Product Data Management Specialist

Benefits

Parental leave

Not verified

Non-birth-parent leave

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Family-building benefits

• Fertility benefits: Not verified
• Adoption assistance: Not verified
• Surrogacy assistance: Not verified

Mental health support

Not verified

Relocation assistance

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Childcare support

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Learning budget

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Verification

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Salary

$125K-$135K From the posting source checked Jun 20, 2026

401(k) match

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Market context

U.S. role benchmark (BLS OEWS)

$116,543 U.S. median for this role

Projected growth (BLS Employment Projections)

+9.8% - Much faster than average

12% above the BLS role benchmark for software engineering aggregate.

Matched to SOC 15-1252 - Software Engineering aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Role

Role function

Engineering From the posting source checked Jun 20, 2026

Seniority

Mid From the posting source checked Jun 20, 2026

Schedule

Shift type

Not verified

Weekend work

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Application

Cover letter

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Assessment

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Deadline

Not stated

Where they hire

State eligibility is not yet verified.

About this role

Product Data Management Specialist United States of America - Irvine, California Job Summary The Product Data Management Specialist uses strategy and analytics to improve the digital shopping experience via improved product data. This role owns what data is available for each product to aid in the presentation, promotion, and discoverability across the site and app to maximize conversion, revenue, and customer engagement. This role partners closely with merchandising, marketing, content operations, product, and UX teams to ensure the right products are surfaced to the right customers at the right time. Key Responsibilities - Analyze and track attribute completeness and accuracy. - Improve onsite product discovery via enhanced metadata to drive conversion and revenue growth. - Setup recurring audits & compliance processes to monitor accuracy and completeness. - Assess and improve structured product content guidelines for data consistency. - Work with Product, Engineering and BI to syndicate the metadata availability and usage across various systems to maximize visibility and impact across all platforms (app, web, etc). - Utilize AI tools to enrich metadata to improve speed, accuracy and breadth. - Collaborate with Product and Content Operations to define requirements for product metadata as we onboard a new PIM and CMS tool, including enhanced images, videos, translations and key attributes by category. - Work closely with data science and BI to define, create and own the key metrics used to determine strategies and actions. - Work closely with regional teams to adjust the global metadata regional needs across the globe. - Coordinate

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