Senior Product Manager - Merchant Intelligence and Analytics

About Constructor

Constructor is the only platform that delivers reinforcement-learning-based product discovery that delivers the right product to the right person at the right time in the right context. Our customers need actionable data that proves ROI, informs merchandising strategy, and surfaces opportunities for improvement across the entire product discovery journey.

The business impact we deliver to our customers is real — Constructor has never lost an A/B test against competition. The opportunity ahead is to make it continuously visible beyond A/B tests, building an always-on explanation of how product discovery drives revenue. Our customer-facing dashboard already serves merchandisers well, and the next challenge is expanding the reach to every persona responsible for conversion: product managers, marketers, analysts, and executives.

About the Role

As the Product Manager for Merchant Intelligence & Analytics (MIA), you will lead a cross-functional team building intelligence products that prove the value Constructor brings to e-commerce businesses — making insights from the product discovery journey accessible and actionable for stakeholders from digital merchandisers to executives.

You will own the customer job of understanding business performance and ROI of product discovery driven by Constructor. This is a high-visibility, high-impact role that involves conducting deep customer research across multiple personas, finding the right channels to deliver insights, defining metrics for insight quality and adoption, leading your cross-functional team, and translating vast and complex data into compelling, shareable narratives.

What You Will Do

• Develop and execute a comprehensive product strategy and metrics for business intelligence and insights that position Constructor as an indispensable product discovery platform.
• Build clear and actionable reporting that communicates Constructor's impact on business metrics, designed to be consumed and shared across multiple personas through the right channels (customer app, email, exports, conversational AI).
• Own the cross-product revenue breakdown: surface how each step in the shopping journey drives e-commerce business as the shared mental model unifying merchandisers, PMs, marketers, analysts, and executives.
• Drive proactive, actionable insights at each step of the product discovery journey — explaining why things happen and what to do next.
• Lead and scale a cross-functional team of engineers and a designer, owning the full product cycle from discovery to prototyping, implementation, launching, and iterating.
• Conduct qualitative and quantitative customer research across multiple personas and industries.
• Collaborate closely with fellow product teams to ensure data quality and actionability in merchandising, explainability, reporting, and AI agent workflows.
• Communicate effectively at all levels, setting expectations and providing regular updates on strategy, roadmap, and progress against key initiatives.

Who We Are Looking For

• Data Storyteller: You can take complex e-commerce data and translate it into compelling, value-based, and actionable narratives tailored to different audiences.
• UX Advocate: You turn fragmented workflows into proactive, guided, and holistic experiences, understanding that data is not delivered until it provokes action.
• Customer Focused: You love doing qualitative and quantitative customer research to understand underlying business needs behind surface-level requests.
• Strategic & Action-Oriented: You think strategically and execute consistently, balancing short-term requests with long-term strategic bets.
• Collaborative Leader: You motivate cross-functional teams and feel comfortable collaborating with technical teams (data engineering, ML, backend) outside your area of expertise.
• Remote & Agile Experience: You have experience working remotely and in agile software development with empowered cross-functional teams.
• E-commerce & Analytics Background: Having a background in analytics and/or e-commerce products is a strong plus.