# JobsWithPay

JobsWithPay indexes 93,000+ tech roles straight from company career sites, surfaces employer-posted salary ranges on 44% of listings, and re-verifies every job daily.

**Categories:** SaaS, Artificial Intelligence, Developer Tools, Remote Work
**Tags:** Freemium, For Developers, HR, Search, AI-Powered, API

## Introduction

## Overview

JobsWithPay is a technical job search engine that collects openings from employers' own career sites and applicant tracking systems instead of third-party aggregators. The index covers 93,089 roles at 7,793 companies, grouped into software, ML/AI, inference systems, research, data, infrastructure, security, product, design and quant. About 44.3% of listings publish a salary range. The platform targets engineers, researchers and data professionals who want compensation figures alongside the job description, and it is free during its beta period.

## Key Features

- **Pay-first filtering** — 47,723 of 93,089 listings carry an explicit range, and a dedicated filter isolates them.
- **Ask AI parsing** — a natural-language box converts prompts like "Remote senior ML jobs that pay $200K or more" into structured filters.
- **Pay explorer** — median low-to-high of posted base pay by job type and region, restricted to employers with five or more paid listings; Bay Area software medians span Netflix at $388K–$558K and OpenAI at $266K–$445K.
- **Daily re-checks** — each listing is re-read at its source and dropped after two consecutive misses; 86,575 of 93,089 were verified within 24 hours.
- **Source registry** — Greenhouse (36,187), Ashby (21,875), in-house career sites (10,685), Lever (9,507), Workday (6,146), a purchased feed (5,127), Y Combinator (3,224) and smaller boards.
- **Portfolio pages** — résumé-derived profiles label each skill Proven, Stated or No proof from merged pull requests, papers and packages, with one-click job comparison for recruiters.
- **Deduplication** — each role appears once, staffing-agency postings are excluded, and categories are assigned before display.

## Use Cases

Candidates at the offer stage use the pay explorer and offer-check tooling to benchmark a proposed base salary against posted ranges at peer employers. New graduates and interns rely on the new-grad and internship slices, which pair each opening with its stated range. Recruiters and hiring managers compare a candidate's portfolio page against a role's requirements to see which skills carry public evidence. Researchers and ML engineers benefit from the inference, AI-research and data-engineering subdivisions, each broken out by metro including Bengaluru, Hyderabad and Pune. Large-employer listings drawn from the purchased feed refresh weekly, so those entries can trail the daily-checked boards.

## Pros

- Salary data comes only from employer-posted ranges rather than estimates, so every figure traces back to the source listing.
- Each job is re-read daily and removed after two consecutive misses, cutting the stale postings common on aggregator sites.
- Natural-language search resolves constraints such as pay floor, seniority and location inside a single query.
- The pay explorer benchmarks median base ranges by job type and metro, giving an offer a concrete comparison set.
- Portfolio pages tie claimed skills to public artifacts like merged pull requests and papers instead of self-reported lists.

## Cons

- Only 44.3% of indexed listings post a range, so a majority of roles still lack compensation data.
- Jobs sourced from the purchased data feed refresh weekly, meaning some large-employer openings can lag behind daily-checked boards.
- Portfolio proof depends on public work and the site states it does not verify degrees, limiting coverage for non-open-source professionals.

## Links

- **Website:** https://jobswithpay.com
- **Review page:** https://web-review.com/item/jobswithpay

*Published: 2026-11-13*