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Joist AI is a content enablement platform that uses artificial intelligence to help Architecture, Engineering, and Construction (AEC) firms streamline their proposal and marketing content creation.
Employee count: 11-50
Joist AI is a technology company revolutionizing the way professionals in the architecture, engineering, and construction (AEC) industry manage marketing and revenue operations. Our AI-powered software streamlines workflows, making it easier for teams to collaborate, innovate, and succeed.
We're searching for an energetic and detail-oriented QA Engineer to join our product development team. This role is perfect for someone with 2-3 years of professional QA experience who is passionate about delivering high-quality, reliable software. You'll play a vital role in the entire software development lifecycle, ensuring our applications meet user needs and function flawlessly before they reach our customers. You'll be instrumental in identifying, documenting, and tracking defects, and contributing to the continuous improvement of our testing processes.
Automation Support: Participate in the development and maintenance of automated test scripts, including Browser Test Automation (Playwright or similar) and API test automation, contributing to the automation framework under guidance
Test Execution: Execute detailed manual test cases (functional, regression, smoke, and exploratory testing) across various platforms (web, mobile, desktop).
Defect Management: Accurately identify, document, and report bugs and inconsistencies using a bug tracking system (e.g., Jira, Linear), and track defects through to resolution.
Test Planning: Assist senior team members in developing and refining comprehensive test plans and test strategies based on product requirements and specifications.
Collaboration: Work closely with Developers, Product Managers, and other stakeholders to understand product changes and ensure quality throughout the development cycle.
Process Improvement: Contribute ideas for improving the QA process, test coverage, and overall product quality.
Experience:2-3 years of hands-on experience in software quality assurance, preferably testing web or desktop applications.
Solid understanding of Software Development Life Cycle (SDLC) and Software Testing Life Cycle (STLC) principles.
Proficiency with SQL for database validation and backend testing.
Experience with test management tools (e.g., TestRail, Zephyr) and bug tracking tools (e.g., Jira, Linear).
Familiarity with at least one API testing tool (e.g., Postman, Swagger) is highly desirable.
Basic knowledge of automation testing concepts and a programming language (like Python or Java) is a plus.
Attributes: Exceptional attention to detail, strong analytical and problem-solving skills, and excellent written and verbal communication.
Education: Bachelor's degree in Computer Science, Engineering, or a related field (or equivalent practical experience).
You have experience or interest in machine learning
You have experience or interest in RevOps, sales and marketing roles or software platform
We conduct a rigorous interview process based on integrity, talent, and drive. We trust our teammates from day one and move quickly to evaluate whether you are fit for the role. The entire interview process typically takes two weeks. Here's what to expect:
A 30 minute Zoom meeting to talk about Joist AI, your background, and answer any questions about the role.
A 30 minute Zoom meeting with another one of our team members to hear more about your experience and how you'd approach working in the role.
A take home project to assess your functional expertise for the role you're applying for.
A 60 minute Zoom call to review your project and answer any outstanding questions.
Full Time
Learn more about Joist AI and their company culture.
Joist AI is a technology company dedicated to revolutionizing the Architecture, Engineering, and Construction (AEC) industry through innovative solutions. Powered by artificial intelligence and machine learning, the platform empowers business development and marketing professionals to effectively manage project data, streamline proposals, and enhance team collaboration. The company's mission is to transform the proposal process for the built world, enabling firms to win more work with less effort. Joist AI addresses the longstanding challenge of inefficient proposal creation, where teams often have to manually search through past proposals and rely on institutional knowledge stored in disparate locations. This fragmented approach leads to content silos, burdensome processes for keeping information current, and the proliferation of duplicated or inconsistent content.
The platform provides a centralized 'forever brain' for AEC firms by ingesting existing proposals and boilerplate copy to create a contextual knowledge graph. This allows users to instantly access historical company and project data. Joist AI's features include advanced search capabilities, automated content generation based on past winning proposals, and a built-in analytics tool to identify and rectify language issues, duplications, and inconsistencies. By automating these repetitive and time-consuming tasks, Joist AI frees up proposal teams to concentrate on more strategic activities, such as developing win strategies and creative solutions. The platform is designed to be a collaborative tool, improving communication and efficiency across teams. It helps firms build proposals significantly faster, improve departmental productivity, increase bid win rates, and minimize risk, ultimately boosting profitability through better strategic alignment.
Learn about the tools and technologies that Joist AI uses to build, market, and sell its products.
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11-50 employees
2021
Rohan Jawali
Employee count: 501-1000
Salary: 656k-875k USD
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