ABOUT WORKSTAND:
Workstand provides commerce software, marketing services, and data solutions to help independent bicycle retailers and suppliers achieve profitable growth. Workstand isn’t your typical software company or your typical bike industry company. We are a privately owned small business serving an important niche, striving for mutual success and sustainability for every retailer and supplier in the cycling industry.
Workstand has been voted one of Outside Magazine's Best Places to Work for six years. We offer fully remote work with an engaging culture, compelling work, and strategic clarity. All clients are in the bicycle industry, so work days are fun and interesting. We support one another and achieve our goals as a team. Each person, at every level, has an impact.
Total Rewards and Perks include; fully remote work environment, flexible scheduling, comprehensive medical, dental, and vision packages for employees and eligible family members, 401(k) plan with employer match, paid volunteering, paid professional development, and discounts on products, bikes, and gear. We offer an accrued PTO program of 14 days in your first year as well as sick time and ten paid holidays. Employees are eligible for bonuses.
JOB PURPOSE:
The Catalog team is responsible for procuring and ingesting product data to build and maintain a comprehensive product catalog for our merchants’ Workstand website and in-store systems. The PIM Coordinator role is primarily responsible for standardizing and enriching raw product data for ingestion and refinement in our PIM. A key focus of this position is supporting the on-going modernization of our tools and workflows by leveraging AI; proposing new technical solutions; and suggesting data structure, product page, and process improvements to improve efficiency and impact of data. Other responsibilities include communicating with client-facing teams and executing ongoing catalog maintenance projects.
REPORTING STRUCTURE:
This position is a part of the Catalog Team and reports to the Catalog Manager and has no direct reports. This is a remote position.
JOB FUNCTIONS:
- Clean, import, and enrich product data into our PIM.
- Implement and oversee automatic processes to bulk consume data into our PIM.
- Maintain product data integrity and adhere to Workstand data governance standards.
- Leverage AI/ML and other tools to enhance efficiency and accuracy of data ingestion.
- Identify points of friction in team workflows, and/or propose technical solutions to continue on-going modernization of team processes.
- Execute PIM configuration tasks to support data model improvements.
- Collaborate with client-facing teams to resolve product listing discrepancies, fulfill one-off merchant requests, and communicate insight on ticket status and/or team process.
- Provide timely progress updates and communicate blockers with teammates in appropriate channels.
- Contribute to ongoing data hygiene projects.
- Proof product data enriched by colleagues and provide constructive feedback.
- Assist in the maintenance of team workflow documentation.
- Quickly move from one task to another in response to changing priorities.
This is not a comprehensive list of possible responsibilities, tasks and duties. There are a variety of other duties that will need to be completed on an as needed basis.
QUALIFICATIONS:
- Cycling (or other outdoor industry) and tech industry experience is preferred
- Experience with Microsoft Excel and Google Workplace suite required
- Experience with a PIM preferred
- Experience with a CRM preferred
- Experience with GenerativeAI preferred
- Exceptional written and oral communication skills
- Highly detail-oriented
- Flexible and able to respond quickly to changes
- Organized and proficient at managing competing priorities
- Understands, interprets, and implements feedback effectively
- Provides feedback effectively
- Experimental mindset and a willingness to “fail” encouraged
- Self-motivated with a positive attitude toward work
- Hard-working, creative, and eager to learn
Limited domestic travel may be a requirement. The preferred candidate will reside and work remotely in CO, MN, NV, or PA.
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