At a Glance
- Tasks: Lead technical deployment plans and resolve complex implementation challenges for Cloud AI solutions.
- Company: Join Google Cloud, a leader in innovative technology and digital transformation.
- Benefits: Competitive salary, inclusive culture, and opportunities for professional growth.
- Other info: Be part of a dynamic team driving the future of enterprise technology.
- Why this job: Make a real impact by helping businesses leverage cutting-edge AI technology.
- Qualifications: 6 years of experience in cloud architecture and customer-facing roles required.
The predicted salary is between 60000 - 80000 £ per year.
Minimum qualifications:
- Bachelor's degree or equivalent practical experience.
- 6 years of experience with cloud-native architecture in technical delivery, customer engineering, or enterprise architecture and in a customer-facing or enterprise support role.
- Experience in technical deployment planning, architecture orchestration, or technical delivery management.
- Experience with enterprise integrations (APIs, ECMs, identity), Cloud infrastructure, and AI/ML model deployments.
- Experience with programming languages, API integration, debugging, or enterprise systems design.
- Experience leading technical delivery strategies, debugging systems, and interfacing with product/engineering organizations.
Preferred qualifications:
- L300/L400 level technical proficiency or relevant AI/ML and Cloud architecture certifications.
- Experience guiding customers through the architectural and organizational transformations needed to deploy production-grade AI models or agents in enterprise environments.
- Technical experience in one or more of the following: Cloud AI solutions, Enterprise Data Management, Data Analytics, Infrastructure Modernization, Security, or Cloud Networking.
- Ability to dive deep into novel technical problems, decipher extreme ambiguity, diagnose bugs, and emerge with credible architectural solutions.
- Proven track record interfacing directly with core product and engineering organizations to expedite product bugs, advocate for feature gaps, and unblock systemic deployments.
About the job:
The Google Cloud Platform team helps customers transform and build what's next for their business — all with technology built in the cloud. Our products are developed for security, reliability and scalability, running the full stack from infrastructure to applications to devices and hardware. Our teams are dedicated to helping our customers — developers, small and large businesses, educational institutions and government agencies — see the benefits of our technology come to life.
As part of an entrepreneurial team in this rapidly growing business, you will play a key role in understanding the needs of our customers and help shape the future of businesses of all sizes use technology to connect with customers, employees and partners. As an AI Outcome Customer Engineer (AI OCE), you will drive initial and ongoing revenue ramp for our enterprise customers, clearing complex blockers and ensuring they realize maximum business value from their Cloud AI investments faster.
You will manage and execute the technical deployment plan, transitioning scoped license agreements into robust production deployments by providing authoritative technical leadership to customers and partners. You will have a direct impact on the velocity and incremental consumption of customer agreements, leading to accelerated value realization, higher adoption, and future expansion opportunities. You will blend sales acumen, enterprise architecture knowledge, technical engagement, and technical delivery management to prove and scale the value of Google's premier Cloud AI solutions.
Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.
Responsibilities:
- Develop and orchestrate a structured, end-to-end technical deployment plan across customer and partner teams.
- Lead upfront architectural validation to ensure integration readiness before execution begins.
- Dive into complex technical workflows to diagnose, debug, and resolve implementation roadblocks.
- Act as a technical bridge to core product and support engineering teams to eliminate systemic friction and accelerate customer delivery.
- Drive and track the progress of the initial and ongoing ramp of Cloud AI license agreements, guiding enterprise workloads from agreement to active consumption as rapidly and securely as possible.
- Partner collaboratively with Account and CEs team during the technical evaluation phase of key deals to ensure proposed Cloud AI solutions are architected for viable, scalable long-term adoption.
- Drive sustainable, secure Cloud AI product usage to help customers continuously realize quantifiable business outcomes and secure future contract renewals.
Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.
AI Outcome Customer Engineer, Cloud AI Tech GTM employer: WeAreTechWomen
At Google Cloud, we pride ourselves on fostering a dynamic and inclusive work environment that empowers our employees to innovate and excel. As an AI Outcome Customer Engineer, you will not only engage with cutting-edge technology but also have access to extensive professional development opportunities, ensuring your growth in the rapidly evolving field of cloud AI. Our collaborative culture encourages creativity and problem-solving, making it an ideal place for those looking to make a meaningful impact while enjoying the benefits of working with a global leader in technology.
StudySmarter Expert Advice🤫
We think this is how you could land AI Outcome Customer Engineer, Cloud AI Tech GTM
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We think you need these skills to ace AI Outcome Customer Engineer, Cloud AI Tech GTM
Some tips for your application 🫡
Showcase Your Technical Skills:In IT consulting, your technical know-how is key! Make sure your CV highlights any relevant programming languages, software tools, and methodologies you've used during your studies or projects. If you’ve done any coursework or side projects, don’t shy away from including them—that knowledge is super valuable!
Tailored CV for the Consulting Role:Craft your CV with an eye for consulting specifics. Emphasise your problem-solving abilities and any experience with client engagement—even if it’s just group projects from uni. Make sure to articulate your role in these scenarios; we want to see how you think and solve problems!
Express Your Passion for Consulting:Your cover letter is your chance to shine, so let your enthusiasm for IT consulting come through! Share why you're excited about the industry and what you hope to learn during your internship at WeAreTechWomen. Connecting your goals with their mission can really make you stand out!
Leverage Relevant Academic Projects:Don’t forget to mention any academic projects that relate to IT consulting in your application. Discuss specific cases where you analysed a problem and proposed a solution. This shows you’re not just book-smart; you can apply your knowledge in real-world scenarios!
How to prepare for a job interview at WeAreTechWomen
✨Showcase Your Problem-Solving Skills
In IT consulting, they’ll want to see how you approach real-world problems. Prepare examples from your studies or any projects where you diagnosed issues and proposed solutions. Think case studies and be ready for scenario-based questions that assess your analytical thinking.
✨Brush Up on Tech Tools
Get familiar with common tools and technologies used in the industry, such as CRM software, data analytics tools, or project management platforms. Be ready to discuss any relevant experience you've had with these tools or similar ones during the interview.
✨Highlight Your Learning Mindset
As a bachelor-level candidate, hiring managers at WeAreTechWomen will be looking for your potential to grow. Emphasise your eagerness to learn and adapt, maybe through internships or coursework, to show that you're ready to tackle the challenges of the IT consulting world.
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While you may not have extensive experience yet, confidence can really set you apart. Practice presenting your ideas clearly and assertively, and don't hesitate to articulate your passion for IT consulting. Remember, they’re not just hiring your skills—they’re hiring your attitude!
