Global Business Solutions, Customer Experience, UX, Profitability Consultant

📍 Job Overview

Job Title: Global Business Solutions, Customer Experience, UX, Profitability Consultant

Company: Google

Location: Dublin, Ireland

Job Type: Full-time

Category: Revenue Operations / Sales Operations / GTM Strategy

Date Posted: September 01, 2026

Experience Level: 3-5 Years

Remote Status: On-site

🚀 Role Summary

• Drive strategic growth for top-tier clients by delivering high-impact consultations focused on enhancing Customer/User Experience (CX/UX).

• Optimize client operations to reduce operating costs, increase profitability, and deepen investment with Google's advertising solutions.

• Contribute to the strategic design and business planning of Global Business Solutions (GBS) programs, anticipating market evolution and customer expectations.

• Act as a thought leader in CX/UX and emerging Agentic User Experience, building robust internal and external relationships to foster program development and customer support.

📝 Enhancement Note: This role sits within Google's Large Customer Sales (LCS) organization, focusing on strategic partnerships with leading brands and agencies. The "Global Business Solutions" aspect, coupled with CX/UX and profitability consulting, strongly indicates a function that bridges sales enablement, customer success, and strategic GTM initiatives, aligning it closely with Revenue Operations and Sales Operations principles. The emphasis on AI solutions and Agentic User Experience signals a forward-looking role within the evolving digital advertising landscape.

📈 Primary Responsibilities

• Deliver high-impact consultations to LCS customers, partnering with Sales teams to identify and capitalize on growth opportunities.

• Collaborate with Sales to improve Customer/User Experience (CX/UX) for strategic clients, aiming to reduce operating costs, increase customer profitability, and enhance investment with Google.

• Continuously track results, gather feedback, and refine consultative offerings to scale their impact and ensure sustainable competitive advantage.

• Proactively contribute to GBS Program Design and Business Planning by monitoring market evolution, anticipating customer expectations, and influencing value proposition design.

• Serve as a thought leader on CX/UX and Agentic User Experience, particularly in the context of international expansion, building strong internal and external relationships to support customer needs and program development.

• Develop the CX provider ecosystem by identifying and onboarding partners to support a broader range of customer challenges.

📝 Enhancement Note: The responsibilities highlight a blend of direct client advisory, strategic program development, and ecosystem building, which are core to advanced Sales Operations and Revenue Operations functions that support large enterprise sales. The focus on profitability and cost reduction for clients, tied to Google's solutions, directly impacts revenue generation and customer lifetime value.

🎓 Skills & Qualifications

Education: Bachelor's degree or equivalent practical experience.

Experience: Minimum of 3 years of experience in a business technology sales or customer success role, with specific experience in app and web client engagement.

Required Skills:

• Bachelor's degree or equivalent practical experience.

• 3 years of experience in a business technology sales or customer success role.

• Experience working with app and web clients in a UX research, design, consulting, or advisory capacity.

• Proficiency in analyzing quantitative or qualitative data to derive actionable insights.

• Strong understanding of customer experience (CX) and user experience (UX) principles.

• Demonstrated ability to manage relationships and collaborate within complex, matrixed stakeholder structures. Preferred Skills:

• Experience successfully influencing and working with executives, both internally and externally.

• Hands-on experience with website development or UX design, including A/B testing methodologies.

• Knowledge of international business dynamics and adaptability to a dynamic work environment.

• A data-driven mindset with a keen interest in user-facing AI Solutions.

• Proven ability to adapt messaging and presentations to suit the technical level of diverse audiences.

• Familiarity with Google's advertising solutions (Search, YouTube, Measurement).

📝 Enhancement Note: The minimum qualifications point to a foundational understanding of sales/customer success and UX principles. The preferred qualifications emphasize strategic influence, technical acumen in web/UX, and adaptability—all critical for a consultative operations role that drives significant client value and revenue. The mention of AI solutions and Agentic User Experience indicates a need for forward-thinking and innovative capabilities.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• Demonstrate experience in developing and implementing consultative frameworks for CX/UX improvement.

• Showcase case studies of how data analysis (quantitative/qualitative) led to tangible improvements in client profitability or operational efficiency.

• Highlight experience with A/B testing or other experimental design methodologies used to optimize web/app user journeys.

• Provide examples of how you've translated complex business needs into actionable solutions for clients, potentially involving technology integrations or platform adoption. Process Documentation:

• Documented examples of contributing to program design and business planning processes, illustrating how market evolution and customer expectations were incorporated.

• Case studies detailing how you've refined offerings based on performance tracking and feedback to scale impact.

• Evidence of developing and nurturing partner ecosystems to extend service capabilities and support.

📝 Enhancement Note: While a formal portfolio might not be explicitly requested, candidates are expected to articulate their experience through case studies and examples that demonstrate their consultative capabilities, data analysis skills, and strategic thinking. This aligns with the expectations for roles that influence GTM strategy and client success through operational excellence.

💵 Compensation & Benefits

Salary Range: €96,000 - €98,000 (EUR) per annum.

Benefits:

• 15% bonus target, tied to performance and company objectives.

• Equity grants, providing ownership and long-term financial upside.

• Comprehensive health benefits package, including medical, dental, and vision coverage.

• Access to Google's renowned perks and wellness programs.

• Opportunities for professional development, training, and continuous learning.

Working Hours: Standard full-time hours (approximately 40 hours per week), with flexibility expected to meet client needs and project deadlines.

📝 Enhancement Note: The salary range provided is specific to Ireland, reflecting local market conditions and Google's compensation structure for roles at this level of experience and responsibility. The inclusion of bonus targets, equity, and comprehensive benefits highlights Google's competitive compensation strategy for key strategic roles. The estimated 40 hours per week is a baseline, with the expectation of adaptability for client-facing and project-driven work, common in GTM and operations consulting roles.

🎯 Team & Company Context

🏢 Company Culture

Industry: Technology (Internet Services and Software)

Company Size: Large Enterprise (over 10,000 employees)

Founded: 1998, Google has a long-standing history of innovation and global impact.

Team Structure:

• This role is part of Google's Large Customer Sales (LCS) organization, a strategic unit focused on major global businesses and agencies.

• The team operates in a matrixed structure, requiring collaboration across Sales, Product, Engineering, and other GBS functional teams.

• Cross-functional collaboration is essential, working closely with Sales teams to identify client needs and with program managers and partner managers to deliver solutions. Methodology:

• Data Analysis & Insights: Emphasis on leveraging quantitative and qualitative data to understand client challenges, measure impact, and drive strategic recommendations.

• Workflow Planning & Optimization: Focus on designing and refining consultative processes and client engagement models to enhance efficiency and effectiveness.

• Automation & Efficiency: An interest in user-facing AI Solutions and Agentic User Experience suggests a drive towards leveraging technology for scalable and impactful client support.

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

📝 Enhancement Note: Google's culture is known for its innovation, data-driven decision-making, and emphasis on impact. The LCS team specifically operates with a strategic, consultative approach, aiming to be thought leaders. The size of Google implies a vast internal network and resources, but also necessitates strong navigation skills within a matrixed environment.

📈 Career & Growth Analysis

Operations Career Level: This role is positioned as a mid-level to senior consultant, requiring significant experience in client-facing advisory, strategic planning, and cross-functional collaboration. It bridges the gap between direct sales support and strategic program development.

Reporting Structure: Likely reports into a manager or director within the Global Business Solutions (GBS) or Large Customer Sales (LCS) organization, with direct interaction with senior sales leaders and client executives.

Operations Impact: The role directly influences revenue by enhancing client profitability and investment with Google's advertising solutions. It also shapes the future of advertising by contributing to the evolution of Google's offerings in the AI era.

Growth Opportunities:

• Specialization: Develop deep expertise in CX/UX, Agentic User Experience, AI solutions, and specific industry verticals within the digital advertising space.

• Leadership: Progress into senior consulting, program management, or team leadership roles within GBS or LCS.

• Cross-functional Mobility: Opportunities to move into related roles in product strategy, sales enablement, or business development within Google.

• Skill Development: Continuous learning through internal training, industry conferences, and exposure to cutting-edge technologies and market trends.

📝 Enhancement Note: This role offers a clear path for growth within a specialized area of strategic client advisory and GTM support. The emphasis on thought leadership and program design suggests opportunities for significant influence and career advancement within Google's expansive ecosystem.

🌐 Work Environment

Office Type: This is an on-site role at a Google office in Dublin, Ireland, suggesting a modern, collaborative workspace designed to foster innovation and teamwork.

Office Location(s): Dublin, Ireland. Google's Dublin campus is known for its amenities and collaborative spaces.

Workspace Context:

• Expect a highly collaborative environment with opportunities to work alongside sales teams, UX designers, data analysts, and other GBS specialists.

• Access to Google's extensive internal tools, technologies, and data resources will be crucial for analysis and consultation.

• Regular interaction with internal stakeholders and external clients, requiring strong communication and presentation skills.

Work Schedule: While a standard 40-hour work week is typical, the nature of client-facing consulting and strategic program development may require flexibility to meet project deadlines and client needs, especially in a global context.

📝 Enhancement Note: Google offices are designed to promote productivity, collaboration, and employee well-being. For this role, the on-site requirement emphasizes the importance of in-person collaboration, executive engagement, and immersion in the company's dynamic work culture.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening: A recruiter or hiring manager will review applications, focusing on alignment with minimum and preferred qualifications.

• Phone/Video Interviews: Expect interviews with team members to assess experience in sales, customer success, UX, data analysis, and stakeholder management.

• Case Study/Presentation: A significant portion of the process will likely involve a case study or presentation demonstrating your ability to analyze a business problem, propose a CX/UX-driven solution, and articulate its potential impact on profitability and customer experience. Focus on showcasing your data-driven approach and strategic thinking.

• On-site/Virtual Loop: A series of interviews with various stakeholders, including potential peers, managers, and cross-functional partners, to evaluate your technical skills, cultural fit, and ability to navigate complex relationships.

• Executive Interview: Potentially an interview with a senior leader to assess strategic alignment and thought leadership capabilities.

Portfolio Review Tips:

• Structure: Organize your portfolio with clear sections for different client engagements or projects. For each, detail the challenge, your approach (emphasizing CX/UX and data), the solution you developed, and the quantifiable results (profitability, cost reduction, engagement metrics).

• Data Visualization: If presenting data, use clear charts and graphs. Show how you interpreted quantitative and qualitative data to inform your recommendations.

• UX/AI Focus: Highlight specific examples where you applied UX principles or considered AI solutions to address client needs.

• Stakeholder Management: Be prepared to discuss how you managed relationships with internal sales teams and external client executives, demonstrating your ability to influence and build trust.

• Conciseness: Tailor your presentation to the time allotted. Focus on the most impactful examples that directly relate to the job description's core responsibilities.

Challenge Preparation:

• Business Acumen: Familiarize yourself with Google's advertising solutions, common client challenges in digital marketing, and key industry trends (AI, Agentic UX).

• Problem-Solving: Practice breaking down complex business problems into manageable components, identifying root causes, and proposing data-backed solutions.

• Communication: Rehearse articulating your thought process clearly and concisely, especially when discussing data analysis, strategic recommendations, and potential ROI. Be ready to adapt your communication style for different audiences.

📝 Enhancement Note: The emphasis on a case study or presentation strongly suggests that demonstrating practical application of skills in problem-solving, data analysis, and strategic recommendation is paramount. Candidates should prepare tangible examples of their work that align with the core responsibilities of driving CX/UX improvements for profitability.

🛠 Tools & Technology Stack

Primary Tools:

• CRM: Experience with CRM systems (e.g., Salesforce, Google's internal CRM) for managing client relationships and sales pipelines.

• Data Analysis & Visualization: Proficiency in tools like Google Analytics, SQL, BigQuery, Tableau, or Looker for analyzing large datasets and creating insightful reports and dashboards.

• Collaboration Platforms: Familiarity with Google Workspace (Docs, Sheets, Slides, Meet) and other project management/collaboration tools.

• UX Research Tools: Experience with tools for user research, usability testing, and feedback collection (e.g., UserTesting.com, Qualtrics, survey platforms).

Analytics & Reporting:

• Deep understanding of web analytics platforms to track user behavior, conversion rates, and campaign performance.

• Ability to synthesize data from various sources to create comprehensive reports for executive stakeholders.

• Experience in designing and interpreting A/B tests to optimize user flows and conversion funnels. CRM & Automation:

• Understanding of how CRM data can be leveraged for strategic insights and client segmentation.

• Familiarity with marketing automation principles and technologies that can enhance customer engagement and operational efficiency.

• Experience with data integration concepts to connect different systems and ensure data integrity.

📝 Enhancement Note: A strong command of data analysis tools, particularly those within the Google ecosystem (BigQuery, Looker, Google Analytics), will be a significant advantage. The role requires the ability to translate raw data into strategic recommendations that impact client profitability and their use of Google's advertising solutions.

👥 Team Culture & Values

Operations Values:

• Customer Focus: A deep commitment to understanding and improving the customer experience to drive mutual success.

• Data-Driven Decision Making: Reliance on data and analytics to inform strategies, measure impact, and drive continuous improvement.

• Innovation & Velocity: Embracing new technologies (like AI) and adapting quickly to market changes, moving with speed to deliver results.

• Ownership & Accountability: Acting like an owner, taking initiative, and being accountable for delivering extraordinary outcomes for both Google and its customers.

• Collaboration & Teamwork: Working effectively across teams and with diverse stakeholders to achieve ambitious goals.

Collaboration Style:

• Cross-functional Integration: Proactively engaging with Sales, Product, and Engineering teams to ensure holistic client solutions.

• Process Review & Feedback: Cultivating a culture of continuous improvement through open feedback loops and iterative refinement of strategies and offerings.

• Knowledge Sharing: Actively sharing insights, best practices, and learnings across teams to elevate collective expertise, particularly in areas like CX/UX and AI.

📝 Enhancement Note: Google's core values of innovation, customer focus, and data-driven approaches are central to this role. The emphasis on velocity and ownership aligns with the expectations for individuals who can drive significant impact within a fast-paced, competitive environment.

⚡ Challenges & Growth Opportunities

Challenges:

• Navigating Matrixed Structures: Effectively managing relationships and priorities across multiple internal teams and external stakeholders within a large organization.

• Translating Complex Data: Simplifying complex quantitative and qualitative data into clear, actionable insights for diverse audiences, including executives.

• Adapting to Rapid Technological Change: Staying abreast of advancements in AI, Agentic User Experience, and Google's evolving advertising solutions to provide cutting-edge advice.

• Driving Adoption of New Solutions: Convincing clients to adopt new strategies or technologies that may require significant behavioral or operational shifts.

Learning & Development Opportunities:

• Specialized Training: Access to Google's extensive internal training programs focused on AI, UX, data science, sales methodologies, and leadership.

• Industry Engagement: Opportunities to attend industry conferences, workshops, and partner events to stay current with market trends and best practices.

• Mentorship & Networking: Building relationships with experienced leaders and subject matter experts within Google for guidance and career development.

• Exposure to Cutting-Edge Technology: Working at the forefront of digital advertising, AI, and user experience innovation.

📝 Enhancement Note: This role presents opportunities to tackle complex strategic challenges at a global scale, fostering significant professional growth. The company's commitment to learning and development ensures that individuals can continuously enhance their skills and knowledge in high-demand areas.

💡 Interview Preparation

Strategy Questions:

• "Describe a time you used UX research or design principles to significantly improve a client's business outcomes (e.g., profitability, cost reduction, user engagement). What was your process, and what were the key metrics?"

  • Preparation: Prepare a detailed STAR method response focusing on your analytical process, the specific UX/CX interventions you recommended, and the quantifiable results you achieved. Emphasize data analysis and stakeholder buy-in.

• "How would you approach developing a consultative strategy for a large enterprise client looking to leverage AI in their advertising efforts to enhance user experience and drive profitability?"

  • Preparation: Outline a phased approach, including discovery, data assessment, solution design (considering Agentic UX), implementation planning, and measurement. Highlight how you'd integrate Google's solutions and manage client expectations.

• "Tell me about a complex internal or external stakeholder relationship you managed. How did you navigate competing priorities and ensure alignment towards a common goal?"

  • Preparation: Choose an example that demonstrates your ability to build trust, communicate effectively, and influence outcomes in a matrixed environment. Focus on strategic alignment and problem-solving.

Company & Culture Questions:

• "What interests you about Google's approach to AI and its impact on user experience and business solutions?"

  • Preparation: Research Google's latest AI initiatives, AI Principles, and any public statements on Agentic UX. Connect your interest to the role's responsibilities.

• "How do you see your role contributing to the strategic goals of Google's Large Customer Sales (LCS) team?"

  • Preparation: Understand the LCS mission. Frame your contribution in terms of driving client success, increasing revenue through strategic partnerships, and acting as a thought leader.

• "Describe your experience working in a dynamic, fast-paced environment with evolving priorities. How do you maintain focus and deliver results?"

  • Preparation: Highlight your adaptability, prioritization skills, and proactive approach to managing change. Provide specific examples of how you've thrived under pressure.

Portfolio Presentation Strategy:

• Focus on Impact: For each case study, clearly articulate the business problem, your unique contribution, the solution implemented, and the quantifiable business impact (e.g., % increase in profitability, % reduction in operating costs, % improvement in conversion rates).

• Data Storytelling: Weave a narrative around the data. Explain why the data led to your recommendations and how you interpreted complex findings.

• Conciseness and Clarity: Prepare a presentation that is easy to follow and respects the allocated time. Use visuals effectively to support your points.

• Adaptability: Be ready to pivot your presentation based on interviewer interest, potentially diving deeper into specific aspects like data analysis, UX principles, or stakeholder management.

📝 Enhancement Note: The interview process is designed to assess not only technical skills but also strategic thinking, communication prowess, and cultural alignment. Preparing specific, data-backed examples that demonstrate your ability to drive profitability through CX/UX improvements will be crucial.

📌 Application Steps

To apply for this operations position:

• Submit your application through the Google Careers portal.

• Portfolio Customization: Tailor your resume and any supplementary materials to highlight your experience in business technology sales, customer success, UX research/design, data analysis, and profitability consulting. Use keywords from the job description like "CX/UX," "profitability," "AI Solutions," and "stakeholder management."

• Resume Optimization: Clearly articulate quantifiable achievements using the STAR method (Situation, Task, Action, Result) for each relevant role. Ensure your resume showcases experience with app/web clients and any consultative advisory work.

• Interview Preparation: Practice articulating your experience through case studies. Be ready to discuss how you leverage data and UX principles to drive business outcomes. Prepare examples of navigating complex stakeholder relationships.

• Company Research: Deeply understand Google's business, its advertising solutions, its AI initiatives, and its company culture. Focus on how your skills and experience align with Google's mission and the specific requirements of this role.

⚠️ 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.