AgileEngine is an Inc. 5000 company that creates award-winning software for Fortune 500 brands and trailblazing startups across 17+ industries. We rank among the leaders in areas like application development and AI/ML, and our people-first culture has earned us multiple Best Place to Work awards.

WHY JOIN US
If you're looking for a place to grow, make an impact, and work with people who care, we'd love to meet you!

ABOUT THE ROLE

WHAT YOU WILL DO
- Validate that mandatory product data across core systems is complete and accurate;
- Upload product data into the PIM system and resolve data gaps with stakeholders;
- Support business teams with product data usage issues;
- Clarify and communicate data requirements to stakeholders to ensure accuracy aligned with product launch timelines;
- Create, track, and report on product data and launch status;
- Reconfigure and maintain syndication templates in inRiver.

MUST HAVES
- 3+ years of experience in data management principles and concepts;
- Understanding of data lifecycle;
- Ability to use multiple tools for data stewardship;
- Experience with inRiver or PIM tools (Salsify, Informatica, Akeneo);
- Experience with PIM syndication for retailers or marketplaces;
- Proficiency in Excel;
- Ability to work under pressure and meet deadlines;
- Strong communication skills with business and technical stakeholders;
- Fluent written and spoken English.

PERKS AND BENEFITS
- Professional growth: Mentorship, TechTalks, and personalized growth roadmaps.
- Competitive compensation: USD-based pay with education, fitness, and team activity budgets.
- Exciting projects: Modern solutions with Fortune 500 and top product companies.
- Flextime: Flexible schedule with remote and office options.

Meet Our Recruitment Process
Application → Coding Challenge → Video Interview → Technical Interview or Hiring Manager Interview
Each step helps us understand your skills and overall fit.
If it’s a match, you’ll receive an offer.

Competências necessárias

Data management principles and conceptsData lifecycle understandingProduct Information Management (PIM) systemsinRiver configuration and template maintenancePIM syndication for retailers and marketplacesProduct data upload into PIM systemsData validation and data quality assuranceData reporting and tracking (product launch status)Excel proficiencyCommunicating data requirements to business and technical stakeholdersStakeholder support for product data usage issuesTime management and meeting deadlinesUse of multiple data stewardship tools

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