For a playbook for negotiating tech offers, the first results are jlevy/og-equity-compensation, amusi/ai-job-notes and alexeygrigorev/data-science-interviews. jorgef/engineeringladders and nas5w/interview-guide round out the shortlist. Compare the match explanations and check the project documentation against your requirements.
Open-source resources and strategies for navigating compensation discussions and securing competitive offers in technology roles.
This project is a comprehensive equity compensation guide and financial planning resource designed to help employees evaluate stock options, restricted stock units, and vesting schedules. It serves as an employee equity handbook and a financial modeling framework for calculating ownership percentages, dilution impacts, and the value of private stock. The resource provides a compensation negotiation framework to help individuals balance cash salary against equity grants and optimize total job offer value. It includes specialized guidance on navigating liquidity events, such as initial public o
This repo is a focused guide for negotiating equity compensation (RSUs, options, vesting) in tech jobs, offering a negotiation framework and offer evaluation models—it covers total comp structure and strategies, but lacks salary benchmarks, full negotiation scripts, and company-specific insights, making it a narrower but valid fit for tech salary negotiation guides.
AI-Job-Notes is a curated job hunting guide and technical interview curriculum specifically for artificial intelligence and computer vision roles. It functions as a markdown knowledge base and static site repository that organizes recruitment data, study materials, and company lists. The project provides resources for AI algorithm job hunting, including company directories and salary benchmarks based on geography and educational background. It covers campus recruitment planning through the tracking of application windows and internship cycles. The repository includes materials for technical
This repo is a job-hunting and interview-preparation guide for AI roles, including salary benchmarks, but its core focus is technical interview preparation rather than providing negotiation scripts, strategies, or total compensation package guides, so it does not squarely match the search for actionable negotiation guides.
This project is a curated knowledge repository providing theoretical guides, practical challenge banks, and professional handbooks for technical interview preparation in data science and machine learning. It serves as a comprehensive study resource that combines theoretical knowledge with algorithmic practice. The repository features specialized study resources including a probability and statistics handbook, a machine learning reference for algorithms and neural network architectures, and a coding and SQL challenge bank designed to simulate recruitment assignments. It also includes a technic
This repository is a curated knowledge base for data science interview preparation, not a dedicated collection of salary negotiation guides, scripts, or compensation breakdowns — it may touch on compensation but is focused on technical interviewing rather than negotiation strategies.
This project is an engineering career ladder framework and professional development planning tool. It provides a methodology for defining seniority levels and the specific requirements needed to achieve promotions through a competency-based performance rubric. The framework focuses on separating people management duties from technical leadership to clarify organizational accountability. It utilizes an organizational role definition model to distinguish between individual contributor and manager responsibilities, preventing conflict and aligning professional goals. The system covers engineeri
This repository provides a career ladder and promotion framework for engineers, but it does not include salary negotiation scripts, compensation breakdowns, or benchmarks, so it is not the negotiation guide you need.
This project is a comprehensive set of roadmaps and curricula designed for technical, behavioral, and architectural interview mastery. It provides structured guides, frameworks, and checklists for mastering algorithmic coding, system design, and behavioral questions. The resource is distinguished by specialized study paths, including a frontend engineering curriculum and a dedicated system design framework for architecting scalable systems. It also features a behavioral interview playbook that utilizes a standardized response method to align professional experience with company values. The g
This repository provides interview preparation guides rather than salary negotiation resources, so it covers a neighboring career topic but not the specific compensation and negotiation strategies you're looking for.
This project is a comprehensive knowledge base and study resource designed for mastering technical interviews. It provides structured guides, roadmaps, and curricula focused on data structures, algorithms, system design, and frontend engineering to help candidates prepare for software engineering screenings. The repository distinguishes itself by offering a holistic approach to professional advancement. Beyond technical drills, it includes a career development handbook covering resume optimization, salary benchmarking, and strategic negotiation coaching. It also provides detailed methodologie
This repository is primarily a technical interview preparation resource that also includes a career development handbook with some salary benchmarking and negotiation coaching, but it is not a dedicated, curated collection of tech salary negotiation guides and templates.
HowToBeAProgrammer is a comprehensive software engineering career guide and professional development framework. It serves as a curated-knowledge repository and handbook designed to help programmers acquire technical habits and social competencies necessary for professional advancement. The project distinguishes itself by integrating technical craftsmanship with a detailed manual for technical leadership and organizational navigation. It provides specific strategies for career progression, such as compensation negotiation, promotion readiness, and the management of professional boundaries to p
This is a broad software engineering career guide that includes compensation negotiation among many other topics, but it is not a curated collection of dedicated salary negotiation guides, templates, and benchmarks specifically for tech-sector job offers.
| Repository | Stars | Language | License | Last push |
|---|---|---|---|---|
| jlevy/og-equity-compensation | 11.5K | — | — | |
| amusi/ai-job-notes | 6.1K | — | — | |
| 10K |
| HTML |
| CC-BY-4.0 |
| jorgef/engineeringladders | 8.5K | — | Apache-2.0 |
| nas5w/interview-guide | 4.3K | Astro | — |
| apachecn/interview | 8.9K | Jupyter Notebook | other |
| braydie/howtobeaprogrammer | 16.2K | — | — |