Sales Development Representatives (SDRs) are a fixture in most growing companies. Their daily work often involves a series of mechanical tasks: searching LinkedIn for new hires or company updates, manually updating spreadsheets of potential clients, finding contact details, and sending the first wave of outreach messages.
This work is valuable, but the process is repetitive. Many teams invest significant manpower only to find the approach is costly, inefficient, and yields inconsistent results.
1. Which Companies Are Hiring Sales Reps?
If you want to know which companies are hiring sales representatives, you likely have one of two goals: you’re looking for a job, or you’re looking for customers.
The second goal is often overlooked. A company that is actively hiring SDRs is, by definition, a company that needs to expand its sales pipeline. They have a clear intent to grow. This makes them an ideal potential customer for many B2B products and services.
The problem is that this information is scattered across thousands of individual LinkedIn job postings. Manually copying and pasting this data is slow. Finding the right contact person at each of these companies requires even more searching and jumping between pages.
2. An Automated Workflow
This is a problem for software. Using an AI automation platform like Maybe AI, you can build a workflow to handle this entire process. It looks like this:
1. Scrape Job Data: By using the BrowserScraper tool, the workflow automatically searches LinkedIn for roles like "Sales Representative" or "SDR." It then extracts the latest job details: company name, position, location, and the application link.
2. Generate a Spreadsheet: This data is instantly organized into a clean Google Sheet, creating a structured list of companies with an active need for sales growth.
3. Enrich the Data: The workflow can then enrich this list by finding and adding the company’s website, official LinkedIn page, and potential contact information.
4. Prepare for Outreach: This structured data can then be fed into another workflow to automatically generate draft outreach emails or personalized connection requests.
A task that once took a team days to complete can now be run by one person in minutes. You can see how this specific workflow runs by watching a replay of it here.
3. Augmenting the Sales Role
This kind of automation handles the most mechanical parts of a sales role.
- Information Gathering: The process of finding companies with sales-expansion signals is fully automated.
- Data Structuring: All information is instantly organized in a spreadsheet, with no manual data entry.
- Initial Outreach: The system can draft the first email or LinkedIn message, removing the repetitive work of writing the same introduction over and over.
This doesn't eliminate the need for a sales team. It allows you to focus your human resources on what people do best: having meaningful conversations, understanding customer needs, and closing deals. You can grow your pipeline without having to hire more people for the entry-level, repetitive tasks.
4. The Practical Value
The value of this approach is straightforward.
- It saves money. You reduce the hours your team spends on low-value work and lower the costs associated with hiring and training junior SDRs.
- It's efficient. Acquiring a clean list of 50 companies with clear intent takes minutes, not days.
- It’s conversion-focused. By identifying companies with a demonstrated need for sales growth, you reach potential customers at exactly the right time.
For any business, this is a new way to use LinkedIn. It’s no longer just a platform for recruiting or networking, but a live database of business opportunities.
In a competitive market, efficiency is an advantage. Our philosophy is simple: Data workflows, minus the work.
The goal isn't just to find out who is hiring sales reps. It's to turn that signal into a conversation with a potential customer. Let software do the repetitive work, so your team can focus on the conversations that matter.
About Maybe AI
Maybe AI is a business data workflow automation platform that lets prosumers describe their data needs in natural language and automatically handles the complete "acquire → analyze → act" business cycle, with intelligent solutions that learn and evolve with each use.
Data workflows, minus the work.
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