Hunter, your AI career agent

Product Introduction

1. Hunter is an AI-powered career agent designed to streamline job searching by analyzing user preferences and matching them with relevant opportunities. It operates as a conversational AI that engages users to understand their career goals, skills, and priorities, then scans over 100,000 job postings daily across multiple platforms. The agent filters opportunities based on alignment with user criteria and facilitates direct introductions to hiring managers.
2. The core value of Hunter lies in its ability to eliminate manual job search inefficiencies by automating candidate-to-role matching with precision. It prioritizes user autonomy by allowing individuals to set preferences for job types, locations, salaries, and company cultures while maintaining discretion. By directly connecting users to decision-makers, Hunter reduces application bottlenecks and accelerates hiring processes.

Main Features

1. AI-Driven Job Scanning: Hunter uses natural language processing (NLP) and machine learning (ML) algorithms to parse job descriptions, company profiles, and user inputs to identify matches. The system evaluates factors like role requirements, cultural fit, and career progression opportunities, updating its recommendations in real time as new jobs are posted or user preferences change.
2. Direct Hiring Manager Introductions: The agent automates personalized outreach to hiring managers via email or LinkedIn, presenting user profiles as tailored recommendations. Hunter’s algorithm prioritizes managers with active recruitment needs and verifies contact details through proprietary databases to ensure deliverability. Users retain control over when and how introductions are initiated.
3. User-Controlled Discretion: Hunter employs configurable privacy settings, allowing users to anonymize their profiles during initial outreach or limit visibility to specific industries. The platform uses end-to-end encryption for all communications and adheres to GDPR/CCPA compliance standards, ensuring that job searches remain confidential unless explicitly authorized by the user.

Problems Solved

1. Inefficient Job Search Processes: Traditional job hunting requires manually sifting through thousands of listings, leading to missed opportunities and burnout. Hunter solves this by automating the discovery of roles that align with a user’s skills, values, and career trajectory, reducing average search time by 70% based on internal benchmarks.
2. Passive Candidate Engagement: Professionals not actively job hunting but open to opportunities often lack visibility to recruiters. Hunter bridges this gap by discreetly presenting their profiles to hiring managers, enabling passive candidates to explore roles without publicizing their availability.
3. Mismatched Applications: Many applicants struggle to identify roles that genuinely fit their qualifications, resulting in rejected applications. Hunter’s ML models cross-reference user-provided data with employer requirements, surface only high-probability matches, and flag potential mismatches in salary, location, or responsibilities upfront.

Unique Advantages

1. Proactive Outreach Automation: Unlike platforms that require users to apply manually, Hunter initiates contact with hiring managers on the user’s behalf. This feature leverages behavioral data to optimize outreach timing, increasing response rates by 3x compared to traditional applications.
2. Adaptive Learning System: Hunter’s AI refines its recommendations based on user feedback, rejection patterns, and market trends. For example, if a user declines roles from startups, the system adjusts future suggestions to prioritize enterprises, ensuring continuous alignment with evolving preferences.
3. Comprehensive Employer Network: The platform aggregates jobs from public boards, company career pages, and partner networks, including unadvertised roles. This gives users exclusive access to opportunities not listed on mainstream platforms, with 40% of matched jobs classified as “hidden market” positions.

Frequently Asked Questions (FAQ)

1. How does Hunter ensure job matches align with my preferences? Hunter combines explicit user inputs (e.g., salary range, location) with implicit signals (e.g., interaction history, profile updates) to train its recommendation engine. The system cross-validates employer data against your criteria and assigns a compatibility score from 0–100, only forwarding opportunities scoring above 85.
2. What happens after Hunter introduces me to a hiring manager? Hiring managers receive a summary of your skills and career goals, along with a link to your full profile (if authorized). You’re notified via email when a manager expresses interest, and Hunter provides tools to schedule interviews or share additional materials directly through the platform.
3. Is my job search activity visible to my current employer? Hunter masks your identity by default during initial outreach and excludes your current employer’s industry or company from searches unless instructed otherwise. All data is stored in encrypted formats, and users can enable “Stealth Mode” to pause visibility to specific organizations.
4. Can Hunter handle searches for niche or specialized roles? The AI is trained on 27 industry taxonomies and recognizes over 50,000 hard and soft skills, enabling it to parse highly technical job descriptions. For niche fields like quantum computing or regulatory affairs, Hunter prioritizes roles from its curated network of specialized recruiters and industry groups.
5. Why is Hunter free to use? Hunter partners with employers to cover operational costs, charging hiring managers a referral fee only when a successful placement occurs. This aligns incentives—users pay nothing, and employers compensate Hunter for vetted, pre-qualified candidates.