Manager II, Technical Program Management - Quality Assurance

About the Role

At Uber, we reimagine the way the world moves for the better. There are several operations and technologies that enable this mission and Uber AI Solutions (aka Global Scaled Solutions) organization leads many of those capabilities such as data annotation for AI/ML innovation, app testing, localization/internationalization, map editing, data analytics, engineering and more. We combine technology and human intelligence optimally to run scaled programs.

At Uber AI Solutions, we deliver a sophisticated gen Ai driven automated quality assurance program for various Uber businesses, leveraging our deep technical capabilities augmented by expert tersters to design and deliver automated and manual testing capabilities. Our goal is to ensure magical user experience for everyone, everywhere and on any device or platform Uber is available on. . We are also extending our impact and reach beyond Uber - our Automated and manual quality assurance solutions coupled with Uber's strength of building a platform for flexible work will enable enterprises world-wide to provide seamless magical user experience in all their offering to their customers. While we do this, we look forward to creating flexible earnings opportunities through online tasks for millions of people across the world.

1. Develop test plans based on Product Excellence/test strategies. Lead test plan reviews with developers and other stakeholders across teams.
2. Define the test framework, test preconditions, and other test control and reporting functions to enable others to test functionality.
3. Drive opportunities and lead efforts to improve existing test infrastructure or create new test infrastructure to increase efficiency and productivity in test case development, scheduling, or deployment.
4. Team management- develop, coach and mentor the existing technical and non-technical program manager team to build and scale the in-house talent for quality assurance.
5. Stakeholder management - represent the automated quality assurance and data AI capabilities at senior leadership level interactions and forums, evangelise our capabilities, drive sponsorship and backing for initiatives
6. Collaboration with Quality Assurance delivery leadership -Collaborate closely with leadership of Uber AI Solutions Quality Assurance business strategy and deliver team to lead multiple quality assurance, Gen AI programs for our internal and external clients
7. Best practices - continually improve ways of work, enhance delivery maturity, elevate governance and impact
8. Tech platform capabilities , design Test system framework, and roadmap - collaborate with our Product and Engineering teams to develop Quality assurance framework, tools, and define roadmap for development, ; work closely with them to achieve the roadmap, drive platform adoption
9. Innovation and thought leadership - demonstrate deep understanding and expertise of coding and quality assurance related AI including agentic AI (e.g., opportunity identification, model performance benchmarking)
10. Drive opportunities and lead efforts to improve existing test infrastructure or create new test infrastructure to increase efficiency and productivity in test case development, scheduling, or deployment.

1. Bachelor of Science or Engineering in Computer science, Computer engineering or comparable fields.
2. 10+ years of Hands-on experience in Software and or test automation development, or ML Engineering with emphasis on not only usign QUA tools such as Appium. Testim, Mabl but also building customized in-house tools.
3. Solid experience in Eng and client facing Quality assurance or solution development with senior engineers or product managers as stakeholders at leadership levels
4. Familiarity with managing vendors, or experience working in a client-vendor setup
5. Strong ability to communicate, bring clarity of thought in messaging for senior management, immediate and broader teams
6. Strong collaboration skills and abilities - working across silos and team structures to drive impact effectively
7. Proven experience in managing, mentoring and coaching team members to build scale and efficiency in the organization

1. Master degree in computer engineering, Computer science, or MBA
2. Solid (developer level) proficiency in scalable system architectures, Python, Ruby or any other prominent programming language is preferred.
3. Track record of driving innovation and thought leadership in Automated quality assurance, Gen AI, and ML.
4. Experience and Ability to work in a global organization across locations and time zones