Senior Product Manager - Retail & Distributor Data Readiness

• 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

• 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

• 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

• % 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

• 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

• Experience with GS1 / GDSN

• Retail onboarding or digital shelf experience

• Experience implementing automated syndication models

• Familiarity with AI-enabled content or validation workflows

• Not a Salsify configuration admin

• Not a feed operations specialist

• Not an integration engineer

• Not a generic data governance analyst

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What We Do

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 4000 associates the company’s products are sold at key retailers online and offline and through distributors around the world.

Why Work With Us

Whether your passion is engineering designing marketing or developing at SharkNinja you’ll find we’re all about people. We work together to create world-class products that delight our consumers. Building an admired consumer products problem solving engine is hard; we do it better than others by operating differently.

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