Product Manager

About the Role 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. This role will: 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 Why This Role Exists Today: Retailer templates exist, but no formalized readiness model Retailer product setup is largely manual Salsify’s automated channel syndication is underutilized Upstream and downstream teams experience rework Required retailer data lacks clarity Launch timelines are impacted by data gaps We need a dedicated owner of Retailer & Distributor Readiness as a structured, governed data product. What You Will Own Retailer & Distributor Readiness Data Model 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 Upstream–Downstream Data Alignment 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 Retailer Channel Syndication Transformation 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 AI-Driven Enhancements 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 Success Metrics % 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 Required Experience 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 Preferred Experience Experience with GS1 / GDSN Retail onboarding or digital shelf experience Experience implementing automated syndication models Familiarity with AI-enabled content or validation workflows What This Role Is Not Not a Salsify configuration admin Not a feed operations specialist Not an integration engineer Not a generic data governance analyst Salary and Other Compensation Pay Range: $128,200—$165,900 USD Benefits: medical insurance, dental insurance, vision insurance, flexible spending accounts, health savings accounts (HSA) with company contribution, 401(k) retirement plan with matching, employee stock purchase program, life insurance, AD&D, short-term disability insurance, long-term disability insurance, generous paid time off, company holidays, parental leave, identity theft protection, pet insurance, pre-paid legal insurance, back-up child and eldercare days, product discounts, referral bonus program, and more. Equal Opportunity Statement We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, disability, or any other class protected by legislation, and local law. SharkNinja will consider reasonable accommodations consistent with legislation, and local law. If you require a reasonable accommodation to participate in the job application or interview process, please contact SharkNinja People & Culture at View email address on click.appcast.io. #J-18808-Ljbffr