Senior Product Manager, SharkNinja

• 5–8+ years in Data Product Management, PIM, Enterprise Data, or similar roles
• Experience defining data models for commercial or retail use cases
• Experience working with PIM systems (Salsify preferred)
• Experience translating business requirements into structured data models
• Experience driving cross-functional alignment without direct authority
• Strong documentation and stakeholder communication skills

Desirable

• Reports to Senior Manager, Enterprise Data Products
• We are building a formal Retailer & Distributor Readiness Data Product within Salsify to standardize, govern, and scale how product data flows to retailers and distributors globally
• We are hiring a Senior Product Manager – Retail & Distributor Data Readiness to define and own the global data model, standards, and processes required to ensure products are retailer-ready and distributor-ready at launch — without manual rework or downstream surprises
• Define the Retailer & Distributor Readiness Data Model in Salsify
• Align upstream data inputs (Product Development, Brand Marketing) with downstream retailer and distributor needs
• Establish global data standards (starting with NA + EMEA)
• Transition retailer setup from manual processes to automated channel syndication
• Shape how AI can accelerate validation and retailer-specific content creation
• This is a global, cross-functional role reporting to the Senior Manager of Enterprise Data Products
• This role influences broadly across the business but does not directly configure Salsify — execution is delivered in partnership with the Salsify Administrator
• Define the canonical Retailer & Distributor Readiness Data Model in Salsify
• Standardize required attributes by retailer and distributor type
• Establish global field definitions and naming standards
• Define readiness thresholds and completeness criteria
• Create global data standards starting with NA + EMEA
• Map retailer requirements to upstream data inputs
• Clarify attribute ownership across Product Development and Brand Marketing
• Reduce rework between upstream teams and downstream retailer teams
• Publish documentation and playbooks for retailer readiness
• Define the roadmap for automated retailer channel syndication
• Identify automation candidates across retailers
• Define data completeness gates that enable auto-syndication
• Partner with Salsify Admin to implement automated feeds
• Reduce manual retailer setup processes
• Measure automation adoption and manual effort reduction
• Define AI use cases for attribute validation and completeness scoring
• Shape AI-generated retailer-specific content variants
• Establish guardrails for AI-driven data and content workflows
• Partner with technical teams to pilot and scale AI capabilities
• This role is measured by data product outcomes:
• % of retailer attributes with defined global ownership
• Reduction in retailer-driven rework
• Increase in SKUs meeting readiness threshold pre-launch
• Increase in automated retailer syndication coverage
• Reduction in manual retailer setup hours
• Improvement in launch predictability
• Adoption of standardized retailer data definitions