How to Build an OpenClaw Job Hunting Agent That Finds You Better Offers

Why Use an Agent for Job Hunting?

The 805-point Reddit post "My agent doubled my salary, it found a new job for me!" became one of the most-discussed posts in the OpenClaw community because it demonstrated something surprising: an AI agent is uniquely well-suited to the job hunting process.

Job hunting is fundamentally a search-and-match problem combined with repetitive writing tasks. You scan hundreds of listings, evaluate each one against your qualifications, write customized applications for each, track dozens of open applications, follow up at appropriate intervals, research companies before interviews, and prepare negotiation strategies. All of this is structured, repeatable work — exactly what OpenClaw excels at.

The Reddit poster reported that their agent surfaced a position at a company they had never heard of, in a niche they had not considered, that matched 85% of their skills and offered nearly double their current salary. They would not have found it manually because they were only searching the obvious job boards in the obvious categories. The agent searched more broadly, more consistently, and without the cognitive biases that make humans skip over unfamiliar listings.

Here is how to build the same system.

How Do You Set Up Your Job Profile?

The foundation of the job hunting agent is a comprehensive career profile stored in memory. This is not a resume — it is a structured document that the agent uses for matching, writing, and research.

Create a memory file called career-profile.md with these sections:

Skills and experience. List every relevant skill with a self-assessed proficiency level. Include technical skills, soft skills, tools, methodologies, and industry knowledge. Be thorough — the agent uses this for matching, and missing skills mean missed matches.

Work history. Chronological employment history with key accomplishments, metrics, and technologies used at each role. The agent pulls from this when drafting cover letters and preparing interview talking points.

Preferences. Minimum and target salary range. Location requirements (remote, hybrid, on-site, specific cities). Company size preferences. Industry preferences and exclusions. Role level (junior, mid, senior, lead). Deal-breakers (travel requirements, on-call, specific technologies you refuse to work with).

Target roles. Specific job titles you are targeting. Related titles the agent should also search for. Keywords that indicate a good match. Keywords that indicate a bad match.

Resume and cover letter templates. Your base resume content and a sample cover letter that represents your voice and style. The agent uses these as starting points for customization.

Spend an hour making this document thorough. The quality of your profile directly determines the quality of the agent's job matching and application drafting.

How Does Automated Job Scanning Work?

The agent scans job boards on a schedule (daily or twice daily) using one of several approaches:

RSS feeds. Many job boards offer RSS feeds for saved searches. Set up saved searches on LinkedIn, Indeed, Glassdoor, and any niche job boards in your industry. The agent monitors these feeds and processes new listings as they appear.

Web scraping (with caution). For boards without RSS, the agent can use browser automation to check saved searches. Be mindful of terms of service — some job boards prohibit scraping. Use this approach sparingly and respectfully.

Email parsing. Set up job alert emails from every major board. The agent monitors your email for these alerts, extracts the job listings, and processes them. This is the most reliable and ToS-compliant approach.

API access. Some job boards and aggregators offer APIs. Where available, API access is the cleanest and most reliable scanning method.

Configure a cron job to run the scanning skill twice daily — once in the morning (to catch overnight postings) and once in the afternoon (to catch same-day postings). The agent processes all new listings, scores them against your profile, and sends you a summary of the top matches.

How Does Skill Matching and Scoring Work?

For each job listing, the agent performs a structured comparison against your career profile:

Hard skill match. How many of the required skills do you have? Required skills carry more weight than preferred skills. Each skill match adds to the score.

Experience match. Does your experience level match the requirements? Years of experience, seniority level, and relevant industry experience are evaluated.

Compensation match. If salary is listed, does it fall within your target range? Above your minimum? The agent flags listings where compensation information suggests a significant upside.

Preference match. Location, remote policy, company size, industry — how well does the listing align with your stated preferences?

Deal-breaker check. Does the listing contain any of your deal-breakers? If so, it is excluded regardless of the overall score.

The agent assigns a score from 0 to 100 and categorizes each listing:

• 90-100: Strong match. Review immediately.
• 75-89: Good match. Worth reviewing.
• 60-74: Stretch opportunity. You meet most requirements but not all.
• Below 60: Weak match. Skipped unless you are casting a wide net.

The daily summary sent to your WhatsApp or Telegram includes the top matches with scores, key matching and non-matching skills, salary information, and a direct link to the listing.

How Does the Agent Draft Tailored Applications?

When you decide to apply for a listing, tell the agent: "Apply for the [job title] at [company]." The agent then:

1. Researches the company. Using web search, the agent gathers information about the company: size, recent news, culture, mission, notable projects, and any relevant information from Glassdoor or similar review sites.
2. Maps your experience to requirements. For each requirement in the listing, the agent identifies the most relevant experience from your career profile. This mapping becomes the backbone of your cover letter.
3. Drafts a tailored cover letter. Using your cover letter template and writing style from memory, the agent generates a cover letter that specifically addresses the listing's requirements with examples from your experience. It references the company's mission or recent achievements to demonstrate genuine interest.
4. Customizes your resume highlights. The agent suggests which accomplishments to emphasize and which to de-emphasize based on the specific role requirements.
5. Sends you the draft for review. You review the cover letter, make any edits, and approve. The agent logs the application in your tracking system.

The key advantage is speed and specificity. Writing a genuinely tailored cover letter from scratch takes 30-60 minutes. Reviewing and editing the agent's draft takes 5-10 minutes. Over 20 applications, that is 8-16 hours saved.

How Does Application Tracking and Follow-Up Work?

The agent maintains a tracker (Google Sheet, Notion database, or simple markdown file) with every application:

• Company name and position
• Date applied
• Application method (direct, referral, recruiter)
• Current status (applied, acknowledged, phone screen, interview, offer, rejected)
• Key contacts (recruiter name, hiring manager if known)
• Follow-up dates
• Notes from each interaction

Automated follow-ups. If an application has not been acknowledged after 7 days, the agent drafts a polite follow-up email and sends it to you for approval. A second follow-up goes out at 14 days. After 21 days with no response, the application is marked as "no response" and the agent moves on.

Weekly pipeline summary. Every Monday, the agent sends you a summary: total active applications, stage breakdown, applications needing follow-up, interviews scheduled this week, and any new responses received.

Interview prep. When you get an interview, tell the agent. It will research the interviewer on LinkedIn (if you provide the name), compile company information, prepare answers to common questions tailored to this specific role, and generate a list of smart questions to ask.

How Does the Agent Help With Salary Negotiation?

When you receive an offer, the agent becomes your negotiation research assistant:

Market research. The agent compiles salary data from Levels.fyi, Glassdoor, Payscale, and similar sources for the specific role, company, and location. It identifies the market range (25th percentile, median, 75th percentile) so you know where the offer falls.

Counter-offer drafting. Based on the market data and your target compensation, the agent drafts counter-offer talking points. These include specific justifications tied to your experience and the market data, making your negotiation evidence-based rather than emotional.

Scenario preparation. The agent generates responses to common negotiation scenarios: "That is our best offer," "We cannot increase base but can adjust equity," "What would it take for you to accept today?" Having prepared responses reduces the anxiety and improves outcomes.

Total compensation analysis. Beyond base salary, the agent helps you evaluate the full package: equity, bonus, benefits, PTO, remote work value, commute costs, and any other factors. Sometimes a lower base salary with better total compensation is the better deal.

The agent cannot negotiate for you — that requires real-time human interaction and judgment. But it can ensure you walk into every negotiation conversation fully prepared, with data and talking points that most candidates do not have. The Reddit poster attributed their salary increase not just to finding the right opportunity, but to being better prepared for the negotiation than they would have been on their own.

Building this system takes a weekend of focused setup. The career profile takes an hour. The scanning configuration takes 1-2 hours. The matching, drafting, and tracking skills take 2-3 hours to configure and test. After that, the agent runs daily with minimal intervention. The ROI of even one better job offer pays for the setup time thousands of times over.