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Catalog Manager Jobs in Nevada (NOW HIRING)

As an example, we manage catalog data imported from hundreds of retailers, and we build product and knowledge graphs on top of the catalog data to support a wide range of applications including ...

New

Counter Sales Representative - Las Vegas

Las Vegas, NV · On-site

$16.75 - $21/hr

... and management. * Determines make, type, and quality of merchandise desired by being familiar with products sold in the department by use, vendor, location in warehouse, catalog and catalog number ...

Counter Sales Representative - Las Vegas

Las Vegas, NV · On-site

$16.75 - $21/hr

... and management. * Determines make, type, and quality of merchandise desired by being familiar with products sold in the department by use, vendor, location in warehouse, catalog and catalog number ...

Maintain technical library publications, including cataloging, organizing, updating, and ensuring controlled distribution in accordance with applicable guidelines. Manage associated database files by ...

Data Governance- Manager

Las Vegas, NV · On-site

$99K - $232K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager & Summary ... Data Catalog Professional - Collibra Certified Ranger/Steward/Professionals - SAP Certified ...

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager & Summary ... Catalog Professional - Collibra Certified Ranger/Steward/Expert - SAP Certified Application ...

Showing results 21-40

Catalog Manager information

See Nevada salary details

$24.9K

$60.6K

$118.1K

How much do catalog manager jobs pay per year?

As of Sep 4, 2026, the average yearly pay for catalog manager in Nevada is $60,615.00, according to ZipRecruiter salary data. Most workers in this role earn between $42,800.00 and $69,800.00 per year, depending on experience, location, and employer.

What does a catalog manager do?

A Catalog Manager is responsible for organizing, updating, and maintaining a company’s product catalog, whether it’s online or in print. They ensure that product information, images, and descriptions are accurate and up to date, often working closely with marketing, sales, and IT teams. Catalog Managers also analyze product performance data and may oversee the introduction of new products into the catalog to maximize sales opportunities. Their role is crucial for companies with large inventories and frequent product updates.

What are the key skills and qualifications needed to thrive as a catalog manager?

To thrive as a Catalog Manager, you need strong organizational skills, attention to detail, and experience with data management, commonly supported by a bachelor’s degree in business, marketing, or a related field. Familiarity with product information management (PIM) systems, e-commerce platforms, and spreadsheet tools like Excel is typically required. Excellent communication, problem-solving, and project management abilities help you collaborate across teams and ensure data accuracy. These skills are crucial for maintaining high-quality product catalogs, driving sales, and supporting seamless customer experiences.

How does a catalog manager typically collaborate with other departments to ensure accurate and up-to-date product information?

A Catalog Manager works closely with teams such as product development, marketing, sales, and IT to gather and verify product data for listings. Regular communication is essential to ensure that product descriptions, images, and specifications are accurate and reflect any recent updates or promotions. Catalog Managers often coordinate cross-departmental meetings and utilize project management tools to streamline the workflow, resolve discrepancies, and launch new products efficiently. This collaborative approach ensures that the catalog remains consistent and reliable for both internal teams and customers.

What is the difference between Catalog Manager vs Product Data Coordinator?

AspectCatalog ManagerProduct Data Coordinator
Primary RoleOversees the organization, accuracy, and presentation of product catalogsMaintains and updates product data entries and ensures data quality
Required SkillsData management, project coordination, industry knowledgeData entry, attention to detail, familiarity with product information systems
Work EnvironmentOffice-based, cross-department collaborationOffice or warehouse, data entry and administrative tasks
Common UsageUsed in retail, e-commerce, manufacturing industriesUsed in retail, supply chain, and logistics sectors

The Catalog Manager focuses on strategic organization and presentation of product information, often managing teams and systems. In contrast, the Product Data Coordinator handles day-to-day data entry and updates. Both roles require strong data management skills and are essential in industries that rely on accurate product information for sales and inventory management.

What job categories do people searching Catalog Manager jobs in Nevada look for?

The top searched job categories for Catalog Manager jobs in Nevada are:

What cities in Nevada are hiring for Catalog Manager jobs?

Cities in Nevada with the most Catalog Manager job openings:

Machine Learning Engineer (PhD Intern)

Instacart

Henderson, NV • On-site

Other

This job post has expired today. Applications are no longer accepted.


Key responsibilities

  • Work on building and improving models related to search relevance, ranking, and query understanding.

  • Contribute to the development of AI models for recommendations, content generation, and knowledge graph management.

  • Collaborate with engineering and product teams to apply machine learning techniques to solve large-scale problems in ecommerce.


Instacart rating

6.9

Company rating: 6.9 out of 10

Based on 33 frontline employees who took The Breakroom Quiz

35th of 64 rated delivery companies


Job description

We're transforming the grocery industry

At Instacart, we invite the world to share love through food because we believe everyone should have access to the food they love and more time to enjoy it together. Where others see a simple need for grocery delivery, we see exciting complexity and endless opportunity to serve the varied needs of our community. We work to deliver an essential service that customers rely on to get their groceries and household goods, while also offering safe and flexible earnings opportunities to Instacart Personal Shoppers.

Instacart has become a lifeline for millions of people, and we’re building the team to help push our shopping cart forward. If you’re ready to do the best work of your life, come join our table.

Instacart is a Flex First team

There’s no one-size fits all approach to how we do our best work. Our employees have the flexibility to choose where they do their best work—whether it’s from home, an office, or your favorite coffee shop—while staying connected and building community through regular in-person events.

Overview

Since 2012, Instacart has been focused on making grocery delivery convenient, affordable, and accessible to everyone. We bring fresh groceries and everyday essentials to customers across the US and Canada from nearly 55,000 stores across 5,500 markets. Our mission is to create a world where everyone has access to the food they love, and to achieve that goal, we innovate in a wide range of areas including e-commerce, advertising, and fulfillment.

We use machine learning and Internet-scale data to elevate customer experience, improve efficiency, and reduce cost. As an example, we manage catalog data imported from hundreds of retailers, and we build product and knowledge graphs on top of the catalog data to support a wide range of applications including search and ads.

We are looking for talented Ph.D. students to have an internship in our fast moving team. You will have the opportunity to work on a very large scope of problems in search, ads, personalization, recommendation, fulfillment, product and knowledge graph, pricing, etc.

About the Team:

This is a general posting for multiple intern roles open across our various ML teams. You can find a blurb on each team below:

Economics Team: The Economics team at Instacart works on a range of interesting and challenging problems, from aligning the incentives in our multi-sided marketplace to analyzing the role of prices and product placement in our customers' decision-making. Some of the core areas of focus for our team include pricing, online advertising, uplift and long term value modeling, and general causal inference.

Search & Discovery ML: The Search and Discovery ML team at Instacart works alongside world-class engineers, data scientists, and product managers to shape the future of search technology at Instacart. They collaborate on building models that enhance relevance of all shopping surfaces, ranking, and personalization, delivering highly relevant results to users across the Instacart ecosystem. As part of the Search and Discovery ML team, you'll work on one of the most critical aspects of the business, helping customers connect with the right products. We are passionate about solving large-scale search challenges and creating innovative solutions that elevate the customer experience. (Recent publications 1, 2, 3, 4, 5).

Content AI Team: The Content AI team at Instacart works alongside world-class engineers, data scientists, and product managers to advance generative AI, recommendations, and catalog intelligence in grocery ecommerce. We build cutting-edge AI models that power real-time recommendations, feed ranking, and automated content generation, ensuring high-quality and engaging customer experiences. Beyond recommendations, we leverage generative AI and LLMs to enhance and enrich Instacart’s catalog, driving AI-powered product understanding and content creation at scale. As part of Content AI, you'll work on high-impact AI solutions, applying LLMs, agentic systems, and computer vision to tackle complex challenges. We are passionate about pushing the boundaries of generative AI to shape the future of ecommerce. If you're excited about building state-of-the-art AI systems, we’d love to have you on board!

Past internship contributions include:

Tensor-based complementary recommendations, published at IEEE Big Data 2021 (Paper) Enhancing sequence-based recommendations for long-tail products (Blog)

About the Job

Based on your passion and background, you may choose to work in a few different areas:

  • Query understanding - Using cutting-edge NLP technologies to understand the intent of user queries.
  • Search relevance and ranking - Improving search relevance by incorporating signals from various sources.
  • Ads quality, pCTR, etc. - Improving ads revenue and ROAS.
  • Knowledge graphs - Working on graph data management and knowledge discovery, and creating a natural language interface for data access.
  • Fraud detection and prevention - Using cost sensitive learning to reduce loss.
  • Pricing - Estimating willingness-to-pay, and optimizing revenue and user experience.
  • Logistics - Optimization in a variety of situations, including supply/demand prediction, last mile delivery, in-store optimization, etc.

About You

Minimum Qualifications:

  • Ph.D. student in computer science, mathematics, statistics, economics, or related areas.
  • Strong programming (Python, C++) and algorithmic skills.
  • Good communication skills. Curious, willing to learn, self-motivated, hands-on.

Preferred Qualifications:

  • Ph.D. student at a top tier university in the United States
  • Prior internship/work experience in the machine learning space

Instacart provides highly market-competitive compensation and benefits in each location where our employees work. This role is remote and the base pay range for a successful candidate is dependent on their permanent work location. Please review our Flex First remote work policy here.

Offers may vary based on many factors, such as candidate experience and skills required for the role.


What Instacart employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


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About Instacart

Sourced by ZipRecruiter

Instacart, based in San Francisco, CA, US, operates within the retail industry, specifically grocery delivery and pick-up service. It is recognized as a pioneer in this field, delivering fresh groceries from local stores directly to customers' doors. The company, which launched its services in 2012, continues to pioneer change in the online grocery shopping sector through its commitment to cutting-edge technology, new business ideas, and dedicated service.

Industry

Technology, communication and media

Company size

10,000+ Employees

Headquarters location

San Francisco, CA, US

Year founded

2012