Alē AI

Ale (ale.ai) is an AI-powered virtual personal assistant that integrates into business operations. Ale helps automate tasks, streamline workflows, and enhance communication, all customized to the team’s needs. Built with a focus on real-time AI capabilities, Ale interacts via voice and text to manage schedules, calls, emails, and more.
 

Our Environment and Challenges:

• Real-Time AI and Audio: Ensuring Ale’s voice-based features — speech recognition (STT) and text-to-speech (TTS) — function reliably in live, user-facing situations.

• Multimodal Interactions: Testing integration points spanning voice, chat interfaces, scheduling tools, and backend APIs.
  
  Job Summary:
  We are seeking a Junior Manual QA Engineer to join our growing team. As a Junior MQA, you will be hands-on in designing, executing, and maintaining test strategies that ensure Ale’s quality across an evolving suite of voice-enabled AI functionalities. You will partner closely with product managers, developers, designers, and AI specialists, ensuring every release meets the high standards of reliability, usability, and performance.
   

  Key Responsibilities:

• Test Strategy & Planning: Develop test plans and test cases for new features, regression cycles, focusing on real-time AI interactions and voice-based functionalities.
• Functional and Exploratory Testing: Perform manual testing of voice flows to validate functional correctness, user experience, and system resilience.
• Voice & Audio Quality Validation: Assess the performance of STT/TTS features, verifying transcription accuracy, latency, and user experience in noisy or challenging conditions.
• Integration & End-to-End Testing: Validate seamless operation across the full pipeline AI/ML models, telephony (Twilio).
• Bug Reporting & Tracking: Identify, document, and track defects with reproduction steps, severity/priority, and impact assessment, following best practices in bug lifecycle management.
• Collaboration: Work closely with engineers, product managers, and designers to clarify requirements, provide feedback on designs, and suggest improvements to enhance quality and user satisfaction.

• Quality Metrics & Reporting: Contribute to QA dashboards, coverage reports, and release readiness indicators. Advocate for data-driven quality improvements.
   

  Compensation and Benefits:

• Compensation: Flat monthly rate (discussed during the interview process)
• 21 vacation days, 5 sick leave days, and 11 holidays annually.
  
  What to Expect in This Role:
• Manual testing execution of regression tests: performing daily regression testing routine 
• Acceptance testing: performing QA on newly implemented features.   
• Influence on QA Approaches: Contribute to establishing test frameworks and standards for AI-driven features, complex integration workflows, and voice-based user interactions.
• Cross-Functional Collaboration: Partner with backend developers, speech engineers, and product managers to ensure robust end-to-end quality coverage.
  
  Preferred Qualifications:
• A decent level of English Speaking skills is a must, since all interactions with the product happens via voice conversation and the primary language for MVP phase is English.
• QA Methodologies & Tools: Proven knowledge in manual testing within Agile environments, familiarity with test case management tools (e.g., Testomat, and issue-tracking systems (e.g., Jira).
• Problem-Solving Mindset: Analytical and detail-oriented, with the ability to investigate complex issues, propose improvements, and collaborate on root-cause analysis.

• Collaboration & Communication: Strong communication skills, enabling effective feedback loops and alignment with cross-functional stakeholders.
   

  Nice to Have:

• Experience testing audio-related applications, speech recognition systems, or voice-based products. Understanding of audio quality metrics is a plus.
• Familiarity with testing AI/ML models’ outputs or conversational AI workflows.
• Experience with telephony testing (e.g., Twilio), real-time data streaming, or voice biometrics.
  
  Why Join Us?
• Cutting-Edge Domain: Contribute to quality assurance for a product leveraging advanced AI, STT, TTS, and conversational models.
• Growth Opportunities: Shape best practices and develop specialized testing expertise in the rapidly evolving world of voice-driven AI.

• Impact & Innovation: Be at the forefront of ensuring a high-quality user experience for a next-generation AI assistant.

  
  Interview Process:

• Test Case Review Assignment: A brief take-home exercise to evaluate your test planning and scenario design capabilities.
• Technical Interview: a discussion focused on: your experience, testing methodologies, and approach to complex, voice-based scenarios.

• Product and Strategy Interview: Conversation with the PM and CEO to ensure alignment with product vision, user experience priorities, and long-term strategy.

   

  Assignment:

• The assignment will involve creating a brief test plan and a set of test cases focused on verifying Ale’s ability to accurately discuss existing calendar events through voice queries. You’ll outline your testing approach, prepare test data conditions, and detail specific test scenarios covering various timeframes, event details, and error handling.
  
  Interview Topics:
• Core QA Foundations: Requirements analysis, boundary value testing, equivalence partitioning, regression testing, manual test design, exploratory testing, traceability, and prioritization of test cases.
• Specialized Testing Areas: Audio and voice testing for STT/TTS accuracy and latency, and understanding asynchronous processing with real-time, event-driven systems. Addressing unique considerations for voice/AI products, including accuracy, latency, and integrations with telephony, calendars, and emails.
• Process and Methodology: Familiarity with SDLC and Agile frameworks (Scrum/Kanban), sprint activities (planning, grooming, stand-ups, retrospectives), and effective backlog management via JIRA.
• Collaboration and Communication: Effective cross-functional communication with developers, PMs, and designers, conducting UAT, managing release readiness, and delivering clear test results and feedback.

• Metrics and Continuous Improvement: Tracking quality metrics like test coverage and defect density to continuously refine QA processes.

   

  Next Steps:
  If this opportunity resonates with your career goals, we’d love to hear from you. Please consider the following:

• Does this role align with your skills and interests in manual testing for complex, AI-driven systems?

• Do you have relevant QA experience in related domains, or are you eager to grow in this area?
  
  Please rate your experience, on a scale of 1 to 5 below:

  1: Little to no experience or skill

  3: Moderate proficiency

  5: Expert-level proficiency

   

  We look forward to hearing your thoughts and potentially welcoming you to the Ale team!