я ПРОНИК в кабинет HR рекрутера. Они видят ВСЕ

Summary

The video demonstrates how an employer account on hh.ru can shape vacancy creation, rank applicants, and automate screening. The speaker’s main point is that hiring decisions are influenced not only by a recruiter’s review but also by platform defaults, filters, and AI-generated suggestions.

Recruitment workflows and platform tactics

• Vacancy setup: Employers choose a job specialization, experience range, employment type, work format, location, and other criteria. The speaker says that 3–6 years is a common experience range for developer roles; candidates below a listed minimum may be filtered out or rank lower.
• AI-assisted job descriptions: hh.ru can generate vacancy text from sparse prompts and details already entered in the form. In the demonstration, it inferred technical responsibilities and produced generic benefits such as mentorship and career growth. The speaker cautions that recruiters may accept suggested text without carefully checking it.
• Suggested skills: The platform recommends skills based on the role and updates suggestions as the employer selects them. The speaker argues that recruiters may rely on these suggestions, so candidates should check that their resumes include relevant, accurate skills.
• Automated screening: The employer interface can filter by criteria including age, gender, education, region, citizenship, work experience, salary expectations, and language proficiency. The interface reportedly flags that gender filtering may violate labor law, though the speaker demonstrates that it can still be selected. These filters can exclude candidates before a recruiter reviews their application.
• Automated questions and responses: Recruiters can send questions, invitations, or rejections automatically. Candidates’ paid auto-response features may be disabled for a vacancy, so the speaker recommends not relying on them alone.
• Recruiter workflow: The interface supports reviewing applicants, marking resumes as viewed, saving favorites, contacting candidates, and moving them through a hiring funnel. The speaker describes stages such as initial contact, messaging, assessment, and rejection.
• CRM and contact retention: The speaker says candidate contact details may no longer be available after a period without communication, and that recruiters may use systems such as Talantix to retain candidate records.

Resume and application recommendations

• Match the vacancy’s specialization, experience range, employment type, work format, and location where these genuinely apply. The speaker says mismatches can reduce visibility or trigger filters.
• Keep the resume complete and set job-search status accurately; recruiters can see whether someone is actively looking, open to offers, or not searching.
• Describe achievements with specific outcomes and numbers. In the example, a resume with quantified performance and observability work appeared high in the results. The speaker also warns that implausible claims can look fabricated.
• Include relevant skills and language proficiency truthfully. The speaker suggests that candidates targeting roles requiring English should be prepared to meet the stated level, such as B2.
• Keep contact details convenient for recruiters. The speaker specifically recommends including a Telegram handle if the candidate wants recruiters to reach them that way.
• Use a tailored cover letter when it is required or genuinely relevant; the speaker says many employers do not make it mandatory.
• Avoid posting multiple stack-specific resumes under one account if they misrepresent the candidate’s profile; the speaker says recruiters can see that multiple resumes were posted from the same account.

Resume-testing playbook

The speaker describes using an employer account as a testing environment for mentees’ resumes:

1. Create a representative vacancy for the target role.
2. Submit or compare resumes against the vacancy and review their relative placement.
3. Identify stronger examples and improve the weaker resume’s relevant sections.
4. Repeat the comparison to assess whether the revised resume performs better.

The speaker presents this as a more practical test than judging a resume in isolation. The video also notes that the employer account can search a database of public resumes and purchase candidate contact details.

Metrics and figures mentioned

• 140 responses had accumulated on the speaker’s senior-developer vacancy, which he said he had not had time to review.
• hh.ru suggested a salary range of ₽250,000–₽300,000 for the demonstrated developer vacancy. The speaker said this was low for senior roles and claimed he would set a senior minimum of ₽300,000; these are his observations, not a general market benchmark.
• The speaker cited 3–6 years as a common experience requirement for developer vacancies.
• He said candidate contact information could be lost after roughly six months without communication.
• The resume database search showed about 15,000 profiles.
• The speaker’s mentorship pitch cited 50+ employment cases, with support extending from resume preparation through interviews, security checks, offer negotiations, and the probationary period.

Sources and presenter

• Presenter: The channel creator, identified in the metadata as it father; no personal name is given in the subtitles.
• Platforms and services discussed: hh.ru, Talantix, and Gosuslugi.