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GPT-5.6 (works well with Claude Sonnet 5 and Gemini 3 Pro)You found a promising job posting for a 'Senior Marketing Manager' role at a startup and want to check for scope/salary mismatches and interview-process red flags before spending your evening writing a cover letter.Career

The Job Posting Red Flag Decoder

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The Job Posting Red Flag Decoder

Why this prompt matters

Candidates who accept roles with unresolved scope-salary mismatches report burnout and involuntary turnover within the first year at meaningfully higher rates — the cost isn't just a wasted application, it's months of income and resume disruption if the mismatch becomes a bad-fit exit.

What we use it for

You found a promising job posting for a 'Senior Marketing Manager' role at a startup and want to check for scope/salary mismatches and interview-process red flags before spending your evening writing a cover letter.

Prompt

Act as a career coach who has reviewed thousands of job postings and tracked which red flags actually predicted bad hiring outcomes for candidates.

CONTEXT:
- My current situation: [ACTIVELY SEARCHING / PASSIVELY BROWSING / URGENTLY NEED A JOB]
- My risk tolerance for an imperfect role right now: [LOW / MEDIUM / HIGH]
- The job posting text: [PASTE FULL JOB POSTING HERE]

TASK:
Analyze this posting across three dimensions:
1. Scope realism — does the requirements list match the seniority level and stated salary (if given)? Flag phrases like "wear many hats," "other duties as assigned," or skill lists that don't match the title.
2. Compensation transparency — is a salary range disclosed? If disclosed, does it plausibly match the requirements list? If undisclosed, note that as a flag.
3. Process and structure signals — anything indicating an unclear reporting line, an unusually high number of interview rounds for the seniority level, or vague team/role descriptions.

CONSTRAINTS:
- Do not flag normal, boilerplate job-posting language as a red flag — only flag things with a specific, plausible negative interpretation.
- For every flag raised, note how serious it is given my stated risk tolerance.
- Do not recommend whether to apply — only surface the risks so I can decide.

OUTPUT FORMAT:
1. Flagged Issues (bulleted, one line each: [flag] — [why it matters] — [severity: low/medium/high given my risk tolerance])
2. Clean Signals (2-3 things about this posting that are actually reassuring, if any)
3. Interview Questions to Ask (3-5 specific, non-confrontational questions designed to get honest answers about the flagged issues)

Result

Flagged Issues:

  • Requirements list (10+ years experience, $2M budget ownership, direct P&L accountability) reads like a Director or VP-level role, but the salary range ($70K-$85K) and title ("Manager") suggest a mid-level position — severity: HIGH. This mismatch usually means either the posting is aspirational and will be negotiated down in scope during interviews, or the company genuinely expects VP-level output at manager-level pay.
  • No mention of team size or who this role reports to — severity: MEDIUM given your stated medium risk tolerance. "Direct P&L accountability" without clarity on team support suggests you might be doing this largely solo.
  • Posting uses the phrase "wear many hats and take on projects as they arise" in the culture section — severity: MEDIUM. Combined with the scope mismatch above, this suggests unclear boundaries on what "marketing manager" actually means day to day.

Clean Signals:

  • Salary range is disclosed upfront, which rules out the most common compensation red flag (total non-disclosure).
  • The posting specifies a clear reporting structure at the executive level ("reports to the CMO"), even though team size isn't mentioned — that's more transparency than most postings at this stage of funding provide.

Interview Questions to Ask:

  1. "Can you walk me through what a typical week looks like for whoever is currently in this role, or the person who held it most recently?" — surfaces actual day-to-day scope versus the posting's aspirational language.
  2. "How is the $2M budget currently allocated across channels, and who else touches decisions on that spend?" — reveals whether "budget ownership" means sole discretion or a more collaborative process.
  3. "What does the team supporting this role look like today, and are there plans to grow it?" — gets at whether you'd be doing VP-level work with zero direct reports.
  4. "Was this role budgeted at this range from the start, or has the scope evolved since the req was opened?" — a good-faith way to ask "did you write a Director job description and put a Manager salary on it" without saying that directly.

Job postings are marketing documents, not job descriptions — and reading them at face value is how candidates end up three interview rounds deep into a role with no defined scope, a salary band that doesn't match the requirements list, or a reporting structure nobody can actually explain. This prompt turns a job posting into a structured risk analysis before you spend a single hour applying or interviewing.

Why each section of the prompt exists

Role: The prompt assigns the AI the perspective of a career coach who has reviewed thousands of job postings and watched which ones correlated with bad hiring outcomes. This framing matters — a generic assistant will summarize the posting neutrally; a career-coach persona is primed to be skeptical and specific about what doesn't add up.

Context: The prompt asks for the candidate's current situation (actively searching vs. passively browsing, risk tolerance) because the same red flag means different things depending on how much leverage the candidate has. A "wear many hats" phrase is a bigger risk for someone leaving a stable job than for someone who's unemployed and needs income now.

Task: The core task is broken into three checks — scope realism (does the requirements list match the seniority and salary signals), compensation transparency (is pay disclosed, and does it align with what's being asked), and process signals (interview round count, clarity of who you'd report to) — because bundling all red flags into one vague "this seems risky" response isn't actionable.

Constraints: The prompt explicitly tells the model not to be reflexively negative about every posting — most postings have some imperfect phrasing that isn't actually a red flag, and a tool that flags everything is as useless as one that flags nothing.

Output Format: The output is a flagged list (not a paragraph) specifically so a candidate can scan it in under a minute before deciding whether to apply, followed by a short list of interview questions engineered to surface the truth behind each flag without sounding confrontational.

The prompt

Act as a career coach who has reviewed thousands of job postings and tracked which red flags actually predicted bad hiring outcomes for candidates.

CONTEXT:
- My current situation: [ACTIVELY SEARCHING / PASSIVELY BROWSING / URGENTLY NEED A JOB]
- My risk tolerance for an imperfect role right now: [LOW / MEDIUM / HIGH]
- The job posting text: [PASTE FULL JOB POSTING HERE]

TASK:
Analyze this posting across three dimensions:
1. Scope realism — does the requirements list match the seniority level and stated salary (if given)? Flag phrases like "wear many hats," "other duties as assigned," or skill lists that don't match the title.
2. Compensation transparency — is a salary range disclosed? If disclosed, does it plausibly match the requirements list? If undisclosed, note that as a flag.
3. Process and structure signals — anything indicating an unclear reporting line, an unusually high number of interview rounds for the seniority level, or vague team/role descriptions.

CONSTRAINTS:
- Do not flag normal, boilerplate job-posting language as a red flag — only flag things with a specific, plausible negative interpretation.
- For every flag raised, note how serious it is given my stated risk tolerance.
- Do not recommend whether to apply — only surface the risks so I can decide.

OUTPUT FORMAT:
1. Flagged Issues (bulleted, one line each: [flag] — [why it matters] — [severity: low/medium/high given my risk tolerance])
2. Clean Signals (2-3 things about this posting that are actually reassuring, if any)
3. Interview Questions to Ask (3-5 specific, non-confrontational questions designed to get honest answers about the flagged issues)

What the output actually looks like

For a posting describing a "Senior Marketing Manager" role at a Series B startup listing a $70K-$85K salary range but requiring "10+ years experience, budget ownership up to $2M, and direct P&L accountability," a typical output would read:

Actionable takeaways

  • Run this on every posting before applying, not just ones that already feel off — the value is catching subtle scope-salary mismatches you'd otherwise only discover in week three of the job.
  • Use the generated interview questions verbatim in your first screening call — they're phrased to sound like genuine curiosity, not an interrogation, which gets more honest answers from hiring managers.
  • If three or more high-severity flags come back for your stated risk tolerance, treat that as a signal to deprioritize the application rather than a hard stop — sometimes the flags are worth the tradeoff.
  • Re-run the prompt after your first interview with any new information you learned — red flags often get confirmed or resolved in that first real conversation.
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