e-commerce experience: intelligent agents that guide shoppers, learn from merchandiser expertise, and drive real business outcomes.
This is one of the most consequential design problems in retail right now, and it s wide open.
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