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.
