📍 Job Overview

Job Title: Customer Engineer, Startups, Google Cloud
Company: Google
Location: Austin, TX, United States
Job Type: Full-time
Category: Technical Sales & Customer Success
Date Posted: June 27, 2025
Experience Level: Mid-Senior level (5-10 years)
Remote Status: On-site (Austin, TX) with Remote OK

🚀 Role Summary

📝 Enhancement Note: This role involves technical sales and customer success, focusing on Google Cloud's startup customer segment. It requires a strong background in cloud-native architecture and customer-facing experience.
Collaborate with technical sales teams to differentiate Google Cloud and solve business challenges for startup customers.
Develop creative cloud solutions and architectures, engage in proofs-of-concept, and troubleshoot technical questions.
Manage technical relationships with customers and coordinate additional technical resources.

💻 Primary Responsibilities

📝 Enhancement Note: The primary responsibilities revolve around technical problem-solving, customer engagement, and solution development.
💡 Inspire customers and peers to solve difficult problems with novel solutions leveraging a set of technical competencies.
🔄 Work with the team to identify and qualify business opportunities, identify key customer technical objections, and develop a strategy to resolve technical blockers.
🤝 Manage the technical relationship with customers, including managing product and solution briefings, proof-of-concept work, and the coordination of additional technical resources.
🛠 Work with customers to demonstrate and prototype Google Cloud product integrations in customer/partner environments.
🏢 Recommend migration strategies, enterprise architectures, migration tools, and cloud infrastructure required to successfully implement a complete solution using best practices on Google Cloud.

🎓 Skills & Qualifications

Education: Bachelor's degree or equivalent practical experience. A Master's degree in Computer Science, Engineering, Mathematics, a technical field, or equivalent practical experience is preferred.

Experience: 4 years of experience with cloud-native architecture in a customer-facing or support role. Experience with containers, AI infrastructure, and machine learning model development is preferred.

Required Skills:

Cloud-native architectures (compute, network, storage, security, machine learning, modern application development practices)
Technical workshops, proof-of-concepts, and customer evaluations with executive leaders and stakeholders
Problem-solving skills and ability to work with customers to understand business and technical requirements

Preferred Skills:

Experience with containers (Docker, Kubernetes) and serverless architectures
Familiarity with AI infrastructure (e.g., GPUs/TPUs), architectures, and technologies
Experience with machine learning model development and deployment

📊 Web Portfolio & Project Requirements

📝 Enhancement Note: While not explicitly mentioned, a strong portfolio demonstrating cloud architecture, technical problem-solving, and customer success skills would be beneficial for this role.

Portfolio Essentials:
- Case studies showcasing successful cloud migrations, architecture designs, and problem-solving for startup customers.
- Technical documentation demonstrating understanding of cloud-native architectures, containers, and AI infrastructure.
- Examples of customer evaluations, workshops, and proof-of-concept projects.
Technical Documentation:
- Code quality, commenting, and documentation standards for cloud architecture and infrastructure as code (IaC) projects.
- Version control, deployment processes, and server configuration management.
- Testing methodologies, performance metrics, and optimization techniques for cloud-based solutions.

💵 Compensation & Benefits

Salary Range: The US base salary range for this full-time position is $102,000-$146,000 + bonus + equity + benefits. Individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training.

Benefits:

Bonus
Equity
Comprehensive benefits package (health, dental, vision, retirement, etc.)

Working Hours: Full-time position with standard working hours, potentially flexible for project deadlines and maintenance windows.

🎯 Team & Company Context

🏢 Company Culture

Industry: Technology, with a focus on cloud computing and data analytics.
Company Size: Large (100,000+ employees)
Founded: 1998, with a rich history in innovation and technological advancements.

Team Structure:

The team consists of technical sales professionals, customer success managers, and technical specialists focused on Google Cloud's startup customer segment.
The team works cross-functionally with product marketing, engineering, and other internal teams to stay updated on industry trends and enhance Google Cloud products.

Development Methodology:

Agile methodologies, including Scrum, are used for project management and customer success processes.
Code reviews, testing, and quality assurance practices are employed to ensure high-quality solutions.
Deployment strategies, CI/CD pipelines, and server management are crucial for successful customer implementations.

Company Website: www.google.com

📝 Enhancement Note: Google's company culture emphasizes innovation, collaboration, and user-centric design. The team structure and development methodologies support a dynamic and fast-paced work environment.

📈 Career & Growth Analysis

Web Technology Career Level: Mid-Senior level, focusing on technical sales, customer success, and cloud architecture expertise.

Reporting Structure: This role reports directly to the Google Cloud Startup team's management and works closely with technical sales teams and other internal teams.

Technical Impact: The role has a significant impact on Google Cloud's startup customer success, driving adoption, and ensuring customer satisfaction through technical problem-solving and solution development.

Growth Opportunities:

🚀 Technical Career Progression: Opportunities to specialize in specific cloud technologies, advance to senior or principal roles, or transition into other technical roles within Google Cloud.
🌟 Technical Leadership: Potential to lead technical workshops, mentor junior team members, and influence Google Cloud's product development and roadmap.
💡 Innovation and Emerging Technologies: Exposure to cutting-edge technologies and trends, fostering continuous learning and skill development.

📝 Enhancement Note: Google offers numerous growth opportunities, including career progression, technical leadership, and exposure to emerging technologies. The company's large size and diverse product portfolio enable employees to explore various paths and specializations.

🌐 Work Environment

Office Type: Modern, collaborative workspace with state-of-the-art facilities and amenities.

Office Location(s): Austin, TX, United States, with remote work flexibility for specific roles and projects.

Workspace Context:

🌐 Collaborative Work Environment: Open-plan offices, meeting rooms, and breakout spaces designed to foster collaboration and innovation.
💻 Development Tools & Infrastructure: Access to cutting-edge tools, multiple monitors, and testing devices to support cloud architecture and solution development.
🤝 Cross-Functional Collaboration: Interaction with various teams, including sales, marketing, product, and engineering, to drive customer success and product innovation.

Work Schedule: Standard full-time working hours, with flexibility for project deadlines, maintenance windows, and customer needs.

📝 Enhancement Note: Google's work environment emphasizes collaboration, innovation, and employee well-being. The company offers modern, well-equipped offices and flexible work arrangements to support employee productivity and work-life balance.

📄 Application & Technical Interview Process

Interview Process:

📝 Enhancement Note: The interview process for this role likely includes technical assessments, customer success case studies, and behavioral interviews to evaluate the candidate's technical skills, problem-solving abilities, and cultural fit.
💡 Technical Assessment: A hands-on assessment or case study focused on cloud architecture, solution development, and problem-solving for startup customers.
🤝 Customer Success Case Study: A presentation or discussion of a successful customer engagement, focusing on understanding customer needs, developing solutions, and driving customer success.
🧑‍💻 Behavioral Interview: A conversation focusing on the candidate's problem-solving skills, communication abilities, and cultural fit within the Google Cloud team.

Portfolio Review Tips:

📝 Enhancement Note: While not explicitly mentioned, preparing a portfolio showcasing successful cloud architecture projects, customer success stories, and technical problem-solving examples will strengthen the candidate's application.
🏢 Customer Success Stories: Highlight customer success stories, focusing on understanding customer needs, developing tailored solutions, and driving positive business outcomes.
🛠 Technical Architecture Projects: Showcase cloud architecture projects demonstrating proficiency in cloud-native architectures, containers, and AI infrastructure.
📊 Performance Metrics: Include performance metrics and optimization techniques used to improve cloud-based solutions and drive customer success.

Technical Challenge Preparation:

📝 Enhancement Note: Familiarize yourself with Google Cloud's products and services, focusing on cloud-native architectures, containers, and AI infrastructure. Brush up on your problem-solving skills and customer success strategies.
💡 Google Cloud Platform (GCP) Fundamentals: Review GCP's core products and services, focusing on compute, network, storage, security, and machine learning offerings.
🤝 Customer Success Strategies: Refresh your understanding of customer success best practices, focusing on customer engagement, solution development, and problem-solving.
📊 Performance Optimization: Familiarize yourself with performance optimization techniques for cloud-based solutions, focusing on scalability, cost-efficiency, and user experience.

ATS Keywords:

📝 Enhancement Note: Incorporate relevant ATS keywords throughout your resume and application materials, focusing on cloud-native architecture, customer success, and technical problem-solving skills.
Cloud-Native Architecture: Cloud-native architecture, cloud-native applications, microservices, containers, Kubernetes, serverless architectures, AI infrastructure, machine learning, modern application development practices.
Customer Success: Customer success, customer engagement, customer relationship management, customer experience, customer satisfaction, customer retention, customer acquisition.
Technical Problem-Solving: Problem-solving, technical troubleshooting, root cause analysis, solution development, architecture design, technical workshops, proof-of-concepts, customer evaluations.

📝 Enhancement Note: Tailor your resume and application materials to emphasize relevant ATS keywords, focusing on cloud-native architecture, customer success, and technical problem-solving skills. This will help your application stand out and increase the likelihood of being selected for an interview.

🛠 Technology Stack & Web Infrastructure

📝 Enhancement Note: While not explicitly mentioned, familiarity with Google Cloud Platform (GCP) and its core products and services is essential for this role. Additionally, experience with cloud-native architectures, containers, and AI infrastructure is preferred.

Google Cloud Platform (GCP) Core Products & Services:

Compute: Compute Engine, App Engine, Kubernetes Engine, Cloud Functions, Cloud Run
Network: Virtual Private Cloud (VPC), Cloud Load Balancing, Cloud CDN, Cloud DNS, Cloud Interconnect, Cloud VPN
Storage: Cloud Storage, Cloud SQL, Cloud Spanner, Cloud Bigtable, Cloud Memorystore, Cloud Firestore
Security: Identity and Access Management (IAM), Cloud Security Scanner, Cloud Armor, Cloud Key Management Service, VPC Service Controls
Machine Learning: AI Platform, BigQuery ML, AutoML, Dialogflow, Vision API, Natural Language API, Speech-to-Text, Text-to-Speech

Containers & Server Technologies:

Docker, Kubernetes, Helm, Terraform, Ansible, Puppet, Chef

Development & DevOps Tools:

Git, GitHub, GitLab, Bitbucket, Jenkins, CircleCI, Travis CI, Cloud Build, Cloud Source Repositories, Cloud Code

👥 Team Culture & Values

📝 Enhancement Note: Google's team culture emphasizes collaboration, innovation, and user-centric design. The company values diversity, inclusion, and continuous learning.

Google's Core Values:

🌟 User-Centric: Focus on the user and all else will follow.
💡 Innovation: Think big, take risks, and iterate quickly.
🤝 Collaboration: Work together, win together.
🌱 Inclusion: Create a workplace where everyone can thrive.
🌍 Sustainability: Power the future, sustainably.

Collaboration Style:

🤝 Cross-Functional Integration: Close collaboration with sales, marketing, product, and engineering teams to drive customer success and product innovation.
💡 Code Review Culture: Regular code reviews and pair programming practices to ensure high-quality solutions and knowledge sharing.
📚 Knowledge Sharing: Encouraging continuous learning, technical mentoring, and knowledge sharing across the team and the broader Google Cloud community.

📝 Enhancement Note: Google's team culture fosters collaboration, innovation, and user-centric design. The company's core values emphasize diversity, inclusion, and continuous learning, creating an environment where employees can thrive and drive customer success.

⚡ Challenges & Growth Opportunities

📝 Enhancement Note: This role presents unique challenges and growth opportunities, focusing on technical problem-solving, customer success, and cloud architecture expertise.

Technical Challenges:

🌐 Cloud Architecture: Designing and implementing scalable, secure, and cost-effective cloud architectures for startup customers.
🤝 Customer Success: Developing tailored solutions and driving customer success for a diverse range of startup customers with unique business challenges and technical requirements.
🛠 Problem-Solving: Identifying and resolving technical blockers and obstacles to customer success, often under tight deadlines and high-pressure situations.
💡 Emerging Technologies: Staying up-to-date with the latest cloud technologies, trends, and best practices, and incorporating them into customer solutions and architecture designs.

Learning & Development Opportunities:

🎓 Technical Skill Development: Enhancing cloud architecture, containers, AI infrastructure, and machine learning skills through hands-on projects, workshops, and training opportunities.
🌐 Conference Attendance & Certification: Attending industry conferences, obtaining relevant certifications, and engaging with the broader Google Cloud community to expand technical knowledge and expertise.
🌟 Technical Mentorship & Leadership: Providing technical mentorship to junior team members, contributing to Google Cloud's product development and roadmap, and driving innovation and best practices within the team and the broader Google Cloud organization.

📝 Enhancement Note: This role offers unique challenges and growth opportunities, focusing on technical problem-solving, customer success, and cloud architecture expertise. By embracing these challenges and leveraging the available learning and development opportunities, candidates can grow both personally and professionally within the Google Cloud organization.

💡 Interview Preparation

📝 Enhancement Note: Prepare for the interview by familiarizing yourself with Google Cloud's products and services, brushing up on your cloud architecture, customer success, and problem-solving skills, and researching the company's culture and values.

Technical Questions:

💡 Google Cloud Platform (GCP) Fundamentals: Demonstrate a strong understanding of GCP's core products and services, focusing on compute, network, storage, security, and machine learning offerings.
🤝 Customer Success Strategies: Showcase your ability to understand customer needs, develop tailored solutions, and drive customer success through real-world examples and case studies.
🛠 Problem-Solving: Present practical problem-solving skills and customer success strategies through hands-on examples, case studies, and technical architecture designs.

Company & Culture Questions:

🌟 Google's Core Values: Demonstrate a strong understanding of Google's core values, focusing on user-centric design, innovation, collaboration, inclusion, and sustainability.
🤝 Cross-Functional Collaboration: Explain how you would collaborate with sales, marketing, product, and engineering teams to drive customer success and product innovation within the Google Cloud organization.
🌐 Global Impact: Discuss how you would leverage your technical expertise and customer success skills to drive global impact and contribute to Google Cloud's mission and vision.

Portfolio Presentation Strategy:

📝 Enhancement Note: Tailor your portfolio to highlight your cloud architecture, customer success, and problem-solving skills, with a focus on Google Cloud's products and services.
🏢 Customer Success Stories: Present customer success stories demonstrating your ability to understand customer needs, develop tailored solutions, and drive positive business outcomes.
🛠 Technical Architecture Projects: Showcase cloud architecture projects demonstrating proficiency in cloud-native architectures, containers, and AI infrastructure, with a focus on Google Cloud's products and services.
📊 Performance Metrics: Include performance metrics and optimization techniques used to improve cloud-based solutions and drive customer success, with a focus on Google Cloud's products and services.

📝 Enhancement Note: By tailoring your portfolio to highlight your cloud architecture, customer success, and problem-solving skills, with a focus on Google Cloud's products and services, you can effectively demonstrate your qualifications and increase the likelihood of success in the interview process.

📌 Application Steps

To apply for this Customer Engineer, Startups, Google Cloud position:

📝 Enhancement Note: Tailor your resume and application materials to emphasize relevant ATS keywords, focusing on cloud-native architecture, customer success, and technical problem-solving skills. Highlight your experience with Google Cloud's products and services, cloud architecture projects, and customer success stories.
💡 Resume Optimization: Optimize your resume for ATS systems by incorporating relevant keywords, focusing on cloud-native architecture, customer success, and technical problem-solving skills. Use clear and concise bullet points to highlight your experience and accomplishments.
📝 Portfolio Customization: Customize your portfolio to showcase your cloud architecture, customer success, and problem-solving skills, with a focus on Google Cloud's products and services. Include customer success stories, technical architecture projects, and performance metrics to demonstrate your qualifications and increase the likelihood of success in the interview process.
🌐 Company Research: Research Google's company culture, values, and mission. Prepare thoughtful and insightful questions to ask during the interview process, demonstrating your understanding of the company and your fit within the Google Cloud organization.
📝 Application Submission: Submit your application through the application link, following the instructions provided by Google's recruiting team.

📝 Enhancement Note: By following these application steps and tailoring your resume, portfolio, and interview preparation to the specific requirements of the Customer Engineer, Startups, Google Cloud role, you can increase your chances of success in the application and interview process.

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

Customer Engineer, Startups, Google Cloud