Crossover

4 Jobs

2,747 Employees

About the Company

Crossover is a global recruitment company, founded in 2014. We're the world's largest recruiter that specializes in elite full-time remote jobs, hiring the top 1% of tech talent from every corner of the planet.

We find awesome talent in overlooked places, by posting jobs all over the world, and giving everyone an equal opportunity to prove their skills are world-class. Our system of AI-powered assessments is based on objective factors that are scientifically proven to predict high performance (e.g. cognitive aptitude).

:
Reviews from people we've hired: crossover.com/reviews
Current openings: crossover.com/jobs
Hire someone for your company: crossover.com/hire
How the process works: crossover.com/selection-process
FAQs: crossover.com/help
~~~
: Crossover jobs are are fully compliant with LinkedIn's policies, as well as the applicable laws in every country where we advertise.

Allow us to clarify some common misconceptions:
1) The reason we post so many job ads is because LinkedIn organizes all job postings by location. So, the only way to reach candidates all over the world is to post multiple ads in every city you want to hire from. Most recruiters don't bother because it's too time consuming... but we're not most recruiters.
2) We mostly recruit independent contractors, not employees, because labor laws vary so much from one country to another that it's near-impossible to recruit globally otherwise (which is why it's still uncommon even though most jobs can now be done remotely).
3) As is standard for any self-employed person, the stated pay is the entire compensation package. Because they are not employees, each contractor is responsible for handling the things that an employer would take care of e.g. taxes, equipment, vacation time, health insurance. One of the major reasons that Crossover jobs pay so much more than local jobs is to overcompensate for these costs.

It's hard, but it's worth it!

Listed Jobs

Company Name: Crossover
Job Title: Senior Quality Assurance Automation Engineer, IgniteTech (Remote) - $100,000/year USD
Job Description: **Job Title** Senior Quality Assurance Automation Engineer **Role Summary** Lead the design, implementation, and maintenance of AI‑driven test automation frameworks. Leverage Generative AI and predictive analytics to generate test cases, scripts, and datasets, evaluate results, detect defect patterns, and provide actionable recommendations that accelerate delivery and reduce defect rates. **Expectations** - AI‑first mindset: prioritize AI tools for generating and refining tests rather than manual scripting first. - Minimum 2 years of professional QA automation experience. - Proficiency in Selenium and one of Python, Java, or JavaScript. - Hands‑on experience applying AI tools to automate QA processes. - Knowledge of CI/CD pipelines (Jenkins, GitHub Actions, etc.). **Key Responsibilities** 1. Architect and extend AI‑enhanced test automation frameworks that generate test cases, scripts, and data. 2. Use GenAI to analyze test results, detect defect patterns, and recommend improvements. 3. Replicate user workflows, stress conditions, and boundary scenarios to uncover failures pre‑release. 4. Integrate automation suites into CI/CD pipelines to ensure continuous testing and rapid feedback. 5. Monitor framework performance, refine AI models, and iterate on test coverage strategies. 6. Collaborate with development and product teams to prioritize test coverage and risk mitigation. **Required Skills** - AI‑first approach to test automation. - Selenium expertise + proficiency in Python, Java, or JavaScript. - Experience with AI tools for QA automation (e.g., GPT‑based code generation, test data synthesis). - CI/CD tool experience (Jenkins, GitHub Actions, or equivalents). - Strong scripting and programming skills. - Ability to model and analyze test data for predictive insights. - Debugging, performance tuning, and automation framework maintenance. - Effective communication across cross‑functional teams. **Required Education & Certifications** - Bachelor’s degree in Computer Science, Software Engineering, or related field (preferred). - Certifications in QA or automation (ISTQB, Selenium, or AI-related) considered a plus.

Company Name: Crossover
Job Title: Artificial Intelligence Engineer, IgniteTech (Remote) - $100,000/year USD
Job Description: **Job title:** Artificial Intelligence Engineer **Role Summary:** Lead the design and implementation of AI‑driven software development frameworks. Conduct advanced R&D, prototype AI solutions, and shape architectural strategies to accelerate coding, reduce human error, and improve code quality across full‑stack development environments. **Expectations:** - Spearhead the research, development, and deployment of generative AI tools for software architecture and coding automation. - Effectively evaluate and select appropriate large language models (LLMs) and code assistants (e.g., GitHub Copilot, Cursor, v0.dev) for specific development use cases. - Drive measurable gains in development speed, code quality, and time‑to‑market. **Key Responsibilities:** - Architect AI‑powered systems for automation of complex software tasks, including automated architecture generation, dependency management, and predictive coding. - Prototype and validate novel AI capabilities that integrate with existing development pipelines. - Conduct deep engagement with cutting‑edge AI research, attend conferences, and contribute to professional communities to maintain a lead position in emerging technologies. - Define strategic frameworks and best‑practice guidelines for embedding AI in enterprise software solutions. - Demonstrate expertise in the Model Context Protocol (MCP) and its practical application. **Required Skills:** - Full‑stack development experience (front‑end & back‑end) – minimum 3 years. - Proven track record of building and deploying generative AI products or solutions. - Extensive hands‑on experience with GenAI code assistants (GitHub Copilot, Cursor, v0.dev, etc.). - Proficiency in multiple LLMs (GPT, Claude, Mistral, etc.) and ability to select the appropriate model for business problems. - Strong understanding of Model Context Protocol and implementation of AI‑driven software engineering workflows. - Research‑oriented mindset with capability to prototype and iterate rapidly. - Excellent communication and strategic thinking skills. **Required Education & Certifications:** - Bachelor’s degree (or higher) in Computer Science, Software Engineering, or a related technical field. - Relevant certifications in AI/ML (e.g., AWS Certified Machine Learning, Google Cloud Professional ML Engineer) are a plus but not mandatory.

Company Name: Crossover
Job Title: Staff Software Architect, LearnWith.AI (Remote) - $200,000/year USD
Job Description: Job Title: Staff Software Architect Role Summary: Design and implement platform‑level systems that enable multiple engineering teams to deliver high‑quality products. Own end‑to‑end architectural decisions, produce detailed specifications and APIs, and drive technical coherence across the organization. Expectations: - No direct people management or long meetings. - 50 % time spent on specifications, API contracts, and technical decisions. - 30 % time building platform features. - 20 % time reviewing code and guiding implementation. - Remote, contractor role with full ownership. Key Responsibilities: - Author comprehensive system specifications before implementation. - Design robust, backward‑compatible APIs ensuring future extensibility. - Produce Important Technical Decisions (ITDs) with justification and context. - Develop sophisticated platform capabilities used by other teams. - Conduct pull‑request reviews to enforce architectural standards. Required Skills: - 5+ years of professional software development experience. - 2+ years designing multi‑team, API‑centric systems. - Proven track record of writing implementable technical specifications or decisions. - Hands‑on experience with API design, versioning, and documentation. - Experience integrating AI tools into the development workflow. - Strong communication for drafting specs and providing guidance. - Ability to execute coding tasks alongside architectural duties. Required Education & Certifications: - Bachelor’s degree in Computer Science, Software Engineering, or related field (or equivalent practical experience). - No mandatory certifications required.

Company Name: Crossover
Job Title: Vice President of Product Engineering, 2 Hour Learning (Remote) - $400,000/year USD
Job Description: **Job Title**: Vice President of Product Engineering **Role Summary**: Lead the end‑to‑end technical ownership of AI‑enabled education products, serving in a CTO capacity to design scalable architecture, set deployment roadmaps, and integrate generative AI to enhance learning outcomes. **Expactations**: - Deliver strategic, actionable technical decisions that drive student performance improvement. - Maintain focus on direct contribution, avoiding excessive meetings and abstract frameworks. - Own product delivery with end‑to‑end accountability while executing with entrepreneurial speed. **Key Responsibilities**: - Architect and govern foundational platform capabilities and design patterns for learning products. - Define and implement technical specifications that prioritize simplicity, operational efficiency, and sustainable scalability. - Oversee cloud‑based infrastructure (AWS) and generate business value through flawless execution. - Deploy generative AI features to automate engineering workflows and product functions. - Conduct trade‑off analysis to balance product complexity, performance, and time‑to‑market. - Serve as the single technical and delivery owner for revenue‑generating products. - Collaborate with learning science experts to incorporate data‑driven insights into product roadmaps. **Required Skills**: - 7+ years leading critical architecture decisions in software projects. - 2+ years designing with cloud services, preferably AWS. - Deep expertise in generative AI product development and deployment. - Proven ability to streamline processes using AI. - Strong product ownership mindset with full delivery accountability. - Familiarity with learning science data analysis and pedagogical algorithms. **Required Education & Certifications**: - Bachelor’s or Master’s degree in Computer Science, Software Engineering, or related technical field. - Certifications in cloud architecture (e.g., AWS Certified Solutions Architect) highly desirable.