Senior Product Manager, Shopping Experience

Job description

**The Role:** As a digitally native company, Minted's Shopping Experience and commerce platform are core to the company's success. Minted's online shopping experience allows consumers to discover, customize, and purchase from an extensive assortment of products and categories, all designed by independent artists around the world. We are driven by creating a customer journey that serves both our artist community and the savvy e-commerce shopper. We are seeking a Senior Product Manager to own the strategy for how customers find and choose products on Minted. Over the next two years, we will be maturing our newly integrated product information management platform, which will give us structured, machine-readable data about our product catalog. That data supports a set of experiences that we cannot build today: search and browse that understand what a customer is looking for, product detail and category pages using information generated from product attributes, and filtered navigation that is fully crawlable by LLMs and shopping agents. Combined with parallel investments in analytics, customer data, and content management, it is the foundation for the next generation of our shopping experience and the deep personalization we seek to enable in the future. This role will guide us to alignment on what we build on that foundation, in what order, and why. The role spans our discovery surfaces (search, browse, category, and product detail) – covering everything from large, structural builds to conversion rate optimization activities, with dependencies running into product data, customization and rendering, checkout, marketing, and SEO/AEO. You will set the strategy and objectives for your team, lead initiatives that cross team and functional boundaries, and raise the standard of product craft for the PMs around you. ### You will: - Own and continuously maintain the prioritized list of customer problems across search, browse, category, and product detail. Keep it current using behavioral data, user research, customer support and concierge signals, session replay, and competitive scans. - Turn our new product data foundation into customer value on your surfaces: attribute-driven search and browse, dynamic product detail and category pages, and crawlable filtered navigation. - Develop the roadmap and initiative scope for your team against the objectives and key results you set with your manager, using data, customer insight, and technical capability to size, sequence, and shape the work. - Shape solutions with engineering and design. You hold the business problem and the value case, design holds the experience, engineering holds feasibility and cost. Your job is to find the right-sized solution where the three meet. - Maintain product briefs that set a new standard for foresight and rationale for Minted, stating the assumptions, the growth lever, the customer problem, the success criteria, and the instrumentation plan explicitly. - Specify the instrumentation plan for everything you ship, including the events that power key metrics and KPIs and the tracking behind on-site clicks and interactions. - Run a high-velocity test program across your surfaces. Design tests with the intent to launch and productionalize them if they win. Know how to measure the right things and have a point of view not only on what worked or didn’t work, but *why* and *what to do next*. - Connect every experience change to the metric it moves and the margin logic behind it. Understand how Minted makes money well enough to teach it to someone else. - Monitor e-commerce, retail, and discovery trends, competitive customer experiences, and the movement of product discovery into AI assistants. Integrate customer feedback, usability studies, research data, and competitive analysis into your requirements. - Partner with the teams you depend on across product data, customization and rendering, checkout, merchandising, category management, brand, and marketing. Negotiate the dependencies your initiatives create, and surface the ones that need portfolio-level resolution. - Run project kickoffs and read-outs, communicating agreed requirements, scope in and out, and timeline to every team and stakeholder involved. - Prioritize and revise the backlog through delivery, handle scope changes, prepare Customer Service and other affected teams ahead of launch, and complete user acceptance testing on primary paths. - Report results against your objectives and KPIs, share the insight with stakeholders, and decide how each result reshapes the roadmap. ### You are: - **Problem-first.** You start with a clearly framed problem statement, align others on its priority and its connection to customer and business outcomes, and hold the line on agreeing the top two or three problems before moving to solutions. - **A strategic, consumer-centric thinker.** You have a theory of the customer. You can explain why a metric moved and what is happening inside the experience, grounded in behavioral data, research, and direct observation. - **Data driven.** You own the metrics for your area, keep a continuous health check on them, and propose hypotheses to improve them. - **Realistic about win rates.** Not every feature or experiment is a winner on the first try. You build time to iterate inside a problem space and treat a single test as a data point. - **A systems thinker.** You understand how the tech stack, the data model, and the customer journey fit together, and you are technical enough to reason about feasibility and complexity with engineers. - **Able to create clarity out of ambiguity.** Given an unstructured pile of input from disparate sources, you produce a framework for the decision and a plan for execution. - **Effective without authority.** You lead your engineering and design partners and manage stakeholders through credibility, clear problem framing, and evidence. - **Decisive.** You break choices into explicit options so people know what is being decided, land the decision with an owner and a next step, and secure commitment from the people who disagreed. - **Detail-oriented.** You identify and resolve edge cases along with functional and aesthetic details to deliver a quality experience. - **Curious and gritty.** You get into the details of real customer behavior, pick apart their motivations and mindset, and stay on a problem until you understand it. - **Accountable for your own output, including the parts AI helped produce.** You use AI to think, elaborate, and stress-test your reasoning, but you own the judgment and the final artifact. - **Receptive to change.** You are flexible, adaptable, and resilient in response to competitive pressure and market shifts. ### You have: - Bachelor's degree - 5+ years of product management experience building and shipping successful consumer e-commerce or direct-to-consumer products and features - 2-3 years of experience in e-commerce, retail, marketplaces, or merchandising - Direct experience owning discovery surfaces: search, browse, navigation, category, or product detail pages - Experience running an experimentation program, including designing tests, reading results correctly, and diagnosing measurement and data quality problems - Superb analytical skills and fluency with the tools used to investigate customer behavior - Demonstrated understanding of technology and architecture, and effective partnership with engineering to identify technical solutions based on tradeoffs across user experience, technical debt, latency, scalability, reliability, and time to market - Working fluency with AI tools in your daily product practice - Project management skills: ability to plan, set expectations, make and meet commitments, and provide structure and process to cross-functional teams - Intense commitment to quality of the product and customer experience ### Bonus Points: - Experience with a product information management platform, structured product taxonomy, or attribute-driven merchandising - Experience with a hosted search and discovery platform - Technical SEO or answer engine optimization experience - Experience with personalization or recommendation systems