Technical Program Manager AI-Powered Android Test Automation

Job Requirements

At Quest Global, it's not just what we do but how and why we do it that makes us different. With over 25 years as an engineering services provider, we believe in the power of doing things differently to make the impossible possible. Our people are driven by the desire to make the world a better place—to make a positive difference that contributes to a brighter future. We bring together technologies and industries, alongside the contributions of diverse individuals who are empowered by an intentional workplace culture, to solve problems better and faster.

Role Overview

We are looking for a highly technical Technical Program Manager (TPM) to lead the development and execution of a next-generation AI-driven Android Test Automation Platform. The platform will leverage AI agents, LLMs, computer vision, and autonomous testing techniques to improve test creation, execution, maintenance, and defect identification for Android applications.

The TPM will work closely with Engineering, QA, Product, AI/ML, DevOps, and customer stakeholders to deliver a scalable automation solution. This is a hands-on leadership role requiring both strong program management capabilities and sufficient technical depth to engage in architecture discussions and guide engineering decisions.

Key Responsibilities:-

Program Leadership

• Own end-to-end delivery of the AI-powered test automation program.
• Define roadmap, milestones, dependencies, risks, and release plans.
• Drive execution across distributed engineering teams.
• Manage stakeholder communication and executive reporting.
  
  

Technical Leadership

• Understand Android application architecture and mobile testing ecosystems.
• Facilitate architecture discussions involving:
• AI Agents
• Generative AI/LLMs
• Computer Vision-based testing
• Autonomous test generation
• Test orchestration platforms
• Cloud device testing environments
• Drive technical decision-making and tradeoff analysis.
  
  

AI/ML Program Management

• Collaborate with AI engineers and data scientists to:
• Define agent workflows
• Identify AI use cases for testing
• Measure model effectiveness
• Improve automation coverage through AI
• Establish KPIs for:
• Test generation accuracy
• Defect detection effectiveness
• Test maintenance reduction
• Productivity gains
  
  

Delivery Governance

• Manage Agile execution.
• Track feature readiness and quality metrics.
• Drive issue resolution and dependency management.
• Ensure timely deliveries and customer commitments.
  
  

Customer Engagement

• Gather customer requirements.
• Translate business problems into technical solutions.
• Present roadmaps, demos, and progress updates.
• Manage escalations and delivery commitments.
  
  

Required Qualifications:-

Experience

• 10+ years in software engineering, QA automation, program management, or related fields.
• 5+ years as TPM, Engineering Manager, Technical Lead, or Program Manager.
• Experience delivering large-scale software products.
• Experience managing cross-functional engineering programs.
  
  

Technical Skills

• Strong understanding of:
• Android platform
• Mobile application lifecycle
• Test automation frameworks
• CI/CD pipelines
• Cloud-native development
• Experience with tools such as:
• Appium
• Espresso
• UIAutomator
• Selenium
• BrowserStack
• Firebase Test Lab
  
  

AI/GenAI Knowledge

Candidate Should Have Practical Exposure To

• LLM-based workflows
• AI Agent architectures
• Prompt Engineering
• RAG concepts
• Agent orchestration frameworks
• Evaluation of AI systems
• Use of GenAI for software engineering productivity
  
  

Experience With Any Of The Following Is Highly Desirable

• OpenAI
• Azure OpenAI
• Gemini
• Claude
• LangChain
• LangGraph
• CrewAI
• AutoGen
  
  

Preferred Qualifications

• Prior experience building AI-assisted test automation products.
• Experience in Android platform or framework development.
• Exposure to Computer Vision and UI understanding models.
• Knowledge of Software Development Life Cycle (SDLC) and Quality Engineering.
• Experience with cloud platforms:
• Azure
• AWS
• GCP
• Familiarity with:
• Python
• Java/Kotlin
• REST APIs
• Microservices
  
  

Key Success Metrics

• Automation coverage increase (%)
• Reduction in test script maintenance effort
• AI-generated test adoption rate
• Defect leakage reduction
• Release cycle time improvement
• Customer satisfaction
• Program delivery predictability
  
  

Ideal Candidate Profile

The Ideal Candidate Is

• A TPM who can challenge architects and engineers technically.
• Comfortable discussing AI agents, LLM workflows, and autonomous systems.
• Experienced in mobile testing and automation platforms.
• Strong in stakeholder management and delivery governance.
• Able to translate emerging AI capabilities into tangible engineering outcomes.
  
  

We are known for our extraordinary people who make the impossible possible every day. Questians are driven by hunger, humility, and aspiration. We believe that our company culture is the key to our ability to make a true difference in every industry we reach. Our teams regularly invest time and dedicated effort into internal culture work, ensuring that all voices are heard.

We wholeheartedly believe in the diversity of thought that comes with fostering a culture rooted in respect, where everyone belongs, is valued, and feels inspired to share their ideas. We know embracing our unique differences makes us better, and that solving the worlds hardest engineering problems requires diverse ideas, perspectives, and backgrounds. We shine the brightest when we tap into the many dimensions that thrive across over 21,000 difference-makers in our workplace.