Senior Product Manager – Retail & Distributor Data Readiness
Sharkninjaoperatingllc · United States · Posted Jul 6, 2026
Apply on company site Track it in JobSkout
About Us
SharkNinja is a global product design and technology company, with a diversified portfolio of 5-star rated lifestyle solutions that positively impact people’s lives in homes around the world. Powered by two trusted, global brands, Shark and Ninja , the company has a proven track record of bringing disruptive innovation to market and developing one consumer product after another has allowed SharkNinja to enter multiple product categories, driving significant growth and market share gains. Headquartered in Needham, Massachusetts with more than 4,100 associates, the company’s products are sold at key retailers, online and offline, and through distributors around the world.
AI at SharkNinja
At SharkNinja, we’re building an AI-native culture. We’re not waiting for the future; we’re creating it. Our people are expected to experiment boldly, adopt new tools, and continuously raise what’s possible to create meaningful impact for our consumers. If you believe the best way to do your job hasn’t been invented yet, you’ll fit right in.
Senior Product Manager – Retail Distributor Data Readiness
Global | NA + EMEA Initial Scope | Reports to Senior Manager, Enterprise Data Products
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
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.
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
1️ ⃣ 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
2️ ⃣ 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
3️ ⃣ 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
4️ ⃣ 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
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
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…