Unanswered questions lose great candidates
Inquiries sit unanswered for days
Same questions asked over and over
Inquiries come from everywhere
Outdated information frustrates candidates
Can't keep up during hiring surges
Candidates in different timezones
Instant, accurate answers for every candidate
AI responds to inquiries immediately
Detailed role and company info
Handle inquiries from any source
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Escalate complex questions
Anticipate candidate needs
See how AI handles job inquiries
Candidate wants to understand if they qualify for a senior position.
"AI provides detailed guidance: "Thanks for your interest in the Senior Software Engineer role! Let me help you understand if it's a fit. Requirements breakdown: Must-have: 5+ years of professional software development (you mentioned 4.5 years - that's close!), strong experience with Python or Java, experience with cloud platforms (AWS, GCP, or Azure). Nice-to-have: Team leadership experience, system design background, our specific tech stack (Kubernetes, PostgreSQL, Redis). Your background assessment: Based on what you've shared, you're slightly under the years requirement but your experience at a high-growth startup and your open-source contributions are valuable. Many hiring managers consider quality of experience alongside years. My recommendation: I'd encourage you to apply. Your startup experience often counts for more than traditional experience, and your GitHub projects show strong technical skills. When you apply, highlight your ownership of the payment processing system you mentioned. Would you like me to connect you with our recruiter Sarah for a quick chat about whether to apply for Senior or consider our mid-level role as well?""
Candidate asks about salary range before applying.
"AI handles transparently: "Great question about compensation - I'm happy to share what I can. For the Product Manager role in San Francisco: Salary range: $140,000 - $180,000 base, depending on experience level. Equity: All PMs receive stock options; new grants vest over 4 years with 1-year cliff. Benefits highlights: Premium health/dental/vision (company pays 90%), unlimited PTO (average taken is 4 weeks), $2,000 annual learning budget, 16 weeks parental leave, 401k with 4% match. Remote policy: This role is hybrid - 3 days in SF office, 2 days remote. We're flexible on which days. What determines where you'd fall in range: Years of relevant PM experience, track record of shipped products, industry expertise (fintech experience is a plus for us), leadership and cross-functional skills. Based on the background you mentioned (6 years PM, fintech experience), you'd likely be in the upper half of the range. Would you like me to help you start an application, or do you have other questions first?""
Candidate applied two weeks ago and wants to know status.
"AI provides status update: "I found your application, Michael! Let me give you a complete update on your Data Scientist application submitted 12 days ago. Current status: Your resume has been reviewed and you're in the 'Under Consideration' pool. This means you passed the initial screening - that's a good sign! What's happening: Our hiring team reviews candidates in batches weekly. The Data Science team had a planning offsite last week which delayed reviews, but they're back and actively scheduling interviews this week. Timeline expectation: Based on current pace, you should hear from a recruiter within the next 5 business days if moving forward. If you don't hear by next Friday, I'd recommend following up. Your application highlights: Strong Python and ML experience, relevant industry background, good educational foundation. The hiring manager particularly noted your Kaggle competition results. Is there anything you'd like to add to your application or any questions about the role while you wait? I can also notify you immediately if your status changes.""