Senior UX Program Manager, Model Behavior and Quality

📍 Job Overview

Job Title: Senior UX Program Manager, Model Behavior and Quality

Company: Google

Location: New York, NY; Mountain View, CA; San Francisco, CA

Job Type: Full-Time

Category: User Experience (UX) Program Management / Operations

Date Posted: June 25, 2026

Experience Level: Mid-Senior Level (6+ years)

Remote Status: On-site

🚀 Role Summary

• Drive and define operational processes for Model UX to ensure extreme clarity, team efficiency, and quality.

• Oversee UX programs from initiation through to completion, aligning with broader organizational goals and ensuring smooth transitions between project phases.

• Serve as a central collaborator, connecting UX with Engineering and Product Management partners across Google to build strong relationships and manage interdependencies.

• Identify and address blockers in design workflows and operational inefficiencies within an ambiguous environment.

• Drive quarterly planning and resource management/allocation for the team in close collaboration with cross-functional partners.

📝 Enhancement Note: This role is positioned within Google's highly competitive and innovative UX domain, specifically focusing on the critical area of AI model behavior and quality. The "Senior" title, coupled with the 6+ years of experience requirement and the emphasis on "operationalizing programs from 0 to 1," indicates a need for a candidate with a proven track record of building and scaling processes in complex, ambiguous, and rapidly evolving environments. The core focus on "Model Behavior and Quality" within Google Search suggests a deep dive into AI ethics, user trust, and the user experience of advanced AI interactions.

📈 Primary Responsibilities

• Establish and scale processes, documentation, and learnings for model behavior programs within the UX team.

• Unblock workflows and define priorities in collaboration with partners across multiple teams within Google.

• Plan, organize, and manage UX programs from initiation through to completion, ensuring alignment with strategic objectives.

• Foster strong relationships and manage expectations with UX, Engineering, and Product Management partners to ensure interdependencies are understood and planned.

• Proactively identify and resolve operational inefficiencies and design workflow blockers to maintain program momentum.

• Drive quarterly planning cycles and manage resource allocation for the UX team, coordinating with cross-functional stakeholders.

• Contribute to defining the standard for helpful and trustworthy AI interactions in Google Search.

• Ensure every AI interaction feels distinctively valuable by relentlessly focusing on quality.

📝 Enhancement Note: The responsibilities highlight a blend of strategic program definition and tactical execution. The emphasis on "establishing and scaling processes" and "unblocking workflows" points to a need for a candidate who can build foundational operational frameworks for new AI initiatives. The requirement to collaborate across UX, Engineering, and Product Management signifies the need for strong cross-functional leadership and communication skills, crucial for navigating complex product development lifecycles within a large organization like Google.

🎓 Skills & Qualifications

Education:

• Bachelor’s degree or equivalent practical experience. Experience:

• Minimum of 6 years of program management experience within content design, design, or UX organizations.

• Demonstrated experience with UX-related projects, UX content strategy, design, user research, or user-centered development tools and methodologies. Required Skills:

• Program Management: Proven ability to manage complex, cross-functional programs from initiation to completion.

• UX & Design Acumen: Deep understanding of UX principles, design workflows, and user-centered development methodologies.

• Content Strategy: Experience with UX content strategy and its impact on user experience.

• User Research: Familiarity with user research methodologies and integrating insights into program planning.

• Cross-functional Collaboration: Ability to effectively partner with Engineering, Product Management, and other UX disciplines.

• Ambiguity Navigation: Demonstrated success in thriving and driving outcomes in ambiguous and fast-paced environments.

• Process Improvement: Experience in establishing and scaling processes, documentation, and learnings.

Preferred Skills:

• Large Language Models (LLMs): Experience working with LLMs, designing agentic experiences, or model training.

• Product Development Lifecycle: In-depth understanding of the end-to-end product development lifecycle.

• Data Analysis & Insights: Ability to analyze data and leverage insights to drive strategic decisions and program direction.

• Risk Management: Experience identifying, assessing, and managing operational, product, or team health risks.

• Content Design Background: A background in content design or significant experience working with content design teams.

• Operationalization (0 to 1): Proven ability to operationalize programs and processes from inception to maturity.

📝 Enhancement Note: The distinction between minimum and preferred qualifications suggests that while core program management within UX is essential, experience with emerging AI technologies like LLMs and agentic experiences will be a significant differentiator. The emphasis on "operationalizing programs from 0 to 1" and thriving in ambiguity points to a need for proactive, entrepreneurial individuals who can build structure where none exists.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• Process Design & Optimization: Examples demonstrating the design, implementation, and scaling of operational processes within UX or product development contexts. Showcase how you've improved team efficiency, clarity, and quality.

• Program Management Case Studies: Detailed case studies of complex UX programs managed end-to-end, highlighting planning, milestone definition, risk assessment, and successful delivery against organizational goals.

• Cross-functional Collaboration Frameworks: Evidence of frameworks or strategies used to effectively collaborate with Engineering, Product Management, and other stakeholders, managing interdependencies and driving alignment.

• Ambiguity & Problem-Solving: Examples where you successfully navigated ambiguity, identified and resolved blockers (workflow or operational), and maintained program momentum.

Process Documentation:

• Workflow Design & Optimization: Showcase experience in documenting and optimizing complex workflows, particularly those related to design, content, or AI model development.

• Implementation & Automation: Examples of implementing new processes or leveraging tools to automate tasks and improve operational efficiency within a UX or product team.

• Measurement & Performance Analysis: Demonstrate how you measure the effectiveness of processes and programs, using data to identify areas for improvement and report on outcomes.

📝 Enhancement Note: For a role like this, a portfolio is crucial for demonstrating practical application of program management principles within a UX and AI context. Candidates should be prepared to articulate their process for building operational frameworks, managing cross-functional dependencies, and driving clarity in complex, AI-driven projects. Quantifiable results and clear articulation of impact will be key.

💵 Compensation & Benefits

Salary Range:

• US: $159,000 - $231,000 USD per year. Benefits:

• 15% Bonus Target

• Equity

• Comprehensive Benefits Package (details available via Google's benefits portal) Working Hours:

• Standard full-time work hours, typically 40 hours per week, with potential for flexibility depending on project needs and team agreements.

📝 Enhancement Note: The provided salary range aligns with senior-level program management roles at major tech companies in high-cost-of-living areas like New York and the Bay Area. The inclusion of a bonus target and equity indicates a performance-driven compensation structure common in the tech industry, rewarding successful program delivery and contribution to company growth. The "On-site" designation suggests a typical 5-day-a-week office presence, though specific team norms may allow for some minor flexibility.

🎯 Team & Company Context

🏢 Company Culture

Industry: Technology (Internet Services & Software)

Company Size: Large (10,000+ employees)

Founded: 1998. Google is a global technology leader known for its search engine, cloud computing services, and a wide array of digital products and services. The company's culture emphasizes innovation, user focus, and data-driven decision-making.

Team Structure:

• Model Behavior Trust and Quality UX Team: This team is a specialized unit within Google Search focused on ensuring AI interactions are helpful, trustworthy, and high-quality. The structure likely involves close collaboration with AI/ML engineers, product managers, and other UX disciplines.

• Reporting Structure: As a Senior UX Program Manager, you would likely report to a Director or Senior Manager of UX Operations or Program Management.

• Cross-functional Collaboration: Expect extensive collaboration with Engineering teams (especially those working on Large Language Models), Product Management, UX Research, UX Design, and potentially Legal and Policy teams to ensure responsible AI development.

Methodology:

• User-Centered Design: Google's core philosophy, "Focus on the user and all else will follow," is deeply embedded. All operations and program management efforts will be geared towards enhancing the user experience.

• Data-Driven Decision Making: Programs and processes will be informed by rigorous data analysis, user feedback, and performance metrics.

• Agile & Iterative Development: While not explicitly stated, large-scale product development at Google often involves agile methodologies, requiring adaptability and continuous iteration.

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

📝 Enhancement Note: Working at Google means operating within a highly structured yet innovative environment. The company's scale presents opportunities for massive impact, but also requires adeptness in navigating complex organizational structures and processes. The focus on "Model Behavior and Quality" within Search indicates a strategic priority for Google, meaning this team and role will likely have significant visibility and resources.

📈 Career & Growth Analysis

Operations Career Level: Senior Program Manager. This level signifies a transition from executing programs to defining and scaling operational frameworks. It requires strategic thinking, leadership in ambiguous situations, and the ability to influence cross-functional teams. The role is pivotal in building the operational backbone for cutting-edge AI initiatives.

Reporting Structure: You will report to a leadership figure within the UX organization, likely a Director or Senior Manager overseeing UX Operations or Program Management. This position requires strong alignment with leadership priorities and the ability to translate strategic goals into actionable operational plans.

Operations Impact: The impact of this role is substantial, directly influencing the quality, trustworthiness, and helpfulness of AI interactions within Google Search, a product used by billions globally. By establishing robust operational processes for model behavior and quality, you will enable the team to deliver industry-leading AI experiences, thereby enhancing user trust and satisfaction.

Growth Opportunities:

• Specialization in AI/ML UX: Deepen expertise in the unique challenges and opportunities of managing programs for AI-driven user experiences, particularly with LLMs.

• Leadership in Operational Frameworks: Grow into a role where you define and lead large-scale operational strategies for critical product areas.

• Cross-functional Influence: Expand influence across Product, Engineering, and Research leadership, becoming a key strategic partner.

• Mentorship: Opportunity to mentor junior program managers and contribute to the development of UX Operations best practices within Google.

📝 Enhancement Note: This role offers a significant opportunity for professionals looking to specialize in the burgeoning field of AI/ML UX operations. The "Senior" title and the focus on building processes "from 0 to 1" indicate a career path that emphasizes building and scaling, which can lead to leadership roles in program management, operations, or even product strategy within AI-focused teams.

🌐 Work Environment

Office Type: Large, modern office spaces designed for collaboration and innovation. Google offices typically feature amenities supporting employee well-being and productivity.

Office Location(s): New York, NY; Mountain View, CA; San Francisco, CA. These are major tech hubs offering vibrant professional environments.

Workspace Context:

• Collaborative Spaces: Access to meeting rooms, project areas, and open-plan spaces designed to foster teamwork and idea exchange.

• Tools & Technology: State-of-the-art technology and tools will be available to support program management, data analysis, and cross-functional communication.

• Team Interaction: Frequent opportunities for interaction with a diverse, highly skilled team, including UX designers, researchers, engineers, and product managers.

Work Schedule: The role is designated as "On-site," implying a strong expectation for regular office attendance. While Google often offers some flexibility, the nature of coordinating complex, cross-functional programs, especially in an AI-first portfolio, typically requires consistent in-person collaboration. Standard business hours will apply, with potential for extended hours during critical project phases.

📝 Enhancement Note: The on-site requirement at Google's major campuses suggests an environment rich in resources and opportunities for spontaneous collaboration. Candidates should be prepared for a dynamic, fast-paced office culture that values in-person interaction for driving innovation and problem-solving.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening: A recruiter or hiring manager will review your application and may conduct a brief phone screen to assess basic qualifications and fit.

• Hiring Committee Review: Applications are often reviewed by a hiring committee to ensure a standardized and fair evaluation process.

• Interviews (Multiple Rounds): Expect a series of interviews, which may include:

  • Program Management Skills: Questions assessing your experience in planning, execution, risk management, and stakeholder management.
  • Behavioral Questions: Situational questions designed to understand how you handle ambiguity, solve problems, lead teams, and collaborate cross-functionally.
  • Technical/Domain Knowledge: Questions related to UX principles, AI/LLMs, product development lifecycle, and operationalizing processes.
  • Case Study/Problem-Solving Exercise: You may be given a hypothetical scenario or a real-world problem to analyze and propose solutions for, demonstrating your strategic thinking and operational planning abilities.
  • Hiring Manager Interview: A deeper dive into your experience, career aspirations, and fit with the team and company culture.

• Final Decision: The hiring committee typically makes the final hiring decision based on feedback from all interviewers.

Portfolio Review Tips:

• Focus on Impact: Clearly articulate the business and user impact of your programs using quantifiable metrics (e.g., efficiency gains, quality improvements, risk reduction).

• Showcase Process Building: Highlight examples where you designed, implemented, and scaled operational processes, especially in ambiguous or new areas like AI/LLMs.

• Demonstrate Cross-functional Leadership: Provide examples of how you successfully managed dependencies and aligned diverse teams (UX, Eng, PM).

• Structure for Clarity: Organize your portfolio logically, perhaps by program type or skill area, with clear summaries and takeaways for each project.

• Address Ambiguity: Be prepared to discuss how you navigated uncertainty and drove progress when clear paths were not defined.

Challenge Preparation:

• Understand Google's UX Philosophy: Familiarize yourself with Google's user-centric approach and its implications for AI development.

• AI/LLM Awareness: Brush up on current trends and challenges in AI model behavior, quality, and responsible AI.

• Operational Frameworks: Think about how you would approach building operational processes for a new AI initiative from scratch ("0 to 1").

• Stakeholder Management: Prepare examples of how you manage conflicting priorities and communicate effectively with senior leaders and cross-functional partners.

📝 Enhancement Note: Google's interview process is known for its rigor and focus on assessing core competencies. For this role, expect a strong emphasis on program management fundamentals, problem-solving, and the ability to operate effectively in a complex, AI-driven environment. A well-curated portfolio that demonstrates tangible impact and process-building capabilities will be critical.

🛠 Tools & Technology Stack

Primary Tools:

• Program Management Software: Google likely uses internal tools that are analogous to industry standards like Asana, Jira, or Monday.com for project tracking, task management, and workflow visualization.

• Collaboration Suites: Google Workspace (Docs, Sheets, Slides, Meet, Chat) will be fundamental for documentation, communication, and real-time collaboration.

• Documentation Platforms: Confluence or internal wiki-like systems for process documentation, knowledge sharing, and program overviews.

Analytics & Reporting:

• Internal Analytics Tools: Google develops sophisticated internal tools for data analysis, performance tracking, and dashboard creation. Familiarity with data analysis principles is key.

• Spreadsheet Software: Advanced proficiency in Google Sheets or Excel for data manipulation, analysis, and reporting.

• Data Visualization Tools: While Google has proprietary tools, understanding principles of data visualization for reporting to stakeholders is important.

CRM & Automation:

• While not a direct CRM role, understanding how user data flows and impacts UX and AI models is crucial. Familiarity with data pipelines and integration concepts may be beneficial.

• Workflow Automation: Experience with identifying opportunities for and implementing workflow automation to improve efficiency in program management tasks.

📝 Enhancement Note: While specific internal tools are proprietary, candidates should highlight experience with industry-standard tools that demonstrate equivalent capabilities. The ability to learn and adapt to new internal systems quickly is a key expectation at Google. A strong foundation in data analysis and process automation principles will be highly valued.

👥 Team Culture & Values

Operations Values:

• User Focus: Every decision and process should ultimately serve to improve the user experience and build trust.

• Data-Driven: Rigorous analysis and data insights are paramount for decision-making and process optimization.

• Efficiency & Scalability: Processes must be designed for maximum efficiency and the ability to scale across a global user base.

• Collaboration & Transparency: Open communication and collaboration across teams are essential for success.

• Innovation & Adaptability: A willingness to experiment, learn, and adapt to new technologies and challenges, especially in the AI space.

Collaboration Style:

• Proactive Partnership: Actively engaging with Engineering, Product Management, and other UX disciplines to anticipate needs and align efforts.

• Structured Communication: Utilizing clear documentation, regular check-ins, and structured meetings to manage complex projects and ensure alignment.

• Feedback-Driven: Cultivating an environment where constructive feedback is shared and incorporated for continuous improvement of processes and products.

• Objective-Oriented: Focusing on shared goals and driving toward measurable outcomes that benefit the user and the business.

📝 Enhancement Note: Google's culture emphasizes a blend of individual contribution and collaborative effort. For this role, demonstrating an ability to foster strong working relationships across diverse teams, while maintaining a clear focus on operational excellence and user impact, will be key to fitting into the team's collaborative style.

⚡ Challenges & Growth Opportunities

Challenges:

• Navigating Ambiguity in AI: The rapid evolution of AI and LLMs means processes and goals may shift frequently. Adapting to this dynamic landscape will be a primary challenge.

• Scaling Novel Processes: Establishing and scaling operational processes for entirely new AI features or models ("0 to 1") requires significant upfront effort and strategic foresight.

• Cross-Functional Alignment: Ensuring seamless collaboration and alignment across numerous teams (UX, Eng, PM, Research, Legal) with potentially competing priorities.

• Defining "Quality" and "Trust" in AI: Operationalizing abstract concepts like model behavior quality and user trust into measurable processes and outcomes.

Learning & Development Opportunities:

• Deep Dive into AI/ML: Gain unparalleled exposure to cutting-edge AI research and development in Large Language Models.

• Program Scaling Expertise: Develop advanced skills in scaling complex operational programs within a global technology leader.

• Industry Best Practices: Contribute to and learn from Google's internal best practices for UX operations in AI-driven product development.

• Leadership Development: Opportunities to lead critical initiatives and influence strategic direction, paving the way for future leadership roles.

📝 Enhancement Note: The challenges in this role are directly tied to the forefront of AI development. Success will require not only strong program management skills but also a proactive approach to learning and adapting to new technological paradigms. The growth opportunities are exceptional for those interested in shaping the future of AI user experiences.

💡 Interview Preparation

Strategy Questions:

• "Describe a time you had to operationalize a program from 0 to 1. What was your process, what were the key challenges, and what was the outcome?" (Focus on your structured approach, problem-solving, and results.)

• "How would you ensure alignment and manage dependencies between UX, Engineering, and Product Management on a complex AI project with evolving requirements?" (Highlight your communication strategies, risk mitigation, and stakeholder management skills.)

• "Imagine you've identified significant operational inefficiencies in a UX workflow. How would you diagnose the problem, propose a solution, and implement it across multiple teams?" (Showcase your analytical skills, process design thinking, and change management approach.) Company & Culture Questions:

• "What interests you about Google's approach to AI and user experience, particularly in Search?" (Research Google's AI principles, user-centricity, and recent Search innovations.)

• "How do you see the 'Model Behavior and Quality' team contributing to Google's mission?" (Connect your role to broader company goals and user impact.)

• "Describe a situation where you had to manage conflicting priorities or stakeholder expectations. How did you resolve it?" (Demonstrate your negotiation and communication skills.) Portfolio Presentation Strategy:

• Quantify Impact: For each case study, clearly state the problem, your solution, and the measurable results (e.g., "Reduced process time by X%," "Improved user satisfaction scores by Y," "Mitigated Z risk").

• Showcase Process Ownership: Detail the specific steps you took to design, implement, and iterate on processes. Use diagrams or flowcharts if helpful.

• Highlight Collaboration: Explain how you engaged with different teams, managed their input, and ensured buy-in.

• Address Ambiguity: Be prepared to discuss how you handled uncertainty, made decisions with incomplete information, and adapted your plans as needed.

📝 Enhancement Note: Preparation should focus on demonstrating not just what you've done, but how you've done it, emphasizing your strategic thinking, operational rigor, and ability to lead in complex, evolving environments. Be ready to draw parallels between your past experiences and the specific challenges of managing UX programs for AI models at Google.

📌 Application Steps

To apply for this operations position:

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

• Tailor your resume: Emphasize your experience in program management, UX operations, working with technical teams (Engineering, Product Management), and any experience with AI, LLMs, or complex product lifecycles. Use keywords from the job description.

• Prepare your portfolio: Curate 2-3 strong case studies that showcase your ability to design, implement, and scale operational processes, manage cross-functional programs, and drive impact in ambiguous environments. Be ready to present these clearly and concisely.

• Research Google's AI & UX: Familiarize yourself with Google's approach to user experience, responsible AI, and recent developments in Google Search. Understand their core values and how they apply to this role.

• Practice interview questions: Prepare answers for common program management, behavioral, and situational questions, focusing on STAR method (Situation, Task, Action, Result) and demonstrating your problem-solving and leadership capabilities.

⚠️ 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.

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