Technical Program Manager, Engineering Excellence, UI Automation

📍 Job Overview

Job Title: Technical Program Manager, Engineering Excellence, UI Automation

Company: Google

Location: Bengaluru, Karnataka, India

Job Type: Full-time

Category: Engineering Program Management / Operations

Date Posted: 2026-04-24

Experience Level: 2-5 Years

Remote Status: On-site

🚀 Role Summary

• Drive engineering excellence initiatives focused on UI automation and test processes within Google's Platforms and Devices division.

• Manage complex, multi-disciplinary technical programs from inception through post-implementation launch phases.

• Act as a key liaison between Test Engineering, broader Engineering teams, Program Managers, UX, and Support stakeholders.

• Leverage AI/ML technologies to independently manage and improve program outcomes, ensuring standardization and optimization of test processes.

• Coordinate end-to-end test development activities and dependencies across internal and external teams, ensuring efficient and scalable test execution.

📝 Enhancement Note: This role, while titled Technical Program Manager, significantly interfaces with and drives operational excellence within testing and engineering processes, aligning it closely with Revenue Operations and GTM enablement through robust product quality and efficient release cycles. The focus on UI automation and engineering excellence implies a strong connection to the reliability and scalability of products that directly impact user experience and, consequently, customer acquisition and retention.

📈 Primary Responsibilities

• Lead and manage technical programs focused on UI automation, test process standardization, optimization, and transformation across various teams and verticals.

• Serve as the primary communication channel between Test Engineering teams, broader Engineering, Program Managers, UX, and Support, ensuring seamless information flow and alignment.

• Drive test program management activities throughout the entire product lifecycle: analysis, design, development, implementation, and post-implementation launch phases.

• Engage with engineering leaders, Product Management, UX, and fellow Technical Program Managers to streamline processes, simplify test execution, and enhance tooling efficiencies.

• Coordinate comprehensive end-to-end test development activities and manage dependencies across internal Google teams and potential external partners.

• Oversee test programs at scale, managing multiple complex and often ambiguous test initiatives while proactively identifying risks and developing clear, actionable mitigation plans.

• Maintain and co-author critical technical documentation, including product test plans, test processes, and best practices for UI automation and engineering excellence.

• Utilize AI/ML technologies to independently drive improvements across programs and enhance the effectiveness of test strategies.

📝 Enhancement Note: The responsibilities highlight a strong emphasis on process optimization, stakeholder management, and technical leadership, all critical facets of operations roles. The specific mention of "test process standardization, optimization, and transformation" indicates a direct impact on GTM efficiency by improving product quality and release velocity.

🎓 Skills & Qualifications

Education: Bachelor's degree in a technical field (e.g., Computer Science, Engineering, or related) or equivalent practical experience.

Experience: Minimum of 2 years of experience in program management.

Required Skills:

• Proven experience in program management, with a track record of successfully leading complex technical projects.

• Demonstrated ability to manage cross-functional or cross-team projects, fostering collaboration and alignment among diverse stakeholders.

• Experience in testing methodologies and strategies, with a deep understanding of the software development lifecycle.

• Ability to effectively translate test engineering requirements into structured test timelines and actionable plans.

• Excellent ownership and proactive problem-solving skills, with a data-driven approach to identifying and resolving issues.

Preferred Skills:

• Experience managing projects involving AI/ML technologies.

• Familiarity with UI automation frameworks and tools.

• Proficiency in developing and maintaining technical documentation, including test plans and process guides.

• Experience in driving process improvements and standardization initiatives.

• Ability to manage ambiguity and navigate complex project landscapes.

• Deep understanding of Google's internal product development processes and platforms.

📝 Enhancement Note: The preferred qualifications, particularly "Experience in testing" and "Ability to drive test engineering requirements and converting them into test timelines," strongly suggest a role that requires a deep understanding of operational processes within software development, focusing on quality assurance as a critical GTM enabler.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• Showcase a portfolio that demonstrates successful management of complex technical programs, with a clear emphasis on UI automation or test engineering initiatives.

• Include case studies detailing process improvements, standardization efforts, or transformations in testing methodologies that led to measurable efficiency gains or quality enhancements.

• Provide examples of how systems and tools were leveraged to streamline test execution, improve data analysis, or automate workflows.

Process Documentation:

• Demonstrate experience in creating and maintaining comprehensive test plans and technical documentation that clearly outline testing strategies, execution steps, and success criteria for UI automation projects.

• Showcase examples of process optimization efforts, illustrating how you analyzed existing workflows, identified bottlenecks, and implemented improvements to enhance efficiency and effectiveness.

• Provide evidence of contributing to or leading the standardization of test processes across different teams or projects, ensuring consistency and best practices are adopted.

📝 Enhancement Note: For this role, a portfolio is crucial. It should not just list projects but illustrate the process of managing them, especially concerning test automation and engineering excellence. Quantifiable results in terms of efficiency, quality, or reduced cycle times will be highly valued.

💵 Compensation & Benefits

Salary Range: For a Technical Program Manager with 2-5 years of experience in Bengaluru, India, the estimated annual salary range is ₹15,00,000 to ₹28,00,000. This range is based on Google's compensation structure for similar roles in India, considering the cost of living, industry benchmarks for tech roles in Bengaluru, and the specified experience level.

Benefits:

• Comprehensive health, dental, and vision insurance.

• Generous paid time off, including vacation, sick leave, and holidays.

• Retirement savings plans (e.g., provident fund, employee stock purchase plans).

• Parental leave and adoption assistance programs.

• Professional development opportunities, including access to training, conferences, and Google's internal learning resources.

• On-site amenities such as cafeterias, fitness centers, and transportation support.

• Opportunities for global mobility and internal transfers within Google.

Working Hours: Standard full-time work hours are typically 40 hours per week, with flexibility to accommodate project needs and global team collaboration. Core working hours are expected, with potential for extended hours during critical project phases.

📝 Enhancement Note: The salary estimate is based on research of comparable Technical Program Manager roles at major tech companies in Bengaluru, India, factoring in the specified experience level and the demands of a highly technical role at a company like Google. Benefits are standard for large tech organizations and are assumed to be competitive.

🎯 Team & Company Context

🏢 Company Culture

Industry: Technology (Software Platforms, Devices, AI/ML)

Company Size: Large Enterprise (Over 5,000 employees)

Founded: 1998

Team Structure: The role sits within the Platforms and Devices team, a significant division at Google focused on core computing platforms and first-party devices. This team likely comprises numerous sub-teams specializing in different aspects of operating systems, hardware integration, AI/ML applications, and user experience. The Technical Program Manager will operate within this ecosystem, interacting with various engineering, product management, and UX groups.

Methodology: Google is renowned for its data-driven approach to decision-making and continuous improvement. Expect a culture that values rigorous analysis, experimentation, and iterative development. Processes are often highly optimized, with a strong emphasis on automation, efficiency, and scalability. Cross-functional collaboration is fundamental, with clear communication channels and a focus on shared goals.

Company Website: https://www.google.com

📝 Enhancement Note: Google's culture is characterized by innovation, a strong engineering focus, and a commitment to solving complex problems at scale. For an operations-minded individual, this means opportunities to influence processes that impact millions of users globally, with a strong emphasis on data integrity and efficiency.

📈 Career & Growth Analysis

Operations Career Level: This role is positioned as a mid-level Technical Program Manager, requiring a solid foundation in program management principles and practical experience in technical project execution. It's a crucial juncture for professionals looking to deepen their expertise in engineering excellence and specialized areas like UI automation.

Reporting Structure: The Technical Program Manager will likely report to a senior Program Manager or a Director within the Platforms and Devices engineering organization. They will work closely with Engineering Leads, Product Managers, and UX Designers, forming a core project team. Collaboration will extend to other Technical Program Managers and cross-functional partners across different departments.

Operations Impact: The impact of this role is significant. By driving engineering excellence and ensuring robust UI automation and testing processes, the TPM directly contributes to the quality, reliability, and timely release of Google's core platforms and devices. This, in turn, impacts user satisfaction, adoption rates, and the overall success of Google's product ecosystem, indirectly supporting revenue generation and market position.

Growth Opportunities:

• Specialization: Deepen expertise in UI automation, AI/ML applications in testing, or specific platform technologies.

• Leadership: Progress to managing larger, more complex programs, or move into team lead or management roles within the Program Management function.

• Cross-functional Mobility: Transition into Product Management, Engineering Management, or specialized roles within other Google divisions.

• Skill Development: Continuous learning through Google's extensive internal training programs, external conferences, and mentorship opportunities.

📝 Enhancement Note: This role offers a direct path to becoming a subject matter expert in engineering operations for critical Google products. The emphasis on UI automation and engineering excellence provides a strong foundation for future roles in quality assurance leadership, process optimization, or even product strategy within the tech industry.

🌐 Work Environment

Office Type: This is an on-site role at Google's Bengaluru office, designed to foster collaboration, innovation, and team cohesion. The environment is typically open-plan with dedicated collaboration spaces, meeting rooms, and quiet zones.

Office Location(s): Bengaluru, Karnataka, India. Google's offices in Bengaluru are well-equipped, offering convenient access to transportation and amenities.

Workspace Context:

• Collaborative Environment: The workspace is designed to encourage spontaneous interactions and teamwork, crucial for cross-functional program management.

• Tools & Technology: Access to cutting-edge internal tools, robust IT infrastructure, and comprehensive software suites necessary for program management, documentation, and communication.

• Team Interaction: Frequent opportunities to engage with a diverse group of engineers, designers, product managers, and fellow program managers, fostering a dynamic learning environment.

Work Schedule: The standard work schedule is 40 hours per week. While core hours are expected, there's a degree of flexibility to manage project timelines, accommodate global team meetings, and maintain work-life balance. The emphasis is on delivering results and meeting project milestones.

📝 Enhancement Note: The on-site nature of this role is typical for core engineering and program management positions at Google, emphasizing the value placed on in-person collaboration for complex problem-solving and innovation.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening: A recruiter or hiring manager will review applications, focusing on minimum qualifications and relevant experience.

• Technical Phone/Video Interview: Expect interviews with Program Managers or Engineering Leads to assess technical depth, program management skills, and understanding of UI automation/testing concepts.

This stage often includes behavioral questions and scenario-based problem-solving.

• On-site/Virtual On-site Interviews: Multiple interviews covering various aspects:

  • Program Management: Deep dives into your experience managing complex projects, stakeholder management, risk mitigation, and process optimization.
  • Technical Acumen: Assessing your understanding of software development, testing methodologies, UI automation principles, and potentially AI/ML applications.
  • Problem-Solving & Case Studies: You may be presented with hypothetical or real-world scenarios related to engineering excellence or test process challenges.
  • Cross-functional Collaboration: Evaluating your ability to work effectively with diverse teams (Engineering, UX, Product).
  • Cultural Fit: Assessing alignment with Google's values and working style.

• Hiring Committee Review: Your entire application package, including interview feedback, is reviewed by a committee for a final decision.

Portfolio Review Tips:

• Quantify Impact: For each project presented, clearly articulate the problem, your role, the actions taken, and the quantifiable results (e.g., reduction in bug count, faster release cycles, improved test coverage percentage, cost savings from automation).

• Process Focus: Detail the program management processes you employed, including planning, risk management, stakeholder communication, and how you adapted them to the specific context of UI automation and engineering excellence.

• Technical Depth: Be prepared to discuss the technical aspects of your projects, including the tools and technologies used (e.g., specific automation frameworks, CI/CD pipelines, AI/ML models for testing), and the technical challenges overcome.

• Storytelling: Structure your portfolio items as compelling narratives that highlight your problem-solving skills, leadership, and ability to drive positive change.

• Tailor to Google: Where possible, align your examples with Google's scale, complexity, and focus on innovation and engineering excellence.

Challenge Preparation:

• Process Optimization Scenarios: Prepare to discuss how you would approach optimizing a test process, standardizing workflows, or improving the efficiency of a cross-functional team.

• Risk Identification & Mitigation: Practice scenarios where you identify potential risks in a large-scale technical program and outline your mitigation strategy.

• Stakeholder Communication: Be ready to explain how you would communicate complex technical updates or challenges to different audiences, from engineers to executive leadership.

• UI Automation Concepts: Refresh your knowledge of common UI automation frameworks, best practices, and the benefits/challenges of implementing automation at scale.

📝 Enhancement Note: A strong portfolio showcasing tangible results in process improvement, especially related to testing and automation, will be critical for this role. The interview process at Google is rigorous and comprehensive, designed to assess a candidate's technical skills, problem-solving abilities, and cultural fit.

🛠 Tools & Technology Stack

Primary Tools:

• Program Management Software: Proficiency with tools like Jira, Asana, or Google's internal project management systems for task tracking, workflow management, and project scheduling.

• Collaboration Suites: Extensive use of Google Workspace (Docs, Sheets, Slides, Meet, Chat) for documentation, communication, and virtual collaboration.

• Version Control Systems: Familiarity with Git and related workflows for managing code repositories, especially in the context of test automation scripts.

Analytics & Reporting:

• Data Analysis Tools: Experience with tools for analyzing test results, performance metrics, and program effectiveness (e.g., SQL, Python for data analysis, internal Google analytics platforms).

• Dashboarding Tools: Ability to create and interpret dashboards using tools like Tableau, Looker Studio (formerly Google Data Studio), or internal equivalents to visualize program progress and key performance indicators (KPIs).

CRM & Automation:

• CI/CD Tools: Understanding of Continuous Integration/Continuous Deployment pipelines (e.g., Jenkins, GitLab CI, Google Cloud Build) and their role in automating test execution and deployment.

• Test Automation Frameworks: Familiarity with various UI automation frameworks and libraries (e.g., Selenium, Cypress, Playwright, Appium) and their application in building robust test suites.

• AI/ML Platforms: Experience or understanding of how AI/ML technologies are integrated into testing processes for predictive analysis, anomaly detection, or test optimization.

📝 Enhancement Note: While the role is program management, a strong understanding of the tools and technologies involved in UI automation, testing, and CI/CD is essential for effective collaboration and program direction. Google heavily relies on its internal suite of tools, so adaptability to new platforms is key.

👥 Team Culture & Values

Operations Values:

• Excellence & Quality: A deep commitment to delivering high-quality products and processes, with a relentless focus on engineering excellence and robust testing.

• Innovation & Impact: Driving impactful changes through innovative solutions, leveraging technology like AI/ML to solve complex problems at scale.

• Collaboration & Transparency: Fostering an environment of open communication, shared responsibility, and strong collaboration across diverse teams.

• Data-Driven Decision Making: Relying on data and rigorous analysis to inform decisions, measure progress, and drive continuous improvement.

• User Focus: Ensuring all efforts ultimately serve the end-user, building products and experiences that are reliable, efficient, and seamless.

Collaboration Style:

• Cross-functional Integration: Actively building bridges between engineering, product, UX, and support teams to ensure alignment and shared ownership of program goals.

• Process Review Culture: Encouraging constructive feedback and iterative refinement of processes, with an emphasis on learning from both successes and failures.

• Knowledge Sharing: Contributing to a culture where best practices, learnings, and technical insights are openly shared across teams to elevate collective expertise.

📝 Enhancement Note: Google's culture strongly emphasizes a "no-ego" approach to collaboration, where the best idea wins, regardless of who proposes it. For an operations-focused role, this means being open to feedback, advocating for data-backed improvements, and working collaboratively to achieve organizational goals.

⚡ Challenges & Growth Opportunities

Challenges:

• Scale and Complexity: Managing programs at Google's scale presents unique challenges related to coordination, communication, and ensuring consistent quality across vast product ecosystems.

• Ambiguity: Navigating complex and often ambiguous project requirements, requiring strong analytical skills and the ability to define clear paths forward.

• Cross-functional Dependencies: Effectively managing dependencies and aligning priorities across numerous teams with potentially competing objectives.

• Rapid Technological Evolution: Keeping pace with the rapid advancements in AI/ML, UI automation, and software development methodologies to ensure programs remain relevant and effective.

Learning & Development Opportunities:

• Operations Skill Advancement: Opportunities to deepen expertise in program management, test automation strategies, AI/ML applications in engineering, and process optimization.

• Industry Exposure: Access to Google's internal knowledge base, tech talks, and potentially external conferences, providing insights into cutting-edge developments in the tech industry.

• Mentorship & Leadership Development: Programs designed to foster leadership skills, offer mentorship from experienced professionals, and guide career progression within Google's engineering and operations domains.

📝 Enhancement Note: The challenges inherent in this role at Google are significant but also provide unparalleled opportunities for professional growth. By tackling these challenges, individuals can develop highly sought-after skills in managing complex, large-scale technical operations.

💡 Interview Preparation

Strategy Questions:

• Program Strategy: "Describe a time you had to define a program strategy for a complex technical project. What were the key considerations, and how did you ensure alignment with broader organizational goals?" (Prepare with examples of strategic planning, stakeholder buy-in, and how you linked program objectives to business outcomes).

• Cross-functional Collaboration: "How do you foster effective collaboration between engineering, QA, and Product teams when managing a critical release? Provide an example of a challenge you faced and how you overcame it." (Focus on communication strategies, conflict resolution, and building shared ownership).

• Process Problem-Solving: "Imagine a scenario where UI test execution times are significantly increasing, impacting release velocity. How would you diagnose the root cause, and what steps would you take to optimize the process?" (Prepare to discuss diagnostic steps, potential solutions like automation enhancements, parallelization, or test suite optimization).

Company & Culture Questions:

• Google's Engineering Culture: "What aspects of Google's approach to engineering excellence and product development appeal to you, and how do you see yourself contributing to it?" (Research Google's engineering values, focus on innovation, and user-centricity).

• Team Dynamics: "How do you build trust and rapport with new team members, especially those from different functional backgrounds (e.g., engineers, UX designers)?" (Highlight your interpersonal skills, active listening, and ability to bridge functional gaps).

• Measuring Impact: "How do you measure the success of a program focused on engineering excellence or test automation? What KPIs would you track?" (Be prepared to discuss metrics like defect escape rate, test coverage, automation ROI, cycle time reduction, and stakeholder satisfaction).

Portfolio Presentation Strategy:

• Structured Narrative: For each portfolio item, present a clear problem statement, your specific role and actions, the tools/processes used, and the measurable outcomes achieved.

• Focus on Process: Emphasize how you managed the program, not just what was delivered. Detail your planning, risk management, and communication strategies.

• Quantify Everything: Use data and metrics to demonstrate the impact of your work. Quantify improvements in efficiency, quality, cost savings, or time reduction.

• Adapt to the Audience: Be ready to adjust the technical depth of your presentation based on the interviewer's background.

• Showcase Problem-Solving: Highlight instances where you encountered significant challenges and how you creatively and effectively solved them.

📝 Enhancement Note: Interview preparation should focus on articulating your experience through the STAR method (Situation, Task, Action, Result) and demonstrating a deep understanding of program management principles within a technical and operational context, specifically related to quality assurance and engineering efficiency.

📌 Application Steps

To apply for this operations position:

• Submit your application through the Google Careers portal via the provided link.

• Tailor Your Resume: Customize your resume to highlight experience in program management, technical project leadership, UI automation, test engineering, cross-functional collaboration, and process optimization. Use keywords from the job description.

• Curate Your Portfolio: Prepare a concise portfolio showcasing 2-3 key projects that demonstrate your ability to manage complex technical programs, drive engineering excellence, and implement UI automation. Focus on quantifiable results and the processes you employed.

• Practice Interview Responses: Rehearse answers to common behavioral and technical questions using the STAR method. Prepare specific examples that highlight your problem-solving skills, leadership, and ability to manage ambiguity.

• Research Google's Operations: Understand Google's approach to engineering, product development, and quality assurance. Familiarize yourself with their values and how this role contributes to their broader mission.

⚠️ Important Notice: This enhanced job description includes AI-generated insights and operations industry-standard assumptions. All details should be verified directly with the hiring organization before making application decisions.