Senior Product Manager- Remote

About Cimpress Cimpress is the world leader in mass customization. Through our technology, production, and supply chain capabilities, Cimpress businesses make it possible for customers around the world to personalize physical products and have them manufactured on demand, with high quality, speed, reliability, and affordability. Our Mass Customization Platform, or MCP, is a modular, multi-tenant platform used by Cimpress businesses including Vistaprint, Pixartprinting, Tradeprint, Drukwerkdeal, National Pen, and others.

MCP enables our businesses to create, configure, sell, manufacture, and fulfill a vast range of customizable products across global markets. About the Product Catalog Domain The Product Catalog Domain owns the central product information and product modeling capabilities used across Cimpress businesses. Our core product, the MCP PIM, is much more than a traditional Product Information Management system.

It supports the data and workflows needed to define, enrich, sell, fulfill, and operate customizable products across merchants, suppliers, marketplaces, and downstream systems The PIM touches many parts of the mass customization value chain, including product attributes, product models, pricing, merchandising, supplier integrations, inventory feeds, fulfillment configuration, production constraints, and product launch workflows Within the Product Catalog Domain, the Supplier PIM focuses on the supplier side of the product catalog: the product data and operational capabilities required to connect Cimpress businesses with internal and external production partners .About the Role We are looking for a highly technical Senior Product Manager to own Supplier Product Data within the Supplier PIM. This role is ideal for someone who enjoys complex platform product management, data modeling, supplier integrations, operational workflows, and AI-enabled product transformation. You will work on the systems and capabilities that allow Cimpress businesses to understand what suppliers can produce, how those products can be configured, how they can be manufactured, what constraints apply, and how supplier data should be made available to merchants, websites, pricing systems, order flows, and fulfillment integrations.

You will partner closely with engineering leads, product leads, squad leads, UX, product operations, supplier-facing teams, Cimpress businesses, and technology leadership. You will be expected to create product strategy, shape roadmaps, drive execution, and help the domain use emeaningfully to improve the speed, quality, and scalability of supplier product data management. This is not a role for someone who simply collects requirements and writes tickets.

We are looking for a product leader who can deeply understand a complex domain, create clarity from ambiguity, challenge assumptions, work effectively with highly technical teams, and build platform capabilities that scale across many businesses and suppliers. What You Will Do Own the product strategy for Supplier Product Data Define and communicate the vision, strategy, roadmap, and success metrics for Supplier Product Data within the Supplier PIM. Identify the highest-value opportunities to improve supplier product data quality, onboarding speed, platform scalability, and downstream usability.

Balance short-term delivery needs with the long-term evolution of the supplier product model. Translate complex supplier, merchant, operational, and technical needs into coherent product capabilities. Improve how Cimpress models supplier capabilities Help define how supplier product data should be represented across products, attributes, capabilities, constraints, lead times, packaging, delivery options, and fulfillment rules.

Partner with engineering teams to determine what should be standardized, what should be configurable, and what should remain supplier- or business-specific. Support the evolution of reusable product-data abstractions that reduce one-off engineering work and make supplier onboarding easier. Help prevent the PIM from becoming either too rigid for real supplier complexity or too flexible to govern effectively.

Drive AI-enabled transformation Identify practical AI use cases for supplier product data, such as data mapping, data quality detection, supplier onboarding assistance, attribute recommendations, anomaly detection, documentation, support workflows, and operational decision support. Use AI personally and professionally to improve product discovery, analysis, communication, and execution. Design AI-assisted workflows with appropriate human review, confidence thresholds, auditability, evaluation methods, and risk controls.

Separate high-value AI opportunities from superficial “AI for AI’s sake” ideas. Lead complex cross-functional execution Work with engineering leads, squad leads, UX, product operations, and other product managers to turn strategy into executable roadmaps. Manage dependencies across teams, domains, businesses, and supplier-facing workflows.

Make clear prioritization decisions in an environment with many stakeholders and competing needs. Communicate tradeoffs, risks, decisions, and progress clearly to both technical and non-technical audiences. Create measurable business and platform impact Define metrics that show whether Supplier Product Data capabilities are improving onboarding speed, data quality, supplier integration reliability, operational productivity, product launch velocity, and downstream adoption.

Use qualitative and quantitative data to guide product decisions. Build feedback loops with users, internal teams, suppliers, and Cimpress businesses. Continuously inspect whether product investments are creating reusable platform value rather than isolated local solutions.

What Success Looks Like In your first 6 months, you will: Build a deep understanding of the Supplier PIM, Product Catalog Domain, MCP ecosystem, supplier workflows, and key stakeholder needs. Map the current state of Supplier Product Data, including major pain points, data quality issues, operational bottlenecks, and platform limitations. Identify the most important users, systems, and downstream consumers of supplier product data.

Establish a clear set of product priorities and success metrics. In your first 12 months, you will: Own and communicate a practical roadmap for improving Supplier Product Data capabilities. Drive delivery of high-value improvements with engineering, UX, and operations partners.

Identify specific opportunities where AI can improve supplier product data workflows. Create stronger alignment across product, engineering, operations, and business stakeholders. Help Cimpress businesses and suppliers manage supplier product data faster, more accurately, and more scalably.

Reduce avoidable one-off engineering work by advancing reusable product-data capabilities. Improve the quality, reliability, and usability of supplier product data across downstream systems. Establish AI-enabled workflows that produce measurable productivity or quality improvements.

Become a trusted product leader for supplier product data strategy within the Product Catalog Domain. Your qualifications Significant product management experience (minimum 5 years), ideally with complex B2B, platform, internal tooling, data, supply chain, commerce, or SaaS products. Strong technical fluency, including the ability to reason about data models, APIs, integrations, workflows, system constraints, and platform tradeoffs.

Experience working closely with engineering teams on technically complex products. Strong product discovery, prioritization, roadmap, and execution skills. Strong analytical skills and comfort using data to make product decisions.

Excellent stakeholder management skills, especially in matrixed or multi-business environments. Ability to communicate complex technical and product concepts clearly to different audiences. Demonstrated ability to create clarity from ambiguity.

Practical fluency with AI tools and a strong point of view on how AI can improve product management, data workflows, and operational productivity. Strongly preferred qualifications Experience with product information management, product catalogs, supplier data, commerce platforms, marketplaces, manufacturing systems, supply chain platforms, or configurable products. Experience with complex product models, attributes, variants, constraints, rules, taxonomies, or data governance.

Experience building internal platform products used by multiple business units or customer groups. Experience with supplier integrations, order routing, fulfillment, pricing, inventory, or operational systems. Experience applying AI to data quality, data transformation, workflow automation, knowledge management, or operational tooling.

Experience working in a global, distributed, remote-first technology organization. Why Join Us This role offers the opportunity to work on one of the most important product-data platforms in the mass customization industry. You will help shape how Cimpress businesses and suppliers define, manage, and operationalize the product data required to create personalized physical products at global scale.

You will work with talented product, engineering, UX, and operations teams across a global organization. You will have the autonomy to solve meaningful problems, the complexity to keep learning, and the opportunity to help define how AI can transform product catalog and supplier data management. Equal Opportunity Cimpress is an Equal Opportunity Employer.

All qualified candidates will receive consideration without regard to race, color, sex, national or ethnic origin, nationality, age, religion, citizenship, disability, medical condition, sexual orientation, gender identity, gender presentation, legal or preferred name, marital status, pregnancy, family structure, veteran status, or any other basis protected by applicable law.