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Max Jobs in Florida (NOW HIRING)

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$17.2K

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$56.4K

How much do max jobs pay per year?

As of Sep 1, 2026, the average yearly pay for max in Florida is $40,062.00, according to ZipRecruiter salary data. Most workers in this role earn between $33,600.00 and $45,600.00 per year, depending on experience, location, and employer.

What is a Max?

'Max' is not a standard job title in the workforce. It may refer to a person's name, a brand, or be part of a longer job title or company name. If you are looking for information about a specific role or job function related to 'Max,' please clarify or provide additional context. In some cases, 'Max' could be shorthand for roles at companies like HBO Max or positions related to maximizing certain business outcomes. Please check job listings or company websites for more details.

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

I'm sorry, but 'Max' is not a recognized real-world professional occupation, so I cannot provide a job-relevant answer.

What are some common challenges someone might face when starting as a Maximo Administrator, and how can they be addressed?

New Maximo Administrators often encounter challenges such as understanding the complexity of Maximo’s configuration options, integrating with existing IT infrastructure, and managing user expectations. To address these, it’s helpful to participate in official IBM Maximo training, collaborate closely with experienced team members, and utilize available user forums and documentation. Proactively communicating with stakeholders and setting up regular check-ins can also help ensure smooth implementation and ongoing support.

What is the difference between Max vs Data Analyst?

AspectMaxData Analyst
Required CredentialsHigh school diploma or equivalent, specialized training or certification in Max softwareBachelor's degree in statistics, mathematics, or related field; often includes certifications in data analysis tools
Work EnvironmentPrimarily in manufacturing, construction, or engineering settings using Max software for modelingOffice-based, working with data sets, reports, and visualization tools
Employer & Industry UsageUsed by engineers, architects, and construction firms for modeling and designUsed across industries like finance, marketing, and healthcare for data interpretation

Max is a specialized software tool used mainly in engineering and construction environments, focusing on modeling and design. Data Analysts, on the other hand, work across various industries analyzing data to inform business decisions. While both roles involve technical skills, Max users typically require software-specific training, whereas Data Analysts need strong analytical and statistical skills. Understanding these differences helps clarify career paths and job expectations.

What are popular job titles related to Max jobs in Florida?

For Max jobs in Florida, the most frequently searched job titles are:

What job categories do people searching Max jobs in Florida look for?

The top searched job categories for Max jobs in Florida are:

Infographic showing various Max job openings in Florida as of August 2026, with employment types broken down into 2% As Needed, 79% Full Time, 16% Part Time, and 3% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $40,062 per year, or $19.3 per hour.

Entry Level Technical Seller Support

Max Retail

West Palm Beach, FL • On-site

Full-time

Posted 13 days ago


Job description

****THIS IS AN IN-OFFICE POSITION IN WEST PALM BEACH, FL****
Max Retail is a technology platform enabling independent retailers and brands to sell their excess inventory online effortlessly. Our mission is to become the largest supply chain that holds no inventory, providing a seamless connection between supply and global demand. We empower our partners with the tools they need to thrive in an increasingly competitive market.
What You'll Do
This is a hands-on, technical support role and a strong entry point into retail tech. You'll help sellers get their inventory listed, synced, and sold, and you'll spend a meaningful part of your week in spreadsheets: comparing seller data against our database, spotting discrepancies, and preparing the data files that fix them. You do need to be the kind of person who, when a number looks wrong, you want to know why.
Key Responsibilities
Seller Support and Troubleshooting
  • Help sellers use the platform day to day: listing products, approving orders, resolving account questions
  • Own a queue of seller tickets in HubSpot, working through common issues independently once trained
  • Work through listing problems such as missing data, template errors, duplicates, and sync delays, with support from senior teammates on the harder cases
  • Learn the basics of our POS and eComm integrations (Shopify, Square, Lightspeed, RICS, etc.) and how connection errors, sync delays, and SKU conflicts show up
  • Recognize when an issue is beyond your current scope and hand it to a senior teammate with clear notes on what you've already checked
Data Work in Spreadsheets
  • Compare inventory and pricing data across systems to isolate where a discrepancy started
  • Use formulas such as XLOOKUP, COUNTIFS, and SUMIFS to narrow down problems.
  • Help build structured CSV files for bulk corrections
  • This is a daily, core part of the job, not a nice-to-have
Learning the Platform
  • Build strong working knowledge of seller tools, features, policies, and how our systems fit together
  • Stay current on platform updates, new seller features, and known issues
  • Draft and update help documentation for the scenarios you resolve most often, for both sellers and internal teams
  • Flag recurring seller pain points to your manager so they reach the product team
Proactive Seller Outreach
  • Reach out to sellers hitting listing errors or order processing problems before they contact us
  • Walk sellers through new platform features and integration setup
  • Notice patterns in seller mistakes and share preventive guidance
Quality and Metrics
  • Meet response time and resolution time targets
  • Accurately categorize and track support tickets
  • Keep your documentation current
Your First 90 Days
Days 1-30: Learn the platform, our internal admin tools, and the database. Shadow senior support on live cases. Start handling straightforward seller questions with review.
Days 31-60: Own a ticket queue independently for common issues. Begin diagnosing data problems in spreadsheets with guidance. Publish your first help doc.
Days 61-90: Resolve most routine listing, sync, and pricing issues on your own. Write clean handoffs when escalating. Start supporting sellers through integration setup.
By month 4: Independently diagnose and resolve most seller data issues using spreadsheets and internal tools. Contribute at least one process or documentation improvement based on what you've seen in the queue. Train sellers on the platform at scale.
Tools you'll use
  • Google Sheets & Excel
  • HubSpot (tickets/inbox), Aircall (voice), Google Suite (meetings, case tracking, exports, SOPs).
  • Backend database (users, contacts, retailer accounts, inventory listings, etc.)
  • Internal admin tools (MR Admin) and basic log/screenshots capture.
Nice to Have (Not Required)
  • Experience with HubSpot or a similar CRM or ticketing system
  • Familiarity with Shopify, Square, or Lightspeed
  • Exposure to SQL, BI tools, or reading basic error logs
  • Retail or boutique experience of any kind, including working in a store
Who You Are
  • Naturally curious about data. When something looks off, your instinct is to compare sources and follow the trail rather than accept it
  • Comfortable in Google Sheets or Excel. You can write basic formulas, filter and sort, and work across multiple tabs. You're ready to get much better at this
  • 0-2 years of experience. Customer support, retail, e-commerce, or operations experience is a plus. Recent grads and career changers are welcome
  • Clear written and verbal communication. You can explain a technical problem to a boutique owner without jargon, and to an engineer without hand-waving
  • High ownership. You follow up, close loops, and write things down
  • Calm under pressure. Sellers reach out when they're frustrated. You stay structured
  • Startup mindset. Bias to action, comfort with changing priorities, strong documentation habits
  • Standard business hours (M-F 10am-6pm) with occasional early or late coverage during peak periods

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.