Senior Product Manager – Retail & Distributor Data Readiness

SharkNinja•Needham, MA

5d•$128,200 - $165,900•Onsite

About The Position

SharkNinja is seeking 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. This role will standardize, govern, and scale how product data flows to retailers and distributors globally. The position involves defining the Retailer & Distributor Readiness Data Model in Salsify, aligning upstream data inputs with downstream needs, establishing global data standards, transitioning retailer setup from manual processes to automated channel syndication, and shaping 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, influencing broadly across the business but not directly configuring Salsify. The role exists to address current challenges such as manual retailer product setup, underutilization of Salsify’s automated channel syndication, rework between upstream and downstream teams, lack of clarity in required retailer data, and launch timelines impacted by data gaps. The Senior Product Manager will own the Retailer & Distributor Readiness Data Model, Upstream-Downstream Data Alignment, Retailer Channel Syndication Transformation, and AI-Driven Enhancements.

Requirements

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

Nice To Haves

Experience with GS1 / GDSN
Retail onboarding or digital shelf experience
Experience implementing automated syndication models
Familiarity with AI-enabled content or validation workflows

Responsibilities

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
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