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Revalize

Catalog Manager, Catalog Services

Reposted 12 Days Ago
Remote
Hiring Remotely in US
Mid level
Remote
Hiring Remotely in US
Mid level
Seeking a visionary Catalog Manager to drive catalog transformation through automation and integration, managing a global team and optimizing product experience.
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Company Description

Founded in 2021, Revalize empowers manufacturing businesses to better design, model, develop, and sell—powering greater outcomes across the entire manufacturing value chain. Revalize leads with an AI-forward mindset—using technology as a catalyst, not a compass. We’re shaping the future of manufacturing technology with industry-leading CPQ, PLM, and design solutions that transform data into opportunity and accelerate the journey from idea to cash.

Revalize serves more than 16,000 global customers and is a portfolio company of TA Associates and Hg.

 

Job Description

We are seeking a visionary Catalog Manager to lead the next generation of catalog management for 2026 and beyond. This role is not just about maintaining data accuracy. It’s about driving transformation through automation, integration, and intelligent workflows to deliver an exceptional product experience across all digital channels. The ideal candidate combines strong leadership skills with technical expertise in PIM systems (preferably Akeneo), APIs, Salesforce, and catalog/data management. Experience with emerging technologies such as AI for automation and data quality improvements is highly desirable. 

 

Responsibilities:
 

  • Lead Catalog Transformation: Define and execute a future-focused catalog strategy leveraging automation, AI, and scalable processes. 

  • API & Integration Leadership: Enable API-driven workflows for seamless, real-time data exchange across ERP, PIM, and other presentation layers. 

  • Team Leadership & Development: Coach and develop a global team, fostering continuous learning and technical excellence. 

  • PEQ Management: Drive accountability for Performance, Efficiencies, and Quality (PEQ) across all team members, ensuring alignment with organizational goals and operational excellence 

  • Workflow Automation: Implement intelligent automation to reduce manual effort and accelerate speed-to-market. 

  • Taxonomy & Metadata Strategy: Develop dynamic product taxonomies and attributes that support search, usability and scalability. 

  • Analytics & Insights: Develop & use advanced analytics to monitor performance, identify trends, and optimize catalog effectiveness. 

  • Cross-Functional Alignment: Partner with product, engineering, and customer success teams to align catalog initiatives with business objectives. 

  • AI & Innovation: Embed AI-driven solutions into catalog processes to enhance data quality, enable predictive taxonomy, and deliver world class product experiences across channels. 

 

Qualifications

 

  • 2+ years of experience leading high-performing teams. 

  • Strong analytical and problem-solving skills with ability to work independently and make data-driven decisions. 

  • Strong data analysis capabilities using Excel and BI tools (Power BI, SQL); ability to interpret complex datasets for actionable insights. 

  • Understanding of data modeling principles and modern data architecture for scalable catalog solutions. 

  • Understanding in data governance frameworks and best practices to ensure accuracy, compliance, and security. 

  • Proven ability to design and manage dynamic taxonomies and metadata structures that support usability and scalability. 

  • Experience with APIs and data integration concepts for real-time workflows. 

  • Hands-on experience with PIM systems (Akeneo preferred) and/or MDM platforms. 

  • Familiarity with Salesforce and advanced reporting tools. 

  • Demonstrated ability to apply AI and automation for data quality improvements, predictive taxonomy, and workflow optimization. 

  • Exceptional communication and collaboration skills to influence stakeholders and align catalog initiatives with business objectives. 

 

Additional Information

All your information will be kept confidential according to EEO guidelines. Qualified applicants will be asked to complete a 30-minute online assessment as a part of your application. 

Revalize designates standard working hours as 8:00 am to 5:00 pm Eastern Time (ET) for employees based in the United States and 08:00 to 17:00 Central European Time (CET) for employees operating within the EMEA region.

Revalize is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. Revalize participates in the E-Verify program in certain locations, as required by law.

The compensation offered to the successful candidate will be based on a variety of factors, including but not limited to, the candidate’s work experience, education and licenses, work-related training, key skills, the core duties of the role and its associated responsibilities, additional benefits offered, and the location where the work will be performed. All fulltime (30+ hours) employees are eligible for PTO, Sick and Parental Leave; Medical, Dental, and Vision Insurance; 401(k) Plan; Health Savings Account; Life Insurance; Employee Assistance Program.

This is a full-time, bonus eligible position.  Base Salary is one part of our competitive total compensation and benefits package and is determined using a range. The listed compensation range represents our good faith estimate for this position and represents the range for new hire salaries across all U.S locations. Please note that the salary information is a general guideline only.

Qualified applicants will be asked to complete a 30-minute online pre-employment assessment as part of their application.

Top Skills

Akeneo
APIs
Data Governance
Data Modeling
Pim Systems
Power BI
Salesforce
SQL

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