AI Outcome Engineer, Forward Deployed Engineering Share AI Outcome Engineer, Forward Deployed Engineering _corporate_fare_ Google _place_ Madrid, Spain **Mid** Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area. Share AI Outcome Engineer, Forward Deployed Engineering **Minimum qualifications:** + Bachelor's degree or equivalent practical experience. + 3 years of experience troubleshooting technical issues for internal/external partners or customers. + Experience in either system design or reading code (e.g., Java, C++, Python). **Preferred qualifications:** + Experience interfacing directly with core product/engineering organizations regarding infrastructure or AI/ML model deployments, managing technical delivery strategies, and debugging systems. **About the job** As an AI Outcome Customer Engineer (OCE) you will embed with our customers to drive the adoption of Google Cloud enterprise AI products, acting as a trusted advisor to customer stakeholders, partners, and internal product and engineering teams. You will develop, manage and execute the AI deployment plan, by providing technical leadership, applying your skills in Enterprise Architecture, consultative delivery, Applied Artificial Intelligence engineering, and AI solution engineering. You will have a direct impact on the velocity of customer adoption and business outcomes realised through the successful deployment of enterprise AI solutions and use cases. You will blend delivery expertise, market and industry knowledge, technical implementation, and technical project leadership to realise the value of Google Cloud AI with our customers.Individual pay is determined by factors including job-related skills, experience, and relevant education or training. Spain: 70000 - 71500 (EUR) + 15% bonus target + equity + benefits Learn more aboutbenefits at Google (https://www.google.com/about/careers/applications/benefits/) . **Responsibilities** + Develop and orchestrate a structured,



end-to-end deployment plan across customer, professional services, and partner teams, onboarding the implementation team, clearing blockers, managing timelines and progress, and ensuring readiness. + Employ code development, debugging, or systems design to resolve technical blockers and accelerate customer time-to-value. + Drive and track progress of the initial and ongoing adoption of enterprise AI, accelerating customers from initial agreement to business outcomes as quickly as possible. + Identify and develop opportunities for new enterprise AI use cases during project execution. + Drive sustainable product usage to help customers realize ongoing business value. Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google'sApplicant and Candidate Privacy Policy (./privacy-policy) . Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See alsoGoogle's EEO Policy (https://www.google.com/about/careers/applications/eeo/) ,Know your rights:



workplace discrimination is illegal (https://careers.google.com/jobs/dist/legal/EEOC_KnowYourRights_10_20.pdf) ,Belonging at Google (https://about.google/belonging/) , andHow we hire (https://careers.google.com/how-we-hire/) . If you have a need that requires accommodation, please let us know by completing ourAccommodations for Applicants form (https://goo.gl/forms/aBt6Pu71i1kzpLHe2) . Google is a general company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting. To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes. Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right. 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. See also https://careers.google.com/eeo/ and https://careers.google.com/jobs/dist/legal/OFCCP_EEO_Post.pdf If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form: https://goo.gl/forms/aBt6Pu71i1kzpLHe2.

📌 AI Outcome Engineer, Forward Deployed Engineering (Madrid)
🏢 Google
📍 Madrid