With a crowded market for tech jobs and a robust candidate marketplace of professionals hoping to fill them, courting the right talent can be a challenge. For many job hunters, the first point of contact with a potential employer is the job listing, found on company websites or listing platforms like Indeed, Dice and Monster. For human resources managers, drafting position outlines is old hat, but smaller firms without deep HR departments might need a few pointers for putting together the perfect overview.
- Be specific. Make sure the job description explains how a role specifically advances the mission of your particular company. Intriguing listings take priority over generic openings with vague explanations.
- Don't be unyielding. The Small Business Administration (SBA) advises firms to keep "qualifications" and "duties" flexible. "Jobs are subject to change for personal growth, organizational development and/or evolution of new technologies," says the SBA website. "A flexible job description encourages employees to grow within their position and contribute over time to your overall business."
- Don't forget the basics. A strong job listing includes standard categories like title, summary, list of responsibilities and preferred qualifications. Don't assume that something like minimum experience or a particularly important facet of the role is evident in the title or level itself. No candidate has ever said "that job listing was too informative."
- Use the power of suggestion for salary. Seldom do professional job listings disclose a specific figure, or even a salary range. Words like "senior director" or "junior programmer" conjure a baseline idea for professionals in the marketplace if you indicate that the compensation is "competitive." Conversely, don't make the "competitive" promise up front if you can't keep it. Salary negotiation comes much later in the consideration process.
With these tips, your firm can attract the most interested, qualified candidates for your latest openings. VAR Staffing helps organizations find and recruit the individuals they need to help their clients with big and smart data projects.